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,
371 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. Complete parts a. through c. below.
Age_Group | Site_A | Site_B | Site_C |
2–17 | 22 | 16 | 4 |
18–34 | 125 | 20 | 12 |
35–54 | 98 | 16 | 18 |
55+ | 29 | 3 | 8 |
a. Using
alphaαequals= .05,
perform a chi-square test to determine if age group and social networking site used are independent of one another.
1.Calculate the chi-square test statistic. If necessary, combine age groups.
2. Find the chi-square critical value,
3. Determine the p-value using technology and interpret its meaning.
I'm really struggling figuring this out. Can someone help and explain how you got the answers using excel?
Tabulated Statistics: Age_Group, Worksheet columns
Rows: Age_Group Columns: Worksheet columns
Site_A | Site_B | Site_C | All | |
2–17 | 22 | 16 | 4 | 42 |
Expected count | 31.02 | 6.23 | 4.75 | |
18–34 | 125 | 20 | 12 | 157 |
Expected count | 115.95 | 23.27 | 17.77 | |
35–54 | 98 | 16 | 18 | 132 |
Expected count | 97.49 | 19.57 | 14.94 | |
55+ | 29 | 3 | 8 | 40 |
Expected count | 29.54 | 5.93 | 4.53 | |
All | 274 | 55 | 42 | 371 |
Cell Contents
Count
Chi-Square Test
Chi-Square | DF | P-Value | |
Pearson | 26.524 | 6 | 0.000 |
2 cell(s) with expected counts less than 5.
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Use Excel function(CHIINV(0.05,4)
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P-value = 0.0000
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