You are interested in understaind whether residents from Buffalo, Erie, and Niagara Falls rate themselves differently on being happy vs. unhappy. You gather the data be Buffalo Erie Niagara Falls Наррy Unhappy 22 8 16 10 16 8 (1) What is the null hypothesis?

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 19E
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QUESTION 3
You are interested in understaind whether residents from Buffalo, Erie, and Niagara Falls rate themselves differently on being happy vs. unhappy. You gather the data below.
Buffalo Erie Niagara Falls
Наppy
22
8
16
Unhappy
10
16
8
(1) What is the null hypothesis?
a. There is no association between Buffalo and Niagara Falls.
b. There is an association between Buffalo and Niagara Falls.
c. There is an association between happiness and location.
d. There is no association between happiness and location.
(2-7) Fill in the expected frequencies for the following:
Buffalo
Erie
Niagara Falls
Наpрy
Unhappy
(8) What is your chi-square value?
(9) How many degrees of freedom are there?
(10) Assuming alpha is equal to .05, what is the critical value?
(11) What is your decision?
a. Fail to reject the null and conclude that there is not a difference in happiness and location.
b. Reject the null and conclude that there is not a difference in happiness and location.
c. Reject the null and conclude that there is a difference in happiness and location.
d. Fail to reject the null and conclude that there is a difference in happiness and location.
Transcribed Image Text:QUESTION 3 You are interested in understaind whether residents from Buffalo, Erie, and Niagara Falls rate themselves differently on being happy vs. unhappy. You gather the data below. Buffalo Erie Niagara Falls Наppy 22 8 16 Unhappy 10 16 8 (1) What is the null hypothesis? a. There is no association between Buffalo and Niagara Falls. b. There is an association between Buffalo and Niagara Falls. c. There is an association between happiness and location. d. There is no association between happiness and location. (2-7) Fill in the expected frequencies for the following: Buffalo Erie Niagara Falls Наpрy Unhappy (8) What is your chi-square value? (9) How many degrees of freedom are there? (10) Assuming alpha is equal to .05, what is the critical value? (11) What is your decision? a. Fail to reject the null and conclude that there is not a difference in happiness and location. b. Reject the null and conclude that there is not a difference in happiness and location. c. Reject the null and conclude that there is a difference in happiness and location. d. Fail to reject the null and conclude that there is a difference in happiness and location.
Buffalo
Erie
Niagara Falls
Наpрy
Unhappy
(8) What is your chi-square value?
(9) How many degrees of freedom are there?
(10) Assuming alpha is equal to .05, what is the critical value?
(11) What is your decision?
a. Fail to reject the null and conclude that there is not a difference in happiness and location.
b. Reject the null and conclude that there is not a difference in happiness and location.
c. Reject the null and conclude that there is a difference in happiness and location.
d. Fail to reject the null and conclude that there is a difference in happiness and location.
(12) What is the effect size (Cramer's V)?
(13) In order to assess where the differences are, you need to conduct post-hoc comparisons. What is the new critical value associated with your bonferroni corrections?
(14) Based on your post-hoc comparisons, which differences are significant? (just type the letter(s) with a space between them)
a. Happiness is different in Buffalo vs. Erie
b. Happiness is different in Buffalo vs. Niagara Falls
c. Happiness is different in Erie vs. Niagara Falls
d. There were no significant differences
Transcribed Image Text:Buffalo Erie Niagara Falls Наpрy Unhappy (8) What is your chi-square value? (9) How many degrees of freedom are there? (10) Assuming alpha is equal to .05, what is the critical value? (11) What is your decision? a. Fail to reject the null and conclude that there is not a difference in happiness and location. b. Reject the null and conclude that there is not a difference in happiness and location. c. Reject the null and conclude that there is a difference in happiness and location. d. Fail to reject the null and conclude that there is a difference in happiness and location. (12) What is the effect size (Cramer's V)? (13) In order to assess where the differences are, you need to conduct post-hoc comparisons. What is the new critical value associated with your bonferroni corrections? (14) Based on your post-hoc comparisons, which differences are significant? (just type the letter(s) with a space between them) a. Happiness is different in Buffalo vs. Erie b. Happiness is different in Buffalo vs. Niagara Falls c. Happiness is different in Erie vs. Niagara Falls d. There were no significant differences
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