Week 6 - Group Assignment

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inferential_statistics_-_sheri.docx

Business Research Project

Inferential Statistics

Sheri LeBeau

QNT/561

1/23/17

Dr. Heidi Carty

Running head: BUSINESS RESEARCH PROJECT

1

BUSINESS RESEARCH PROJECT

6

Inferential Statistics

The Hypothesis being tested is, “Passenger boarding times will be decrease when the bags are free.” And the Null Hypothesis is “There is no difference in boarding times when bags are free.” The data collected for the study was boarding times, with paid luggage, and boarding times, with free luggage. To reject the null hypothesis, there will be a difference between the boarding times.

The Independent variable is whether or not the first two checked bags are free, and the dependent variable is flight boarding times. The data was mined from collected data, both six months in the past and six months in the future. The independent variable data, whether the bags were free or not free, has already been collected.

The t-test was used for averages of two samples, boarding times when baggage is free, and boarding times when baggage is paid. The t-test chosen was the t-test paired. The confidence level alpha is 1, with .05 for a confidence level of 95%. If the P value<alpha, then we reject the null hypothesis. If the P value is >alpha then we fail to reject the null hypothesis. P= 4.16187E-08>1, so the null hypothesis is rejected.

Appendix A

t-Test: Paired Two Sample for Means

 

Free

Paid

Mean

9.666666667

13.88333333

Variance

12.97175141

12.88446328

Observations

60

60

Pearson Correlation

-0.041079213

Hypothesized Mean Difference

0

df

59

t Stat

-6.29536021

P(T<=t) one-tail

2.08094E-08

t Critical one-tail

1.671093032

P(T<=t) two-tail

4.16187E-08

t Critical two-tail

2.000995378

 

Appendix C

Reference

Lind, D., Marchal, W., & Wathan, S. (2014). Statistical techniques in business and economics (16th ed.). New York, NY: McGraw-Hill Irwin.

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