In: Statistics and Probability
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.
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