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Second Course in Statistics Regression Analysis 7th Edition Mendenhall Solutions Manual
Solution to the practice test ch 10 correlation reg ch 11 gof ch12 anovaLong Beach City College
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Elementary Statistics Practice Test 5
Module 5
Chapter 10: Correlation and Regression
Chapter 11: Goodness of Fit and Contingency Tables
Chapter 12: Analysis of Variance
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Chapter 4: Probability
4.3: Complements and Conditional Probability, and Bayes' Theorem
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Chapter 6: Normal Probability Distribution
6.2: Real Applications of Normal Distributions
Solution to the practice test ch 10 correlation reg ch 11 gof ch12 anovaLong Beach City College
Please Subscribe to this Channel for more solutions and lectures
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Elementary Statistics Practice Test 5
Module 5
Chapter 10: Correlation and Regression
Chapter 11: Goodness of Fit and Contingency Tables
Chapter 12: Analysis of Variance
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 4: Probability
4.3: Complements and Conditional Probability, and Bayes' Theorem
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 6: Normal Probability Distribution
6.2: Real Applications of Normal Distributions
1. US Census statistics show that college graduates make more than $.docxelliotkimberlee
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.
As mentioned earlier, the mid-term will have conceptual and quanti.docxfredharris32
As mentioned earlier, the mid-term will have conceptual and quantitative multiple-choice questions. You need to read all 4 chapters and you need to be able to solve problems in all 4 chapters in order to do well in this test.
The following are for review and learning purposes only. I am not indicating that identical or similar problems will be in the test. As I have indicated in the class syllabus, all the exams in this course will have multiple-choice questions and problems.
Suggestion: treat this review set as you would an actual test. Sit down with your one page of notes and your calculator, and give it a try. That way you will know what areas you still need to study.
ADMN 210
Answers to Review for Midterm #1
1) Classify each of the following as nominal, ordinal, interval, or ratio data.
a. The time required to produce each tire on an assembly line – ratio since it is numeric with a valid 0 point meaning “lack of”
b. The number of quarts of milk a family drinks in a month - ratio since it is numeric with a valid 0 point meaning “lack of”
c. The ranking of four machines in your plant after they have been designated as excellent, good, satisfactory, and poor – ordinal since it is ranking data only
d. The telephone area code of clients in the United States – nominal since it is a label
e. The age of each of your employees - ratio since it is numeric with a valid 0 point meaning “lack of”
f. The dollar sales at the local pizza house each month - ratio since it is numeric with a valid 0 point meaning “lack of”
g. An employee’s identification number – nominal since it is a label
h. The response time of an emergency unit - ratio since it is numeric with a valid 0 point meaning “lack of”
2) True or False: The highest level of data measurement is the ratio-level measurement.
True (you can do the most powerful analysis with this kind of data)
3) True or False: Interval- and ratio-level data are also referred to as categorical data.
False (Interval and ratio level data are numeric and therefore quantitative, NOT qualitative….Nominal is qualitative)
4) A small portion or a subset of the population on which data is collected for conducting statistical analysis is called __________.
A sample! A population is the total group, a census IS the population, and a data set can be either a sample or a population.
5) One of the advantages for taking a sample instead of conducting a census is this:
a sample is more accurate than census
a sample is difficult to take
a sample cannot be trusted
a sample can save money when data collection process is destructive
6) Selection of the winning numbers is a lottery is an example of __________.
convenience sampling
random sampling
nonrandom sampling
regulatory sampling
7) A type of random sampling in which the population is divided into non-overlapping subpopulations is called __________.
stratified random sampling
cluster sampling
systematic random sampling
regulatory sampling
8) A ...
Points: 250
Assignment 3:Biggest Challenges Facing Organizations in the Next 20 Years
Criteria
Unacceptable
Below 60% F
Meets Minimum Expectations
60-69% D
Fair
70-79% C
Proficient
80-89% B
Exemplary
90-100% A
1. Provide a title slide followed by a slide with an introduction to your presentation.
Weight: 5%
Did not submit or incompletely provided a title slide followed by a slide with an introduction to your presentation.
Insufficiently provided a title slide followed by a slide with an introduction to your presentation.
Partially provided a title slide followed by a slide with an introduction to your presentation.
Satisfactorily provided a title slide followed by a slide with an introduction to your presentation.
Thoroughly provided a title slide followed by a slide with an introduction to your presentation.
2. Presentation should include your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Only include one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides. Weight: 50%
Did not submit or incompletely included your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Did not submit or incompletely included one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides.
Insufficiently included your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Insufficiently included one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides.
Partially included your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Partially included one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides.
Satisfactorily included your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Satisfactorily included one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides.
Thoroughly included your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Satisfactorily included one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides.
3. Provide one (1) summary slide which addresses key points of your paper.
Weight: 5%
Did not submit or incompletely provided one (1) summary slide which addresses key points of your paper.
Insufficiently provided one (1) summary slide which addresses key points of your paper.
Partially provided one (1) summary slide which addresses key points of your paper.
Satisfactorily provided one (1) summary slide which addresses key points of your paper.
Thoroughly provided one (1) summary slide which addresses key points of your paper.
4. Narrate each slide,.
Statistics
Summer 2019
Name: Cindy Charles
Multiple choice section:
1. A researcher is interested in studying the eating behavior of a rats and selects a group of 25 rats to be tested in a research study. The group of 25 rates is an example of a
a. sample
.
b. statistic
c. population
d. parameter
2. A researcher uses an anonymous survey to investigate the study habits of the American college students. The entire group of American college students is an example of a
a. sample
.
b. statistic
c. population
d. parameter
3. A characteristic, usually a numerical value, that describes a sample is called a
a. sample
.
b. statistic
c. population
d. parameter
4. Determining the class standing for the graduating seniors at a high school would involve measurement on a(n) ____________ scale of measurement.
a. nominal
.
b. ordinal
c. interval
d. ratio
5. A researcher conducts a study to determine whether moderate doses of St. John’s Wort have any effect on memory in college students. For this study, with is the independent variable?
a. the amount of St. John’s Wort given to each participant.
b. the memory score for each participant
c. the group of college students
d. cannot answer without more information.
6. When we are interested in simply looking at the association or relationship between two contiguous variables as they exist naturally , the following research method is likely to be helpful:
a. correlational
b. experimental
c. quasi-experimental
d. non-parametric
7. In an experiment looking at the effect of eating varied levels of multiple portions of ice cream, daily, on blood serum cholesterol levels (HDL)
a. eating ice cream is the independent variable (IV) and HDL is the dependent variable (DV).
b. ice cream, the DV and HDL, the IV
c. neither, this is a correlational study
d. ice cream and HDL are both independent variables
8. “Girl, boy, girl, girl, boy, boy, boy, girl. So, there’s 4 girls and 4 boys.” Our enumerator is employing which of the following scales
a. ratio
b. sex differential
c. interval
d. nominal
9. “I came in first place in the “Best Statistics Professor” category. That clearly shows I am much better at this than most other professors on campus.”
a. This is a reasonable conclusion, since first place in Statistics must be a higher rating than, say, third place in Multicultural Education.
b. The speaker mistakenly attributes arithmetic characteristics to ordinal data.
c. The statement has absolutely no meaning, since we do not know the number of other professors on campus or teaching statistics. It represents an example of the absolute or ratio scale.
d. The interval scale applies here, because voters used a relative standar.
Part 1 Please circle the correct answer.1. Which of t.docxherbertwilson5999
Part 1: Please circle the correct answer.
1. Which of the following is most sensitive to outliers?
a. interquartile range b.standard deviation. c. median
d. mode
2. James and George took a math exam. George’s percentile score on the exam was 80; James’s
percentile score was 40 on the same test. We know that
a) George correctly answered twice as many questions than James. b) They both scored better than 40 of their classmates.
c) George correctly answered more questions than James. d) James did not pass the test.
3. Find the mean and standard deviation for a binomial experiment where n 260,
p 0.675 .
a) 260 , b) 260 ,
7.55
57.04
c) 175.50 ,
7.55
d) 97.50 ,
e) 175.50 ,
13.25
9.19
4. If we were to create a box plot, which of the following statement(s) would be true?
A. The median would be located somewhere within the box.
B. The median value would be larger than the third quartile value (Q3) C. The median would always be centered in the middle of the box.
D. The median would indicate where the 50th percentile would be.
a) A and B
b) All of them. c) A and D
d) C and D.
e) None of them.
5. Which of these statements are false?
a. There is a strong linear relationship between gender and height because we found a correlation of .55.
b. Plant height and leaf height were found to be negatively correlated because the correlation coefficient is -1.41.
c. Since the correlation between X and Y is 0, this means there is no relationship whatsoever between these two variables.
d. All of the above.
e. None of the above.
6. Some methods may be used to make a confidence interval wider or narrower. Circle the two
methods that would decrease the width of a confidence interval for a mean, if all else stays the same.
a. Increase the sample size. b. decrease the sample size.
c. increase the level of confidence. d. decrease the level of confidence.
7. Two researchers are going to take a sample of data from the same population of physics students. Researcher A will select a random sample of students from among all students taking physics. Researcher B's sample will consist only of the students in her class. Both researchers will construct a 95% confidence interval for the mean score on the physics final exam using their own sample data. Which researcher's method has a 95% chance of capturing the true mean of the population of all students taking physics?
a. Both methods have a 95% chance of capturing the true mean b. Researcher A
c. Research B
d. Neither
8. A 98% confidence interval indicates that:
a. 98% of the intervals constructed using this process based on samples from this population will include the population mean
b. 98% of the time the interval will include the sample mean
c. 98% of the possible population means will be included by the interval
9. A one-tailed hypothesis test is performed using a 0.10 level of significance. .
Data.txt
Patient_number Disease_duration Improvement
1 1 40
2 1 90
3 3 30
4 2 30
5 1 80
6 5 60
7 1 10
8 4 -10
9 2 50
10 6 40
11 1 60
12 4 0
13 2 50
14 2 100
15 3 20
16 3 70
17 5 -30
18 3 20
19 1 40
20 6 0
Question.docx
· PLEASE ANSWER QUESTIONS FROM (a) to (f)
· PLEASE USE R STATISTICAL SOFTWARE TO ANSWER ALL QUESTIONS. NO MANUAL CALCULATION ANYWHERE.
· INCLUDE ALL THE NECESSARY CODES
· INCLUDE ONLY THE RELEVANT OUTPUTS FROM THE SOFTWARE.
· ALL PLOTS SHOULD BE PROPERLY LABELLED. (X-AXIS, Y-AXIS, TITLE, ETC.).
· PLEASE GIVE PROPER EXPLANATION FOR THE STEPS AND CONCLUSIONS WHEREVER APPLICABLE
Anti-Anginal Response against Disease History
Treadmill stress tests were applied to patients with angina pectoris before and 4 weeks after once-daily dosing with an experimental anti-anginal medication. The main objective for carrying out this study is to check if the improvement in exercise duration is dependent on the patient’s disease history. This data file represents the disease duration time (in years) since initial diagnosis and percent-improvement in treadmill walking times.
QUESTIONS :
(a) Identify the response and the explanatory variables with proper reasoning
(b) Check graphically if the dependency between “improvement” and “disease duration time” can be considered to be linear.
(c) Now, use a formal test of hypothesis to check for the linear relationship in part (b) and draw appropriate conclusion
(d) How does the disease duration effect the percentage improvement in exercise duration
(e) What assumption did you make to carry out the testing in part (c). Is there any other assumptions required to formulate a linear model for “improvement” and “disease duration time”
(f) Check all the model assumptions made in part (d) graphically and comment on the violation or non violation of the model assumptions with proper reasoning
Patient_number Disease_duration Improvement
1 1 40
2 1 90
3 3 30
4 2 30
5 1 80
6 5 60
7 1 10
8 4 -10
9 2 50
10 6 40
11 1 60
12 4 0
13 2 50
14 2 .
Mathematical Statistics with Applications in R 2nd Edition Ramachandran Solut...Alvaradoree
Full download : http://alibabadownload.com/product/mathematical-statistics-with-applications-in-r-2nd-edition-ramachandran-solutions-manual/ Mathematical Statistics with Applications in R 2nd Edition Ramachandran Solutions Manual
For these problems, please use Excel to show your work, and submit.docxtemplestewart19
For these problems, please use Excel to show your work, and submit the Excel spreadsheet along with your completed assignment.
Find the point estimate of the population mean and the margin of error for a 90% confidence interval for the following drive times (in minutes) for commuters to a college.
35
40
47
22
17
19
36
44
65
55
22
23
16
46
44
38
29
22
37
16
8
15
27
41
45
17
11
45
63
17
28
19
64
55
53
50
Answer:
X
=
S
=
1231
= 34.1 Sample Mean
n
36
Use the results from the above data (#1) and determine the minimum survey size that is necessary to be 95% confident that the sample mean drive time is within 10 minutes of the actual mean commuting time.
In a random sample of 35 tractors, the annual cost of maintenance was $4,425 and the standard deviation was $775. Construct a 90% confidence interval for this. Assume the annual maintenance costs are normally distributed.
Answer:
90% = mean ± 1.645 SEm
SEm = SD/√n
I used the table in the back of my statistics text labeled "areas under normal distribution" to find the proportion/probability (±5%) to get Z = 1.645. I assume that you have a similar table available.
The following data represents the number of points scored by players on a high school basketball team this season.
Player 1
68
Player 6
128
Player 2
82
Player 7
66
Player 3
145
Player 8
54
Player 4
111
Player 9
221
Player 5
97
Player 10
99
Find the sample mean and the sample standard deviation.
Answer:
Sample Mean
1071
= 107.1
Sample Standard Deviation S = 3.16
10
Construct a 90% confidence interval for the population mean and interpret the results. Assume the population of the data set is normally distributed.
For the following statements, state the null and alternative hypotheses and identify which represents the claim. Determine when a type I or type II error occurs for a hypothesis test of the claim. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed, and explain your reasoning. Explain how you should interpret a decision that rejects the null hypothesis. Explain how you would interpret a decision that fails to reject the null hypothesis.
It is reported that the number of residents in Wisconsin who support plans to recall the governor is 48%.
An Amish bakery store states that the average shelf life of their fresh baked goods is seven days.
A soda manufacturer states that the average number of calories in the regular soda is less than 150 calories per serving.
The census figures show that the average income for a family in a rural region is approximately $34,860 per year. A random sample has a mean income of $33,566 per year, with a standard deviation of $1,245. At a sig. level of .0.01 is there enough evidence to reject the claim? Explain.
An advertising firm claims that the average expenditure for advertising for their customers is at least $12,500.
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 .
Part 1 of 16 - Question 1 of 231.0 PointsThe data pres.docxherbertwilson5999
Part 1 of 16 -
Question 1 of 23
1.0 Points
The data presented in the table below resulted from an experiment in which seeds of 5 different types were planted and the number of seeds that germinated within 5 weeks after planting was recorded for each seed type. At the .01 level of significance, is the proportion of seeds that germinate dependent on the seed type?
Seed Type
Observed Frequencies
Germinated
Failed to Germinate
1
31
7
2
57
33
3
87
60
4
52
44
5
10
19
A.Yes, because the test value 16.86 is greater than the critical value of 13.28
B.Yes, because the test value 16.86 is less than the critical value of 14.86
C.No, because the test value 16.86 is greater than the critical value of 13.28
D.No, because the test value 13.28 is less than the critical value of 16.86
Reset Selection
Question 2 of 23
1.0 Points
The chi-square goodness-of-fit test can be used to test for:
A.significance of sample statistics
B.normality
C.difference between population variances
D.difference between population means
Reset Selection
Part 2 of 16 -
Question 3 of 23
1.0 Points
The marketing manager of a large supermarket chain would like to use shelf space to predict the sales of pet food. For a random sample of 12 similar stores, she gathered the following information regarding the shelf space, in feet, devoted to pet food and the weekly sales in hundreds of dollars.
Store
1
2
3
4
5
6
Shelf Space
5
5
5
10
10
10
Weekly Sales
1.6
2.2
1.4
1.9
2.4
2.6
Store
7
8
9
10
11
12
Shelf Space
15
15
15
20
20
20
Weekly Sales
2.3
2.7
2.8
2.6
2.9
3.1
What is the estimated regression equation?
A. = 1.45 + 0.074x
B. = 2.63 - 0.174x
C. = 2.63 + 0.724x
D. = 1.45 + 0.724x
Reset Selection
Question 4 of 23
1.0 Points
A single variable X can explain a large percentage of the variation in some other variable Y when the two variables are:
A.highly correlated
B.directly related
C.inversely related
D.mutually exclusive
Reset Selection
Question 5 of 23
1.0 Points
Data for a sample of 25 apartments in a particular neighborhood are provided in the worksheet Apartments in the Excel workbook Apartments.xlsx. Using that data, find the estimated regression equation which can be used to estimate the monthly rent for apartments in this neighborhood using size as the predictor variable.
Apartments.xlsx
A. 177.12 + 1.065(size)
B.177.12 + 0.8500(size)
C.1.065 + 177.12(size)
D.197.12 + 2.065(size)
Reset Selection
Part 3 of 16 -
Question 6 of 23
1.0 Points
A pharmaceutical company is testing the effectiveness of a new drug for lowering cholesterol. As part of this trial, they wish to determine whether there is a difference between the effectiveness for women and for men. Assume α = 0.05. What is the test value?
Women
Men
Sample size
50
80
Mean effect
7
6.95
Sample variance
3
4
A.t = 3.252
B.t = 0.151
C.z = 0.081
D.z = 0.455
Reset Selection
Question 7 of 23
.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
1. US Census statistics show that college graduates make more than $.docxelliotkimberlee
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.
As mentioned earlier, the mid-term will have conceptual and quanti.docxfredharris32
As mentioned earlier, the mid-term will have conceptual and quantitative multiple-choice questions. You need to read all 4 chapters and you need to be able to solve problems in all 4 chapters in order to do well in this test.
The following are for review and learning purposes only. I am not indicating that identical or similar problems will be in the test. As I have indicated in the class syllabus, all the exams in this course will have multiple-choice questions and problems.
Suggestion: treat this review set as you would an actual test. Sit down with your one page of notes and your calculator, and give it a try. That way you will know what areas you still need to study.
ADMN 210
Answers to Review for Midterm #1
1) Classify each of the following as nominal, ordinal, interval, or ratio data.
a. The time required to produce each tire on an assembly line – ratio since it is numeric with a valid 0 point meaning “lack of”
b. The number of quarts of milk a family drinks in a month - ratio since it is numeric with a valid 0 point meaning “lack of”
c. The ranking of four machines in your plant after they have been designated as excellent, good, satisfactory, and poor – ordinal since it is ranking data only
d. The telephone area code of clients in the United States – nominal since it is a label
e. The age of each of your employees - ratio since it is numeric with a valid 0 point meaning “lack of”
f. The dollar sales at the local pizza house each month - ratio since it is numeric with a valid 0 point meaning “lack of”
g. An employee’s identification number – nominal since it is a label
h. The response time of an emergency unit - ratio since it is numeric with a valid 0 point meaning “lack of”
2) True or False: The highest level of data measurement is the ratio-level measurement.
True (you can do the most powerful analysis with this kind of data)
3) True or False: Interval- and ratio-level data are also referred to as categorical data.
False (Interval and ratio level data are numeric and therefore quantitative, NOT qualitative….Nominal is qualitative)
4) A small portion or a subset of the population on which data is collected for conducting statistical analysis is called __________.
A sample! A population is the total group, a census IS the population, and a data set can be either a sample or a population.
5) One of the advantages for taking a sample instead of conducting a census is this:
a sample is more accurate than census
a sample is difficult to take
a sample cannot be trusted
a sample can save money when data collection process is destructive
6) Selection of the winning numbers is a lottery is an example of __________.
convenience sampling
random sampling
nonrandom sampling
regulatory sampling
7) A type of random sampling in which the population is divided into non-overlapping subpopulations is called __________.
stratified random sampling
cluster sampling
systematic random sampling
regulatory sampling
8) A ...
Points: 250
Assignment 3:Biggest Challenges Facing Organizations in the Next 20 Years
Criteria
Unacceptable
Below 60% F
Meets Minimum Expectations
60-69% D
Fair
70-79% C
Proficient
80-89% B
Exemplary
90-100% A
1. Provide a title slide followed by a slide with an introduction to your presentation.
Weight: 5%
Did not submit or incompletely provided a title slide followed by a slide with an introduction to your presentation.
Insufficiently provided a title slide followed by a slide with an introduction to your presentation.
Partially provided a title slide followed by a slide with an introduction to your presentation.
Satisfactorily provided a title slide followed by a slide with an introduction to your presentation.
Thoroughly provided a title slide followed by a slide with an introduction to your presentation.
2. Presentation should include your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Only include one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides. Weight: 50%
Did not submit or incompletely included your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Did not submit or incompletely included one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides.
Insufficiently included your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Insufficiently included one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides.
Partially included your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Partially included one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides.
Satisfactorily included your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Satisfactorily included one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides.
Thoroughly included your choice of the five (5) challenges you believe organizations will face in the next twenty (20) years. Satisfactorily included one (1) challenge and your explanation for choosing that challenge per slide for a total of five (5) slides.
3. Provide one (1) summary slide which addresses key points of your paper.
Weight: 5%
Did not submit or incompletely provided one (1) summary slide which addresses key points of your paper.
Insufficiently provided one (1) summary slide which addresses key points of your paper.
Partially provided one (1) summary slide which addresses key points of your paper.
Satisfactorily provided one (1) summary slide which addresses key points of your paper.
Thoroughly provided one (1) summary slide which addresses key points of your paper.
4. Narrate each slide,.
Statistics
Summer 2019
Name: Cindy Charles
Multiple choice section:
1. A researcher is interested in studying the eating behavior of a rats and selects a group of 25 rats to be tested in a research study. The group of 25 rates is an example of a
a. sample
.
b. statistic
c. population
d. parameter
2. A researcher uses an anonymous survey to investigate the study habits of the American college students. The entire group of American college students is an example of a
a. sample
.
b. statistic
c. population
d. parameter
3. A characteristic, usually a numerical value, that describes a sample is called a
a. sample
.
b. statistic
c. population
d. parameter
4. Determining the class standing for the graduating seniors at a high school would involve measurement on a(n) ____________ scale of measurement.
a. nominal
.
b. ordinal
c. interval
d. ratio
5. A researcher conducts a study to determine whether moderate doses of St. John’s Wort have any effect on memory in college students. For this study, with is the independent variable?
a. the amount of St. John’s Wort given to each participant.
b. the memory score for each participant
c. the group of college students
d. cannot answer without more information.
6. When we are interested in simply looking at the association or relationship between two contiguous variables as they exist naturally , the following research method is likely to be helpful:
a. correlational
b. experimental
c. quasi-experimental
d. non-parametric
7. In an experiment looking at the effect of eating varied levels of multiple portions of ice cream, daily, on blood serum cholesterol levels (HDL)
a. eating ice cream is the independent variable (IV) and HDL is the dependent variable (DV).
b. ice cream, the DV and HDL, the IV
c. neither, this is a correlational study
d. ice cream and HDL are both independent variables
8. “Girl, boy, girl, girl, boy, boy, boy, girl. So, there’s 4 girls and 4 boys.” Our enumerator is employing which of the following scales
a. ratio
b. sex differential
c. interval
d. nominal
9. “I came in first place in the “Best Statistics Professor” category. That clearly shows I am much better at this than most other professors on campus.”
a. This is a reasonable conclusion, since first place in Statistics must be a higher rating than, say, third place in Multicultural Education.
b. The speaker mistakenly attributes arithmetic characteristics to ordinal data.
c. The statement has absolutely no meaning, since we do not know the number of other professors on campus or teaching statistics. It represents an example of the absolute or ratio scale.
d. The interval scale applies here, because voters used a relative standar.
Part 1 Please circle the correct answer.1. Which of t.docxherbertwilson5999
Part 1: Please circle the correct answer.
1. Which of the following is most sensitive to outliers?
a. interquartile range b.standard deviation. c. median
d. mode
2. James and George took a math exam. George’s percentile score on the exam was 80; James’s
percentile score was 40 on the same test. We know that
a) George correctly answered twice as many questions than James. b) They both scored better than 40 of their classmates.
c) George correctly answered more questions than James. d) James did not pass the test.
3. Find the mean and standard deviation for a binomial experiment where n 260,
p 0.675 .
a) 260 , b) 260 ,
7.55
57.04
c) 175.50 ,
7.55
d) 97.50 ,
e) 175.50 ,
13.25
9.19
4. If we were to create a box plot, which of the following statement(s) would be true?
A. The median would be located somewhere within the box.
B. The median value would be larger than the third quartile value (Q3) C. The median would always be centered in the middle of the box.
D. The median would indicate where the 50th percentile would be.
a) A and B
b) All of them. c) A and D
d) C and D.
e) None of them.
5. Which of these statements are false?
a. There is a strong linear relationship between gender and height because we found a correlation of .55.
b. Plant height and leaf height were found to be negatively correlated because the correlation coefficient is -1.41.
c. Since the correlation between X and Y is 0, this means there is no relationship whatsoever between these two variables.
d. All of the above.
e. None of the above.
6. Some methods may be used to make a confidence interval wider or narrower. Circle the two
methods that would decrease the width of a confidence interval for a mean, if all else stays the same.
a. Increase the sample size. b. decrease the sample size.
c. increase the level of confidence. d. decrease the level of confidence.
7. Two researchers are going to take a sample of data from the same population of physics students. Researcher A will select a random sample of students from among all students taking physics. Researcher B's sample will consist only of the students in her class. Both researchers will construct a 95% confidence interval for the mean score on the physics final exam using their own sample data. Which researcher's method has a 95% chance of capturing the true mean of the population of all students taking physics?
a. Both methods have a 95% chance of capturing the true mean b. Researcher A
c. Research B
d. Neither
8. A 98% confidence interval indicates that:
a. 98% of the intervals constructed using this process based on samples from this population will include the population mean
b. 98% of the time the interval will include the sample mean
c. 98% of the possible population means will be included by the interval
9. A one-tailed hypothesis test is performed using a 0.10 level of significance. .
Data.txt
Patient_number Disease_duration Improvement
1 1 40
2 1 90
3 3 30
4 2 30
5 1 80
6 5 60
7 1 10
8 4 -10
9 2 50
10 6 40
11 1 60
12 4 0
13 2 50
14 2 100
15 3 20
16 3 70
17 5 -30
18 3 20
19 1 40
20 6 0
Question.docx
· PLEASE ANSWER QUESTIONS FROM (a) to (f)
· PLEASE USE R STATISTICAL SOFTWARE TO ANSWER ALL QUESTIONS. NO MANUAL CALCULATION ANYWHERE.
· INCLUDE ALL THE NECESSARY CODES
· INCLUDE ONLY THE RELEVANT OUTPUTS FROM THE SOFTWARE.
· ALL PLOTS SHOULD BE PROPERLY LABELLED. (X-AXIS, Y-AXIS, TITLE, ETC.).
· PLEASE GIVE PROPER EXPLANATION FOR THE STEPS AND CONCLUSIONS WHEREVER APPLICABLE
Anti-Anginal Response against Disease History
Treadmill stress tests were applied to patients with angina pectoris before and 4 weeks after once-daily dosing with an experimental anti-anginal medication. The main objective for carrying out this study is to check if the improvement in exercise duration is dependent on the patient’s disease history. This data file represents the disease duration time (in years) since initial diagnosis and percent-improvement in treadmill walking times.
QUESTIONS :
(a) Identify the response and the explanatory variables with proper reasoning
(b) Check graphically if the dependency between “improvement” and “disease duration time” can be considered to be linear.
(c) Now, use a formal test of hypothesis to check for the linear relationship in part (b) and draw appropriate conclusion
(d) How does the disease duration effect the percentage improvement in exercise duration
(e) What assumption did you make to carry out the testing in part (c). Is there any other assumptions required to formulate a linear model for “improvement” and “disease duration time”
(f) Check all the model assumptions made in part (d) graphically and comment on the violation or non violation of the model assumptions with proper reasoning
Patient_number Disease_duration Improvement
1 1 40
2 1 90
3 3 30
4 2 30
5 1 80
6 5 60
7 1 10
8 4 -10
9 2 50
10 6 40
11 1 60
12 4 0
13 2 50
14 2 .
Mathematical Statistics with Applications in R 2nd Edition Ramachandran Solut...Alvaradoree
Full download : http://alibabadownload.com/product/mathematical-statistics-with-applications-in-r-2nd-edition-ramachandran-solutions-manual/ Mathematical Statistics with Applications in R 2nd Edition Ramachandran Solutions Manual
For these problems, please use Excel to show your work, and submit.docxtemplestewart19
For these problems, please use Excel to show your work, and submit the Excel spreadsheet along with your completed assignment.
Find the point estimate of the population mean and the margin of error for a 90% confidence interval for the following drive times (in minutes) for commuters to a college.
35
40
47
22
17
19
36
44
65
55
22
23
16
46
44
38
29
22
37
16
8
15
27
41
45
17
11
45
63
17
28
19
64
55
53
50
Answer:
X
=
S
=
1231
= 34.1 Sample Mean
n
36
Use the results from the above data (#1) and determine the minimum survey size that is necessary to be 95% confident that the sample mean drive time is within 10 minutes of the actual mean commuting time.
In a random sample of 35 tractors, the annual cost of maintenance was $4,425 and the standard deviation was $775. Construct a 90% confidence interval for this. Assume the annual maintenance costs are normally distributed.
Answer:
90% = mean ± 1.645 SEm
SEm = SD/√n
I used the table in the back of my statistics text labeled "areas under normal distribution" to find the proportion/probability (±5%) to get Z = 1.645. I assume that you have a similar table available.
The following data represents the number of points scored by players on a high school basketball team this season.
Player 1
68
Player 6
128
Player 2
82
Player 7
66
Player 3
145
Player 8
54
Player 4
111
Player 9
221
Player 5
97
Player 10
99
Find the sample mean and the sample standard deviation.
Answer:
Sample Mean
1071
= 107.1
Sample Standard Deviation S = 3.16
10
Construct a 90% confidence interval for the population mean and interpret the results. Assume the population of the data set is normally distributed.
For the following statements, state the null and alternative hypotheses and identify which represents the claim. Determine when a type I or type II error occurs for a hypothesis test of the claim. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed, and explain your reasoning. Explain how you should interpret a decision that rejects the null hypothesis. Explain how you would interpret a decision that fails to reject the null hypothesis.
It is reported that the number of residents in Wisconsin who support plans to recall the governor is 48%.
An Amish bakery store states that the average shelf life of their fresh baked goods is seven days.
A soda manufacturer states that the average number of calories in the regular soda is less than 150 calories per serving.
The census figures show that the average income for a family in a rural region is approximately $34,860 per year. A random sample has a mean income of $33,566 per year, with a standard deviation of $1,245. At a sig. level of .0.01 is there enough evidence to reject the claim? Explain.
An advertising firm claims that the average expenditure for advertising for their customers is at least $12,500.
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 .
Part 1 of 16 - Question 1 of 231.0 PointsThe data pres.docxherbertwilson5999
Part 1 of 16 -
Question 1 of 23
1.0 Points
The data presented in the table below resulted from an experiment in which seeds of 5 different types were planted and the number of seeds that germinated within 5 weeks after planting was recorded for each seed type. At the .01 level of significance, is the proportion of seeds that germinate dependent on the seed type?
Seed Type
Observed Frequencies
Germinated
Failed to Germinate
1
31
7
2
57
33
3
87
60
4
52
44
5
10
19
A.Yes, because the test value 16.86 is greater than the critical value of 13.28
B.Yes, because the test value 16.86 is less than the critical value of 14.86
C.No, because the test value 16.86 is greater than the critical value of 13.28
D.No, because the test value 13.28 is less than the critical value of 16.86
Reset Selection
Question 2 of 23
1.0 Points
The chi-square goodness-of-fit test can be used to test for:
A.significance of sample statistics
B.normality
C.difference between population variances
D.difference between population means
Reset Selection
Part 2 of 16 -
Question 3 of 23
1.0 Points
The marketing manager of a large supermarket chain would like to use shelf space to predict the sales of pet food. For a random sample of 12 similar stores, she gathered the following information regarding the shelf space, in feet, devoted to pet food and the weekly sales in hundreds of dollars.
Store
1
2
3
4
5
6
Shelf Space
5
5
5
10
10
10
Weekly Sales
1.6
2.2
1.4
1.9
2.4
2.6
Store
7
8
9
10
11
12
Shelf Space
15
15
15
20
20
20
Weekly Sales
2.3
2.7
2.8
2.6
2.9
3.1
What is the estimated regression equation?
A. = 1.45 + 0.074x
B. = 2.63 - 0.174x
C. = 2.63 + 0.724x
D. = 1.45 + 0.724x
Reset Selection
Question 4 of 23
1.0 Points
A single variable X can explain a large percentage of the variation in some other variable Y when the two variables are:
A.highly correlated
B.directly related
C.inversely related
D.mutually exclusive
Reset Selection
Question 5 of 23
1.0 Points
Data for a sample of 25 apartments in a particular neighborhood are provided in the worksheet Apartments in the Excel workbook Apartments.xlsx. Using that data, find the estimated regression equation which can be used to estimate the monthly rent for apartments in this neighborhood using size as the predictor variable.
Apartments.xlsx
A. 177.12 + 1.065(size)
B.177.12 + 0.8500(size)
C.1.065 + 177.12(size)
D.197.12 + 2.065(size)
Reset Selection
Part 3 of 16 -
Question 6 of 23
1.0 Points
A pharmaceutical company is testing the effectiveness of a new drug for lowering cholesterol. As part of this trial, they wish to determine whether there is a difference between the effectiveness for women and for men. Assume α = 0.05. What is the test value?
Women
Men
Sample size
50
80
Mean effect
7
6.95
Sample variance
3
4
A.t = 3.252
B.t = 0.151
C.z = 0.081
D.z = 0.455
Reset Selection
Question 7 of 23
.
Similar to Second Course in Statistics Regression Analysis 7th Edition Mendenhall Solutions Manual (20)
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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