Question

In: Statistics and Probability

Use the table below to determine the answers to the following questions. Assume an alpha of...

Use the table below to determine the answers to the following questions. Assume an alpha of 0.05 and use Excel's T Test Two Sample Assuming Unequal Variances to determine the answer to those questions.

Employee Exercise Rating
1 Yes 15
2 Yes 17
3 Yes 16
4 Yes 20
5 Yes 20
6 Yes 14
7 Yes 14
8 Yes 16
9 Yes 24
10 Yes 10
11 Yes 23
12 Yes 22
13 Yes 15
14 Yes 13
15 Yes 14
16 Yes 15
17 No 10
18 No 24
19 No 15
20 No 9
21 No 14
22 No 13
23 No 11
24 No 12
25 No 14
26 No 11
27 No 11
28 No 15
29 No 9
30 No 20
31 No 22
32 No 12
33 No 22
34 No 23
35 No 6
36 No 9
1 What is the value for the test statitistic ("t Stat" as Excel calls it)?
2 What is the value for the Critical value for t?
3 What is the the p-value for this two-sample hypothesis test?
4 Our conclusion should be that participating in the fitness program does result in employees who are more productive. True or False.

Solutions

Expert Solution

Step1:First we need to load data analysis tool park.If the data analysis tool park loaded in Excell then go to step 2

Step2:Click on “Data” tab then click on “Data analysis.”

Step3:Click on "t-Test: Two-Sample Assuming Unequal Variances"

Step4: Select Range 1 and Range 2 of data

Step5:Enter Hypothesized mean difference is zero in the box and alpha is 0.05 in the box

Step6:Select Output Range and click on OK

t-Test: Two-Sample Assuming Unequal Variances
Yes No
Mean 16.75 14.1
Variance 15.53333 28.30526
Observations 16 20
Hypothesized Mean Difference 0
df 34
t Stat 1.715544
P(T<=t) one-tail 0.047673
t Critical one-tail 1.690924
P(T<=t) two-tail 0.095347
t Critical two-tail 2.032245

a)The value for the test statitistic ("t Stat") is 1.715544

b) The value for the Critical value for t is 1.690924

c) The the p-value for this two-sample hypothesis test is 0.047673

d) P-value=0.047673<alpha=0.05 then we reject the null hypothesis and conclude that  participating in the fitness program does result in employees who are more productive i.e.(TRUE)


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