Scenario Analysis Vacation Time - Running head Vacation...

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Running head: Vacation Time 1 Scenario Analysis: Module 6 Vacation Time Statistics 510 Brandy Walker January 31, 2016 Dr. C.
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Vacation Time 2 Abstract For the scenario of module 6 we are asked to assess vacation time. The goal is to evaluate the data given and conduct a hypothesis test to determine if employees are really taking less than 1.4 weeks of vacation time a year.
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Vacation Time 3 Vacation Time This assignment explained that the VP of Administration at my company has some concerns about employee burnout. He believes that based on data and research employees should be taking more than 1.4 weeks of vacation time or they will burn out. Our data provided will give us an idea as to if this is the case with our particular employees at my company. Our data included the follow information. Null: 1.4 T: 2.93 P: 0.0084 Using the link p-Value Calculator for a student t-Test our results are as follows. One-tailed probability (right tail): 0.01631638 One-tailed probability (left tail): 0.98368362 Two-tailed probability: 0.03263275 With these being our results we look at the notes provided in our module 6. Testing for a Population Mean: Small Sample, Population Standard Deviation Unknown. The notes give an example of a similar problem. Explaining how we chose the null and if we should reject the null or not. “HA is the alternative hypothesis, and H0 is the null hypothesis. The claim made or
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  • Spring '14
  • Statistics, Null hypothesis, Statistical hypothesis testing, vacation time

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