I am asking someone to check my work and tell me how I did or if something needs to be changed or anything else.

Please use the six-step hypothesis method and please include minitab solutions

Six Steps 1 Problem Defitnion 2 Hypothesis 3 Decsion rule 4 Test 5 Conclusion 6 Interpetation 7 Assumption if relvant to problem

**Assigned: You and some of your friends have decided to determine which ride service arrives faster to pick you up at your residence. Both Uber and Lyft are tested. The variable of interest is arrrival time in minutes from the time you submit your ride request. You collect the data ordering 18 rides from Uber and 18 from Lyft at varying times. The following table is the record of the arrival times:

At the .01 level of significance, is there sufficient evidence that the mean arrival time for Uber differs from the mean arrival time of Lyft?

Uber arrival time in minutes

16.8

18.1

15.6

16.7

17.5

18.2

19.2

13.7

14.2

11.7

14.1

21.8

13.9

20.8

21.5

12.2

11.4

10.75

Lyft Arival in minutes

22.0

15.2

18.7

15.6

20.8

19.7

21.2

23.9

14.5

19.5

17.0

19.5

16.5

24.0

23.0

16.7

17.5

16.25

Complete testing in Minitab and prepare report in Word. Enter the data presented above into a Minitab worksheet. Conduct the test with alpha of .10 and complete the following.

Using the six-step process for each hypothesis test complete the following for the ride arrival time analysis.

Work that needs checking =

Problem Definition:

Data given on Uber's arrival time and Lyft's arrival time. We want to test whether or not mean arrival time for Uber significantly differs from the mean arrival time of Lyft.

Hypothesis

1 = Population means arrival time in minutes for Uber.

2 = Population means arrival time in minutes for Lyft.

H0: 1 = 2

H1: 1 2

Decision Rule:

We reject the null hypothesis if we get p-value less than alpha = 0.10.

Conclusion:

Since p-value equals 0.010 less than alpha equals 0.10, we reject the null hypothesis.

Interpretation:

The Mean arrival time for Uber significantly differs from the mean arrival time of Lyft.

Assumptions

1.Data values for two given groups must be continuous and independent and drawn from Normal distribution.

2.Population variances for two groups are the same.

Boxplot Interpretation

1.No Outliers

2.Mean value for these two groups are significantly different.