QUESTION 3You 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 FallsНаppy22816Unhappy10168(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:BuffaloErieNiagara FallsНаpрyUnhappy(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. BuffaloErieNiagara FallsНаpрyUnhappy(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. Erieb. Happiness is different in Buffalo vs. Niagara Fallsc. Happiness is different in Erie vs. Niagara Fallsd. There were no significant differences

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Description: QUESTION 3You 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 FallsНаppy22816Unhappy10168(1) What is the nul

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Math

Statistics

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?

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?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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