ABC media company published 4 magazines for the teenage market. The executive editor of the company would like to know whether readership preference for the 4 magazines is independent of gender. A survey among 190 teenagers was carried out. The following contingency table was obtained. Gender Girls Boys Beat 18 38 Select one: O a. 9.488 b. 3.841 c. 5.991 O d. 11.345 O e. 7.815 Magazine preference Youth 12 26 Grow 20 34 Line 18 24 Performing the chi-square test at a 1% level of significance to determine whether there is a relationship between the gender of the teenager and magazine preference, determine the critical value of the test.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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ABC media company published 4 magazines for the teenage market. The executive editor of the company would like to know whether readership
is independent of gender. A survey among 190 teenagers was carried out. The following contingency table was
preference for the 4 magazines
obtained.
Gender
Girls
Boys
Select one:
O a. 9.488
b. 3.841
Beat
18
38
c. 5.991
O d. 11.345
O e. 7.815
Magazine preference
Youth
12
26
Grow
20
34
Performing the chi-square test at a 1% level of significance to determine whether there is a relationship between the gender of the teenager and
magazine preference, determine the critical value of the test.
NACI
Line
18
24
Transcribed Image Text:ABC media company published 4 magazines for the teenage market. The executive editor of the company would like to know whether readership is independent of gender. A survey among 190 teenagers was carried out. The following contingency table was preference for the 4 magazines obtained. Gender Girls Boys Select one: O a. 9.488 b. 3.841 Beat 18 38 c. 5.991 O d. 11.345 O e. 7.815 Magazine preference Youth 12 26 Grow 20 34 Performing the chi-square test at a 1% level of significance to determine whether there is a relationship between the gender of the teenager and magazine preference, determine the critical value of the test. NACI Line 18 24
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