Part3_HypothesisTesting_Finalcopy100.doc1
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Statistical Project –Part #3
Student’s Name
Institutional affiliation
Part #3; Hypothesis Testing
Hypothesis testing is a statistical test procedure that uses a random sample data to evaluate the plausibility of a tentative statement and then reliably extrapolate the observed results about the broader population (Warner, 2012). In particular, it is a process of finding out whether there is enough statistical evidence for us to be statistically confident to reject the null hypothesis. In this scenario, our testable claim is; “Is there a difference in the number/rate of bird strikes according to each phase of flight? The research or null hypothesis is; There is not a difference in the number of bird strikes in the phases of flight. To test the null hypothesis that the number of strikes are not different among the seven height bands, I will perform Chi square analysis. The data is from the FAA’s National Wildlife Strike Database for Civil Aviation (Dolbeer et al., 2021). The data reports from January 1990–December 2020, including even bird collisions with U.S. registered aircrafts in foreign countries.
I. Null and Alternative Hypothesis
Null hypothesis; There is not a difference in the number of bird strikes in the phases of flight
Alternative hypothesis; There is a significant difference in the number of bird strikes at different phases.
II. Significance Level: The alpha level is 0.05
III. Test Statistic
Under Ho, the test statistic for chi-square goodness of fit test;
Iv.). Test Decision. The P-values are less than 0.0000. Since, the p-value is less than the alpha level, 0.05, we reject the null hypothesis. A p-value of less than the alpha of 5% indicates a strong evidence against the 5% probability that the null hypothesis is true (Warner, 2012).
v.). Conclusion. At 5% significance level, we can conclude that the number of bird strikes are statistically different at the phases of flight. The number of bird strikes across the seven height bands are statistically different in commercial, and general aviation aircrafts.
References
Dolbeer, R. A., Begier,M.J., Miller,P.R., Weller,J.R.,& Anderson, A.L.,(2021). Wildlife strikes
to civil aircraft in the United States, 1990-2020. Serial Report No. 26 .U.S.Federal
Aviation Administration, Office of Airport Safety and Standards, & Certification, Washington,DC.,USA.https://www.faa.gov/airports/airport_safety/wildlife/media/Wildlife-Strike-Report-1990-2020.pdf
Warner, R. M. (2012). Applied statistics: From bivariate through multivariate techniques:
From bivariate through multivariate techniques. SAGE.
