In: Statistics and Probability
The owner of a restaurant that serves Continental-style entrées has the business objective of learning more about the patterns of patron demand during the Friday-to-Sunday weekend time period. She decided to study the demand for dessert during this time period. In addition to studying whether a dessert was ordered, she will study the gender of the individual and whether a beef entrée was ordered. Data were collected from 630 customers and organized in the following contingency tables:
Gender |
|||
Dessert Ordered |
Male |
Female |
Total |
Yes |
50 |
96 |
146 |
No |
250 |
234 |
484 |
Total |
300 |
330 |
630 |
Beef Entree |
|||
Dessert Ordered |
Yes |
No |
Total |
Yes |
74 |
68 |
142 |
No |
123 |
365 |
488 |
Total |
197 |
433 |
630 |
At the 0.05 level of significance, is there evidence of a difference between males and females in the proportion who order dessert?
At the 0.05 level of significance, is there evidence of a difference in the proportion who order dessert based on whether a beef entrée has been ordered?
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