RUNNING HEAD: Statistics Overview Statistics Overview Jennifer Shanley BUS 308-Statistics for Managers Professor Wells November 1‚ 2014 Statistics Overview Statistics provides us with very useful tools and techniques that aide us in dealing with real world scenarios. I have been able to learn several useful concepts by studying statistics that can aide me in making rational and informed decisions that are supported by the analysis results. Statistics as a discipline is the application
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This pack of BUS 308 Week 5 Discussion Question 2 Regression contains: At times we can generate a regression equation to explain outcomes. For example‚ an employee’s salary can often be explained by their pay grade‚ appraisal rating‚ education level‚ etc. What variables might explain or predict an outcome in your department or life? If you generated a regression equation‚ how would you interpret it and the residuals from it? Deadline: ( )‚ Mathematics - Statistics Need full class
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This paperwork of BUS 308 Week 5 Discussion Question 1 Correlation comprises: What results in your departments seem to be correlated or related to other activities? How could you verify this? Create a null and alternate hypothesis for one of these issues. What are the managerial implications of a correlation between these variables? Deadline: ( )‚ Mathematics - Statistics Need full class for Ashford - BUS 308 To avoid problems with the freshman 15 or even the freshman 20‚ be sure to keep
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BUS 308 Week 4 assignment_ 9.13_9.22_and 12.10_12.18(a) 9.13 Recall that “very satisfied” customers gave the XYZ-Box video game system a rating that is at least 42. Suppose that the manufacturer of the XYZ-Box wishes to use the random sample of 65 satisfaction ratings to provide evidence supporting the claim that the mean composite satisfaction rating for the XYZ-Box exceeds 42. a. Letting represent the mean composite satisfaction rating for the XYZ-Box‚ set up the null hypothesis and the
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This archive file of BUS 308 Week 2 Quiz shows the solutions to the following problems: 1. Question : In a statistical study‚ the random variable X = 1‚ if the house is colonial‚ and X = 0 if the house is not colonial‚ then it can be stated that the random variable is continuous. True False 2. Question : The set of all possible experimental outcomes is called a(n) sample space. event. experiment. probability. 3. Question : If two events are independent‚ then the probability of their
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Wimberg Week 1 Assignment 1.2 Below we list several variables. Which of these are quantitative and which are qualitative? Explain Quantitative is a number it represents the quantity‚ qualitative are the variables. a. The dollar amount on an accounts receivable invoice = quantitative b. The net profit for a company in 2009. = quantitative c. The stock exchange on which a company’s stock is traded. = qualitative d. The national debt of the US in 2009. = quantitative e. The advertising
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The outcome is unusual. The outcome is one that can be explained by normal circumstances. Instructor Explanation: Answer found in section 3.3 The z-test‚ in Statistics for Managers Points Received: 1 of 1 Comments: Question 5. Question : The standard error of the mean can be calculated by dividing μ by the square root of the number of values in the distribution. Student Answer: True False Instructor Explanation: Answer found in section 3.2 The Distribution
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BUS 308 Final Paper 1 BUS 308 Week 5 Final Paper Derrick Tanner BUS 308: Statistics for Managers Derrick Vance August 30‚ 2014 BUS 308 Final Paper 2 BUS 308 Week 5 Final Paper What I’ve learned throughout this BUS 308: Statistics for Managers course‚ is that data collected for the purpose of business or life can be interpreted into numerical forms such as nominal‚ ordinal‚ interval and ratio data scales which gives a better outcome on measurements and counts for the sole purpose
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In this pack of BUS 308 Week 2 Discussion Question 2 Variation you will find the next information: Variation exists in virtually all parts of our lives. We often see variation in results in what we spend (utility costs each month‚ food costs‚ business supplies‚ etc.). Consider the measures and data you use (in either your personal or job activities). When are differences (between one time period and another‚ between different production lines‚ etc.) between average or actual results important? How
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1.2 Below we list several variables. Which of these variables are quantitative and which are qualitative? Explain. a. The dollar amount on an accounts receivable invoice. Answer – Quantitative as the value is a number b. The net profit for a company in 2009. Answer – Quantitative as the value is a number. c. The stock exchange on which a company’s stock is traded Answer – Qualitative as it is descriptive or categorical. d. The national debt of the united states in 2009. Answer
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