Study Design In my study the null hypothesis is that Delta Airlines taxi out times = Southwest Airlines taxi out times as illustrated by the...

Study Design

In my study the null hypothesis is that Delta Airlines taxi out times = Southwest Airlines taxi out times as illustrated by the mathematical equation: .

µ1= Delta Airlines taxi out times.

µ2= Southwest Airlines taxi out times.

The alternate hypothesis is that Delta Airlines taxi out times are >Southwest Airlines taxi out times illustrated by the equation: .

I am using a two-sided/2 sample t-test that is right tailed.

The difference between Delta and Southwest taxi out times is being computed by subtracting from left – right.

Summary Statistics:

Summary statistics:

Column

n

Mean

Variance

Std. dev.

Std. err.

Median

Range

Min

Max

Q1

Q3

Delta Taxi-Out

100

8.81

9.5089899

3.083665

0.3083665

16

21

10

Southwest Taxi-Out

100

21.54

58.917576

7.6757785

0.76757785

20

42

51

17

25

Results Hypothesis test:

Hypothesis test results:
μ1: Mean of Delta Taxi-Out
μ2: Mean of Southwest Taxi-Out
μ1 - μ2: Difference between two means
H0: μ1 - μ2 = 0
HA: μ1 - μ2 > 0
(with pooled variances)

Difference

Sample Diff.

Std. Err.

DF

T-Stat

P-value

μ1 - μ2

-12.73

0.82720352

198

-15.3892

Results confidence interval:

95% confidence interval results:
μ1: Mean of Delta Taxi-Out
μ2: Mean of Southwest Taxi-Out
μ1 - μ2: Difference between two means
(with pooled variances)

Difference

Sample Diff.

Std. Err.

DF

L. Limit

U. Limit

μ1 - μ2

-12.73

0.82720352

198

-14.36126

-11.09874


Study Design In my study the null hypothesis is that Delta Airlines taxi out times = Southwest Airlines taxi out times as illustrated by the... 1Study Design In my study the null hypothesis is that Delta Airlines taxi out times = Southwest Airlines taxi out times as illustrated by the... 2

The T-test

Decision Rule.

Answer from Profstart:

We reject the null hypothesis if the P-Value is large i.e if the P-value is greater than the significance level or it lies in the critical region.

If P-value is smaller than the significance level, we do not reject the null hypothesis since the P-Value lies in the acceptance region.

In our case, the test statistic is -15.3892 and the corresponding P-value is 1. This clearly shows that the P-value lies in the critical/rejection region (The maximum value P can take is 1).

Hence, we reject the null hypothesis.

Decision: There is no enough evidence to show that Delta Air Lines will have a considerable amount more of taxi out time than Southwest Airlines.