Analysis of Data Sets

May 21st, 2016
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1)For each the following variables from the Salary Data Set 2. You are the manager of a high-end ladies fashion store. 3. Using the Salary Data Set what is the probability of randomly selecting one individual (male or female) with a current annual salary of over $40,000? 4. The time required to complete a project is normally distributed with a mean of 77 weeks and a standard deviation of 4 weeks 5. In a state lottery participants select 8 numbers between 1 and 49. 6. From the Salary Data Set and assuming that the salary data is a random sample 7. From the Salary Data Set determine the correlation coefficient between the variables. 8. Explain why rejecting the null hypothesis does not make the alternative hypothesis true.

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Name:Directions:The following software may be used:o Excel->Data Analysiso Excel QMo PhStatPlease make sure to insert your answers, including any charts, graphs, or output, on thisdocument. You may be required to also upload original files from Excel.The calculations are not your final answer. A summary/explanation in your ownword for each question posed should be included.Questions 1,3,6,7 and 11 require the use of the Salary Data File. The Salary Data file islocated in Doc Sharing->Instructor Graded Projects.Be sure to put your name on this document and save it to your computer. Upload thisWord document as your Unit 4 submission in the course Drop Box.Submitting Your Project:Save your project in a location that you will remember and with your full name. Whenyou are ready to submit your project, click on the Dropbox and complete the stepsbelow:Click the link that says, Submit an Assignment.In the Submit to Basket menu, select Unit 4 Project.In the Comments field include your name.Click the Add Attachments button.Follow the steps listed to attach your Word Document.You should revisit the Dropbox to view any helpful feedback your instructor has and toretrieve your graded project.Make sure that you save a copy of your submitted project.11. For each the following variables from the Salary Data Set provide the measures of locationand measures of dispersion

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