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The Marketing Manager of a Pizza Chain Is in the Process

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The marketing manager of a pizza chain is in the process of examining some of the demographic characteristics of her customers. In particular, she would like to investigate the belief that the ages of the customers of pizza parlors, hamburger emporiums, and fast-food chicken restaurants are different. As an experiment, the ages of eight customers of each of the restaurants are recorded and listed below. From previous analysis we know that the ages are not normally distributed. The marketing manager of a pizza chain is in the process of examining some of the demographic characteristics of her customers. In particular, she would like to investigate the belief that the ages of the customers of pizza parlors, hamburger emporiums, and fast-food chicken restaurants are different. As an experiment, the ages of eight customers of each of the restaurants are recorded and listed below. From previous analysis we know that the ages are not normally distributed.   Do these data provide enough evidence at the 10% significance level to infer that there are differences in ages among the customers of the three restaurants? Test statistic: H = ______________ Reject   if H > ______________ Conclude: ______________ There ______________ enough evidence at the 10% significance level to infer that there are differences in ages among the customers of the three restaurants. Do these data provide enough evidence at the 10% significance level to infer that there are differences in ages among the customers of the three restaurants?
Test statistic: H = ______________
Reject The marketing manager of a pizza chain is in the process of examining some of the demographic characteristics of her customers. In particular, she would like to investigate the belief that the ages of the customers of pizza parlors, hamburger emporiums, and fast-food chicken restaurants are different. As an experiment, the ages of eight customers of each of the restaurants are recorded and listed below. From previous analysis we know that the ages are not normally distributed.   Do these data provide enough evidence at the 10% significance level to infer that there are differences in ages among the customers of the three restaurants? Test statistic: H = ______________ Reject   if H > ______________ Conclude: ______________ There ______________ enough evidence at the 10% significance level to infer that there are differences in ages among the customers of the three restaurants. if H > ______________
Conclude: ______________
There ______________ enough evidence at the 10% significance level to infer that there are differences in ages among the customers of the three restaurants.

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