A five-star restaurant has the business objective of improving customer waiting time during the noon-to-1 p.m. lunch period. The manager decides to compare the waiting time between the restaurant's two locations. A random sample of 15 customers was selected from Location 1, and another random sample of 15 customers was selected from location 2 on the same day. The waiting times collected from both samples are stored in the following table.   Location 1 Location 2 4.21 9.66 5.55 5.90 3.02 8.02 5.13 5.79 4.77 8.73 2.34 8.01 3.54 8.35 3.20 10.49 4.50 6.68 6.10 5.64 0.38 4.08 5.12 6.17 6.46 9.91 6.19 5.47 3.79 3.82   At a 0.05 level of significance, is there evidence of a difference in the means waiting time between the two locations? Determine the p-value in (a) and interpret its meaning. What assumption about the population distribution of each location is necessary in (a)? Is the assumption valid for these

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A five-star restaurant has the business objective of improving customer waiting time during the noon-to-1 p.m. lunch period. The manager decides to compare the waiting time between the restaurant's two locations. A random sample of 15 customers was selected from Location 1, and another random sample of 15 customers was selected from location 2 on the same day. The waiting times collected from both samples are stored in the following table.

 

Location 1

Location 2

4.21

9.66

5.55

5.90

3.02

8.02

5.13

5.79

4.77

8.73

2.34

8.01

3.54

8.35

3.20

10.49

4.50

6.68

6.10

5.64

0.38

4.08

5.12

6.17

6.46

9.91

6.19

5.47

3.79

3.82

 

  1. At a 0.05 level of significance, is there evidence of a difference in the means waiting time between the two locations?

  2. Determine the p-value in (a) and interpret its meaning.

  3. What assumption about the population distribution of each location is necessary in (a)? Is the assumption valid for these

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