Consider a consumer satisfaction survey conducted by A1 Retailers in which consumers respond that they are either satisfied or not satisfied. From all the customers that purchased products in a given week, only 144 surveys were completed. In this sample, 65% of customers indicated they were satisfied. Perform a test of hypothesis that the satisfaction rate among all customers is greater than 70% with a Type I Error of 0.02.
Here we have to test that
where
n = 144
Sample proportion =
Test statistic:
z = -1.31 (Round to 2 decimal)
Test statistic = -1.31
alpha = 0.02
Test is one tailed (Right tailed) test.
P value = P(z > -1.31)
= 1 - P(z < -1.31)
= 1 - 0.0951 (From statistical table of z values)
= 0.9049
P value = 0.9049
Here p value > alpha
So we fail to reject H0.
Conclusion: Ther is insufficient evidence to conclude that the satisfaction rate among all customers is greater than 70%.
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