The document provides information and questions related to statistics concepts including hypothesis testing, probability, sampling, and data analysis. It includes sample size, means, standard deviations, test statistics, critical values, and confidence levels for hypothesis tests. Questions involve probabilities and distributions for dice rolls, sports preferences among university students, apple weights, disease screening tests, fraud detection using Benford's law, and gemstone hardness tests. Other questions cover seating arrangements, swimming pool contamination sampling, and determining the number of dishes to order for a banquet.
STATUse the information below to answer Questions 1 through 4..docxdessiechisomjj4
STAT
Use the information below to answer Questions 1 through 4.
Given a sample size of 36, with sample mean 670.3 and sample standard deviation 114.9, we perform the following hypothesis test.
Null Hypothesis
Alternative Hypothesis
1. What is the test statistic?
2. At a 10% significance level (90% confidence level), what is the critical value in this test? Do we reject the null hypothesis?
3. What are the border values between acceptance and rejection of this hypothesis?
4. What is the power of this test if the assumed true mean were 710 instead of 700?.
Questions 5 through 8 involve rolling of dice.
5. Given a fair, six-sided die, what is the probability of rolling the die twice and getting a “1” each time?
6. What is the probability of getting a “1” on the second roll when you get a “1” on the first roll?
7. The House managed to load the die in such a way that the faces “2” and “4” show up twice as frequently as all other faces. Meanwhile, all the other faces still show up with equal frequency. What is the probability of getting a “1” when rolling this loaded die?
8. Write the probability distribution for this loaded die, showing each outcome and its probability. Also plot a histogram to show the probability distribution.
Use the data in the table to answer Questions 9 through 11.
x
3
1
4
4
5
y
1
-2
3
5
9
9. Determine SSxx, SSxy, and SSyy.
10.
Find the equation of the regression line. What is the predicted value when
11. Is the correlation significant at 1% significance level (99% confidence level)? Why or why not?
Use the data below to answer Questions 12 through 14.
A group of students from three universities were asked to pick their favorite college sport to attend of their choice: The results, in number of students, are listed as follows:
Football
Basketball
Soccer
Maryland
60
70
20
Duke
10
75
15
UCLA
35
65
25
Supposed a student is randomly selected from the group mentioned above.
12. What is the probability that the student is from UCLA or chooses football?
13. What is the probability that the student is from Duke, given that the student chooses basketball?
14. What is the probability that the student is from Maryland and chooses soccer?
Use the information below to answer Questions 15 and 17.
There are 3600 apples in a shipment. The weight of the apples in this shipment is normally distributed. It is found that it a mean weight of 14 ounces with a standard deviation of 2.5 ounces.
15. How many of apples have weights between 13 ounces and 15 ounces?
16. What is the probability that a randomly selected mango weighs less than 12.5 ounces?
17. A quality inspector randomly selected 100 apples from the shipment.
a. What is the probability that the 100 randomly selected apples have a mean weight less than 12.5 ounces?
b. Do you come up with the same result in Question 16? Why or why not?
18. A pharmaceutical company has developed a screening test for a rare disease that afflicted 2% of the population. Un.
Stat 230 Summer 2014 – Final Exam Page 1 .docxdessiechisomjj4
Stat 230 Summer 2014 – Final Exam
Page 1
Please answer all 30 questions. Make sure your answers are as complete as
possible. Show all of your work and reasoning. In particular, when there are
calculations involved, you must show how you come up with your answers
with critical work and/or necessary tables. Answers that come straight from
program software packages will not be accepted.
You must include the Honor Pledge on the title page of your
submitted final exam. Exam submitted without the Honor
Pledge will not be accepted.
Honor Pledge: "I have completed this final examination myself, working independently
and not consulting anyone except the instructor. I have neither given nor received help on this
final examination."
Use the information below to answer Questions 1 through 3.
Given a sample size of 34, with sample mean 660.3 and sample standard deviation 104.9, we
perform the following hypothesis test. Since n>30, this is a Z test.
Null Hypothesis 0 : 700H
Alternative Hypothesis : 700aH
1. What is the test statistic? What is the p-value?
2. At a 5% significance level (95% confidence level), what is the critical value(s) in this
test? Do we reject the null hypothesis?
3. What are the border values of x between acceptance and rejection of this hypothesis?
Stat 230 Summer 2014 – Final Exam
Page 2
Questions 4 through 7 involve rolling of dice.
4. Given a fair, six-sided die, what is the probability of rolling the die twice and getting a
“1” each time?
5. What is the probability of getting a “1” on the second roll when you get a “1” on the first
roll?
6. The House managed to load the die in such a way that the faces “2” and “4” show up
twice as frequently as all other faces. Meanwhile, all the other faces still show up with
equal frequency. What is the probability of getting a “5” when rolling this loaded die?
7. Write the probability distribution for this loaded die, showing each outcome and its
probability.
Use the data in the table to answer Questions 8 through 9.
x 3 1 4 4 5
y 2 -2 5 4 8
8. Determine SSxx, SSxy, and SSyy.
9. Find the equation of the regression line. What is the predicted value when 4?x
Stat 230 Summer 2014 – Final Exam
Page 3
Use the data below to answer Questions 10 through 12.
A group of students from three universities were asked to pick their favorite college sport
to attend of their choice: The results, in number of students, are listed as follows:
Football Basketball Soccer
Maryland 60 70 20
Duke 10 75 15
UCLA 35 65 25
Supposed that a student is randomly selected from the group mentioned above.
10. What is the probability that the student is from UCLA or chooses football?
11. What is the probability that the student is from Duke, given that the student chooses
basketball?
12. What is the probability that the .
1 Review and Practice Exam Questions for Exam 2 Lea.docxmercysuttle
1
Review and Practice Exam Questions for Exam 2
Learning Objectives:
Chapter 17: Thinking about chance
• Explain how random events behave in the short run and in the long run and how random and
haphazard are not the same thing.
• Perform basic probability calculations using die rolls and coin tosses.
• Define probability, and apply the rules for probability.
• Explain whether the law of averages is true.
• Explain how personal probability differs from a scientific or experimental probability.
Chapter 18: Probability models
• Define a probability model. Create a probability model for a particular story’s events.
• Apply the basic rules of probability to a story problem.
• Calculate probabilities using a probability model, including summing up probabilities or
subtracting probabilities from the total.
• Define a sampling distribution.
Chapter 20: The house edge: expected values
• Define expected value, and calculate the expected value when given a probability model.
• Define the law of large numbers, and explain how it is different from the mythical “law of
averages.”
• Explain how casinos and insurance companies stay in business and make money.
Chapter 13: The Normal distribution
• Identify data that is Normally distributed.
• Discuss how the shape/position of the Normal curve changes when the standard deviation
increases/decreases or when the mean increases/decreases.
• Define the standardized value or Z-score. Calculate the Z-score, and use the Z-score to do
comparisons.
• Calculate probabilities and cut-off values using the 68%-95%-99.7% (Empirical) Rule.
• Identify the mean, standard deviation, cut-off value, probability, and Z-score on a Normal curve.
• Use the Normal table to get percentiles (probabilities) for forward problems and to get Z-scores
in order to determine cut-offs for backward problems using both > and < in the inequalities.
• Recognize whether a story is a forward or backward Normal distribution problem, and perform
the appropriate calculations showing correct notation, the initial probability expression, and all
necessary steps.
2
Chapter 21: What is a confidence interval?
• Define statistical inference and explain when statistical inference is used.
• Explain what the confidence interval means and whether the results refer to the population or
the sample.
• Calculate the margin of error and identify the margin of error in a confidence statement.
Explain what type of error is covered in the margin of error.
• Determine whether a story is better described with a proportion or a mean.
• Use appropriate notation for proportions and means, both in the population and the sample.
• Calculate a confidence interval for a proportion and for a mean.
• Describe how increasing/decreasing the sample size or confidence level changes the margin of
error (width of the confidence interval).
• Apply cautions for using confidence inte ...
1. In the construction of decision trees, which of the following s.docxhyacinthshackley2629
1. In the construction of decision trees, which of the following shapes represents a state of nature node? (Points : 1)
square
circle
diamond
triangle
Question 2.2. In the construction of decision trees, which of the following shapes represents a decision node? (Points : 1)
square
circle
diamond
triangle
Question 3.3. A market research study is being conducted to determine if a product modification will be well received by the public. A total of 1,000 consumers are questioned regarding this product.
The table below provides information regarding this sample.
Positive
Reaction
Neutral
Reaction
Negative
Reaction
Male
240
60
100
Female
260
220
120
What is the probability that a randomly selected person would be a female who had a positive reaction? (Points : 1)
0.250
0.260
0.455
0.840
Question 4.4. The probability that a typical tomato seed will germinate is 60%. A seed company has developed a hybrid tomato that they claim has an 85% probability of germination. If a gardener plants the new hybrid tomato in batches of 12, what is the probability that 10 or more seeds will germinate in a batch? (Points : 1)
0.064
0.083
0.264
0.736 <-- Not sure
Question 5.5. Historical data indicates that only 20% of cable customers are willing to switch companies. If a binomial process is assumed, then in a sample of 20 cable customers, what is the probability that no more than 3 customers would be willing to switch their cable? (Points : 1)
0.85
0.15
0.20
0.411
Question 6.6. Lock combinations are made using 3 digits followed by 2 letters. How many different lock combinations can be made if repetition of digits is allowed? (Points : 1)
6
260
6,760
676,000
Question 7.7. In 2012 the stock market took some big swings up and down. One thousand investors were asked how often they tracked their investments. The table below shows their responses. What is the probability that an investor tracks the portfolio weekly?
How often tracked?
Response
Daily
235
Weekly
278
Monthly
292
Few times a year
136
Do not track
59
(Points : 1)
0.235
0.278
0.513
0.722
Question 8.8. In hypothesis testing, the null and the alternative hypotheses are ________. (Points : 1)
not mutually exclusive
mutually exclusive
always false
always true
Question 9.9. If we fail to reject the null hypothesis, ________. (Points : 1)
we have found evidence to support the alternative hypothesis
the null hypothesis is proved to be true
we have only failed to find evidence to support the alternative hypothesis
the hypothesis test is inconclusive
Question 10.10. The probability of a Type I error can be specified by the investigator. The probability of a Type II error is ________. (Points : 1)
one minus the probability of Type I erro.
STAT 200 Massive Success / snaptutorial.comReynolds79
1. (10 points) Once upon a time, I had a fast-food lunch with a mathematician colleague. I
noticed a very strange behavior in him. I called it the Au-Burger Syndrome since it was
discovered by me at a burger joint. Based on my unscientific survey, it is a rare but real malady
inflicting 2% of mathematicians worldwide. Yours truly has recently discovered a screening test
This quiz consists of 20 questions most appear to be similar but now.docxamit657720
This quiz consists of 20 questions most appear to be similar but now really. I ned someone who is familiar with bio-statistics and math. The due date is tomorrow 4 pm PST. or (16:00). Please if you accept handshake you must do the work not get from previous papers or tell me you had emergency an hour before its due. This is important to me.
attached is the file just in case you need it in word format. Thank you in advance.
1.
The standard deviation of the diameter at breast height, or DBH, of the slash pine tree is less than one inch. Identify the Type I error. (Points : 1)
[removed] Fail to support the claim σ < 1 when σ < 1 is true.
[removed] Support the claim μ < 1 when μ = 1 is true.
[removed]
Support the claim σ < 1 when σ = 1 is true.
[removed] Fail to support the claim μ < 1 when μ < 1 is true.
1a. The EPA claims that fluoride in children's drinking water should be at a mean level of less than 1.2 ppm, or parts per million, to reduce the number of dental cavities. Identify the Type I error. (Points : 1)
[removed] Fail to support the claim σ < 1.2 when σ < 1.2 is true.
[removed] Support the claim μ < 1.2 when μ = 1.2 is true.
[removed] Support the claim σ < 1.2 when σ = 1.2 is true.
[removed] Fail to support the claim μ < 1.2 when μ < 1.2 is true.
2.
Biologists are investigating if their efforts to prevent erosion on the bank of a stream have been statistically significant. For this stream, a narrow channel width is a good indicator that erosion is not occurring. Test the claim that the mean width of ten locations within the stream is greater than 3.7 meters. Assume that a simple random sample has been taken, the population standard deviation is not known, and the population is normally distributed. Use the following sample data:
3.3 3.3 3.5 4.9 3.5 4.1 4.1 5 7.3 6.2
What is the P-value associated with your test statistic? Report your answer with three decimals, e.g., .987 (Points : 1)
2a. Medical researchers studying two therapies for treating patients infected with Hepatitis C found the following data. Assume a .05 significance level for testing the claim that the proportions are not equal. Also, assume the two simple random samples are independent and that the conditions np ≥ 5 and nq ≥ 5 are satisfied.
Therapy 1
Therapy 2
Number of patients
39
47
Eliminated Hepatitis
20
13
C infection
Construct a 95% confidence interval estimate of the odds ratio of the odds for having Hepatitis C after Therapy 1 to the odds for having Hepatitis C after Therapy 2. Give your answer with two decimals, e.g., (12.34,56.78) (Points : 0.5)
[removed]
3. Researchers studying sleep loss followed the length of sleep, in hours, of 10 individuals with insomnia before and after cognitive behavioral therapy (CBT). Assume a .05 significance level to test the claim that there is a difference between the length of sleep of individuals before and after CBT. Also, assume the data consist of matched pair ...
Question 1 1. Assume that the data has a normal distribution .docxIRESH3
Question 1
1.
Assume that the data has a normal distribution and the number of observations is greater than fifty. Find the critical z value used to test a null hypothesis. = 0.09 for a right-tailed test.
Answer
±1.96
1.34
±1.34
1.96
5 points
Question 2
1.
Find the value of the test statistic z using z = The claim is that the proportion of drowning deaths of children attributable to beaches is more than 0.25, and the sample statistics include n = 681 drowning deaths of children with 30% of them attributable to beaches.
Answer
3.01
2.85
-2.85
-3.01
5 points
Question 3
1.
Use the given information to find the P-value. Also, use a 0.05 significance level and state the conclusion about the null hypothesis (reject the null hypothesis or fail to reject the null hypothesis). The test statistic in a left-tailed test is z = -1.83.
Answer
0.0672; reject the null hypothesis
0.0336; reject the null hypothesis
0.9664; fail to reject the null hypothesis
0.0672; fail to reject the null hypothesis
5 points
Question 4
1.
Use the given information to find the P-value. Also, use a 0.05 significance level and state the conclusion about the null hypothesis (reject the null hypothesis or fail to reject the null hypothesis). With H1: p < 3/5, the test statistic is z = -1.68.
Answer
0.093; fail to reject the null hypothesis
0.0465; fail to reject the null hypothesis
0.0465; reject the null hypothesis
0.9535; fail to reject the null hypothesis
5 points
Question 5
1.
Formulate the indicated conclusion in nontechnical terms. Be sure to address the original claim. The owner of a football team claims that the average attendance at games is over 694, and he is therefore justified in moving the team to a city with a larger stadium. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is failure to reject the null hypothesis, state the conclusion in nontechnical terms.
Answer
There is not sufficient evidence to support the claim that the mean attendance is less than 694.
There is sufficient evidence to support the claim that the mean attendance is greater than 694.
There is sufficient evidence to support the claim that the mean attendance is less than 694.
There is not sufficient evidence to support the claim that the mean attendance is greater than 694.
5 points
Question 6
1.
Assume that a hypothesis test of the given claim will be conducted. Identify the type I or type II error for the test. A consumer advocacy group claims that the mean mileage for the Carter Motor Company's new sedan is less than 32 miles per gallon. Identify the type I error for the test.
Answer
Fail to reject the claim that the mean is equal to 32 miles per gallon when it is actually greater than 32 miles per gallon.
Reject the claim that the mean is equal to 32 miles per gallon when it is actually less than 32 miles per gallon.
Reject the claim that the mean is equal to 32 miles per ...
STATUse the information below to answer Questions 1 through 4..docxdessiechisomjj4
STAT
Use the information below to answer Questions 1 through 4.
Given a sample size of 36, with sample mean 670.3 and sample standard deviation 114.9, we perform the following hypothesis test.
Null Hypothesis
Alternative Hypothesis
1. What is the test statistic?
2. At a 10% significance level (90% confidence level), what is the critical value in this test? Do we reject the null hypothesis?
3. What are the border values between acceptance and rejection of this hypothesis?
4. What is the power of this test if the assumed true mean were 710 instead of 700?.
Questions 5 through 8 involve rolling of dice.
5. Given a fair, six-sided die, what is the probability of rolling the die twice and getting a “1” each time?
6. What is the probability of getting a “1” on the second roll when you get a “1” on the first roll?
7. The House managed to load the die in such a way that the faces “2” and “4” show up twice as frequently as all other faces. Meanwhile, all the other faces still show up with equal frequency. What is the probability of getting a “1” when rolling this loaded die?
8. Write the probability distribution for this loaded die, showing each outcome and its probability. Also plot a histogram to show the probability distribution.
Use the data in the table to answer Questions 9 through 11.
x
3
1
4
4
5
y
1
-2
3
5
9
9. Determine SSxx, SSxy, and SSyy.
10.
Find the equation of the regression line. What is the predicted value when
11. Is the correlation significant at 1% significance level (99% confidence level)? Why or why not?
Use the data below to answer Questions 12 through 14.
A group of students from three universities were asked to pick their favorite college sport to attend of their choice: The results, in number of students, are listed as follows:
Football
Basketball
Soccer
Maryland
60
70
20
Duke
10
75
15
UCLA
35
65
25
Supposed a student is randomly selected from the group mentioned above.
12. What is the probability that the student is from UCLA or chooses football?
13. What is the probability that the student is from Duke, given that the student chooses basketball?
14. What is the probability that the student is from Maryland and chooses soccer?
Use the information below to answer Questions 15 and 17.
There are 3600 apples in a shipment. The weight of the apples in this shipment is normally distributed. It is found that it a mean weight of 14 ounces with a standard deviation of 2.5 ounces.
15. How many of apples have weights between 13 ounces and 15 ounces?
16. What is the probability that a randomly selected mango weighs less than 12.5 ounces?
17. A quality inspector randomly selected 100 apples from the shipment.
a. What is the probability that the 100 randomly selected apples have a mean weight less than 12.5 ounces?
b. Do you come up with the same result in Question 16? Why or why not?
18. A pharmaceutical company has developed a screening test for a rare disease that afflicted 2% of the population. Un.
Stat 230 Summer 2014 – Final Exam Page 1 .docxdessiechisomjj4
Stat 230 Summer 2014 – Final Exam
Page 1
Please answer all 30 questions. Make sure your answers are as complete as
possible. Show all of your work and reasoning. In particular, when there are
calculations involved, you must show how you come up with your answers
with critical work and/or necessary tables. Answers that come straight from
program software packages will not be accepted.
You must include the Honor Pledge on the title page of your
submitted final exam. Exam submitted without the Honor
Pledge will not be accepted.
Honor Pledge: "I have completed this final examination myself, working independently
and not consulting anyone except the instructor. I have neither given nor received help on this
final examination."
Use the information below to answer Questions 1 through 3.
Given a sample size of 34, with sample mean 660.3 and sample standard deviation 104.9, we
perform the following hypothesis test. Since n>30, this is a Z test.
Null Hypothesis 0 : 700H
Alternative Hypothesis : 700aH
1. What is the test statistic? What is the p-value?
2. At a 5% significance level (95% confidence level), what is the critical value(s) in this
test? Do we reject the null hypothesis?
3. What are the border values of x between acceptance and rejection of this hypothesis?
Stat 230 Summer 2014 – Final Exam
Page 2
Questions 4 through 7 involve rolling of dice.
4. Given a fair, six-sided die, what is the probability of rolling the die twice and getting a
“1” each time?
5. What is the probability of getting a “1” on the second roll when you get a “1” on the first
roll?
6. The House managed to load the die in such a way that the faces “2” and “4” show up
twice as frequently as all other faces. Meanwhile, all the other faces still show up with
equal frequency. What is the probability of getting a “5” when rolling this loaded die?
7. Write the probability distribution for this loaded die, showing each outcome and its
probability.
Use the data in the table to answer Questions 8 through 9.
x 3 1 4 4 5
y 2 -2 5 4 8
8. Determine SSxx, SSxy, and SSyy.
9. Find the equation of the regression line. What is the predicted value when 4?x
Stat 230 Summer 2014 – Final Exam
Page 3
Use the data below to answer Questions 10 through 12.
A group of students from three universities were asked to pick their favorite college sport
to attend of their choice: The results, in number of students, are listed as follows:
Football Basketball Soccer
Maryland 60 70 20
Duke 10 75 15
UCLA 35 65 25
Supposed that a student is randomly selected from the group mentioned above.
10. What is the probability that the student is from UCLA or chooses football?
11. What is the probability that the student is from Duke, given that the student chooses
basketball?
12. What is the probability that the .
1 Review and Practice Exam Questions for Exam 2 Lea.docxmercysuttle
1
Review and Practice Exam Questions for Exam 2
Learning Objectives:
Chapter 17: Thinking about chance
• Explain how random events behave in the short run and in the long run and how random and
haphazard are not the same thing.
• Perform basic probability calculations using die rolls and coin tosses.
• Define probability, and apply the rules for probability.
• Explain whether the law of averages is true.
• Explain how personal probability differs from a scientific or experimental probability.
Chapter 18: Probability models
• Define a probability model. Create a probability model for a particular story’s events.
• Apply the basic rules of probability to a story problem.
• Calculate probabilities using a probability model, including summing up probabilities or
subtracting probabilities from the total.
• Define a sampling distribution.
Chapter 20: The house edge: expected values
• Define expected value, and calculate the expected value when given a probability model.
• Define the law of large numbers, and explain how it is different from the mythical “law of
averages.”
• Explain how casinos and insurance companies stay in business and make money.
Chapter 13: The Normal distribution
• Identify data that is Normally distributed.
• Discuss how the shape/position of the Normal curve changes when the standard deviation
increases/decreases or when the mean increases/decreases.
• Define the standardized value or Z-score. Calculate the Z-score, and use the Z-score to do
comparisons.
• Calculate probabilities and cut-off values using the 68%-95%-99.7% (Empirical) Rule.
• Identify the mean, standard deviation, cut-off value, probability, and Z-score on a Normal curve.
• Use the Normal table to get percentiles (probabilities) for forward problems and to get Z-scores
in order to determine cut-offs for backward problems using both > and < in the inequalities.
• Recognize whether a story is a forward or backward Normal distribution problem, and perform
the appropriate calculations showing correct notation, the initial probability expression, and all
necessary steps.
2
Chapter 21: What is a confidence interval?
• Define statistical inference and explain when statistical inference is used.
• Explain what the confidence interval means and whether the results refer to the population or
the sample.
• Calculate the margin of error and identify the margin of error in a confidence statement.
Explain what type of error is covered in the margin of error.
• Determine whether a story is better described with a proportion or a mean.
• Use appropriate notation for proportions and means, both in the population and the sample.
• Calculate a confidence interval for a proportion and for a mean.
• Describe how increasing/decreasing the sample size or confidence level changes the margin of
error (width of the confidence interval).
• Apply cautions for using confidence inte ...
1. In the construction of decision trees, which of the following s.docxhyacinthshackley2629
1. In the construction of decision trees, which of the following shapes represents a state of nature node? (Points : 1)
square
circle
diamond
triangle
Question 2.2. In the construction of decision trees, which of the following shapes represents a decision node? (Points : 1)
square
circle
diamond
triangle
Question 3.3. A market research study is being conducted to determine if a product modification will be well received by the public. A total of 1,000 consumers are questioned regarding this product.
The table below provides information regarding this sample.
Positive
Reaction
Neutral
Reaction
Negative
Reaction
Male
240
60
100
Female
260
220
120
What is the probability that a randomly selected person would be a female who had a positive reaction? (Points : 1)
0.250
0.260
0.455
0.840
Question 4.4. The probability that a typical tomato seed will germinate is 60%. A seed company has developed a hybrid tomato that they claim has an 85% probability of germination. If a gardener plants the new hybrid tomato in batches of 12, what is the probability that 10 or more seeds will germinate in a batch? (Points : 1)
0.064
0.083
0.264
0.736 <-- Not sure
Question 5.5. Historical data indicates that only 20% of cable customers are willing to switch companies. If a binomial process is assumed, then in a sample of 20 cable customers, what is the probability that no more than 3 customers would be willing to switch their cable? (Points : 1)
0.85
0.15
0.20
0.411
Question 6.6. Lock combinations are made using 3 digits followed by 2 letters. How many different lock combinations can be made if repetition of digits is allowed? (Points : 1)
6
260
6,760
676,000
Question 7.7. In 2012 the stock market took some big swings up and down. One thousand investors were asked how often they tracked their investments. The table below shows their responses. What is the probability that an investor tracks the portfolio weekly?
How often tracked?
Response
Daily
235
Weekly
278
Monthly
292
Few times a year
136
Do not track
59
(Points : 1)
0.235
0.278
0.513
0.722
Question 8.8. In hypothesis testing, the null and the alternative hypotheses are ________. (Points : 1)
not mutually exclusive
mutually exclusive
always false
always true
Question 9.9. If we fail to reject the null hypothesis, ________. (Points : 1)
we have found evidence to support the alternative hypothesis
the null hypothesis is proved to be true
we have only failed to find evidence to support the alternative hypothesis
the hypothesis test is inconclusive
Question 10.10. The probability of a Type I error can be specified by the investigator. The probability of a Type II error is ________. (Points : 1)
one minus the probability of Type I erro.
STAT 200 Massive Success / snaptutorial.comReynolds79
1. (10 points) Once upon a time, I had a fast-food lunch with a mathematician colleague. I
noticed a very strange behavior in him. I called it the Au-Burger Syndrome since it was
discovered by me at a burger joint. Based on my unscientific survey, it is a rare but real malady
inflicting 2% of mathematicians worldwide. Yours truly has recently discovered a screening test
This quiz consists of 20 questions most appear to be similar but now.docxamit657720
This quiz consists of 20 questions most appear to be similar but now really. I ned someone who is familiar with bio-statistics and math. The due date is tomorrow 4 pm PST. or (16:00). Please if you accept handshake you must do the work not get from previous papers or tell me you had emergency an hour before its due. This is important to me.
attached is the file just in case you need it in word format. Thank you in advance.
1.
The standard deviation of the diameter at breast height, or DBH, of the slash pine tree is less than one inch. Identify the Type I error. (Points : 1)
[removed] Fail to support the claim σ < 1 when σ < 1 is true.
[removed] Support the claim μ < 1 when μ = 1 is true.
[removed]
Support the claim σ < 1 when σ = 1 is true.
[removed] Fail to support the claim μ < 1 when μ < 1 is true.
1a. The EPA claims that fluoride in children's drinking water should be at a mean level of less than 1.2 ppm, or parts per million, to reduce the number of dental cavities. Identify the Type I error. (Points : 1)
[removed] Fail to support the claim σ < 1.2 when σ < 1.2 is true.
[removed] Support the claim μ < 1.2 when μ = 1.2 is true.
[removed] Support the claim σ < 1.2 when σ = 1.2 is true.
[removed] Fail to support the claim μ < 1.2 when μ < 1.2 is true.
2.
Biologists are investigating if their efforts to prevent erosion on the bank of a stream have been statistically significant. For this stream, a narrow channel width is a good indicator that erosion is not occurring. Test the claim that the mean width of ten locations within the stream is greater than 3.7 meters. Assume that a simple random sample has been taken, the population standard deviation is not known, and the population is normally distributed. Use the following sample data:
3.3 3.3 3.5 4.9 3.5 4.1 4.1 5 7.3 6.2
What is the P-value associated with your test statistic? Report your answer with three decimals, e.g., .987 (Points : 1)
2a. Medical researchers studying two therapies for treating patients infected with Hepatitis C found the following data. Assume a .05 significance level for testing the claim that the proportions are not equal. Also, assume the two simple random samples are independent and that the conditions np ≥ 5 and nq ≥ 5 are satisfied.
Therapy 1
Therapy 2
Number of patients
39
47
Eliminated Hepatitis
20
13
C infection
Construct a 95% confidence interval estimate of the odds ratio of the odds for having Hepatitis C after Therapy 1 to the odds for having Hepatitis C after Therapy 2. Give your answer with two decimals, e.g., (12.34,56.78) (Points : 0.5)
[removed]
3. Researchers studying sleep loss followed the length of sleep, in hours, of 10 individuals with insomnia before and after cognitive behavioral therapy (CBT). Assume a .05 significance level to test the claim that there is a difference between the length of sleep of individuals before and after CBT. Also, assume the data consist of matched pair ...
Question 1 1. Assume that the data has a normal distribution .docxIRESH3
Question 1
1.
Assume that the data has a normal distribution and the number of observations is greater than fifty. Find the critical z value used to test a null hypothesis. = 0.09 for a right-tailed test.
Answer
±1.96
1.34
±1.34
1.96
5 points
Question 2
1.
Find the value of the test statistic z using z = The claim is that the proportion of drowning deaths of children attributable to beaches is more than 0.25, and the sample statistics include n = 681 drowning deaths of children with 30% of them attributable to beaches.
Answer
3.01
2.85
-2.85
-3.01
5 points
Question 3
1.
Use the given information to find the P-value. Also, use a 0.05 significance level and state the conclusion about the null hypothesis (reject the null hypothesis or fail to reject the null hypothesis). The test statistic in a left-tailed test is z = -1.83.
Answer
0.0672; reject the null hypothesis
0.0336; reject the null hypothesis
0.9664; fail to reject the null hypothesis
0.0672; fail to reject the null hypothesis
5 points
Question 4
1.
Use the given information to find the P-value. Also, use a 0.05 significance level and state the conclusion about the null hypothesis (reject the null hypothesis or fail to reject the null hypothesis). With H1: p < 3/5, the test statistic is z = -1.68.
Answer
0.093; fail to reject the null hypothesis
0.0465; fail to reject the null hypothesis
0.0465; reject the null hypothesis
0.9535; fail to reject the null hypothesis
5 points
Question 5
1.
Formulate the indicated conclusion in nontechnical terms. Be sure to address the original claim. The owner of a football team claims that the average attendance at games is over 694, and he is therefore justified in moving the team to a city with a larger stadium. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is failure to reject the null hypothesis, state the conclusion in nontechnical terms.
Answer
There is not sufficient evidence to support the claim that the mean attendance is less than 694.
There is sufficient evidence to support the claim that the mean attendance is greater than 694.
There is sufficient evidence to support the claim that the mean attendance is less than 694.
There is not sufficient evidence to support the claim that the mean attendance is greater than 694.
5 points
Question 6
1.
Assume that a hypothesis test of the given claim will be conducted. Identify the type I or type II error for the test. A consumer advocacy group claims that the mean mileage for the Carter Motor Company's new sedan is less than 32 miles per gallon. Identify the type I error for the test.
Answer
Fail to reject the claim that the mean is equal to 32 miles per gallon when it is actually greater than 32 miles per gallon.
Reject the claim that the mean is equal to 32 miles per gallon when it is actually less than 32 miles per gallon.
Reject the claim that the mean is equal to 32 miles per ...
CHAP 13 OIS 3440-STATQuestionA chi-square test for goodness.pdfseasonsnu
CHAP 13
OIS 3440-STAT
Question
A chi-square test for goodness-of-fit is used to test whether or not there are any preferences
among 3 brands of peas. If the study uses a sample of n = 60 subjects, then the expected
frequency for each category would be:
60
20
33
30
Question,
When the variables of interest are both categorical and the decision maker is interested in
determining whether a relationship exists between the two, a statistical technique known as
contingency analysis is useful.
True
False
Question
A survey was recently conducted in which males and females were asked whether they owned a
laptop personal computer. The following data were observed:
Males
Females
Have Laptop
120
70
No Laptop
50
60
Given this information, if an alpha level of .05 is used, the test statistic for determining whether
having a laptop is independent of gender is approximately 14.23.
True
False
Question
In conducting a test of independence for a contingency table that has 4 rows and 3 columns, the
number of degrees of freedom is 11.
True
False
Question
If a contingency analysis test is performed with a 4 × 6 design, and if alpha = .05, the critical
value from the chi-square distribution is 24.9958
True
False
Question
A walk-in medical clinic believes that arrivals are uniformly distributed over weekdays (Monday
through Friday). It has collected the following data based on a random sample of 100 days.
Frequency
Mon
25
Tue
22
Wed
19
Thu
18
Fri
16
Total
100
Assuming that a goodness-of-fit test is to be conducted using a 0.10 level of significance, the
critical value is:
7.7794
9.4877
11.0705
9.2363
Question.
A walk-in medical clinic believes that arrivals are uniformly distributed over weekdays (Monday
through Friday). It has collected the following data based on a random sample of 100 days.
Frequency
Mon
25
Tue
22
Wed
19
Thu
18
Fri
16
Total
100
To conduct a goodness-of-fit test, what is the expected value for Friday?
20
25
100
16
Question
A walk-in medical clinic believes that arrivals are uniformly distributed over weekdays (Monday
through Friday). It has collected the following data based on a random sample of 100 days.
Frequency
Mon
25
Tue
22
Wed
19
Thu
18
Fri
16
Total
100
Based on these data, conduct a goodness-of-fit test using a 0.10 level of significance. Which
conclusion is correct?
Arrivals are uniformly distributed over the weekday because (test statistic) > (critical value).
Arrives are uniformly distributed over the weekday because (test statistic) < (critical value).
Arrivals are not uniformly distributed over the weekday because (test statistic) > (critical value).
Arrivals are not uniformly distributed over the weekday because (test statistic) > (critical value).
Question
We are interested in determining whether the opinions of the individuals on gun control (as to
Yes, No, and No Opinion) are uniformly distributed.
A sample of 150 was taken and the following data were obtained.
Do you support gun control
Number of Responses
Yes
40
No
60
No Opinion
.
A student who didnt study for the upcoming quiz decides to wing .docxransayo
A student who didn't study for the upcoming quiz decides to 'wing it' and just guess on the 10 question quiz. Every question is True/False. What is the probability that his grade on the quiz will be at most 50%?
Please express your answer as a percent rounded to the hundredths decimal place. Include the '%' symbol.
A student who didn't study for the upcoming quiz decides to 'wing it' and just guess on the 10 question quiz. Every question has 5 choices (a - e). What is the probability that his grade on the quiz will be at most 50%?
Please express your answer as a percent rounded to the hundredths decimal place. Include the '%' symbol.
In a certain college, 33% of the physics majors belong to ethnic minorities. If 10 students are selected at random from the physics majors, that is the probability that no more than 6 belong to an ethnic minority?
Round your answer to four decimal places.
Find the mean , µ, for a bionomial distribution where n = 50 and p = .175.
Round the answer to the hundredths decimal place.
Find the mean , µ, for a bionomial distribution where n = 125 and p = 0.47
Round the answer to the hundredths decimal place.
Find the standard deviation for a bionomial distribution where n = 125 and p = 0.47.
Round the answer to the hundredths decimal place.
Find the standard deviation for a bionomial distribution where n = 50 and p = .175.
Round the answer to the hundredths decimal place.
A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a standard deviation of 50. If an applicant is randomly selected, find the probability of a rating that is between 200 and 275.
Your answer should be a decimal rounded to the fourth decimal place.
A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a standard deviation of 50. If an applicant is randomly selected, find the probability of a rating that is between 170 and 220.
Your answer should be a decimal rounded to the fourth decimal place.
The volumes of soda in quart soda bottles are normally distributed with a mean of 32.3 oz and a standard deviation of 1.2 oz. What is the probability that the volume of soda in a randomly selected bottle will be less than 32 oz?
Your answer should be a decimal rounded to the fourth decimal place.
The amount of rainfall in January in a certain city is normally distributed with a mean of 4.6 inches and a standard deviation of 0.3 inches. Find the value of the first quartile Q1.
Round your answer to the nearest tenth.
In one region, the September energy consumption levels for single-family homes are found to be normally distributed with a mean of 1050 kWh and a standard deviation of 218 kWh. Find P45, which is the consumption level separating the bottom 45% from the top 55%.
Round your answer to the nearest tenth.
Scores on a test have a mean of 73 and Q3 is 83. The scores have a distribution that is approximatel.
Qnt 351 final exam new april 2016 versionAdams-ASs
QNT 351 FINAL EXAM NEW APRIL 2016 VERSION
Buy Solutions: http://hwsoloutions.com/downloads/qnt-351-final-exam-new-april-2016-version/
QNT 351 FINAL EXAM
NEW APRIL 2016 VERSION
A time series trend equation for Hammer Hardware is Y’ = 5.6 + 1.2t, where sales are in millions of dollars and t increases by one unit for each year. If the value of sales in the base year of 2016 is $5.6 million, what would be the estimated sales amount for 2018?
$8 million
$6.8 million
Unable to determine from given information
$5.6 million
A weight-loss company wants to statistically prove that its methods work. They randomly selected 10 clients who had been on the weight loss program for between 55 and 65 days. They looked at their beginning weights and their current weight. The statistical test they should utilize is:
t test for difference in paired samples
z test for two population proportions
Qnt 351 final exam august 2017 new versionAdams-ASs
QNT 351 FINAL EXAM AUGUST 2017 NEW VERSION
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QNT 351 FINAL EXAM AUGUST 2017 NEW VERSION
QNT 351 FINAL EXAM AUGUST 2017 NEW VERSION
The mean amount spent by a family of four on food is $500 per month with a standard deviation of $75. Assuming that the food costs are normally distributed, what is the probability that a family spends less than $410 per month?
• 0.1151
• 0.0362
• 0.8750
• 0.2158
As the size of the sample increases, what happens to the shape of the distribution of sample means?
• It cannot be predicted in advance.
• It is negatively skewed.
• It approaches a normal distribution.
• It is positively skewed.
What is the following table called?
STAT 200 Introduction to Statistics Page 1 of91. True or .docxwhitneyleman54422
STAT 200: Introduction to Statistics Page 1 of9
1. True or False. Show work.
(a) If A and B are disjoint, peA) = 0.4 and PCB) = 0.5, then peA OR B) = 0.9.
(b) If the variance for a data set is zero, then all the observations in this data set must be
identicaL
(c) There may be more than one mode in a data set.
(d) A 90% confidence interval is wider than a 95% confidence interval of the same parameter.
(e) In a right-tailed test, the value of the test statistic is 2. The test statistic follows a
distribution with the distribution curve shown below. If we know the shaded area is 0.03,
then we have sufficient evidence to reject the null hypothesis at 0.05 level of significance.
2. Choose the best answer. Show work.
(a) UMUC STAT Club wanted to estimate the study hours of STAT 200 students. One STAT 200
section was randomly selected and all students from that section were asked to fill out the
questionnaire. This type of sampling is called:
(i) cluster
(ii) convenience
(iii) systematic
(iv) stratified
STAT 200: Introduction to Statistics Page 2 of9
(b) A study was conducted at a local college to analyze the trend of average GPA of all students
graduated from the college. According to the Registrar, the average GPA for students with
economics major from the class of2016 is 3.5. The value 3.5 is a
(i) statistic
(ii) parameter
(iii) cannot be determined
STAT 200: Introductionto Statistics Page 3 of9
(c) The hotel ratings are usually on a scale from 0 star to 5 stars. The level of this measurement is
(i) interval
(ii) nominal
(iii) ordinal
(iv) ratio
(d) 500 students took a chemistry test. You sampled 100 students to estimate the average score and
the standard deviation. How many degrees of freedom were there in the estimation of the
standard deviation?
(i) 99
(ii) 100
(iii) 499
(iv) 500
(e) You choose an alpha level of 0.01 and then analyze your data. What is the probability that you will
make a Type Ierror given that the null hypothesis is true?
(i) 0.025
(ii) 0.05
(iii) 0.01
(iv) 0.10
STAT 200: Introduction to Statistics Page 4 of9
3. A random sample of 500 students was chosen from UMUC STAT 200 classes. The frequency
distribution below shows the distribution for study time each week (in hours). Show work.
Study Time (in hours) Frequency Relative Frequency
0.0-5.0 40
5.1-10.0 100
10.1-15.0 0.25
15.1- 20.0 120
20.1- 25.0
Total 500
(a) Complete the frequency table with frequency and relative frequency. Express the relative
frequency to two decimal places.
(b) What percentage of the study times was not more than 15 hours?
(c) In what class interval must the median lie? 5.1-10.0, 10.1 -15.0, 15.1- 20.0, or 20.1 - 25.0?
Why?
STAT 200: Introduction to Statistics Page 5 of9
4. The five-number summary below shows the grade distribution of a STAT 200 quiz for a
sample of 500 students.
20 45 65 75 tOO
o /0 20 30 40 50 60 70 80 90 100
Answer each question based on the given information, and explain your answer in each
ca.
My name is Moses Alex. I am associated with statisticshomeworkhelper.com for the past 15 years and have been assisting the statistics students with their homework.
I have a Masters in Statistics from Leeds Trinity University.
1. (6 points) A soda company want to stimulate sales in this econo.docxSONU61709
1. (6 points) A soda company want to stimulate sales in this economic climate by giving
customers a chance to win a small prize for ever bottle of soda they buy. There is a 20%
chance that a customer will find a winning icon at the bottom of the cap upon opening up a
bottle of soda. The customer can then redeem that bottle cap for a small prize. Now, if yours
truly buys a 6-pack of soda, what is the probability that I will win something, i.e., at least
winning a single small prize?
2. (6 points) A department store manager has decided that dress code is necessary for team
coherence. Team members are required to wear either blue shirts or red shirts. There are 9
men and 6 women in the team. On a particular day, 4 men wore blue shirts and 5 other wore
red shirts, whereas 3 women wore blue shirts and 3 others wore red shirt. Apply the Addition
Rule to determine the probability of finding men or blue shirts in the team.
3. (6 points) A consulting company wants to estimate the proportion of Americans who own
their house. What sample size should be obtained if the estimate is expected to be within 0.04
with 95% confidence if
a. they use an estimate of 0.675 from the Census Bureau?
P=0.675
1-p=0.325
E=0.04
Sample size is 527
b. they do not use any prior estimates? But in solving this problem, you are actually using a
form of "prior" estimate in the formula used. In this case, what is your "actual" prior
Estimate? Please explain.
Actual estimate sis 0.675 which is the proportion of American who own their house.
4. (6 points) Most of us love peaches, but hate buying those that are picked too
early. Unfortunately, by waiting until the peaches are almost ripe to pick carries a risk of
having 30% of the picked rot upon arrival at the packing facility. If the packing process is all
done by machines without human inspection to pick out any rotten peaches, what would be
the probability of having at most 4 rotten peaches packed in a box of 12?
5. (6 points) There is a screening test for a rare disease that affects 1.5% of the population.
Unfortunately, the reliability of this screening test is only 70%. What it means is that it gives
a false positive result 30% of the time. Fortunately, there is no false negative. Suppose if
you are tested positive for this rare disease, what is the probability that you are actually
inflicted by this rare disease? (Hint: Bayes’ Theorem)
Percentage of population affected = 1.5%
Reliability = 70%
Percentage of false positive result = 30%
Note that there is no false negative.
Let A1, A2, ... , An be a set of mutually exclusive events that together form the sample space S.
Let B be any event from the same sample space, such that P(B) > 0. Then,
Plug in the given values:
6. (6 points) Assume that you toss a fair six-faced die two times.
(a) (2 pt) How many possible outcomes are in the sample space? Explain your answer.
First time number of outcome =6,
Second time number of outcome =6
Total outcome = 6*6 ...
STAT 200 Introduction to Statistics Final Examination, Sp.docxwhitneyleman54422
STAT 200: Introduction to Statistics Final Examination, Spring 2016 OL4 Page 1 of 7
STAT 200
OL4/US2 Sections
Final Exam
Spring 2016
The final exam will be posted at 12:01 am on May 6, and it is due
at 11:59 pm on May 8, 2016. Eastern Time is our reference time.
This is an open-book exam. You may refer to your text and other course materials
as you work on the exam, and you may use a calculator. You must complete the
exam individually. Neither collaboration nor consultation with others is allowed.
It is a violation of the UMUC Academic Dishonesty and Plagiarism policy to use
unauthorized materials or work from others.
Answer all 20 questions. Make sure your answers are as complete as possible.
Show all of your work and reasoning. In particular, when there are calculations
involved, you must show how you come up with your answers with critical work
and/or necessary tables. Answers that come straight from calculators, programs
or software packages will not be accepted. If you need to use software (for
example, Excel) and /or online or hand-held calculators to aid in your calculation,
you must cite the sources and explain how you get the results.
Record your answers and work on the separate answer sheet provided.
This exam has 200 total points; 10 points for each question.
You must include the Honor Pledge on the title page of your submitted final exam.
Exams submitted without the Honor Pledge will not be accepted.
STAT 200: Introduction to Statistics Final Examination, Spring 2016 OL4 Page 2 of 7
1. True or False. Justify for full credit.
(a) If P(A) = 0.4 , P(B) = 0.5, and A and B are disjoint, then P(A AND B) = 0.2.
(b) If all the observations in a data set are identical, then the variance for this data set is 0.
(c) The mean is always equal to the median for a normal distribution.
(d) It’s easier to reject the null hypothesis at significance level of 0.01 than at significance
level of 0.05.
(e) In a two-tailed test, the value of the test statistic is 2. If we know the test statistic follows a
Student’s t-distribution with P(T >2) = 0.03, then we have sufficient evidence to reject the
null hypothesis at 0.05 level of significance.
2. Identify which of these types of sampling is used: cluster, convenience, simple random,
systematic, or stratified. Justify for full credit.
(a) The quality control department of a semiconductor manufacturing company tests every 100
th
product from the assembly line.
(b) UMUC STAT Club wanted to estimate the study hours of STAT 200 students. Two STAT 200
sections were randomly selected and all students from these two sections were asked to fill out
the questionnaire.
(c) A STAT 200 student is interested in the number of credit cards owned by college students. She
surveyed all of her classmates to collect sample data.
(d) In a career readiness research, 1.
InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docxdirkrplav
InstructionDue Date: 6 pm on October 28 (Wed)
Part IProbability and Sampling Distributions1.Thinking about probability statements. Probability is measure of how likely an event is to occur. Match one of probabilities that follow with each statement of likelihood given (The probability is usually a more exact measure of likelihood than is the verbal statement.)Answer0 0.01 0.3 0.6 0.99 1(a) This event is impossible. It can never occur.(b) This event is certain. It will occur on every trial.(c) This event is very unlikely, but it will occur once in a while in a long sequence of trials.(d) This event will occur more often that not.2. Spill or Spell? Spell-checking software catches "nonword errors" that result in a string of letters that is not a word, as when "the" is typed as "the." When undergraduates are asked to write a 250-word essay (without spell-checking), the number X of nonword errors has the following distribution:Value of X01234Probability0.10.20.30.30.1(a) Check that this distribution satisfies the two requirements for a legitimate assignment of probabilities to individual outcomes.(b) Write the event "at least one nonword error" in term of X (for example, P(X >3)). What is the probability of this event?(c) Describe the event X ≤ 2 in words. What is its probability? 3. Discrete or continuous? For each exercise listed below, decide whether the random variable described is discrete or continuous and explains the sample space.(a) Choose a student in your class at random. Ask how much time that student spent studying during the past 24 hours.(b) In a test of a new package design, you drop a carton of a dozen eggs from a height of 1 foot and count the number of broken eggs.(c) A nutrition researcher feeds a new diet to a young male white rat. The response variable is the weight (in grams) that the rat gains in 8 weeks.4. Tossing Coins(a) The distribution of the count X of heads in a single coin toss will be as follows. Find the mean number of heads and the variance for a single coin toss.Number of Heads (Xi)01mean:Probability (Pi)0.50.5variance:(b) The distribution of the count X of heads in four tosses of a balanced coin was as follows but some missing probabilities. Fill in the blanks and then find the mean number of heads and the variance for the distribution with assumption that the tosses are independent of each other.Number of Heads (Xi)01234mean:Probability (Pi)0.06250.0625variance:(c) Show that the two results of the means (i.e. single toss and four tosses) are related by the addition rule for means. (d) Show that the two results of the variances (i.e. single toss and four tosses) are related by the addition rule for variances (note: It was assumed that the tosses are independent of each other). 5. Generating a sampling distribution. Let's illustrate the idea of a sampling distribution in the case of a very small sample from a very small .
Statistica Sinica 16(2006), 847-860
PSEUDO-R
2
IN LOGISTIC REGRESSION MODEL
Bo Hu, Jun Shao and Mari Palta
University of Wisconsin-Madison
Abstract: Logistic regression with binary and multinomial outcomes is commonly
used, and researchers have long searched for an interpretable measure of the strength
of a particular logistic model. This article describes the large sample properties
of some pseudo-R2 statistics for assessing the predictive strength of the logistic
regression model. We present theoretical results regarding the convergence and
asymptotic normality of pseudo-R2s. Simulation results and an example are also
presented. The behavior of the pseudo-R2s is investigated numerically across a
range of conditions to aid in practical interpretation.
Key words and phrases: Entropy, logistic regression, pseudo-R2
1. Introduction
Logistic regression for binary and multinomial outcomes is commonly used
in health research. Researchers often desire a statistic ranging from zero to one
to summarize the overall strength of a given model, with zero indicating a model
with no predictive value and one indicating a perfect fit. The coefficient of deter-
mination R2 for the linear regression model serves as a standard for such measures
(Draper and Smith (1998)). Statisticians have searched for a corresponding in-
dicator for models with binary/multinomial outcome. Many different R2 statis-
tics have been proposed in the past three decades (see, e.g., McFadden (1973),
McKelvey and Zavoina (1975), Maddala (1983), Agresti (1986), Nagelkerke
(1991), Cox and Wermuch (1992), Ash and Shwartz (1999), Zheng and Agresti
(2000)). These statistics, which are usually identical to the standard R2 when
applied to a linear model, generally fall into categories of entropy-based and
variance-based (Mittlböck and Schemper (1996)). Entropy-based R2 statistics,
also called pseudo-R2s, have gained some popularity in the social sciences (Mad-
dala (1983), Laitila (1993) and Long (1997)). McKelvey and Zavoina (1975)
proposed a pseudo-R2 based on a latent model structure, where the binary/
multinomial outcome results from discretizing a continuous latent variable that
is related to the predictors through a linear model. Their pseudo-R2 is defined
as the proportion of the variance of the latent variable that is explained by the
848 BO HU, JUN SHAO AND MARI PALTA
covariate. McFadden (1973) suggested an alternative, known as “likelihood-
ratio index”, comparing a model without any predictor to a model including all
predictors. It is defined as one minus the ratio of the log likelihood with inter-
cepts only, and the log likelihood with all predictors. If the slope parameters
are all 0, McFadden’s R2 is 0, but it is never 1. Maddala (1983) developed
another pseudo-R2 that can be applied to any model estimated by the maximum
likelihood method. This popular and widely used measure is expressed as
R2M = 1 −
(
L(θ̃)
L(θ̂)
)
2
n
, (1)
.
Stations yourself somewhere (library, cafeteria, etc.) and observe.docxrafaelaj1
Stations yourself somewhere (library, cafeteria, etc.) and observe the nonverbal communication that occurs.
What do people say with their bodies?
What messages are implicit in vocal expressions, clothes, make-up and so on?
Take notes on five of the most eloquent messages sent nonverbally.
*one page.
*Read the instructions then write about 5 difeerent people
.
More Related Content
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CHAP 13 OIS 3440-STATQuestionA chi-square test for goodness.pdfseasonsnu
CHAP 13
OIS 3440-STAT
Question
A chi-square test for goodness-of-fit is used to test whether or not there are any preferences
among 3 brands of peas. If the study uses a sample of n = 60 subjects, then the expected
frequency for each category would be:
60
20
33
30
Question,
When the variables of interest are both categorical and the decision maker is interested in
determining whether a relationship exists between the two, a statistical technique known as
contingency analysis is useful.
True
False
Question
A survey was recently conducted in which males and females were asked whether they owned a
laptop personal computer. The following data were observed:
Males
Females
Have Laptop
120
70
No Laptop
50
60
Given this information, if an alpha level of .05 is used, the test statistic for determining whether
having a laptop is independent of gender is approximately 14.23.
True
False
Question
In conducting a test of independence for a contingency table that has 4 rows and 3 columns, the
number of degrees of freedom is 11.
True
False
Question
If a contingency analysis test is performed with a 4 × 6 design, and if alpha = .05, the critical
value from the chi-square distribution is 24.9958
True
False
Question
A walk-in medical clinic believes that arrivals are uniformly distributed over weekdays (Monday
through Friday). It has collected the following data based on a random sample of 100 days.
Frequency
Mon
25
Tue
22
Wed
19
Thu
18
Fri
16
Total
100
Assuming that a goodness-of-fit test is to be conducted using a 0.10 level of significance, the
critical value is:
7.7794
9.4877
11.0705
9.2363
Question.
A walk-in medical clinic believes that arrivals are uniformly distributed over weekdays (Monday
through Friday). It has collected the following data based on a random sample of 100 days.
Frequency
Mon
25
Tue
22
Wed
19
Thu
18
Fri
16
Total
100
To conduct a goodness-of-fit test, what is the expected value for Friday?
20
25
100
16
Question
A walk-in medical clinic believes that arrivals are uniformly distributed over weekdays (Monday
through Friday). It has collected the following data based on a random sample of 100 days.
Frequency
Mon
25
Tue
22
Wed
19
Thu
18
Fri
16
Total
100
Based on these data, conduct a goodness-of-fit test using a 0.10 level of significance. Which
conclusion is correct?
Arrivals are uniformly distributed over the weekday because (test statistic) > (critical value).
Arrives are uniformly distributed over the weekday because (test statistic) < (critical value).
Arrivals are not uniformly distributed over the weekday because (test statistic) > (critical value).
Arrivals are not uniformly distributed over the weekday because (test statistic) > (critical value).
Question
We are interested in determining whether the opinions of the individuals on gun control (as to
Yes, No, and No Opinion) are uniformly distributed.
A sample of 150 was taken and the following data were obtained.
Do you support gun control
Number of Responses
Yes
40
No
60
No Opinion
.
A student who didnt study for the upcoming quiz decides to wing .docxransayo
A student who didn't study for the upcoming quiz decides to 'wing it' and just guess on the 10 question quiz. Every question is True/False. What is the probability that his grade on the quiz will be at most 50%?
Please express your answer as a percent rounded to the hundredths decimal place. Include the '%' symbol.
A student who didn't study for the upcoming quiz decides to 'wing it' and just guess on the 10 question quiz. Every question has 5 choices (a - e). What is the probability that his grade on the quiz will be at most 50%?
Please express your answer as a percent rounded to the hundredths decimal place. Include the '%' symbol.
In a certain college, 33% of the physics majors belong to ethnic minorities. If 10 students are selected at random from the physics majors, that is the probability that no more than 6 belong to an ethnic minority?
Round your answer to four decimal places.
Find the mean , µ, for a bionomial distribution where n = 50 and p = .175.
Round the answer to the hundredths decimal place.
Find the mean , µ, for a bionomial distribution where n = 125 and p = 0.47
Round the answer to the hundredths decimal place.
Find the standard deviation for a bionomial distribution where n = 125 and p = 0.47.
Round the answer to the hundredths decimal place.
Find the standard deviation for a bionomial distribution where n = 50 and p = .175.
Round the answer to the hundredths decimal place.
A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a standard deviation of 50. If an applicant is randomly selected, find the probability of a rating that is between 200 and 275.
Your answer should be a decimal rounded to the fourth decimal place.
A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a standard deviation of 50. If an applicant is randomly selected, find the probability of a rating that is between 170 and 220.
Your answer should be a decimal rounded to the fourth decimal place.
The volumes of soda in quart soda bottles are normally distributed with a mean of 32.3 oz and a standard deviation of 1.2 oz. What is the probability that the volume of soda in a randomly selected bottle will be less than 32 oz?
Your answer should be a decimal rounded to the fourth decimal place.
The amount of rainfall in January in a certain city is normally distributed with a mean of 4.6 inches and a standard deviation of 0.3 inches. Find the value of the first quartile Q1.
Round your answer to the nearest tenth.
In one region, the September energy consumption levels for single-family homes are found to be normally distributed with a mean of 1050 kWh and a standard deviation of 218 kWh. Find P45, which is the consumption level separating the bottom 45% from the top 55%.
Round your answer to the nearest tenth.
Scores on a test have a mean of 73 and Q3 is 83. The scores have a distribution that is approximatel.
Qnt 351 final exam new april 2016 versionAdams-ASs
QNT 351 FINAL EXAM NEW APRIL 2016 VERSION
Buy Solutions: http://hwsoloutions.com/downloads/qnt-351-final-exam-new-april-2016-version/
QNT 351 FINAL EXAM
NEW APRIL 2016 VERSION
A time series trend equation for Hammer Hardware is Y’ = 5.6 + 1.2t, where sales are in millions of dollars and t increases by one unit for each year. If the value of sales in the base year of 2016 is $5.6 million, what would be the estimated sales amount for 2018?
$8 million
$6.8 million
Unable to determine from given information
$5.6 million
A weight-loss company wants to statistically prove that its methods work. They randomly selected 10 clients who had been on the weight loss program for between 55 and 65 days. They looked at their beginning weights and their current weight. The statistical test they should utilize is:
t test for difference in paired samples
z test for two population proportions
Qnt 351 final exam august 2017 new versionAdams-ASs
QNT 351 FINAL EXAM AUGUST 2017 NEW VERSION
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QNT 351 FINAL EXAM AUGUST 2017 NEW VERSION
QNT 351 FINAL EXAM AUGUST 2017 NEW VERSION
The mean amount spent by a family of four on food is $500 per month with a standard deviation of $75. Assuming that the food costs are normally distributed, what is the probability that a family spends less than $410 per month?
• 0.1151
• 0.0362
• 0.8750
• 0.2158
As the size of the sample increases, what happens to the shape of the distribution of sample means?
• It cannot be predicted in advance.
• It is negatively skewed.
• It approaches a normal distribution.
• It is positively skewed.
What is the following table called?
STAT 200 Introduction to Statistics Page 1 of91. True or .docxwhitneyleman54422
STAT 200: Introduction to Statistics Page 1 of9
1. True or False. Show work.
(a) If A and B are disjoint, peA) = 0.4 and PCB) = 0.5, then peA OR B) = 0.9.
(b) If the variance for a data set is zero, then all the observations in this data set must be
identicaL
(c) There may be more than one mode in a data set.
(d) A 90% confidence interval is wider than a 95% confidence interval of the same parameter.
(e) In a right-tailed test, the value of the test statistic is 2. The test statistic follows a
distribution with the distribution curve shown below. If we know the shaded area is 0.03,
then we have sufficient evidence to reject the null hypothesis at 0.05 level of significance.
2. Choose the best answer. Show work.
(a) UMUC STAT Club wanted to estimate the study hours of STAT 200 students. One STAT 200
section was randomly selected and all students from that section were asked to fill out the
questionnaire. This type of sampling is called:
(i) cluster
(ii) convenience
(iii) systematic
(iv) stratified
STAT 200: Introduction to Statistics Page 2 of9
(b) A study was conducted at a local college to analyze the trend of average GPA of all students
graduated from the college. According to the Registrar, the average GPA for students with
economics major from the class of2016 is 3.5. The value 3.5 is a
(i) statistic
(ii) parameter
(iii) cannot be determined
STAT 200: Introductionto Statistics Page 3 of9
(c) The hotel ratings are usually on a scale from 0 star to 5 stars. The level of this measurement is
(i) interval
(ii) nominal
(iii) ordinal
(iv) ratio
(d) 500 students took a chemistry test. You sampled 100 students to estimate the average score and
the standard deviation. How many degrees of freedom were there in the estimation of the
standard deviation?
(i) 99
(ii) 100
(iii) 499
(iv) 500
(e) You choose an alpha level of 0.01 and then analyze your data. What is the probability that you will
make a Type Ierror given that the null hypothesis is true?
(i) 0.025
(ii) 0.05
(iii) 0.01
(iv) 0.10
STAT 200: Introduction to Statistics Page 4 of9
3. A random sample of 500 students was chosen from UMUC STAT 200 classes. The frequency
distribution below shows the distribution for study time each week (in hours). Show work.
Study Time (in hours) Frequency Relative Frequency
0.0-5.0 40
5.1-10.0 100
10.1-15.0 0.25
15.1- 20.0 120
20.1- 25.0
Total 500
(a) Complete the frequency table with frequency and relative frequency. Express the relative
frequency to two decimal places.
(b) What percentage of the study times was not more than 15 hours?
(c) In what class interval must the median lie? 5.1-10.0, 10.1 -15.0, 15.1- 20.0, or 20.1 - 25.0?
Why?
STAT 200: Introduction to Statistics Page 5 of9
4. The five-number summary below shows the grade distribution of a STAT 200 quiz for a
sample of 500 students.
20 45 65 75 tOO
o /0 20 30 40 50 60 70 80 90 100
Answer each question based on the given information, and explain your answer in each
ca.
My name is Moses Alex. I am associated with statisticshomeworkhelper.com for the past 15 years and have been assisting the statistics students with their homework.
I have a Masters in Statistics from Leeds Trinity University.
1. (6 points) A soda company want to stimulate sales in this econo.docxSONU61709
1. (6 points) A soda company want to stimulate sales in this economic climate by giving
customers a chance to win a small prize for ever bottle of soda they buy. There is a 20%
chance that a customer will find a winning icon at the bottom of the cap upon opening up a
bottle of soda. The customer can then redeem that bottle cap for a small prize. Now, if yours
truly buys a 6-pack of soda, what is the probability that I will win something, i.e., at least
winning a single small prize?
2. (6 points) A department store manager has decided that dress code is necessary for team
coherence. Team members are required to wear either blue shirts or red shirts. There are 9
men and 6 women in the team. On a particular day, 4 men wore blue shirts and 5 other wore
red shirts, whereas 3 women wore blue shirts and 3 others wore red shirt. Apply the Addition
Rule to determine the probability of finding men or blue shirts in the team.
3. (6 points) A consulting company wants to estimate the proportion of Americans who own
their house. What sample size should be obtained if the estimate is expected to be within 0.04
with 95% confidence if
a. they use an estimate of 0.675 from the Census Bureau?
P=0.675
1-p=0.325
E=0.04
Sample size is 527
b. they do not use any prior estimates? But in solving this problem, you are actually using a
form of "prior" estimate in the formula used. In this case, what is your "actual" prior
Estimate? Please explain.
Actual estimate sis 0.675 which is the proportion of American who own their house.
4. (6 points) Most of us love peaches, but hate buying those that are picked too
early. Unfortunately, by waiting until the peaches are almost ripe to pick carries a risk of
having 30% of the picked rot upon arrival at the packing facility. If the packing process is all
done by machines without human inspection to pick out any rotten peaches, what would be
the probability of having at most 4 rotten peaches packed in a box of 12?
5. (6 points) There is a screening test for a rare disease that affects 1.5% of the population.
Unfortunately, the reliability of this screening test is only 70%. What it means is that it gives
a false positive result 30% of the time. Fortunately, there is no false negative. Suppose if
you are tested positive for this rare disease, what is the probability that you are actually
inflicted by this rare disease? (Hint: Bayes’ Theorem)
Percentage of population affected = 1.5%
Reliability = 70%
Percentage of false positive result = 30%
Note that there is no false negative.
Let A1, A2, ... , An be a set of mutually exclusive events that together form the sample space S.
Let B be any event from the same sample space, such that P(B) > 0. Then,
Plug in the given values:
6. (6 points) Assume that you toss a fair six-faced die two times.
(a) (2 pt) How many possible outcomes are in the sample space? Explain your answer.
First time number of outcome =6,
Second time number of outcome =6
Total outcome = 6*6 ...
STAT 200 Introduction to Statistics Final Examination, Sp.docxwhitneyleman54422
STAT 200: Introduction to Statistics Final Examination, Spring 2016 OL4 Page 1 of 7
STAT 200
OL4/US2 Sections
Final Exam
Spring 2016
The final exam will be posted at 12:01 am on May 6, and it is due
at 11:59 pm on May 8, 2016. Eastern Time is our reference time.
This is an open-book exam. You may refer to your text and other course materials
as you work on the exam, and you may use a calculator. You must complete the
exam individually. Neither collaboration nor consultation with others is allowed.
It is a violation of the UMUC Academic Dishonesty and Plagiarism policy to use
unauthorized materials or work from others.
Answer all 20 questions. Make sure your answers are as complete as possible.
Show all of your work and reasoning. In particular, when there are calculations
involved, you must show how you come up with your answers with critical work
and/or necessary tables. Answers that come straight from calculators, programs
or software packages will not be accepted. If you need to use software (for
example, Excel) and /or online or hand-held calculators to aid in your calculation,
you must cite the sources and explain how you get the results.
Record your answers and work on the separate answer sheet provided.
This exam has 200 total points; 10 points for each question.
You must include the Honor Pledge on the title page of your submitted final exam.
Exams submitted without the Honor Pledge will not be accepted.
STAT 200: Introduction to Statistics Final Examination, Spring 2016 OL4 Page 2 of 7
1. True or False. Justify for full credit.
(a) If P(A) = 0.4 , P(B) = 0.5, and A and B are disjoint, then P(A AND B) = 0.2.
(b) If all the observations in a data set are identical, then the variance for this data set is 0.
(c) The mean is always equal to the median for a normal distribution.
(d) It’s easier to reject the null hypothesis at significance level of 0.01 than at significance
level of 0.05.
(e) In a two-tailed test, the value of the test statistic is 2. If we know the test statistic follows a
Student’s t-distribution with P(T >2) = 0.03, then we have sufficient evidence to reject the
null hypothesis at 0.05 level of significance.
2. Identify which of these types of sampling is used: cluster, convenience, simple random,
systematic, or stratified. Justify for full credit.
(a) The quality control department of a semiconductor manufacturing company tests every 100
th
product from the assembly line.
(b) UMUC STAT Club wanted to estimate the study hours of STAT 200 students. Two STAT 200
sections were randomly selected and all students from these two sections were asked to fill out
the questionnaire.
(c) A STAT 200 student is interested in the number of credit cards owned by college students. She
surveyed all of her classmates to collect sample data.
(d) In a career readiness research, 1.
InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docxdirkrplav
InstructionDue Date: 6 pm on October 28 (Wed)
Part IProbability and Sampling Distributions1.Thinking about probability statements. Probability is measure of how likely an event is to occur. Match one of probabilities that follow with each statement of likelihood given (The probability is usually a more exact measure of likelihood than is the verbal statement.)Answer0 0.01 0.3 0.6 0.99 1(a) This event is impossible. It can never occur.(b) This event is certain. It will occur on every trial.(c) This event is very unlikely, but it will occur once in a while in a long sequence of trials.(d) This event will occur more often that not.2. Spill or Spell? Spell-checking software catches "nonword errors" that result in a string of letters that is not a word, as when "the" is typed as "the." When undergraduates are asked to write a 250-word essay (without spell-checking), the number X of nonword errors has the following distribution:Value of X01234Probability0.10.20.30.30.1(a) Check that this distribution satisfies the two requirements for a legitimate assignment of probabilities to individual outcomes.(b) Write the event "at least one nonword error" in term of X (for example, P(X >3)). What is the probability of this event?(c) Describe the event X ≤ 2 in words. What is its probability? 3. Discrete or continuous? For each exercise listed below, decide whether the random variable described is discrete or continuous and explains the sample space.(a) Choose a student in your class at random. Ask how much time that student spent studying during the past 24 hours.(b) In a test of a new package design, you drop a carton of a dozen eggs from a height of 1 foot and count the number of broken eggs.(c) A nutrition researcher feeds a new diet to a young male white rat. The response variable is the weight (in grams) that the rat gains in 8 weeks.4. Tossing Coins(a) The distribution of the count X of heads in a single coin toss will be as follows. Find the mean number of heads and the variance for a single coin toss.Number of Heads (Xi)01mean:Probability (Pi)0.50.5variance:(b) The distribution of the count X of heads in four tosses of a balanced coin was as follows but some missing probabilities. Fill in the blanks and then find the mean number of heads and the variance for the distribution with assumption that the tosses are independent of each other.Number of Heads (Xi)01234mean:Probability (Pi)0.06250.0625variance:(c) Show that the two results of the means (i.e. single toss and four tosses) are related by the addition rule for means. (d) Show that the two results of the variances (i.e. single toss and four tosses) are related by the addition rule for variances (note: It was assumed that the tosses are independent of each other). 5. Generating a sampling distribution. Let's illustrate the idea of a sampling distribution in the case of a very small sample from a very small .
Similar to STATUse the information below to answer Questions 1 through 4..docx (20)
Statistica Sinica 16(2006), 847-860
PSEUDO-R
2
IN LOGISTIC REGRESSION MODEL
Bo Hu, Jun Shao and Mari Palta
University of Wisconsin-Madison
Abstract: Logistic regression with binary and multinomial outcomes is commonly
used, and researchers have long searched for an interpretable measure of the strength
of a particular logistic model. This article describes the large sample properties
of some pseudo-R2 statistics for assessing the predictive strength of the logistic
regression model. We present theoretical results regarding the convergence and
asymptotic normality of pseudo-R2s. Simulation results and an example are also
presented. The behavior of the pseudo-R2s is investigated numerically across a
range of conditions to aid in practical interpretation.
Key words and phrases: Entropy, logistic regression, pseudo-R2
1. Introduction
Logistic regression for binary and multinomial outcomes is commonly used
in health research. Researchers often desire a statistic ranging from zero to one
to summarize the overall strength of a given model, with zero indicating a model
with no predictive value and one indicating a perfect fit. The coefficient of deter-
mination R2 for the linear regression model serves as a standard for such measures
(Draper and Smith (1998)). Statisticians have searched for a corresponding in-
dicator for models with binary/multinomial outcome. Many different R2 statis-
tics have been proposed in the past three decades (see, e.g., McFadden (1973),
McKelvey and Zavoina (1975), Maddala (1983), Agresti (1986), Nagelkerke
(1991), Cox and Wermuch (1992), Ash and Shwartz (1999), Zheng and Agresti
(2000)). These statistics, which are usually identical to the standard R2 when
applied to a linear model, generally fall into categories of entropy-based and
variance-based (Mittlböck and Schemper (1996)). Entropy-based R2 statistics,
also called pseudo-R2s, have gained some popularity in the social sciences (Mad-
dala (1983), Laitila (1993) and Long (1997)). McKelvey and Zavoina (1975)
proposed a pseudo-R2 based on a latent model structure, where the binary/
multinomial outcome results from discretizing a continuous latent variable that
is related to the predictors through a linear model. Their pseudo-R2 is defined
as the proportion of the variance of the latent variable that is explained by the
848 BO HU, JUN SHAO AND MARI PALTA
covariate. McFadden (1973) suggested an alternative, known as “likelihood-
ratio index”, comparing a model without any predictor to a model including all
predictors. It is defined as one minus the ratio of the log likelihood with inter-
cepts only, and the log likelihood with all predictors. If the slope parameters
are all 0, McFadden’s R2 is 0, but it is never 1. Maddala (1983) developed
another pseudo-R2 that can be applied to any model estimated by the maximum
likelihood method. This popular and widely used measure is expressed as
R2M = 1 −
(
L(θ̃)
L(θ̂)
)
2
n
, (1)
.
Stations yourself somewhere (library, cafeteria, etc.) and observe.docxrafaelaj1
Stations yourself somewhere (library, cafeteria, etc.) and observe the nonverbal communication that occurs.
What do people say with their bodies?
What messages are implicit in vocal expressions, clothes, make-up and so on?
Take notes on five of the most eloquent messages sent nonverbally.
*one page.
*Read the instructions then write about 5 difeerent people
.
StatementState legislatures continue to advance policy proposals.docxrafaelaj1
Statement
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference page.
You are to answer two questions in your individual papers.
Brief background of the proposed amendment and “researched” speculation as to why it failed?
What would you propose for them to pass in 2020?
Remember to cite your sources appropriately and turn in original work!
Section 54
KY S 14
Status: Failed - Adjourned
Provides definitions relating to personal information, provides certain personal information that shall be protected from disclosure by a public agency or third-party contractor through redaction or other means, provides a list of covered persons, provides guidelines for contracts between a public agency and a third-party contractor.
.
StatementState legislatures continue to advance policy propo.docxrafaelaj1
Statement
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference page.
You are to answer two questions in your individual papers.
Brief background of the proposed amendment and “researched” speculation as to why it failed?
What would you propose for them to pass in 2020?
Remember to cite your sources appropriately and turn in original work!
KY S 14
Status: Failed - Adjourned
Provides definitions relating to personal information, provides certain personal information that shall be protected from disclosure by a public agency or third-party contractor through redaction or other means, provides a list of covered persons, provides guidelines for contracts between a public agency and a third-party contractor.
.
Statement of PurposeProvide a statement of your educational .docxrafaelaj1
Statement of Purpose
Provide a statement of your educational background, experience, and preparation relevant to a graduate program in computer science, and specify your research and career goals.
The statement of purpose is a short essay introducing the applicant and his or her
interests, goals, and reasons for pursuing graduate study in history. Applicants may wish
to share a draft of their statement with the individuals writing their letters of
recommendation. While every statement, like every prospective student, will be different,
applicants should devote special attention to the following items:
• Academic/Professional Background: Please give your academic credentials, with
degrees, dates, and relevant employment experience. You do not need to list every
job you have had, only those that bear directly on your desire to enter graduate
school.
• Motivations and Aims: Explain what motivates you to do graduate work in history
and what your goals are, both within the graduate program and after the
completion of your degree.
• Existing Expertise and Accomplishments in History: Discuss any areas of
expertise you may already have in your proposed area of interest. If you have
experience doing research, please describe the project and your work on it. If you
have any special talents or skills, such as a foreign language, please describe
them.
• Proposed Course of Study: Please identify planned major field and minor fields of
study.
• Other Relevant Experiences or Personal Qualities: Discuss any experiences or
personal attributes that may illuminate your commitment to the study of history
and to the successful completion of the graduate program.
Format: Your statement of purpose should be limited to no more than 750 words
(between 2 and 3 pages).
.
States and the federal government should not use private prisons for.docxrafaelaj1
States and the federal government should not use private prisons for various reasons. First, most of the private prisons are for-profit facilities. Therefore, they cut on expenses such as lacking enough staffing and resources, which is likely to affect inmates' safety and quality of life. Further, while pro-private prisons note that private prisons save taxpayers' money, studies indicate that they do not reduce costs. For instance, the day to day cost of housing an inmate in 2010 was $53.02 for private prisons compared to $48.42 for a medium-security public prison (Pedowitz, 2012). Also, prisoners do not receive similar kinds of treatment in private facilities. While they may be suitable for the local economy, such as offering job opportunities, lowering costs by private facilities leaves inmates sick and not well cared for (NPR Staff, 2011).
.
StatementState legislatures continue to advance policy proposa.docxrafaelaj1
Statement
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference page.
You are to answer two questions in your individual papers.
1. Brief background of the proposed amendment and “researched” speculation as to why it failed?
2. What would you propose for them to pass in 2020?
Remember to cite your sources appropriately and turn in original work!
KY S 14
Status: Failed - Adjourned
Provides definitions relating to personal information, provides certain personal information that shall be protected from disclosure by a public agency or third-party contractor through redaction or other means, provides a list of covered persons, provides guidelines for contracts between a public agency and a third-party contractor.
.
Statement of Interest (This is used to apply for Graduate Schoo.docxrafaelaj1
Statement of Interest: (This is used to apply for Graduate School, digital media program)
Length: 2 pages. (500-750 words)
Area of interest in digital media.
-computational arts.
I did a mix media group exhibition in Feb. 2018 called What Makes You You. Half of my show is a sculpture-based installation. The other half is an interactive digital programed art(using Processing software). The visual of human evolution ties these two park together. See details at https://dongpu.weebly.com/what-makes-you-you.html
-short videos (documentary production).
I love shooting short videos. I formed a Youtube team called 2037 Club last year. https://www.youtube.com/channel/UCmtUQfDMvL9iE8IOy9oshSA
The latest documentary I did is called Liang(Grain). Video Statement:This documentary discovers the Chinese planned economy history period, which starts at the 1950s. People were given a certain amount of coupons to buy food and daily needs because of the limitation of products. Since this is a historical theme, reference images are included to support the concept of buying food today and before 1990. Other than that, the visuals are mainly about common people’s daily routine nowadays. Along with the visual, the most artistic part in this video is Shanghainese dialogue, which explained food coupons in the way of storytelling. “I accidentally found many food coupons in my grandparents’ house this summer, so I went to ask them about the experiences they had with these coupons. My curiosity leads me to the theme.” said by the producer.
This particular video also has a different meaning to me. My Grandmother passed away one week before the video published at the film festival (at Scottsdale Museum of Commemoratory Art). This piece becomes memorable to me, sadly, my grandmother never had a chance to see the whole piece.
https://www.youtube.com/watch?v=fD0Y-BXDfnY
-3D animation for games
I learned Maya in an animation course. Like editing videos, I soon full in love with 3D modeling.
https://www.youtube.com/watch?v=nGIRxaUdYiY
Business idea, if an applicant has one. It is fine if an applicant is unsure when applying to the program. It is also fine if an applicant is interested in the artistic aspect of digital media and not the entrepreneurial aspect.
I would like to complete a mobile game project in my Graduate studies period and start a game company after graduation. Meanwhile, still active in the art field being an intermedia artist.
Goals or expectations upon completion of the digital media program.
-I want to learn more about computer technologies to create artistic works. Focusing on the field of game development.
-Do more social, get to know people in my field
-Get professional advices of my projects
Here is my cover letter, you can utilize this for the statement of interest.
As a creative and passionate professional with a rich history of developing creative materials, I am eager to submit my resume for consideration for the (Position Title) position .
StatementState legislatures continue to advance policy prop.docxrafaelaj1
Statement
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are page amendments to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference pageamendments proposed.
You are to answer two questions in your individual papers.
Brief background of the proposed amendment and “researched” speculation as to why it failed?
What would you propose for them to pass in 2020?
.
Statement of cash flows (indirect method) Cash flows from ope.docxrafaelaj1
Statement of cash flows (indirect method)
Cash flows from operating activities
Net income
72,600
adjustments to net income
depreciation
4,000
Gan on sale of investments
-7,000
Increase in AR
-36,000
Decrease in inventory
40,000
Increased in Accounts payable
13,000
Decrease in Accrued liabilities
-3,100
net cash provided by operating activities
83,500
Cash flows from investing activities
Purchase of Plant assets
-16,000
Sale of long-term investments
20,000
net cash provided by investing activities
4,000
Cash flows from financing activities
retiement of bonds
-31,000
payment of dividend
-32,500
sale of common stock
6,000
net cash provided by financing activities
-57,500
net increase in cash
30,000
Cash balance, beginning
230,000
cash balance, ending
260,000
Statement of Cash flows (direct method)
Cash flows from operating activities
cash received from customers
714,000
(sales - increase in AR)
cash paid for merchandise
477,000
(cogs - decrease in invnetory - increase in AP)
cash paid for other operating expenes
105,100
(selling & admin exp + decrease in accrued liab - depreciation)
cash paid for income taxes
48,400
net cash provided b oeprating activities
83,500
Cash flows from investing activities
Purchase of Plant assets
-16,000
Sale of long-term investments
20,000
net cash provided by investing activities
4,000
Cash flows from financing activities
retiement of bonds
-31,000
payment of dividend
-32,500
sale of common stock
6,000
net cash provided by financing activities
-57,500
net increase in cash
30,000
Cash balance, beginning
230,000
cash balance, ending
260,000
.
Stateline Shipping and Transport CompanyRachel Sundusky is the m.docxrafaelaj1
Stateline Shipping and Transport Company
Rachel Sundusky is the manager of the South-Atlantic office of the Stateline Shipping and Transport Company. She is in the process of negotiating a new shipping contract with Polychem, a company that manufactures chemicals for industrial use. Polychem want Stateline to pick up and transport waste products from its six plants to three waste disposal sites. Rachel is very concerned about this proposed arrangement. The chemical wastes that will be hauled can be hazardous to humans and the environment if they leak. In addition, a number of towns and communities in the region where the plants are located prohibit hazardous materials from being shipped through their municipal limits. Thus, not only will the shipments have to be handled carefully and transported at reduced speeds, they will also have to traverse circuitous routes in many cases. Rachel has estimated the cost of shipping a barrel of waste from each of the six plants to each of the three waste disposal sites as shown in the following table:
Waste Disposal Site
Plant
Whitewater
Los Canos
Duras
Kingsport
$12
$15
$17
Danville
14
9
10
Macon
13
20
11
Selma
17
16
19
Columbus
7
14
12
Allentown
22
16
18
The plants generate the following amounts of waste products each week:
Plant
Waste per Week (bbl)
Kingsport
35
Danville
26
Macon
42
Selma
53
Columbus
29
Allentown
38
The three waste disposal sites at Whitewater, Los Canos, and Duras can accommodate a maximum of 65, 80, and 105 barrels per week respectively. In addition to shipping directly from each of the six plants to one of the three waste disposal sites, Rachel is also considering using each of the plants and waste disposal sites as intermediate shipping points. Trucks would be able to drop a load at a plant or disposal site to be picked up and carried on to the final destination by another truck, and vice versa. Stateline would not incur any handling costs because Polychem has agreed to take care of all local handling of the waste materials at the plants and the waste disposal sites. In other words, the only cost Stateline incurs is the actual transportation cost. So Rachel wants to be able to consider the possibility that it may be cheaper to drop and pick up loads at intermediate points rather than ship them directly. Rachel estimates the shipping costs per barrel between each of the six plants to be as follows:
Plant
Plant
Kingsport
Danville
Macon
Selma
Columbus
Allentown
Kingsport
$ __
$6
$4
$9
$7
$8
Danville
6
__
11
10
12
7
Macon
5
11
__
3
7
15
Selma
9
10
3
__
3
16
Columbus
7
12
7
3
__
14
Allentown
8
7
15
16
14
__
The e.
State Two ways in which Neanderthals and Cro-Magnons differed. .docxrafaelaj1
State Two ways in which Neanderthals and Cro-Magnons differed.
List an important achievement for each of these scientist. Aristarchus, Euclid, Archimedes, and Herophilus
"Civilizations" is defined as the stage of development in which people have developed :
1. large, permanet communites.
2. a system of writing
3. divirsion
4. trade
5. a srtong central goverment
.
STAT 3300 Homework #6Due Thursday, 03282019Note Answe.docxrafaelaj1
STAT 3300 Homework #6
Due Thursday, 03/28/2019
Note: Answer these questions on a separate piece of paper. In the top right corner, include
your name, SMU ID, and course number. Please include a title for the assignment so that
it is clear to the graders. If you miss class the day the assignment is turned in, submit this
before class in order to receive credit.
Question 1 (25 points total)
Kiplinger’s “Best Values in Public Colleges” provides a ranking of U.S. public colleges based on a combination
of various measures of academics and affordability. The dataset “EX11-18BESTVAL.csv” includes a sample of
25 colleges from Kiplinger’s 2015 report. Let’s focus on the relationship between the average debt in dollars at
graduation (AveDebt, the response variable) and the explanatory variables Admit (admission rate), GradRate
(graduation rate), InCostAid (in-state cost per year after need-based aid), and OutCostAid (out-state cost
per year after need-based aid).
a) (2 points) Write out the statistical model for this analysis, making sure to specify all assumptions.
b) (3 points) Run the multiple regression model in R and report the fitted regression equation.
c) (5 points) State the null and alternative hypothesis for the overall F test, report the overall F statistic,
its degrees of freedom, and the p-value. What do you conclude based on this test result?
d) (2 points) Obtain the residuals from part (b), construct a residual plot of residuals against the predicted
outcome ŷ, and check assumptions. Is Baruch College an unusual case? Provide a brief summary.
e) (3 points) Run the same multiple regression model but this time without Baruch College, and specify the
fitted regression equation. Again comment on the residuals (i.e., construct a residual plot of residuals
against the predicted outcome ŷ and check assumptions).
f) (5 points) For the model in part (e) (i.e., the multiple regression model without Baruch College), report
the overall F statistic, its degrees of freedom, and the p-value. What do you conclude based on this
test result?
g) (5 points) For the model in part (e) that included all p = 4 explanatory variables, only InCostAid is
found significant using the individual parameter t tests. This raises the question whether these other
three variables further contribute to the prediction of average debt given in-state cost is in the model.
Conduct a partial F test to answer this question.
1
Question 1 (25 points total)
Learning Objectives
After studying this chapter, you should be able to accomplish the following objectives:
▪ Describe the philosophical shift that has occurred in reducing juvenile delinquency.
▪ Summarize the importance of prevention and treatment.
▪ Explain the principles of effective intervention.
▪ Explain how need factors contribute to risk for delinquent behavior.
▪ Describe each generation of risk and need assessment tools.
▪ Explain the significance of responsivity factors with regard to treatment..
State Standard by Content AreaLiteracy State Standard to Integra.docxrafaelaj1
State Standard by Content Area
Literacy State Standard to Integrate into Another Content Area
Use a different literacy standard for each content standard.
Standards-based Learning Objective
Aligned to content standards
Instructional Strategy to Integrate Literacy
Resources
Provide links to websites, PDFs, and any other documents used or referenced for strategy
Rationale
How the strategy will promote balanced literacy curriculum
State Content Standard 1:
State Content Standard 2:
State Content Standard 3:
.
STAT200: Assignment #2 - Descriptive Statistics Analysis and Writeup - Instructions
Page 1 of 3
STAT200 Introduction to Statistics
Assignment #2: Descriptive Statistics Analysis and Writeup
Assignment #2: Descriptive Statistics Analysis and Writeup
In the first assignment (Assignment #1: Descriptive Statistics Analysis Data Plan), you developed a
scenario about annual household expenditures and a plan for analyzing the data using descriptive
statistic methods. The purpose of this assignment is to carry out the descriptive statistics analysis plan
and write up the results. The expected outcome of this assignment is a two to three page write-up of
the findings from your analysis as well as a recommendation.
Assignment Steps:
Step #1: Review Feedback from Your Instructor
Before performing any analysis, please make sure to review your instructor’s feedback on Assignment
#1: Descriptive Statistics Data Analysis Plan. Based on the feedback, modify variables, tables, and
selected statistics, graphs, and tables, if needed.
Step #2: Perform Descriptive Statistic Analysis
Task 1: Look at the dataset.
• (Re)Familiarize yourself with the variables. Review Table 1: Variables Selected for the
Analysis you generated for the first assignment as well as your instructor’s feedback. In
addition, look at the data dictionary contained in the data set for information about the
variables.
• Select the variables you need for the analysis.
Task 2: Complete your data analysis, as outlined in your first assignment, with any needed
modifications, based on your instructor’s feedback.
• Calculate Measures of Central Tendency and Variability. Use the information from
Assignment #1 - Table 2. Numerical Summaries of the Selected Variables. Here again,
be sure to see your instructor’s feedback and incorporate into the analysis.
• Prepare Graphs and/or Tables. Use the information from Assignment #1 - Table 3.
Type of Graphs and/or Tables for Selected Variables. Here again, be sure to see your
instructor’s feedback and incorporate into the analysis.
STAT200: Assignment #2 - Descriptive Statistics Analysis and Writeup - Instructions
Page 2 of 3
Step #3: Write-up findings using the Provided Template
For this part of the assignment, write a short 2-3 page write-up of the process you followed and the
findings from your analysis. You will describe, in words, the statistical analysis used and present the
results in both statistical/text and graphic formats.
Here are the main sections for this assignment:
✓ Identifying Information. Fill in information on name, class, instructor, and date.
✓ Introduction. For this section, use the same scenario you submitted for the first assignment and
modified using your instructor’s feedback, if needed. Include Table 1 (Table 1: Variables
Selected for the Analysis) you used in Assignment #1 to show the variables you selected for the
analysis.
✓ Data .
STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template
Page 3 of 3
University of Maryland University College
STAT200 - Assignment #2: Descriptive Statistics Analysis and Writeup
Identifying Information
Student (Full Name):
Class:
Instructor:
Date:
Introduction:
Use the same scenario you submitted for the first assignment with modifications using your instructor’s feedback, if needed. Include Table 1: Variables Selected for the Analysis you used in Assignment #1 to show the variables you selected for analysis.
Table 1. Variables Selected for the Analysis
Variable Name in data set
Description
Type of Variable (Qualitative or Quantitative)
Variable 1: “Income”
Annual household income in USD.
Quantitative
Variable 2:
Variable 3:
Variable 4:
Variable 5:
Data Set Description and Method Used for Analysis:
Results:
Variable 1: Income
Numerical Summary.
Table 2. Descriptive Analysis for Variable 1
Variable
n
Measure(s) of Central Tendency
Measure(s) of Dispersion
Variable: Income
Median=
SD =
Graph and/or Table: Histogram of Income
(Place Histogram here)
Description of Findings.
Variable 2: (Fill in name of variable)
Numerical Summary.
Table 3. Descriptive Analysis for Variable 2
Variable
n
Measure(s) of Central Tendency
Measure(s) of Dispersion
Variable:
Graph and/or Table.
(Place Graph or Table Here)
Description of Findings.
Variable 3: (Fill in name of variable)
Numerical Summary.
Table 4. Descriptive Analysis for Variable 3
Variable
n
Measure(s) of Central Tendency
Measure(s) of Dispersion
Variable:
Graph and/or Table.
(Place Graph or Table Here)
Description of Findings.
Variable 4: (Fill in name of variable)
Numerical Summary.
Table 5. Descriptive Analysis for Variable 4
Variable
N
Mean/Median
St. Dev.
Variable 4:
Graph and/or Table.
(Place Graph or Table Here)
Description of Findings.
Variable 5: (Fill in name of variable)
Numerical Summary.
Table 6. Descriptive Analysis for Variable 5
Variable
n
Measure(s) of Central Tendency
Measure(s) of Dispersion
Variable:
Graph and/or Table.
(Place Graph or Table Here)
Description of Findings.
Discussion and Conclusion.
Briefly discuss each variable in the same sequence as presented in the results. What has the highest expenditure? What variable has the lowest expenditure? If you were to recommend a place to save money, which expenditure would it be and why? Note: The section should be no more than 2 paragraphs.
STAT200 Introduction to Statistics
Dataset for Written Assignments
Description of Dataset:
The data is a random sample from the US Department of Labor’s 2016 Consumer Expenditure Surveys (CE) and provides information about the composition of households and their annual expenditures (https://www.bls.gov/cex/). It contains information from 30 households, where a survey responder provided the requested information; it is all self-reported information. This dataset contains four socioeconomic variables (whose names.
State legislatures continue to advance policy proposals to address c.docxrafaelaj1
State legislatures continue to advance policy proposals to address cyber threats directed at governments and private businesses. As threats continue to evolve and expand and as the pace of new technologies accelerates, legislatures are making cybersecurity measures a higher priority.
Assignment
You are to author a 2-page (maximum) paper about the “failed” amendments proposed by the Kentucky legislature in 2019 with respect to Cyber Policy. APA format – 1 cover page, 2 content pages, and 1 reference page.
You are to answer two questions in your individual papers.
Brief background of the proposed amendment and “researched” speculation as to why it failed?
What would you propose for them to pass in 2020?
Remember to cite your sources appropriately and turn in original work!
Section 54
KY S 14
Status: Failed - Adjourned
Provides definitions relating to personal information, provides certain personal information that shall be protected from disclosure by a public agency or third-party contractor through redaction or other means, provides a list of covered persons, provides guidelines for contracts between a public agency and a third-party contractor.
.
State FLORIDAInstructionsThis written assignment requ.docxrafaelaj1
State: FLORIDA
Instructions
This written assignment requires the student to investigate his/her local, state and federal legislators and explore their assigned committees and legislative commitments. The student is expected to investigate current and actual legislative initiatives that have either passed or pending approval by the house, senate or Governor’s office. The student will draft a letter to a specific legislator and offer support or constructive argument against pending policy or legislation. The letter must be supported with a minimum of 3 evidence based primary citations. (See Rubric)
Submission Details:
Support your responses with examples.
Cite any sources in APA format.
Submit your document to the
Submissions Area
by
the due date assigned.
.
State of the Science Quality ImprovementNameInst.docxrafaelaj1
State of the Science Quality ImprovementNameInstitutionsDate
Abstract
The condition of chronic heart failure sometimes is referred to as congestive heart failure (CHF), which is recognized as an acute life-threatening disease that majorly affects millions of American citizens annually. The condition of the chronic heart failure results when the heart is incapable of sufficient pump the blood throughout the body tissues due to the weak heart muscles (January et al., 2019). Certain conditions, such as narrowed arteries in the heart (CAD) or high blood pressure, gradually leave the heart too weak or stiff to fill and pump efficiently. Moreover, there are some of the several conditions such as coronary artery diseases and hypertension that leads to acute and chronic heart failure in the body system. More importantly, to avoid the possibility of this dangerous condition as well as the ever-increasing of the re-admitted hospital continue, collectively, the patient must be able to control the earlier stated conditions along with diabetes as well as obesity at home-based care and with their primary healthcare providers as well. According to Santesmases-Masana et al. (2019), "Primary health care planned care has been shown to reduce heart failure re-hospitalizations and maintain the patient quality of life." With this known knowledge, it is important to continue care at home and with their primary care provider to monitor and detect worsening of their condition sooner rather than later with evidence-based treatment practices. There are many evidence-based treatments for chronic heart failure that includes monitoring of vital signs, weight, and diet along with medications. In this paper, chronic heart failure, problem discussion, PICO question, and theoretical framework will be presented.
Problem Discussion
Chronic heart failure is a chief public health care concern linked with the high degree of mortality and morbidity in the U.S. Heart failure usually results in adverse outcomes, and the most costly is the issues of hospital readmissions. Currently, the heart failure management clinical procedures and pieces of evidence emphasizes the significance and the function of the care interventions a mid preventing the heart failure readmissions in the hospital set up. The current literature review is meant to evaluate and assess the effectiveness of transitional care interventions that intend to minimize hospital readmissions. Increase hospital readmission and worsening chronic heart failure complications are due to lack of following of a primary care provider and home monitoring of vital signs, weight, diet, energy level, and breathing patterns by the patient. There are many evidence-based practices and comprehensive guidelines for chronic heart failure treatment with side effects of some medications about individual races. For instance, losartan has little to adverse impact on blacks. Furthermore, according to Hadidi et al. (2018), "It has been.
State Data_1986-2015YearGross state product per capitaEducation sp.docxrafaelaj1
State Data_1986-2015YearGross state product per capitaEducation spending per studentUnemployment ratesHigh school graduation rate198614,0402,565.009.168.50198715,0902,573.007.673.90198816,2612,717.666.975.00198916,8423,197.006.672.10199017,5523,327.186.369.50199118,3683,626.566.969.80199219,3673,615.986.970.40199319,8033,761.136.666.10199420,7934,036.535.464.30199521,8824,404.775.264.80199622,6134,716.174.562.70199723,4744,903.294.462.40199824,2145,165.563.964.40199925,2645,511.624.361.30200025,7345,758.434.164.10200126,5716,052.014.763.70200227,6506,327.235.462.10200328,9676,642.065.464.70200431,3686,812.245.065.00200533,2747,308.933.865.90200634,9147,979.703.566.20200732,4048,390.623.567.10200833,6439,103.365.269.00200933,0968,870.0010.169.90201033,9459,001.009.188.00201134,6509,224.009.772.00201235,6258,705.008.075.00201336,5018,755.007.280.00201437,5938,821.006.886.30201536,7509,611.026.189.30201637,4029,642.136.087.10
APA Basics Checklist: Citations, Reference List, and Style
By the Walden University Writing Center
Writing Center staff created this APA checklist to help students remember the basics of APA citations,
reference lists, and style. It is not meant to be comprehensive, but students should use it as a reminder
of the various APA rules that academic papers follow. If students are not sure what a particular item in
the checklist refers to or entails, they should follow the link for more information. Additionally, the
Writing Center can always help with APA questions at [email protected]
Citations
Citations are included in each sentence a source is used
Sources used and cited in the paper are included in the reference list
The abbreviation “et al.” is punctuated appropriately
Parenthetical citations:
Author(s) and publication year are always included
Page or paragraph number is included for all quoted material, using the appropriate
abbreviation: (p. xx) or (para. xx)
Citation is included within the ending punctuation for the sentence
In-text citations
Author(s) is included within the sentence
Publication year is included in parentheses immediately after the author(s)’ name
Publication rule is followed: publication years are included the first time a source is used
in a paragraph; all subsequent uses of that same source does not include the publication
year (Note: Rule starts over with a new paragraph)
Reference List
Title of the list is centered but not bolded
Sources listed in the reference list are used at least once in the paper
Reference entries:
Each entry has an automatically formatted hanging indent
Each entry has the basic information (as available): author(s), publication year,
title, and retrieval information
Each entry has been compared against the common reference entries and
reference entries FAQs on the Writing Center website, checking for:
Punctuation: periods and commas
Formatting: italics is used only when needed
Parenthese.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Cambridge International AS A Level Biology Coursebook - EBook (MaryFosbery J...
STATUse the information below to answer Questions 1 through 4..docx
1. STAT
Use the information below to answer Questions 1 through 4.
Given a sample size of 36, with sample mean 670.3 and sample
standard deviation 114.9, we perform the following hypothesis
test.
Null Hypothesis
Alternative Hypothesis
What is the test statistic?
At a 10% significance level (90% confidence level), what is the
critical value in this test? Do we reject the null hypothesis?
What are the border values between acceptance and rejection of
this hypothesis?
What is the power of this test if the assumed true mean were
710 instead of 700?
Questions 5 through 8 involve rolling of dice.
Given a fair, six-sided die, what is the probability of rolling the
die twice and getting a “1” each time?
What is the probability of getting a “1” on the second roll when
you get a “1” on the first roll?
The House managed to load the die in such a way that the faces
“2” and “4” show up twice as frequently as all other faces.
Meanwhile, all the other faces still show up with equal
frequency. What is the probability of getting a “1” when rolling
this loaded die?
2. Write the probability distribution for this loaded die, showing
each outcome and its probability. Also plot a histogram to show
the probability distribution.
Use the data in the table to answer Questions 9 through 11.
x
3
1
4
4
5
y
1
-2
3
5
9
Determine SS
xx
, SS
xy
, and SS
yy
.
Find the equation of the regression line. What is the predicted
value when
Is the correlation significant at 1% significance level (99%
3. confidence level)? Why or why not?
Use the data below to answer Questions 12 through 14.
A group of students from three universities were asked to pick
their favorite college sport to attend of their choice: The results,
in number of students, are listed as follows:
Football
Basketball
Soccer
Maryland
60
70
20
Duke
10
75
15
UCLA
35
65
25
Supposed a student is randomly selected from the group
mentioned above.
What is the probability that the student is from UCLA or
chooses football?
What is the probability that the student is from Duke, given that
4. the student chooses basketball?
What is the probability that the student is from Maryland and
chooses soccer?
Use the information below to answer Questions 15 and 17.
There are 3600 apples in a shipment. The weight of the apples
in this shipment is normally distributed. It is found that it a
mean weight of 14 ounces with a standard deviation of 2.5
ounces.
How many of apples have weights between 13 ounces and 15
ounces?
What is the probability that a randomly selected mango weighs
less than 12.5 ounces?
A quality inspector randomly selected 100 apples from the
shipment.
What is the probability that the 100 randomly selected apples
have a mean weight less than 12.5 ounces?
Do you come up with the same result in Question 16? Why or
why not?
A pharmaceutical company has developed a screening test for a
rare disease that afflicted 2% of the population. Unfortunately,
the reliability of this test is only 80%, which means that 20% of
the tested will get a false positive. If a subject is tested positive
based on this test, what is the probability that he has the
disease?
Use the information below to answer Questions 19 and 20.
Benford's law
, also called the
first-digit law
, states that in lists of numbers from many (but not all) real-life
5. sources of data, the leading digit is distributed in a specific,
non-uniform way shown in the following table.
Leading Digit
1
2
3
4
5
6
7
8
9
Distribution of Leading Digit (%)
30.1
17.6
12.5
9.7
7.9
6.7
5.8
5.1
4.6
The owner of a small business would like to audit its account
6. payable over the past year because of a suspicion of fraudulent
activities. He suspects that one of his managers is issuing
checks to non-existing vendors in order to pocket the money.
There have been 790 checks written out to vendors by this
manager. The leading digits of these checks are listed as follow:
Leading Digits
50
15
12
74
426
170
11
23
9
Suppose you are hired as a forensic accountant by the owner of
this small business, what statistical test would you employ to
determine if there is fraud committed in the issuing of checks?
What is the test statistic in this case?
What is the critical value for this test at the 5% significance
level (95% confidence level)? Do the data provide sufficient
evidence to conclude that there is fraud committed?
7. Two different simple random samples are drawn from two
different populations. The first sample consists of 20 people
with 10 having a common attribute. The second sample consists
of 2000 people with 1404 of them having the same common
attribute.
Perform a hypothesis test of
p
1
=
p
2
with a 5% significance level (95% confidence level).
Obtain a 95% confidence interval estimate of
p
1
-
p
2
. Do you come up with the same conclusion for Question 21?
Why or why not?
95% confidence interval estimate of
p
1
-
p
2
is,
Hardness of Gem – Questions 23 and 24
Listed
8. below are measured hardness indices from three different
collections of gemstones.
Collection
Hardness Indices
A
9.3
9.3
9.3
8.6
8.7
9.3
9.3
--
---
---
10. 0.34
You are also given that
.
What is the test statistic?
Use a 5% significance level (95% confidence level) to test the
claim that the different collections have the same mean
hardness.
A couple has 3 daughters. The wife is expecting another baby.
What is the probability that the new baby is a girl again?
Suppose the new baby turns out to be a girl. What is the
probability that a family with 4 children that are all girls?
Use the data below to answer Questions 26 and 27.
This is a summary of the midterm scores for two sections of
STAT 230. The midterm questions and the grading criteria are
different in these two sections.
Section A
Student
Score
12. ------
O
39
What are the mean and standard deviation of the scores in
Section A?
We notice that Student
F
in Section A and Student
L
in Section B have the same numerical score.
How do they stand relative to their own classes?
Which student performed better? Explain your answer.
Composite sampling is a way to reduce laboratory testing costs.
A public health department is testing for possible fecal
contamination in public swimming pools. In this case, water
samples from 5 public swimming pools are combined for one
single test, and further testing is performed only if the
combined sample shows fecal contamination. Based on past
experience, there is a 3% chance of finding fecal contamination
in a public swimming area. What is the probability that a
combined sample from 5 public swimming pools has fecal
contamination?
Peter, Paul, Mary, Andrew, John, and Martha are members of
the pastoral council at a local church. They are to be seated at
one side of a long conference table in a pastoral council
meeting.
How many possible ways can these 6 council members can be
13. seated?
How many possible sitting arrangements are there if only
gender is considered in the process?
A banquet organizer knows that not all 600 invited guests will
show up at an event. Based on past experience, only 80% of the
invited guest for this special event will come. When expensive
dishes are served, it would be prudent not to order the full 600
plates because a good number of them will be wasted. On the
other hand, the banquet organizer will try to stay within 7%
probability that he would not have to rush to prepare the
expensive dishes. How many of these expensive dishes would
you order if you were organizing this banquet?