Inferential Statistics and Findings - Week 5
Mohan C. Narayanan
November 10, 2014
Inferential Statistics and Findings
The purpose of this paper is “to create inferential statistics (hypothesis test) using the research question and two variables (dependent, DV and independent, IV), the Learning Team 'B' developed for the Week 2 Business Research Project Part 1 assignment. The paper focuses on the statistical tool used to test the hypotheses at 95% confidence interval and interprets the results providing the findings.”
For the past six months, Royal Blue Airlines Company has been experiencing a high and low volume flights taken by passengers during certain days of the week. The Management decided to create a research team to address an independent and dependent variable question.
Is there a difference in the number of passengers taking flights (DV) that are based upon certain days of the week (IV)?
(H0): There is no difference in the number of passengers based on the day of the week or
(H1): There is a difference in the number of passengers based on the day of the week.
Hypothesis test with a 95% confidence level, using the statistical tool (P-value)
“The feasibility of the null hypothesis is determined in light of the data and the aim of tests of significance is to calculate the probability (P value), that an observed outcome has merely happened by chance. Reject the null hypothesis; if there is significant evidence that,
P < 0.05 and fail to reject the null hypothesis is p > 0.05” (Gupta, 2012). Data used was observations of 100 random selections. (Please refer to the worksheet attach below).
Interpretation of the results and findings
The statistical information shows the distribution was normal, with a mean/average of $10.04 and standard deviation of $2.71. It showed 95% confidence interval (9.51, 10.57), which means that the company can be 95% confident...