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The results below are of a survey of a random sample of people buying ballet tickets, laid out according to the type of seat they purchased and how regularly they attend. Is there a significan 0.05 level. Complete parts (a) and (b). Attendance Click the icon to view the table of cutoff scores for the chi-square distribution. Click the icon to view the table of Cohen's conventions for Cramer's phi. Determine the cutoff sample score at which the null hypothesis should be rejected. The cutoff score is (Round to three decimal places as needed.) Cohen's Conventions for Cramer's Phi Cohen's Conventions for Cramer's Phi Smallest Side of Contingency Table 2 (dfsmaller = 1) 3 (df smaller = 2) 4 (dfsmaller =3) Effect Size: Small Medium Large 0.10 0.30 0.50 0.07 0.21 0.35 0.06 0.17 0.29 (a) Carry out the steps of hypothesis testing. Choose the correct null and research hypotheses below. A. The null hypothesis is that the seating category and attendance are independent. The research hypothesis is that the seating category and attendance are not independent. B. The null hypothesis is that the percentage of people in each seating category is the same for both types of attendance. The research hypothesis is that the percentage of people in each is different for one of the types of attendance. OC. The null hypothesis is that the seating category and attendance are not independent. The research hypothesis is that the seating category and attendance are independent. df REFEED 1 2 3 4 5 6 7 8 9 10 Cutoff Scores for the Chi-Square Distribution .10 2.706 4.605 6.252 7.780 9.237 10.645 12.017 13.362 14.684 15.987 Seating Category Orchestra First Balcony Second Balcony .05 Significance Level 3.841 5.992 7.815 9.488 11.071 12.592 14.067 15.507 16.919 18.307 .01 Regular 50 6.635 9.211 11.345 13.277 15.087 16.812 18.475 20.090 21.666 23.209 40 50 Occa X 5

The results below are of a survey of a random sample of people buying ballet tickets, laid out according to the type of seat they purchased and how regularly they attend. Is there a significan 0.05 level. Complete parts (a) and (b). Attendance Click the icon to view the table of cutoff scores for the chi-square distribution. Click the icon to view the table of Cohen's conventions for Cramer's phi. Determine the cutoff sample score at which the null hypothesis should be rejected. The cutoff score is (Round to three decimal places as needed.) Cohen's Conventions for Cramer's Phi Cohen's Conventions for Cramer's Phi Smallest Side of Contingency Table 2 (dfsmaller = 1) 3 (df smaller = 2) 4 (dfsmaller =3) Effect Size: Small Medium Large 0.10 0.30 0.50 0.07 0.21 0.35 0.06 0.17 0.29 (a) Carry out the steps of hypothesis testing. Choose the correct null and research hypotheses below. A. The null hypothesis is that the seating category and attendance are independent. The research hypothesis is that the seating category and attendance are not independent. B. The null hypothesis is that the percentage of people in each seating category is the same for both types of attendance. The research hypothesis is that the percentage of people in each is different for one of the types of attendance. OC. The null hypothesis is that the seating category and attendance are not independent. The research hypothesis is that the seating category and attendance are independent. df REFEED 1 2 3 4 5 6 7 8 9 10 Cutoff Scores for the Chi-Square Distribution .10 2.706 4.605 6.252 7.780 9.237 10.645 12.017 13.362 14.684 15.987 Seating Category Orchestra First Balcony Second Balcony .05 Significance Level 3.841 5.992 7.815 9.488 11.071 12.592 14.067 15.507 16.919 18.307 .01 Regular 50 6.635 9.211 11.345 13.277 15.087 16.812 18.475 20.090 21.666 23.209 40 50 Occa X 5

MATLAB: An Introduction with Applications
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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The results below are of a survey of a random sample of people buying ballet​ tickets, laid out according to the type of seat they purchased and how regularly they attend. Is there a significant​ relation? Use the0.05 level. Complete parts​ (a) and​ (b). based on the chart provided solve for A-B .?

The results below are of a survey of a random sample of people buying ballet tickets, laid out according to the type of seat they purchased and how regularly they attend. Is there a significant re 0.05 level. Complete parts (a) and (b). Attendance Click the icon to view the table of cutoff scores for the chi-square distribution. Click the icon to view the table of Cohen's conventions for Cramer's phi. Cohen's Conventions for Cramer's Phi Cohen's Conventions for Cramer's Phil Smallest Side of Contingency Table 2 (df smaller = 1) 3 (df smaller = 2) 4 (df smaller = 3) - X (a) Carry out the steps of hypothesis testing. Choose the correct null and research hypotheses below. A. The null hypothesis is that the seating category and attendance are independent. The research hypothesis is that the seating category and attendance are not independent. B. The null hypothesis is that the percentage of people in each seating category is the same for both types of attendance. The research hypothesis is that the percentage of people in each s is different for one of the types of attendance. OC. The null hypothesis is that the seating category and attendance are not independent. The research hypothesis is that the seating category and attendance are independent. Determine the cutoff sample score at which the null hypothesis should be rejected. The cutoff score is (Round to three decimal places as needed.) Effect Size Small Medium Large 0.10 0.30 0.50 0.07 0.21 0.35 0.06 0.17 0.29 df Cutoff Scores for the Chi-Square Distribution 1 2 3 4 5 6 7890 10 .10 2.706 4.605 6.252 7.780 9.237 10.645 12.017 13.362 14.684 15.987 Seating Category Orchestra First Balcony Second Balcony .05 Significance Level 3.841 5.992 7.815 9.488 11.071 12.592 14.067 15.507 16.919 18.307 .01 6.635 9.211 11.345 Regular 50 13.277 15.087 16.812 18.475 20.090 21.666 23.209 40 50 Occasic 90 50 60 X heri
Transcribed Image Text:The results below are of a survey of a random sample of people buying ballet tickets, laid out according to the type of seat they purchased and how regularly they attend. Is there a significant re 0.05 level. Complete parts (a) and (b). Attendance Click the icon to view the table of cutoff scores for the chi-square distribution. Click the icon to view the table of Cohen's conventions for Cramer's phi. Cohen's Conventions for Cramer's Phi Cohen's Conventions for Cramer's Phil Smallest Side of Contingency Table 2 (df smaller = 1) 3 (df smaller = 2) 4 (df smaller = 3) - X (a) Carry out the steps of hypothesis testing. Choose the correct null and research hypotheses below. A. The null hypothesis is that the seating category and attendance are independent. The research hypothesis is that the seating category and attendance are not independent. B. The null hypothesis is that the percentage of people in each seating category is the same for both types of attendance. The research hypothesis is that the percentage of people in each s is different for one of the types of attendance. OC. The null hypothesis is that the seating category and attendance are not independent. The research hypothesis is that the seating category and attendance are independent. Determine the cutoff sample score at which the null hypothesis should be rejected. The cutoff score is (Round to three decimal places as needed.) Effect Size Small Medium Large 0.10 0.30 0.50 0.07 0.21 0.35 0.06 0.17 0.29 df Cutoff Scores for the Chi-Square Distribution 1 2 3 4 5 6 7890 10 .10 2.706 4.605 6.252 7.780 9.237 10.645 12.017 13.362 14.684 15.987 Seating Category Orchestra First Balcony Second Balcony .05 Significance Level 3.841 5.992 7.815 9.488 11.071 12.592 14.067 15.507 16.919 18.307 .01 6.635 9.211 11.345 Regular 50 13.277 15.087 16.812 18.475 20.090 21.666 23.209 40 50 Occasic 90 50 60 X heri
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