Question

In: Statistics and Probability

Suppose a marketing research firm would like to examine if the social networking site that a...

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, 361 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. Alpha = .05

Social Networking Site

Age_Group Site_A Site_B Site_C
2–17 27 16 1
18–34 110 25 11
35–54 97 19 18
55+ 27 3 7

A). (If possible, please show how to do these problems using excel.)

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

​(Round to two decimal places as​ needed.)

B).

Find the​ chi-square critical​ value, χ2α.

​(Round to two decimal places as​ needed.)

C).

Determine the result of the test. Choose the correct answer below.

A.

RejectReject

Upper H 0H0.

The test statistic

fallsfalls

into the rejection region.

B.Reject

Upper H 0H0.

The test statistic does not fall into the rejection region.

C). What conclusions can be made based on these results?

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

E). Interpret the meaning of the p-value

The p value is the probability of observing ____ as extreme or more extreme than the one observed under the assumption that the _____ is true. A p-value is less than the significance level alpha means that the ____ is ______ enough that the ____ should be rejected. For this test the p value is _____ alpha=.01, so ______ the ______. There is ____ evidence to indicate ____________________________.

Solutions

Expert Solution

Sorry, I don't have any software so, not able to solve D & later E part.

Rest parts are solve.

Age gp site A site B site C Total
02 to 17 27 16 1 44
18-34 110 25 11 146
35 - 54 97 19 18 134
55 + 27 3 7 37
Total 261 63 37 361

Contingency table is calculated below :

Row Col fo fe fo-fe (fo-fe)^2 ((fo-fe)^2/fe)
1 1 27 32 -5 23 0.728
1 2 16 8 8 69 9.018
1 3 1 5 -4 12 2.731
2 1 110 106 4 20 0.187
2 2 25 25 0 0 0.009
2 3 11 15 -4 16 1.050
3 1 97 97 0 0 0.000
3 2 19 23 -4 19 0.822
3 3 18 14 4 18 1.325
4 1 27 27 0 0 0.002
4 2 3 6 -3 12 1.851
4 3 7 4 3 10 2.713
20.437

X2 ( Chi-square ) = 20.437


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