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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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 .?
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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