Question

For each problem in this assignment, first use hypothesis testing to answer the question. Then create...

For each problem in this assignment, first use hypothesis testing to answer the question. Then create a confidence interval/bound as needed regarding the problem and provide an estimate of the p-value associated with the result. The estimate of the p-value may be a bound and not an exact value.

  1. My children went to college in towns that are south of Rochester, but at about the same latitude. I wondered if they both experienced about the same temperatures. To answer this question, I went to wunderground.com, and I recorded the average high temperature on the 6th day of each month for each location. The data and any possible summary statistics you might need to work this problem are provided below. Can you tell me if there was a difference in average temperature for my 2 children? Use a = 0.10 and remember to include all 5 steps and an estimation or bounds on the p-value.

month

Philly

Indy

Philly - Indy

Jan

40

38

2

Feb

38

40

-2

Mar

49

50

-1

Apr

60

62

-2

May

71

71

0

Jun

80

81

-1

Jul

87

84

3

Aug

86

84

2

Sep

81

82

-1

Oct

70

70

0

Nov

60

59

1

Dec

48

43

5

average

64.2

63.7

0.5

standard deviation

17.6

17.6

2.15

0 0
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Answer #1
month Philly Indy
Jan 40 38
Feb 38 40
Mar 49 50
Apr 60 62
May 71 71
Jun 80 81
Jul 87 84
Aug 86 84
Sep 81 82
Oct 70 70
Nov 60 59
Dec 48 43
t-Test: Two-Sample Assuming Equal Variances
Philly Indy
Mean 64.16666667 63.6666667
Variance 309.7878788 310.424242
Observations 12 12
Pooled Variance 310.1060606
Hypothesized Mean Difference 0
df 22
t Stat 0.069548938
P(T<=t) one-tail 0.472590494
t Critical one-tail 1.321236742
P(T<=t) two-tail 0.945180987
t Critical two-tail 1.717144374

After Entering the values in Excel we can easily analyse the difference of means between phily and Indy variable

steps to do in Excel

1) Enter Values in Excel as shown above in Image

2 ) Go to Data tab and click Data analysis - t-Test: Two-Sample Assuming Equal Variances - Select two variables range and put alfa = 0.10

and click OK to get the results.

Here

we can see from the above results that p values is 0.95 > = 0.10 which Implies Ho is We do not reject Ho

Which implies that Average temperature of Philly and Indy are not different at = 0.10 level of Significance

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