Count Respondents sex MALE FEMALE Total Favor or FAVOR 30 27 57 oppose death (expected) penalty for murder OPPOSE 16 20 36 (еxpected) Total 46 47 93 We want to test whether there is an association between one's gender and support for capital punishment in the U.S. Formulate the hypotheses for the chi-square test: Họ: fo fe H1: fo fe For a = 0.01 and df = the chi-square critical is equal to Then, calculate the expected frequencies (insert them in the table under the observed frequencies, round to 1 decimal) The chi-square-obtained statistic is equal to (round to 3 decimals) The p-value is equal to (round to 3 decimals) Based on these results, can we reject the null hypothesis? (yes/no)| We can conclude that between one's gender and support for capital punishment in the U.S. We want to know how strong is the association. The phi statistic is equal to

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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6 マ マ & ◆ 4
Favor or oppose death penalty for murder * Respondents sex
Crosstabulation
Count
Respondents sex
MALE
FEMALE
Total
Favor or
FAVOR
30
27
57
oppose death
(expected)
penalty for
murder
OPPOSE
16
20
36
(expected)
Total
46
47
93
We want to test whether there is an association between one's gender and support for capital punishment in the U.S.
Formulate the hypotheses for the chi-square test:
Họ: fo
fe
H1: fo
fe
For a = 0.01 and df =
the chi-square critical is equal to
Then, calculate the expected frequencies (insert them in the table under the observed frequencies, round to 1 decimal)
The chi-square-obtained statistic is equal to
(round to 3 decimals)
The p-value is equal to
(round to 3 decimals)
Based on these results, can we reject the null hypothesis? (yes/no)
We can conclude that
between one's gender and support for capital punishment in the U.S.
We want to know how strong is the association. The phi statistic is equal to
We can conclude that the association between one's gender and support for capital punishment is (weak/moderate/strong)
Type here to search
hul
Transcribed Image Text:6 マ マ & ◆ 4 Favor or oppose death penalty for murder * Respondents sex Crosstabulation Count Respondents sex MALE FEMALE Total Favor or FAVOR 30 27 57 oppose death (expected) penalty for murder OPPOSE 16 20 36 (expected) Total 46 47 93 We want to test whether there is an association between one's gender and support for capital punishment in the U.S. Formulate the hypotheses for the chi-square test: Họ: fo fe H1: fo fe For a = 0.01 and df = the chi-square critical is equal to Then, calculate the expected frequencies (insert them in the table under the observed frequencies, round to 1 decimal) The chi-square-obtained statistic is equal to (round to 3 decimals) The p-value is equal to (round to 3 decimals) Based on these results, can we reject the null hypothesis? (yes/no) We can conclude that between one's gender and support for capital punishment in the U.S. We want to know how strong is the association. The phi statistic is equal to We can conclude that the association between one's gender and support for capital punishment is (weak/moderate/strong) Type here to search hul
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