A survey in Newsweek in 1999 asked 747 randomly selected women “how satisfied are you with your overall appearance?” 4 possible responses were given (“very satisfied”, “somewhat satisfied”, “no too satisfied” and “not at all satisfied”). The women were also asked to provide their age (“under 30”, “30 to 49” and “over 50”) If Chi-Square test statistics = 14.278,what is the conclusion? A. Since Chi-square test statistics > chi-square critical value, do not reject h0 B. Since chi-square test statistics < chi-square critical value, do not reject h0 C. Since chi-square test statistics > chi-square critical value, reject h0 D. Since chi-square test statistics < chi-square critical value, reject h0
A survey in Newsweek in 1999 asked 747 randomly selected women “how satisfied are you with your overall appearance?” 4 possible responses were given (“very satisfied”, “somewhat satisfied”, “no too satisfied” and “not at all satisfied”). The women were also asked to provide their age (“under 30”, “30 to 49” and “over 50”) If Chi-Square test statistics = 14.278,what is the conclusion? A. Since Chi-square test statistics > chi-square critical value, do not reject h0 B. Since chi-square test statistics < chi-square critical value, do not reject h0 C. Since chi-square test statistics > chi-square critical value, reject h0 D. Since chi-square test statistics < chi-square critical value, reject h0
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
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A survey in Newsweek in 1999 asked 747 randomly selected women “how satisfied are you with your overall appearance?” 4 possible responses were given (“very satisfied”, “somewhat satisfied”, “no too satisfied” and “not at all satisfied”). The women were also asked to provide their age (“under 30”, “30 to 49” and “over 50”)
If Chi-Square test statistics = 14.278,what is the conclusion?
A. Since Chi-square test statistics > chi-square critical value, do not reject h0
B. Since chi-square test statistics < chi-square critical value, do not reject h0
C. Since chi-square test statistics > chi-square critical value, reject h0
D. Since chi-square test statistics < chi-square critical value, reject h0
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