Question

In: Statistics and Probability

A market researcher believes that brand perception of one of the company's products may vary between...

A market researcher believes that brand perception of one of the company's products may vary between different groups. After interviewing 415 persons, the following data was compiled. Can we conclude that brand perception is dependent on age?

Age Favorable Unfavorable Neutral Total
18-30 89 18 19 126
30-45 77 59 59 195
Over 45 68 12 14 94
Total 234 89 92 415

Step 1 of 8: State the null and alternative hypothesis.

Step 2 of 8: Find the expected value for the number of particpants who are 18-30 years old and have a favorable perception of the brand. Round your answer to one decimal place.

Step 3 of 8: Find the expected value for the number of particpants who are 30-45 years old and have a unfavorable perception of the brand. Round your answer to one decimal place.

Step 4 of 8: Find the value of the test statistic. Round your answer to three decimal places.

Step 5 of 8: Find the degrees of freedom associated with the test statistic for this problem.

Step 6 of 8: Find the critical value of the test at the 0.1 level of significance. Round your answer to three decimal places.

Step 7 of 8: Make the decision to reject or fail to reject the null hypothesis at the 0.1 level of significance.

Step 8 of 8: State the conclusion of the hypothesis test at the 0.1 level of significance.

Solutions

Expert Solution

Step 1:

H0: The  brand perception is independent on age

H1: The  brand perception is not independent on age

Step 2: The expected value for the number of particpants who are 18-30 years old and have a favorable perception of the brand is (126*234)/415 = 71.1

Step 3:

The expected value for the number of particpants who are 30-45 years old and have a unfavorable perception of the brand is 195*89/415 = 41.8

Step 4:

The Expected frequencies are
Favorable Unfavorable Neutral Total
18-30 71.046 27.022 27.933 126
30-45 109.952 41.819 43.229 195
Over 45 53.002 20.159 20.839 94.00
Total 234 89 92 415

The Chi-square contribution values are

Oi Ei (Oi-Ei)^2 /Ei
89 71.046 4.5371
18 27.022 3.0122
19 27.933 2.8568
77 109.952 9.8755
59 41.819 7.0587
59 43.229 5.7536
68 53.002 4.244
12 20.159 3.3022
14 20.839 2.2444
Total: 42.8845

Test Statistic, X^2: 42.884

Step 5: Degrees of freedom: 4
Step 6:Critical X^2: 7.779
Step 7: Since Chi-square value > Chi-square critical value so we reject H0

Step 8: Thus we conclude that the  brand perception is not independent on age


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