Discussion: flying squadron costs: assessing normality ( table report
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Discussion: flying squadron costs: assessing normality ( table report
Use Microsoft Excel and StatDisk to complete the Flying Squadron Costs table for the aircraft type listed below:
complete the costs using the B-52 data; use the Kadena data point in your z-score and probability calculations.
Report your values to two decimal places (i.e., 0.12) except for probability. Report probability values to four decimal places (i.e. p = 0.1234).
Post the images of your spreadsheet and StatDisk results in the discussion area along with a narrative of your findings and the responses to the questions below.
Example of what StatDisk results should look like attached below!
Do these costs appear to come from a population that has a normal distribution? Why or why not?
Can the mean of your data sample be treated as a value from a population having a normal distribution? Why or why not?
Did an “unusually low” or “unusually high” z-score value occur?
Was the associated z score probability value less than 0.05 (p < 0.05); meaning a “significantly low” or “significantly high” event? If yes, what are the implications for the base and/or aircraft?
What were your findings? Hint: focus on the calculated mean, standard deviation and z-score (include probability) to interpret your results.
"96% of our customers have reported a 90% and above score. You might want to place an order with us."
