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F-Test

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Identify and apply appropriate statistical analysis: The statistical test that I decided to analyze was the F-Test. This test is used for comparing variances. The reason I chose this test was due to the fact that I am going to be using this same data on my term paper. I will be comparing runway incursions that took place between 2011 and 2012. The data from this group will be independent of each other. The F-Test can also be conducted with data that is unpaired.

Data Collection: Techniques in data collection can be from the entire population, or it can be from sample data, which can be random or selected from the population. In the runway incursion F-test the data will be collected from the entire population.

Review: The data that was collected for this test was taken from the FAA website, which gives runway incursion totals for each quarter. The given data is from the population. I have chosen the F-test because this will give us variance.

Critique: There were a few other tests that could have been conducted, but the F-test was the one that would give me the best results. The T-Test would have been an option for me if I were comparing variance for a single sample. A second option would have been the Chi-test for independence, the problem with this test was I wasn’t testing for independence. I was testing for variance. The F-test was the best fit because I had more than one sample set that was independent from each other.

Interpretation: This is where we analyze our hypothesis. In statistical test you have a null hypothesis and a hypothesis. In this case my null hypothesis was there no significant variability differences between runway incursions in 2011 and 2012. The hypothesis was that there were significant variability differences 2011 and 2012.

Inference: This is where we decided to either reject or accept or null hypothesis. We base our

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