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a. State the hypothesis and identify the claim b. Find the critical vaules(s) c. Compute the test value. d. Make the decision. e. Summarize the results. Based on the following data showing the numbers of people (in thousands) with and without health insurance, can it be concluded at the 0.01 level of significance that the proportion with or without health insurance is related to the state chosen? With Without Arkansas 522 123 Montana 793 146 North Dakota 553 61 Wyoming 447 70 Solution a. State the hypothesis and identify the claim Ho: the proportion with or without health insurance is not related to the state chosen Ha: the proportion with or without health insurance is related to the state chosen b. Find the critical vaules(s) Given a=0.01, the critical value is Chisquare with 0.99, df=3 is 11.34 (from chisquare table) c. Compute the test value. Chisquare = 21.992 d. Make the decision. Since 21.992 is larger than 11.34, we reject Ho. e. Summarize the results. We can conclude that the proportion with or without health insurance is related to the state chosen .

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Qnt 351 final exam mcq`s correct answers 100%

Qnt 351 final exam mcq`s correct answers 100%

1) Those methods involving the collection, presentation, and chara.docx

1) Those methods involving the collection, presentation, and chara.docx

Nursing research quiz series

Nursing research quiz series

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Qnt 351 final exam mcq`s correct answers 100%

This document contains 30 multiple choice questions about statistics concepts such as descriptive statistics, levels of measurement, measures of central tendency, probability, probability distributions, hypothesis testing, and correlation. It also provides brief feedback asking the user to leave an "A" rating if the questions helped and wishing them good luck on their exam.

1) Those methods involving the collection, presentation, and chara.docx

The document contains a series of multiple choice questions related to descriptive statistics and probability concepts. Specifically, it covers topics such as descriptive statistics, probability distributions, sampling, bias, and inference. The questions are designed to test understanding of key terminology, properties of distributions, and how to apply statistical techniques to answer questions about data and populations.

Nursing research quiz series

This document contains a quiz on nursing research and biostatistics. It includes 53 multiple choice questions testing concepts like sampling techniques, scales of measurement, measures of central tendency and variability, probability, distributions, and research methodology (both quantitative and qualitative). The questions cover topics like random sampling, nominal vs. ratio scales, measures like mean, median and mode, standard deviation, normal distributions, hypothesis testing, research design types, and qualitative research approaches.

The quiz has two portions Multiple Choice (8 problems, 32 p.docx

The quiz has two portions:
Multiple Choice
(8 problems, 32 points).
Show work/explanation as appropriate
.
Short Answer
(3 problems, 38 points)
Show work
.
MULTIPLE CHOICE
. Choose the one alternative that best completes the statement or answers the question.
(
4 points
) If the P-value of a hypothesis test comparing two means was 0.25, what can you conclude? (Select all that apply):
A. You can accept the null hypothesis
B. There was a significant difference between the means
C. You failed to reject the null hypothesis
D. There did not appear to be significant difference between the means
(
4 points
) Imagine a researcher wanted to test the effect of the new drug on reducing blood pressure. In this study, there were 50 participants. The researcher measured the participants’ blood pressure before and after the drug intake. If we want to compare the mean blood pressure from the two time periods with a two-tailed t test, how many degrees of freedom are there?
A. 49
B. 50
C. 99
D. 100
(
4 points
) When sample size increases, ____
A. Power increases a great degree at first, reaches its peak, and then slowly decreases
B. Power decreases a great degree at first, reaches its lowest point, and then slowly increases
C. Power increases a great degree at first, and then increases slowly
D. Power decreases a great degree at first, and then decreases slowly
(
4 points
) α=0.05 for a two-tailed test. 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.
A. ±1.768
B. ±1.764
C. ±1.96
D. ±2.575
(
4 points
) In a sample of 47 adults selected randomly from one town, it is found that 9 of them have been exposed to a particular strain of the flu. Find the P-value for a test of the claim that the proportion of all adults in the town that have been exposed to this strain of the flu is 8%.
A. 0.0024
B. 0.0524
C. 0.0228
D. 0.0048
(
4 points
) For a simple random sample, the size is n=17, σ is not known, and the original population is normally distributed. Determine whether the give conditions justify testing a claim about a population mean µ.
A. Yes
B. No
(
4 points
) A medical researcher claims that 20% of children suffer from a certain disorder. Indentify the type I error for the test.
A. Fail to reject the claim that the percentage of children who suffer from the disorder is equal to 20% when the percentage is actually 20%.
B. Reject the claim that the percentage of children who suffer from the disorder is equal to 20% when that percentage is actually 20%.
C. Fail to reject the claim that the percentage of children who suffer from the disorder is equal to 20% when that percentage is actually different from 20%.
D.Reject the claim that the percentage of children who suffer from the disorder is different from 20% when that percentage really is different f.

advanced biostat.pdf

The document is a 13-page final exam for an advanced biostatistics course consisting of two parts. Part I contains 18 multiple choice questions testing concepts like hypothesis testing, confidence intervals, ANOVA, and linear regression. Part II asks students to analyze logistic regression output and answer questions about estimating and interpreting the model. It asks students to write equations, state hypotheses, interpret coefficients, evaluate model fit, and summarize the analysis.

advanced biostat.pdf

The document is a 13-page final exam for an advanced biostatistics course consisting of two parts. Part I contains 18 multiple choice questions testing concepts like hypothesis testing, confidence intervals, ANOVA, and linear regression. Part II asks students to analyze logistic regression output and answer questions about estimating and interpreting the model. It asks students to write equations, state hypotheses, interpret coefficients, evaluate model fit, and summarize the analysis.

1. US Census statistics show that college graduates make more than $.docx

1. US Census statistics show that college graduates make more than $254,000 more intheir lifetime than non-college graduates. If you were to question the validity ofthis observation, what would be your basis for doing so?
A. Definition of a college graduate
B. Work lifestyles of the population
C. Defining “lifetime”
D. How the Census was taken
2. The average age in a sample of 190 students at City College is 22. As a result of this sample, it can be concluded that the average age of all the students at City College
A. must be more than 22, since the population is always larger than the sample
B. must be less than 22, since the sample is only a part of the population
C. could not be 22
D. could be larger, smaller, or equal to 22
3. Since a sample is a subset of the population, the sample mean
A. is always smaller than the mean of the population
B. is always larger than the mean of the population
C. must be equal to the mean of the population
D. can be larger, smaller, or equal to the mean of the population
Use the following situation for Questions 4-7. Michael, Inc., a manufacturer ofelectric defibrillators, is a firm that makes 50 types of electric defibrillators . Thetable below shows the price distribution of the defibrillators .
Price (In $) Number of Defibrillators
100 – 130 8
140 - 170 12
180 - 210 20
220 - 250 10
TOTAL 761.22
Select from the following choices for Questions 4-7. Use letter only in the blank.
A. 32 B. 50% C. 20 D. 30 E. 16% F. 10 G. 60% H. 50
4. How many defibrillators have a price of at least $180?__ D. _____
5. What percentage of the defibrillators has a price of at least $180? ___%___
6. What percentage of the defibrillators has a price of less than $140? ___ E. __
7. How many defibrillators cost at least $140 but no more than $210? __ A. ____
8. Temperature is an example ofa quantitative variable
A. a qualitative variable
B. a quantitative variable
C. either a quantitative or qualitative variable
D. neither a quantitative nor qualitative variable
Use the following situation for Questions 9 and 10.
The following frequency distribution shows the frequency of outbreaks of the11 virus (statistics flu) for the following households in a small rural community.
Households 1134 406 168 41 25 12 : 1786
Outbreaks 0 1 2 3 4 5
9.
Use the frequency distribution to construct a probability distribution by filling in
the blanks below.
x 0 1 2 3 4 5
P(x) P(0) = P(1) = P(2) = P(3) = P(4) = P(5) =
10. Compute the mean and the standard deviation and select from the following the appropriate interpretation of the results (select best response)
A. A household on the average has 0.9 outbreaks with a standard deviation of.6 outbreaks
B. A household on the average has 0.6 outbreaks with a standard deviation of12 outbreaks
C. A household on the average has 0.9 outbreaks with a standard deviation of.9 outbreaks
D. A household on the average has 0.6 outbreaks with a standard deviation of.9 outbreaks
Use the following situ.

2 4. A researcher is interested in the level of ideolog.docx

2
4. A researcher is interested in the level of ideological consistency among Democrats and Republicans.
She creates a measure of ideological consistency that ranges from 0 (total lack of consistency) to 10
(absolute consistency). What kind of statistical test should the researcher employ?
A. Chi-Square
B. Guessing
C. Differences of Means Test
D. Correlation
5. Regression in appropriate when our dependent variable is measured at what level of measurement?
A. Interval
B. Ordinal
C. Nominal
D. Dummy
6. A type one error occurs…
A. When we incorrectly fail to reject the null hypothesis even though it is false
B. When we have measurement error in one of our variables
C. When we incorrectly reject the null hypothesis even though it is true
D. When the results of our analysis do not support our alternative hypothesis
7. Below are four different hypotheses, which of the four should be tested using a one tailed test?
A. Democrats and Republicans will differ in their support for tax cuts
B. Republicans will be more supportive of tax cuts than Democrats
C. Republicans and Democrats will not differ in their support for tax cuts
D. Support for tax cuts will differ by party
8. In Chi Square testing our expected frequencies are…
A. The frequencies we would expect to observe if the null hypothesis was true
B. The frequencies we actually observe
3
C. The frequencies we would expect to observe if the alternative hypothesis was true
D. The frequencies we would expect to observe if the null hypothesis was false
9. A researcher is interested in testing whether males and females differ in their level of political
knowledge. To test this the researcher administers a political knowledge test to a sample of 10 males
and 10 females. Tests are scored out of 100 points. What statistical test should the researcher use to
test her hypothesis that males and females will differ in their level of political knowledge. (Hint think
about what test is appropriate for the level of measurement of these variables)
A. Correlation
B. Chi Square
C. Difference of Means Test
D. Standard Deviation
10. Outliers are a particular problem for which statistical test?
A. Correlation
B. Regression
C. Difference of Means
D. Chi Square
11. In regression our constant (Y intercept) is equal to:
A. The predicted value of Y when all of the X’s in our model = 0
B. The expected change in Y associated with a one unit change in X
C. The predicted value of X when all the Y’s in our model = 0
D. The expected change in X associated with a one unit change in Y
12. If we decrease our probability of making a Type 1 error we…
A. Decease our probability of making a Type 2 error
B. Increase our probability of making a Type 2 error
C. Have the same probability of making a Type 2 error
D. Have 0 probability of making a Type 2 error
4
13. Correlation and regression ana ...

Statsmath1. You are conducting a study to see if the probabi.docx

Stats
math
1. You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly more than 0.25.
With
H
1 : p >> 0.25 you obtain a test statistic of z=1.397z=1.397.
Use a normal distribution calculator and the test statistic to find the P-value accurate to 4 decimal places. It may be left-tailed, right-tailed, or 2-tailed.
P-value =
2. You are conducting a study to see if the probability of catching the flu this year is significantly more than 0.27.
With
H
1 : p >> 0.27 you obtain a test statistic of z=1.722z=1.722.
Use a normal distribution calculator and the test statistic to find the P-value accurate to 4 decimal places. It may be left-tailed, right-tailed, or 2-tailed.
P-value =
3. You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly more than 0.81. You use a significance level of α=0.001α=0.001.
H0:p=0.81H0:p=0.81
H1:p>0.81H1:p>0.81
You obtain a sample of size n=218n=218 in which there are 184 successes.
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value =
The p-value is...
a) less than (or equal to) αα
b) greater than αα
This test statistic leads to a decision to...
a) reject the null
b) accept the null
c) fail to reject the null
As such, the final conclusion is that...
a) There is sufficient evidence to warrant rejection of the claim that the probability of a true negative on a test for a certain cancer is more than 0.81.
b)There is not sufficient evidence to warrant rejection of the claim that the probability of a true negative on a test for a certain cancer is more than 0.81.
c)The sample data support the claim that the probability of a true negative on a test for a certain cancer is more than 0.81.
d)There is not sufficient sample evidence to support the claim that the probability of a true negative on a test for a certain cancer is more than 0.81.
4. You are conducting a study to see if the proportion of men over 50 who regularly have their prostate examined is significantly different from 0.23. You use a significance level of α=0.02α=0.02.
H0:p=0.23H0:p=0.23
H1:p≠0.23H1:p≠0.23
You obtain a sample of size n=167n=167 in which there are 32 successes.
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value =
The p-value is...
A) less than (or equal to) αα
B) greater than αα
This test statistic leads to a decision to...
A)reject the null
B)accept the null
C)fail to reject the null
As such, the final conclusion is that...
A) There is sufficient evidence to warrant rejection of the claim that the proportion of men over 50 who regularly have their pros.

1. You are conducting a study to see if the probability of a true ne.docx

1. You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly more than 0.25.
With
H
1 : p >> 0.25 you obtain a test statistic of z=1.397z=1.397.
Use a normal distribution calculator and the test statistic to find the P-value accurate to 4 decimal places. It may be left-tailed, right-tailed, or 2-tailed.
P-value =
2. You are conducting a study to see if the probability of catching the flu this year is significantly more than 0.27.
With
H
1 : p >> 0.27 you obtain a test statistic of z=1.722z=1.722.
Use a normal distribution calculator and the test statistic to find the P-value accurate to 4 decimal places. It may be left-tailed, right-tailed, or 2-tailed.
P-value =
3. You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly more than 0.81. You use a significance level of α=0.001α=0.001.
H0:p=0.81H0:p=0.81
H1:p>0.81H1:p>0.81
You obtain a sample of size n=218n=218 in which there are 184 successes.
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value =
The p-value is...
a) less than (or equal to) αα
b) greater than αα
This test statistic leads to a decision to...
a) reject the null
b) accept the null
c) fail to reject the null
As such, the final conclusion is that...
a) There is sufficient evidence to warrant rejection of the claim that the probability of a true negative on a test for a certain cancer is more than 0.81.
b)There is not sufficient evidence to warrant rejection of the claim that the probability of a true negative on a test for a certain cancer is more than 0.81.
c)The sample data support the claim that the probability of a true negative on a test for a certain cancer is more than 0.81.
d)There is not sufficient sample evidence to support the claim that the probability of a true negative on a test for a certain cancer is more than 0.81.
4. You are conducting a study to see if the proportion of men over 50 who regularly have their prostate examined is significantly different from 0.23. You use a significance level of α=0.02α=0.02.
H0:p=0.23H0:p=0.23
H1:p≠0.23H1:p≠0.23
You obtain a sample of size n=167n=167 in which there are 32 successes.
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value =
The p-value is...
A) less than (or equal to) αα
B) greater than αα
This test statistic leads to a decision to...
A)reject the null
B)accept the null
C)fail to reject the null
As such, the final conclusion is that...
A) There is sufficient evidence to warrant rejection of the claim that the proportion of men over 50 who regularly have their prostate .

test bank The Analysis of Biological Data, 3e Michael Whitlock, Dolph Schlute...

This document appears to be a chapter from a statistics textbook, containing multiple choice questions about key statistical concepts. It covers topics like experimental vs observational studies, accuracy vs precision, variables, sampling, and frequencies. The questions assess understanding of foundational statistical terminology and how statistics are used to make inferences about populations based on sample data.

QNT 561 Week 4 Weekly Learning Assessments

QNT 561 Week 4 Weekly Learning Assignments – Learning made easy. Get instant help from our learned professors on the weekly learning assignments.

Cumulative Final ExamYour response has been submitted successful.docx

Cumulative Final Exam
Your response has been submitted successfully.
Points Awarded
95
Points Missed
5
Percentage
95%
1.
A description of different houses for sale includes the following variables. Which of the variables is categorical?
A.
the square footage of the house
B.
whether or not the house has a finished basement
C.
the monthly electric bill
D.
All of the above
Correct
Points Earned:
1/1
Correct Answer:
B
Your Response:
B
2.
As part of a data base on new births at a hospital, some variables recorded are the age of the mother, marital status of the mother (e.g., single, married, divorced), weight of the baby, and sex of the baby. Of these variables
A.
the individuals described are mothers and babies involved in births at a hospital.
B.
age of mother and weight of baby are quantitative variables.
C.
sex and marital status are categorical variables.
D.
All of the above.
Correct
Points Earned:
1/1
Correct Answer:
D
Your Response:
D
3.
A large university is divided into six colleges, with most students graduating from four of these colleges. The following bar chart gives the distribution of the percent graduating from the four most popular colleges in 2003.
Reference: Ref 1-2
Which of the following is a correct statement?
A.
A timeplot of the 2003 distribution would be more informative.
B.
The bar graph is skewed to the right.
C.
The bar graph is skewed to the left.
D.
It would be correct to make a pie chart if you added an “Other” category.
Correct
Points Earned:
1/1
Correct Answer:
D
Your Response:
D
4.
The histogram below shows the time visitors to a museum spent browsing an exhibit on a Saturday. There were 300 visitors that day. The following histogram is of the data collected.
Reference: Ref 1-3
The histogram
A.
is skewed right.
B.
has an outlier.
C.
is asymmetric.
D.
All of the above
Correct
Points Earned:
1/1
Correct Answer:
D
Your Response:
D
5.
The stemplot below displays midterm exam scores for the 34 students taking a Calculus course. The highest possible test score was 100. The teacher declared that an exam grade of 65 or higher was good enough for a grade of “C” or better.
Reference: Ref 1-5
The percent of students earning a grade of “C” or higher (as declared by the teacher) is closest to
A.
35%.
B.
50%.
C.
65%.
D.
80%.
Correct
Points Earned:
1/1
Correct Answer:
C
Your Response:
C
6.
A stemplot of ages of 18 faculty members in a college math department follows. 4|3 represents 43 years.
Reference: Ref 2-2
The median age (in years) of the faculty members at Wilmington State is
A.
39.
B.
45.
C.
47.5.
D.
49.
Correct
Points Earned:
1/1
Correct Answer:
C
Your Response:
C
7.
The exam scores (out of 100 points) for all students taking an introductory Statistics course are used to construct the following boxplot.
Reference: Ref 2-3
If each person increased his or her score by 5 points then
A.
the third quartile would increase by 5 points.
B.
the median score would increase by 5 points.
C.
the i.

InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docx

This document discusses implementing a social, environmental, and economic impact measurement system within a company. It explains that measuring sustainability performance is critical for evaluating projects, the company, and its members. A proper measurement system allows companies to develop a sustainability strategy, allocate resources to support it, and evaluate trade-offs between sustainability projects. The document provides examples from Nike and P&G of measuring impacts to demonstrate the business case for sustainability. It stresses that measurement is important for linking performance to sustainability principles and facilitating continuous improvement.

Inferential statistics

The document discusses key concepts in statistical inference including estimation, confidence intervals, hypothesis testing, and types of errors. It provides examples and formulas for estimating population means from sample data, calculating confidence intervals, stating the null and alternative hypotheses, and making decisions to accept or reject the null hypothesis based on a significance level.

1Suppose that the average song length in America is 4 minutes wit.docx

1 Suppose that the average song length in America is 4 minutes with a standard deviation of 1.25 minutes. It is known that song length is not normally distributed. Find the probability that a single randomly selected song from the population will be longer than 4.25 minutes. Round to the nearest thousandth.
Answer
A. 0.579
B. 0.079
C. 0.421
D. This probability cannot be determined because we do not know the distribution of the population.
2 An outcome of an experiment or study that is large enough to have a real effect on people’s health or lifestyle is said to have clinical significance.
Answer
True
False
3 Are average SAT scores higher in schools where a smaller percentage of graduating students take the test? To answer this question 10 schools are sampled and the average SAT and percentage of students taking the test were recorded. 2002 SAT results of regional high schools were sampled and the data is given below. Use that data to test if there is a relation between the proportion of seniors that take the test and the average SAT scores. At 95% confidence level.
2002 SAT results of a sample of Western North Carolina High Schools.
Mean SAT scores
1106
1040
1013
1066
1061
1075
1058
997
1014
965
Percent tested
61
59
44
54
72
74
80
32
49
What is R2 for the equation?
A. R2=0.793
B.B. R2= 0.429
C. C. R2=0.326
D. D. R2=0.357
4. Suppose the Acme Drug Company develops a new drug, designed to prevent colds. The company states that the drug is equally effective for men and women. To test this claim, they choose a simple random sample of 100 women and 200 men from a population of 100,000 volunteers. At the end of the study, 38% of the women caught a cold; and 51% of the men caught a cold. State the null and alternative hypothesis:
Answer
A. H0: p1 = p2 : HA: p1 = p2 :
B. H0: p1 < p2 HA: p1< p2 :
C. H0: p1 > p2 HA: p1> p2 :
D. H0: p1 ≠ p2 HA: p1= p2 :
5 An insurance company is reviewing its current policy rates. When originally setting the rates they believed that the average claim amount was $1,800. They are concerned that the true mean is actually higher than this, because they could potentially lose a lot of money. They randomly select 40 claims, and calculate a sample mean of $1,950. Assuming that the standard deviation of claims is $500, and set α = 0.05, test to see if the insurance company should be concerned. What do we interpret from the problem?
Answer
A. P value < α so we reject Ho
B. P value > α so we do not reject Ho
C. P value < α so we do not reject Ho
D. P value < α so we reject Ho
6 1. To achieve a significance level of α, if the p-value is less than (or equal to) α, then________________
Answer
A. accept the null hypothesis
B. do not reject the null hypothesis
C. reject the null hypothesis
D. accept the alternative hypothesis
7 1. Neuroscience researchers examined the impact of environment on rat development. Rats were.

Int 150 The Moral Instinct”1. Most cultures agree that abus.docx

Int 150
“The Moral Instinct”
1. Most cultures agree that abusing innocent people is wrong. True or false
2. Young children have a sense of morality. True or false (example)?
3. Emotional reasoning trumps rationalizing. True or false (explain)
4. According to the article, psychopathy or moral misbehavior (like rape) is more environmental than genetic. True or false (example)
5. Explain the point about the British schoolteacher in Sudan.
6. Name three things anthropologists believe all people share, in addition to thinking it’s bad to harm others and good to help them.
a.
b.
c.
7. What is reciprocal altruism?
8. How does the psychologist Tetlock explain the outrage of American college students at the thought that adoption agencies should place children with couples willing to pay the most?
9. Discuss: A love for children and sense of justice is just an expression of our innate sense of preserving our genes for future generations (Darwin)
10. What does the author warn about the arguments regarding climate change?
Hypothesis Testing
(Statistical Significance)
1
Hypothesis Testing
Goal: Make statement(s) regarding unknown population parameter values based on sample data
Elements of a hypothesis test:
Null hypothesis - Statement regarding the value(s) of unknown parameter(s). Typically will imply no association between explanatory and response variables in our applications (will always contain an equality)
Alternative hypothesis - Statement contradictory to the null hypothesis (will always contain an inequality)
The level of significant (Alpha) is the maximum probability of committing a type I error. P(type I error)= alpha
Definitions
Rejection (alpha, α) Region:
Represents area under the curve that is used to reject the null hypothesis
Level of Confidence, 1 - alpha (a):
Also known as fail to reject (FTR) region
Represents area under the curve that is used to fail to reject the null hypothesis
FTR
H0
α/2
α/2
3
1 vs. 2 Sided Tests
Two-sided test
No a priori reason 1 group should have stronger effect
Used for most tests
Example
H0: μ1 = μ2
HA: μ1 ≠ μ2
One-sided test
Specific interest in only one direction
Not scientifically relevant/interesting if reverse situation true
Example
H0: μ1 ≤ μ2
HA: μ1 > μ2
4
Example: It is believed that the mean age of smokers in San Bernardino is 47. Researchers from LLU believe that the average age is different than 47.
Hypothesis
H0:μ = 47
HA: μ ≠ 47
μ = 47
α /2 = 0.025
Fail to Reject (FTR)
α /2 = 0.025
5
Three Approaches to Reject or Fail to Reject A Null Hypothesis:
1a. Confidence interval
Calculate the confidence interval
Decision Rule:
a. If the confidence interval (CI) includes the null, then the decision must be to fail to reject the H0.
b. If the confidence interval (CI) does not include the null, then the decision must be to reject the H0.
6
1b. Confidence interval to compare groups
Calculate the confidence interval for each gro.

Please put answers below the boxes1) A politician claims that .docx

Please put answers below the boxes
1)
A politician claims that he is supported by a clear majority of voters. In a recent survey, 35 out of 51 randomly selected voters indicated that they would vote for the politician. Use a 5% significance level for the test. Use Table 1.
a.
Select the null and the alternative hypotheses.
H0: p = 0.50; HA: p ≠ 0.50
H0: p ≤ 0.50; HA: p > 0.50
H0: p ≥ 0.50; HA: p < 0.50
b.
Calculate the sample proportion. (Round your answer to 3 decimal places.)
Sample proportion
c.
Calculate the value of test statistic. (Round intermediate calculations to 4 decimal places. Round your answer to 2 decimal places.)
Test statistic
d.
Calculate the p-value of the test statistic. (Round intermediate calculations to 4 decimal places. Round "z" value to 2 decimal places and final answer to 4 decimal places.)
p-value
e.
What is the conclusion?
Do not reject H0; the politician is not supported by a clear majority
Do not reject H0; the politician is supported by a clear majority
Reject H0; the politician is not supported by a clear majority
Reject H0; the politician is supported by a clear majority
2)
Consider the following contingency table.
B
Bc
A
22
24
Ac
28
26
a.
Convert the contingency table into a joint probability table. (Round your intermediate calculations and final answers to 4 decimal places.)
B
Bc
Total
A
Ac
Total
b.
What is the probability that A occurs? (Round your intermediate calculations and final answer to 4 decimal places.)
Probability
c.
What is the probability that A and B occur? (Round your intermediate calculations and final answer to 4 decimal places.)
Probability
d.
Given that B has occurred, what is the probability that A occurs? (Round your intermediate calculations and final answer to 4 decimal places.)
Probability
e.
Given that Ac has occurred, what is the probability that B occurs? (Round your intermediate calculations and final answer to 4 decimal places.)
Probability
f.
Are A and B mutually exclusive events?
Yes because P(A | B) ≠ P(A).
Yes because P(A ∩ B) ≠ 0.
No because P(A | B) ≠ P(A).
No because P(A ∩ B) ≠ 0.
g.
Are A and B independent events?
Yes because P(A | B) ≠ P(A).
Yes because P(A ∩ B) ≠ 0.
No because P(A | B) ≠ P(A).
No because P(A ∩ B) ≠ 0.
3)
A hair salon in Cambridge, Massachusetts, reports that on seven randomly selected weekdays, the number of customers who visited the salon were 72, 55, 49, 35, 39, 23, and 77. It can be assumed that weekday customer visits follow a normal distribution. Use Table 2.
a.
Construct a 90% confidence interval for the average number of customers who visit the salon on weekdays. (Round intermediate calculations to 4 decimal places, "sample mean" and "sample standard deviation" to 2 decimal places and "t" value to 3 decimal places, and final answers to 2 decimal places.)
Confidence interval
to
b.
Construct a 99% confidence interval for the average number of customers who visit the .

ISPOR poster - direct elicitation 280415

This poster describes a novel approach to directly elicit personal utility functions for health states described by the EQ-5D descriptive system. The approach involves a series of tasks to directly ask respondents about the relative importance they place on different health dimensions and levels, rather than inferring preferences from choice responses. Pilot interviews will test paper- and computer-based versions of the questionnaire to collect dimension and level weights, validate responses, estimate a value for dead, and examine interactions. Feedback will be used to refine the questionnaire for further testing in 2015.

Don’t use this paper as a base paper, use the other one.docx

Don’t use this paper as a base paper, use the other one
This one you can use for some parts
One-Sample Hypothesis Testing Cases
1
6
One-Sample Hypothesis Testing Cases
A sample of 765 voters were taken at the exit poll who were asked for whom they voted. During this time the two presidential candidates were Republican George Bush and Democratic Al Gore. Out of the sample of 765 voters, 358 elected Al Gore and 407 elected George Bush. After collecting this data, predicting the significant level at 0.10 may decide that George Bush will receive more than 50% votes. It may be possible that a candidate could win if he gets more than 50% votes. To determine that one will apply the test of proportion to testing the hypothesis.
The alternate and null hypothesis can be determined as:
Alternate Hypothesis: H1: p > 0.50 and the Null Hypothesis: H0: p = 0.50, defining it as the right tail test. The sample size larger than 30, one can reference the Z-test to test the hypothesis. Significance level at α = 0.10. Critical value at the same level of 0.10 is calculated as 1.28. Greater than critical value 1.28 is the Critical region area. Decision Rule: it the test results falls in the critical region, the null hypothesis may be rejected (Black, 2017). For instance, null hypothesis is rejected if: Z test statistic > Critical value Z0.10 = 1.28. Test statistic is calculated as: z = , Where, p0 = null hypothesis proportion = 0.5, x = number of voters who voted for George W. Bush = 407 n = 765. Therefore, Z test statistic = = 1.7716. Resulting the Z-test statistic > critical value, in other words the test falls in the rejection region. Concluding the null hypothesis is rejected at 0.10 significance level which is shown in the graph below. The right of the z value 1.282 is the rejection region which is in red. 1.772 is the test statistic which falls in the rejection area determining the null hypothesis is rejected. Resulting George Bush will get more than 50% votes by accepting the alternate hypothesis.
Conclusion
Using the null and alternate hypothesis to calculate if the Republicans or Democratic will receive more votes, it is evident by what was configured above Republican George Bush may be win the election. This may be telecast across the world at 8:01 PM that George W. Bush will win selective states.
Case Study – SpeedX
Presently, mean and standard deviation of the total time taken by customers of SpeedX to pay bills are 24 days and 6 days correspondingly. Including self-addressed envelope and stamped with invoices is anticipated to decrease payment period by 2 days. To see if sending stamped and self-addressed envelope with invoices decreases payment period from 24 days to 22 days, a pilot study was conducted. In this pilot study, we choose 220 customers as a sample, and self-addressed stamped envelopes were sent to the customers. To determine the number of days it would take for the consumers to pay their bills was documented. Per.

Qnt 351 final exam mcq`s correct answers 100%

Qnt 351 final exam mcq`s correct answers 100%

1) Those methods involving the collection, presentation, and chara.docx

1) Those methods involving the collection, presentation, and chara.docx

Nursing research quiz series

Nursing research quiz series

The quiz has two portions Multiple Choice (8 problems, 32 p.docx

The quiz has two portions Multiple Choice (8 problems, 32 p.docx

advanced biostat.pdf

advanced biostat.pdf

advanced biostat.pdf

advanced biostat.pdf

1. US Census statistics show that college graduates make more than $.docx

1. US Census statistics show that college graduates make more than $.docx

2 4. A researcher is interested in the level of ideolog.docx

2 4. A researcher is interested in the level of ideolog.docx

Statsmath1. You are conducting a study to see if the probabi.docx

Statsmath1. You are conducting a study to see if the probabi.docx

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1. You are conducting a study to see if the probability of a true ne.docx

test bank The Analysis of Biological Data, 3e Michael Whitlock, Dolph Schlute...

test bank The Analysis of Biological Data, 3e Michael Whitlock, Dolph Schlute...

QNT 561 Week 4 Weekly Learning Assessments

QNT 561 Week 4 Weekly Learning Assessments

Cumulative Final ExamYour response has been submitted successful.docx

Cumulative Final ExamYour response has been submitted successful.docx

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InstructionDue Date 6 pm on October 28 (Wed)Part IProbability a.docx

Inferential statistics

Inferential statistics

1Suppose that the average song length in America is 4 minutes wit.docx

1Suppose that the average song length in America is 4 minutes wit.docx

Int 150 The Moral Instinct”1. Most cultures agree that abus.docx

Int 150 The Moral Instinct”1. Most cultures agree that abus.docx

Please put answers below the boxes1) A politician claims that .docx

Please put answers below the boxes1) A politician claims that .docx

ISPOR poster - direct elicitation 280415

ISPOR poster - direct elicitation 280415

Don’t use this paper as a base paper, use the other one.docx

Don’t use this paper as a base paper, use the other one.docx

A. Given the following information about the increase in revenue for.pdf

A. Given the following information about the increase in revenue for top companies x compared
to the pay CEO’s receive y.
x: 24 23 25 18 6 4 21 37 ( Percent for company)
y: 21 25 20 14 -4 19 15 30 ( Percent Salary increase for CEO)
Find the Sd.
Solution
standard deviation x,Sd= 9.9718 (answer) y,Sd =9.4472 (answer).

a. primary datab. explanatory datac. secondary datad. pilot da.pdf

a. primary data
b. explanatory data
c. secondary data
d. pilot data
e. preliminary data
Solution
1) Primary data is a type of information that is obtained directly from first-hand sources by
means of surveys, observation or experimentation. It is data that has not been previously
published and is derived from a new or original research study and collected at the source such
as in marketing.
2)Instatistics,exploratory data analysis (EDA)is an approach toanalyzingdata setsto summarize
their main characteristics, often with visual methods. Astatistical modelcan be used or not, but
primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis
testing task. Exploratory data analysis was promoted byJohn Tukeyto encourage statisticians to
explore the data, and possibly formulate hypotheses that could lead to new data collection and
experiments
3)
Secondary data is all the information collected for purposes other than the completion of a
research project and it.

A. the interval includes zero. B. the interval does NOT include ze.pdf

A. the interval includes zero.
B. the interval does NOT include zero.
C. the intervals are made at 95% Individual confidence level.
D. the intervals are made at 95% Familyconfidence level.
E. the intervals do overlap.
Solution
F. the interval does NOT include zero.
if there is significant difference then interval doesnt include 0 (x1-x2 is not equal to 0).

a. Suppose Z is Normally distributed (0,1). What value of z makes t.pdf

a. Suppose Z is Normally distributed (0,1). What value of z* makes the following equation true?
P( -z* < Z < z* ) = 0.45.
b. What is the 75th percentile of the standard normal distribution?
Solution
P(-z-z)=1-P(Z<-z)=1-No(-z) No(-z)=1-No(z) P(-z z=0.6 b) P(Z.

A. Strong trend that indicates business growth. B. A lack of an ad.pdf

A. Strong trend that indicates business growth.
B. A lack of an adequate number of data observations.
C. Significant unexplained business cycles.
D. Residuals with all positive signs.What is the typical cause of positive serial correlation in
business data?
Solution
D. Residuals with all positive signs.
Serial correlation occurs in time-series studies when the errors associated with a given time
period carry over into future time periods..

a. Operationalizationb. Data entryc. Editingd. Measuremente..pdf

a. Operationalization
b. Data entry
c. Editing
d. Measurement
e. Coding
I believe the answer is \'e\' Coding, but would appreciate some feedback. Please explain your
reasoning in clear and easily understood language.
Solution
e. Coding
So that reponse can be hidden from people. To keep answers confidential.

A. No since the D-W statistics is below 2.5. B. No since the VIFs .pdf

A. No since the D-W statistics is below 2.5.
B. No since the VIFs are below 2.5.
C. Yes since the F value is very high at 745.9.
D. No since the constant term is significant.
E. Yes since the DW statistic is below the lower table value for this model.Does the best
regression model have significant multicollinearity?
Solution
Option B
If the VIF is equal to 1 there is no multicollinearity, but if the VIF is greater than 1, the
independent variables may be moderately correlated. A VIF between 1 to 2.5 represents
moderately correlated or insignificantly correlated. A VIF between 5 and 10 indicates high
correlation (multicollinearity)..

A. have become more pronounced than in previous periods. B. have b.pdf

A. have become more pronounced than in previous periods.
B. have become more frequent than in previous periods.
C. have become less severe than in previous periods.
D. have not changed in severity or length in spite of government actions.Due to monetary policy
and fiscal policy intervention by the Federal Government since the 1950s business cycles
Solution
Option C: have become less severe than in previous periods.
Recessions in the United States have become noticeably less frequent and severe since 1950s.
There were three recessions between 1973 and 1982, but, then the 1982 trough was followed by
eight years of uninterrupted expansion. The 1980 recession lasted just six months, while the 1981
recession lasted sixteen months..

a. Explain the evolution of corporate governance. What problems deve.pdf

a. Explain the evolution of corporate governance. What problems developed? What are the
current trends?
b. What are the major criticisms of boards of directors? Which single criticism do you find to be
the most important? Why?
Solution
a. Evolution of corporate governance
Ever since the concept of corporate entity was recognized, corporate governance in various
manifestations has been in existence.
b. Major criticisms of boards of directors
The major criticisms of board of directors are as follows,
Lack Of Diversity
Boards of directors have long been criticized for having low numbers of female directors,
especially when their constituencies have large numbers of women. In 2012, ConocoPhillips and
Facebook were two public companies that added a woman after criticism for solely having white
males on their boards. Companies with board diversity have proven to be better performers than
companies without board diversity. As a board director, you can support diversity by sourcing
and mentoring female and minority professionals who can make valuable contributions to your
organization\'s work.
Lack Of Expertise
Board directors who are not qualified to make decisions related to their roles are criticized once
the company goes in a detrimental direction. In 2013, JPMorgan lost two longtime directors
because of decisions they made as members of the board\'s risk committee, despite not having
backgrounds in risk management. As a board director, be confident in the contributions you
make to the board and the company. Work in committees in which you have qualified
perspective instead of using board committees as a training ground to acquire new skills.
Non-profit Board
Weak fundraising, short-sighted strategy and misunderstanding their roles are major criticisms of
non-profit boards of directors. They have been chastised for not being stronger fundraisers and
being reactive at resolving operational issues instead of creating a long-term strategy for meeting
the mission of the non-profit. These relate to not fully understanding the role of a board director
versus non-profit executive director and staff roles. You can mitigate these issues by
understanding your job description as a non-profit board director, remaining up-to-date on
industry and organization trends for educated strategy development and committing to
fundraising as well as encouraging your colleagues to do the same.
Among these the most important criticism is Lack of expertise because it hampers the company
as a whole..

A. Describe an organizations various stakeholders and their differ.pdf

A. Describe an organization\'s various stakeholders and their different interests (3 principal types
and the stakeholders under each type)
B. Under what condition can the firm most easily satisfy all stakeholders?
C. If the firm cannot satisfy all stakeholders, which ones must it satisfy in order to survive?
Solution
A stakeholder of a company is an individual or/ and a group who may affect or be affected by the
actions of a business. The concept was first introduced in 1963 memorandum in the Stanford
Research Institute. It defined the stakeholders as \"those groups minus whose support the
organization will cease to exist. \"
In the latter decades of the 20th century, the word \"stakeholder\" is commonly used to refer to a
person or group that has a legitimate interest in a project or in an entity. In talking about the
decision-making process for institutions.

A. Characterized by a family of distibution, where each distibution .pdf

This document discusses a family of distributions characterized by two degrees of freedom, with the distribution becoming more symmetric as the numerator and denominator degrees of freedom increase. The distribution is positively skewed with values ranging from 0 to infinity, and the degrees of freedom have a Poisson distribution.

a. An economy is initially at the natural level of output. There is .pdf

a. An economy is initially at the natural level of output. There is an increase in government
spending. Use the IS
Solution
B.) Impact of Short Run and Long Run results on Inflation Bias and Other Problems of Policy
Formulation
Problems of policy formulation:
Inflation bias.

a. All internal auditors need at least a baseline level of IT audit-.pdf

a. All internal auditors need at least a baseline level of IT audit-related expertise.
1. Identify six specific IT-related competencies (that is, knowledge and skills) that all entry-level
internal auditors should possess.
2. Discuss how a college student can begin to develop the knowledge and skills identified in
number 1. above.
b. Must all internal auditors have the level of IT audit-related expertise expected of an IT
auditor? Explain.
Solution
a)
1)
Six specific IT-related competencies are as follows:
Security adminstration
Access controls at net work
Operating system
Database and
Application levels
2)
They will get to knowon their engagement to internal audit.
b)
Yes, the internal auditors must have IT audit-related expertise for proper adminstration..

a. 2 b. 8.03 c. 8.24 d. 8.33 e. 8.42 f. 20 Find the Effect.pdf

a. 2% b. 8.03% c. 8.24% d. 8.33% e. 8.42% f. 20% Find the Effective Annual Yield (EAY) of an
investment that pays 8% compounded continuously.
Solution
EAY for interest rate r continously compounding = = e^r -1 = e^8% -1 = e^0.08 -
1 = 8.328 %.

a. 0.431b. 2.154c. 4.512d. 6.512e. 17.408I understand that.pdf

a. 0.431
b. 2.154
c. 4.512
d. 6.512
e. 17.408
I understand that you have to integrate the v(t) function, i just cant seem to integrate it... like at
all. so if you could keep it simple and not involve any inverse hyperbolic sine stuff etc and keep
it at Calc AB level. simple :) much appreciated
Solution
d. 6.512 The distance traveled is 2 + ?(³v1+t²) [from t = 0 to t = 3] = 2 + 4.51153....

A) What is the probability that A occursB)What is the probability.pdf

A) What is the probability that A occurs?
B)What is the probability that B2 occurs?
C)What is the probability that Ac and B4 occur?
d) What is the probability that A or B3 occurs?
e) Given that B2 has occurred, what is the probability that A occurs?
f) Given that A has occurred, what is the probability that B4 occurs?
PLEASE SHOW ALLL WORK!!!!
e) Given that B2 has occurred, what is the probability that A occurs?
f) Given that A has occurred, what is the probability that B4 occurs?
PLEASE SHOW ALLL WORK!!!! Consider the following joint probability table.
Solution
(a) P(A occurs) =0.1+0.09+0.17+0.09 =0.45
(b) P(B2 occurs) =0.09+0.21 =0.3
(c) P(Ac and B4 occur) =0.16
(d) P( A or B3 occurs) = P(A occurs) +P(B3 occurs) - P(A and B3 occur) = 0.45+0.17+0.09-0.17
=0.54
(e) P(A occurs | B2 has occurred) = P(A and B2 occurred) / P(B2 occurred)
=0.09/0.3 =0.3
(f) P( B4 occurs | A has occurred) = P(A and B4 occurred)/ P(A occurred)
=0.09/0.45
=0.2.

a)Write a brief summary ofAl-Kashicontributions in Algebra and T.pdf

Al-Kashi made significant contributions to algebra and trigonometry in the 15th century. He was the first to explicitly state the law of cosines, useful for triangulation. He also calculated pi more accurately in his famous Treatise on the Circumference completed in 1424.

a) What is the degree of vertex Q b) What is the degree o.pdf

a) What is the degree of vertex Q ?
b) What is the degree of vertex R ?
c) How many components does the graph have ?
Solution
a) OQ , QR , QT , QV as it is attached to 4 other vertices - degree - 4 b) QR ,RS
,RV it is attached to 3 vertices degree = 3 c) i did not get the meaning of component.

A. Given the following information about the increase in revenue for.pdf

A. Given the following information about the increase in revenue for.pdf

a. primary datab. explanatory datac. secondary datad. pilot da.pdf

a. primary datab. explanatory datac. secondary datad. pilot da.pdf

A. the interval includes zero. B. the interval does NOT include ze.pdf

A. the interval includes zero. B. the interval does NOT include ze.pdf

a. Suppose Z is Normally distributed (0,1). What value of z makes t.pdf

a. Suppose Z is Normally distributed (0,1). What value of z makes t.pdf

A. Strong trend that indicates business growth. B. A lack of an ad.pdf

A. Strong trend that indicates business growth. B. A lack of an ad.pdf

a. Operationalizationb. Data entryc. Editingd. Measuremente..pdf

a. Operationalizationb. Data entryc. Editingd. Measuremente..pdf

A. No since the D-W statistics is below 2.5. B. No since the VIFs .pdf

A. No since the D-W statistics is below 2.5. B. No since the VIFs .pdf

A. have become more pronounced than in previous periods. B. have b.pdf

A. have become more pronounced than in previous periods. B. have b.pdf

a. Explain the evolution of corporate governance. What problems deve.pdf

a. Explain the evolution of corporate governance. What problems deve.pdf

A. Describe an organizations various stakeholders and their differ.pdf

A. Describe an organizations various stakeholders and their differ.pdf

A. Characterized by a family of distibution, where each distibution .pdf

A. Characterized by a family of distibution, where each distibution .pdf

a. An economy is initially at the natural level of output. There is .pdf

a. An economy is initially at the natural level of output. There is .pdf

a. All internal auditors need at least a baseline level of IT audit-.pdf

a. All internal auditors need at least a baseline level of IT audit-.pdf

a. 2 b. 8.03 c. 8.24 d. 8.33 e. 8.42 f. 20 Find the Effect.pdf

a. 2 b. 8.03 c. 8.24 d. 8.33 e. 8.42 f. 20 Find the Effect.pdf

a. 0.431b. 2.154c. 4.512d. 6.512e. 17.408I understand that.pdf

a. 0.431b. 2.154c. 4.512d. 6.512e. 17.408I understand that.pdf

A) What is the probability that A occursB)What is the probability.pdf

A) What is the probability that A occursB)What is the probability.pdf

a)Write a brief summary ofAl-Kashicontributions in Algebra and T.pdf

a)Write a brief summary ofAl-Kashicontributions in Algebra and T.pdf

a) What is the degree of vertex Q b) What is the degree o.pdf

a) What is the degree of vertex Q b) What is the degree o.pdf

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Lecture_Notes_Unit4_Chapter_8_9_10_RDBMS for the students affiliated by alaga...

Title: Relational Database Management System Concepts(RDBMS)
Description:
Welcome to the comprehensive guide on Relational Database Management System (RDBMS) concepts, tailored for final year B.Sc. Computer Science students affiliated with Alagappa University. This document covers fundamental principles and advanced topics in RDBMS, offering a structured approach to understanding databases in the context of modern computing. PDF content is prepared from the text book Learn Oracle 8I by JOSE A RAMALHO.
Key Topics Covered:
Main Topic : DATA INTEGRITY, CREATING AND MAINTAINING A TABLE AND INDEX
Sub-Topic :
Data Integrity,Types of Integrity, Integrity Constraints, Primary Key, Foreign key, unique key, self referential integrity,
creating and maintain a table, Modifying a table, alter a table, Deleting a table
Create an Index, Alter Index, Drop Index, Function based index, obtaining information about index, Difference between ROWID and ROWNUM
Target Audience:
Final year B.Sc. Computer Science students at Alagappa University seeking a solid foundation in RDBMS principles for academic and practical applications.
About the Author:
Dr. S. Murugan is Associate Professor at Alagappa Government Arts College, Karaikudi. With 23 years of teaching experience in the field of Computer Science, Dr. S. Murugan has a passion for simplifying complex concepts in database management.
Disclaimer:
This document is intended for educational purposes only. The content presented here reflects the author’s understanding in the field of RDBMS as of 2024.
Feedback and Contact Information:
Your feedback is valuable! For any queries or suggestions, please contact muruganjit@agacollege.in

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- 1. a. State the hypothesis and identify the claim b. Find the critical vaules(s) c. Compute the test value. d. Make the decision. e. Summarize the results. Based on the following data showing the numbers of people (in thousands) with and without health insurance, can it be concluded at the 0.01 level of significance that the proportion with or without health insurance is related to the state chosen? With Without Arkansas 522 123 Montana 793 146 North Dakota 553 61 Wyoming 447 70 Solution a. State the hypothesis and identify the claim Ho: the proportion with or without health insurance is not related to the state chosen Ha: the proportion with or without health insurance is related to the state chosen b. Find the critical vaules(s) Given a=0.01, the critical value is Chisquare with 0.99, df=3 is 11.34 (from chisquare table)
- 2. c. Compute the test value. Chisquare = 21.992 d. Make the decision. Since 21.992 is larger than 11.34, we reject Ho. e. Summarize the results. We can conclude that the proportion with or without health insurance is related to the state chosen