Suppose a marketing research firm would like to examine if the social networking site that a person primarily uses is influenced by his or her age. In a randomly drawn​ sample, 362 social network users were asked which site they primarily visited. These data are presented in the following table along with each​ person's age group.                                         Age_Group Site_A Site_B Site_C 2–17 21 15 5 18–34 110 25 14 35–54 97 19 17 55+ 29 4 6 Calculate the​ chi-square test statistic. If​ necessary, combine age groups. Find the​ chi-square critical​ value. Determine the​ p-value using technology and interpret its meaning.

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Suppose a marketing research firm would like to examine if the social networking site that a person primarily uses is influenced by his or her age. In a randomly drawn​ sample, 362 social network users were asked which site they primarily visited. These data are presented in the following table along with each​ person's age group.

       
       
       
       
       
Age_Group Site_A Site_B Site_C
2–17 21 15 5
18–34 110 25 14
35–54 97 19 17
55+ 29 4 6

Calculate the​ chi-square test statistic. If​ necessary, combine age groups.

Find the​ chi-square critical​ value.

Determine the​ p-value using technology and interpret its meaning.

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