1. Tips By: Brian Williams, Greg Obetz, Mike O’Day

2. Many factors Gender of patron Smoker or non-smoker Time of day Weekday or weekend Tipping

3. Data collected from food chain in local mall 2 ½ months Non-smoking section Background

4. The following information was recorded: Amount of the total bill Amount of the tip The gender Whether or not a patron in the party is a smoker Day of the week Time of day Size of the party. Data Collected

5. Male vs. Female

6. |obs| < critical P-value > a-value Accept the null Males and females tip the same Male vs. Female

7. Night vs. Day

8. |obs| > critical P-value < a-level Reject the null Night patrons tip more than day patrons Night vs. Day

9. Smoker vs. Non-smoker

10. |obs| < critical P-value >a-level Accept the null Smokers and non-smokers tip the same Smoker vs. Non-smoker

11. Weekend vs. Weekday

12. |obs|< critical P-value > a-level Accept the null Weekend and weekday patrons tip the same Weekend vs. Weekday

13. Only time of day affected tips Smoking, gender, and day of week had no affect Recommendation Alternate day and night shifts Service is biggest factor in tips Conclusion