A sports reporter for a local newspaper is working on a story about small college basketball players. A reporter for a major sports magazine found that large college basketball players score 25 points per game. The local paper reporter believes that small college players score more points per game than large college players. She watches several small college basketball games and follows 25 players. Those 25 players score an average of 27.3 points per game with a standard deviation of 1.25 points. At a significance level of .05, can the reporter conclude that small college basketball players score more points per game than large college players?

A researcher tests whether job security and life satisfaction are related. In this study, he observes the following frequencies. If he computes a test for independence at a .05 level of significance, then what is the decision for this test?

21. What were the total number of participants?

22. What is the null hypothesis?

23. What is the research hypothesis?

24. What is the chi-square value?

25. What is your conclusion regarding the null hypothesis?

A group of biochemistry researchers developed a new medication for treating depression. To assess if the new medication is effective at treating depression, the researchers obtained a sample of depressive patients from a local clinic. The patients were then randomly assigned into taking the medication for a month or not. In addition, the patients were also randomly assigned into receiving psychotherapy for a month or not. At the end of the study, the patients were asked to fill out a depression inventory in which a higher score indicates more depression. The data are below. What can be concluded with α = 0.01?

                Psychotherapy

a) What is the appropriate test statistic?
---Select--- na one-way ANOVA within-subjects ANOVA two-way ANOVA

b) Compute the appropriate test statistic(s) to make a decision about H₀.
Medication: p-value =  ; Decision:  ---Select--- Reject H0 Fail to reject H0
Psychotherapy: p-value =  ; Decision:  ---Select--- Reject H0 Fail to reject H0
Interaction: p-value =  ; Decision:  ---Select--- Reject H0 Fail to reject H0


c) Compute the corresponding effect size(s) and indicate magnitude(s).
Medication: η² =  ;  ---Select--- na trivial effect small effect medium effect large effect
Psychotherapy: η² =  ;  ---Select--- na trivial effect small effect medium effect large effect
Interaction: η² =  ;  ---Select--- na trivial effect small effect medium effect large effect


d) Make an interpretation based on the results.

There is a medication difference in depression.There is no medication difference in depression.    

There is a psychotherapy difference in depression.There is no psychotherapy difference in depression.    

There is a medication by psychotherapy interaction in depression.There is no medication by psychotherapy interaction in depression.    

A local trucking company fitted a regression to relate the travel time (days) of its shipments as a function of the distance traveled (miles). The fitted regression is Time = −7.126 + 0.0214 Distance, based on a sample of 20 shipments. The estimated standard error of the slope is 0.0053. Find the value of t_calc to test for zero slope.

Select one:

A. 3.15

B. 4.04

C. 5.02

D. 2.46

A real estate major collected information on some recent local home sales. The first 6 lines of the database appear below. The columns correspond to the house identification number, the community name, the ZIP code, the number of acres of the property, the year the house was built, the market value, and the size of the living area (in square feet).

For the real estate data of Exercise 1, do the data appear to have come from a designed survey or experiment? What concerns might you have about drawing conclusions from this data set?

Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.

A sample of 79 stocks traded on the NYSE that day showed that 33 went up.

You are conducting a study to see if the proportion of stocks that went up is is significantly more than 0.3. You use a significance level of α=0.002.

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...

• less than (or equal to) αα
• greater than α

This test statistic leads to a decision to...

• reject the null
• accept the null
• do not reject the null

As such, the final conclusion is that...

• There is sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3.
• There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3.
• There is evidence to support the claim that the proportion of stocks that went up is more than 0.3.
• There is not evidence to support the claim that the proportion of stocks that went up is is more than 0.3.

A survey of 1057 parents who have a child under the age of 18 living at home asked about their opinions regarding violent video games. A report describing the results of the survey stated that 89 % of parents say that violence in today's video games is a problem. (a) What number of survey respondents reported that they thought that violence in today’s video games is a problem? You will need to round your answer. X = (b) Find a 95% confidence interval ( ±0.001) for the proportion of parents who think that violence in today's video games is a problem. 95% confidence interval is from to (c) Convert the estimate of your confidence interval to percents ( ±0.1) % to %

Use this table to answer the following questions.

a) If a random a person was selected, what would be the probability that the person was not a Broncos fan ?
b) Given that a person is a Broncos fan, what is the probability that they have 6 or more siblings?
c) Given that a person has 3-5 siblings, what is the probability that the person is not a Broncos fan?
d) If a random person was selected, what would be the probability that the person was a Broncos fan?
e) If a random person was selected, what would be the probability that the person is not a Broncos fan and has 3-5 siblings?
f) If a random person was selected, what would be the probability that the person is not a Broncos fan or has 0-2 siblings?
g)If a random a person was selected, what would be the probability that the person was a Broncos fan and has 3-5 siblings?

The arrival of flights ar DIA has been monitored for the last year. From the research, 65.17 % of all arrivals are on time. Suppose a random sample of 16 flight arrivals is examined.
Using the binomial function,answer the following questions.

1. Create a table and enter only the first and last value in that table.

2. Give the probability of exactly 10 on time arrivals?


3. Give the probability of at most 9 on time arrivals?


4. Give the expected (mean) mean number of on time arrivals.

1. Below is a list of the top nine longest serving U.S. Supreme Court Justices, along with the current Chief Justice of the court:

Name                         Length of Service (in years)

William O. Douglas              36

Stephen Johnson Field      34

John Paul Stevens              34

John Marshall                      34

Hugo Black                           34

John Marshall Harlan         33

William J. Brennan              33

Joseph Story                         33

James Moore Wayne          32

John Roberts                          13

Please provide the following information (1 pt. each):

a. M years of service

b. SD years of service

c. Probability of observing the term length of John Roberts

The following data represent the number of flash drives sold per day at a local computer shop and their prices.

Price (x) Units Sold (y)
$34                4
36                  4
32    6
35                  5
31                  9
38                  2
39                  1

You may use Excel for solving this problem.

1. Compute the sample correlation coefficient between the price and the number of flash drives sold.
2. Develop a least-squares estimated regression line.
3. Compute the coefficient of determination and explain its meaning.
4. Test to see if x and y are significantly related. Use a significance level of α = 0.01.

Please walk me through SPSS setup for this and complete the following:

Consider the data below of inches of rainfall per month for three different regions in the Northwestern United States: Please use SPSS and complete the following:

Plains Mountains. Forest

April 25.2. 13.0 9.7

May 17.1 18.1 16.5

June 18.9. 15.7. 18.1

July 17.3 11.3 13.0

August 16.5 14.0 15.4

Using SPSS, perform an ANOVA test for the hypothesis that there is not the same amount of rainfall in every region in the Northwestern United States with a significance level of 0.02. What are the two degrees of freedom of your test statistic? Please attach your Word file and, in a written analysis, explain what your conclusion is and why

Question 1

The expected values are what we have from ______________.

a. data

b. sampling

c. theory

​​​​​​​d. experiments

Question 2

What is the relationship between the mean and the standard deviation of the chi-square distribution?

a. The standard deviation is twice the mean.

b. The standard deviation is the square root of 2 times the mean.

c. They are the same.

d. They are inverses of each other.

Question 3

As the degrees of freedom increase, the graph of the chi-square distribution looks more and more:

a. skewed right

b. asymmetrical

c. skewed left

d. symmetrical

Question 4

Most of the time, the Goodness-of-Fit is a:

a. right-tailed test

b. two-tailed test

c. left-tailed test

d. wagging-tailed test

Question 5 Which test is the correct one to use when determining if a class distribution of grades follows the normal distribution?

a. Test of Independence

b. Goodness-of-Fit

Question 6

Which test is the correct one to use when determining if the numbers picked in the lottery are randomly selected?

a. Test of Independence

b. Goodness-of-fit

Question 7

This is a free question. The answer is 21.8.

a. 21.8

b. 9.4

c. 12.7

d. 46.3

Question 8

Most of the time, the Test for Independence is a:

a. two-tailed test

b. left-tailed test

c. right-tailed test

d. wagging-tailed test

Question 9

Which test is the correct one to use when determining if the gender of a person is independent from the college major of the person?

a. Test for Independence

b. Goodness-of-Fit

Question 10

W​​​​​​​hich test is the correct one to use when determining if the religion of a person is related to his/her political party affiliation?

a. Test of Independence

b. Goodness-of-Fit

Please walk me through SPSS to answer this question...

Consider the data below of inches of rainfall per month for two different regions in the Northwestern United States:

Plains Mountains

April 25.2 13.0

May 17.1 18.1

June 18.9 15.7

July 17.3 11.3

August 16.5 14.0

Using SPSS, perform a two-sample t-test for the hypothesis that there is not the same amount of rainfall in both regions in the Northwestern United States with a significance level of 0.025. What are the degrees of freedom of your test statistic?

Samples of computers are taken from two county library locations and the number of internet tracking spyware programs is counted. The first location hosted 21 computers with a mean of 4.1 tracking programs and a standard deviation of 0.8. The second location hosted 19 computers with a mean of 6.2 tracking programs and a standard deviation of 1.2.

a) Please calculate the appropriate standard error statistic for the scenario provided.

b)Please calculate a confidence interval around your point estimates as appropriate for the scenario. Use a confidence limit of 99% (.01)

c) Please calculate a confidence interval around your point estimates as appropriate for the scenario. Use a confidence limit of 95%.

d) How do your confidence intervals compare? Is this what you expected to see? Why?