Descriptive Statistics and Probability Distribution Problem Sets Emily Noah QNT561 Anthony Matias December 24‚ 2012 Descriptive Statistics and Probability Distribution Problems Sets Descriptive statistics and probability distribution is two ways to find information with certain data giving. In Descriptive statistics the data can give a mode‚ mean‚ median‚ and range by the numerical information‚ which is giving to find the information. In probability distribution the data is collected and
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PROJECT PART B: Hypothesis Testing and Confidence Intervals Math 533 Applied managerial Statistics. Instructor: Mr. Patrick Mayers. April 12‚ 2015 Guillermo H. Quintela. a. The average (mean) sales per week exceeds 41.5 per salesperson. The Null Hypothesis: The average (mean) sales per week is greater than or equal to 41.5 per salesperson. Ho:µ >= 41.5 The alternate Hypothesis: The average (mean) sales per week is less than or equal than 41.5 per salesperson. Ha:µ < 41.5 For a significance
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Applied Research and Statistics QNT561 Research and Sampling Designs Shindeera Robinson June 21‚ 2010 Chapter 8 21. What is sampling error? Could the value of the sampling error be zero? If it were zero‚ what would this mean? Sampling error is the difference between the statistic estimated from a sample and the true population statistic. While we would expect the sampling error to not be zero‚ it is not impossible. For example if you were evaluating the ethnicities of a population and everyone
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M&M Report Alex Colbert Strayer University Abstract Statistics is not an easy topic for your everyday person to pick up and make it easy for them to understand. Equations and hypothesis and the like can be overwhelming and confusing. But what about when you relate it to something that is common in everyday life? Throughout the semester we were given the task to evaluate M&Ms in a few different statistical ways. Throughout this report the goal is to be able to explain what happened‚ and offer
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Project Part C Summary Report Management at the A. J. Davis company wishes the business to retain a competitive edge in the marketplace; ergo‚ they had statistical data collected regarding a selection of their customers who carry credit with the corporation. Based upon studies conducted on this data‚ it can be stated with a high degree of confidence that relationships do exist between certain discreet portions of the information gathered. Household Size vs. Credit Balances Predictably‚ the
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Chapter 8 29. The travel-to-work time for residents of the 15 largest cities in the United States is reported in the 2003 Information Please Almanac. Suppose that a preliminary simple random sample of residents of San Francisco is used to develop a planning value of 6.25 minutes for the population standard deviation. If we want to estimate the population mean travel-to-work time for San Francisco residents with a margin of error of 2 minutes‚ what sample size should be used? Assume 95% confidence
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Week 6 Statistic Course Reflection Paper Heather RN‚ CCRN Statistical Methods and Applications My daughter is currently studying international economics and business law. She has taken several statistic and advanced actuary classes‚ after completing this course I have a great deal of respect for her ambitions and studies. Statistics has never been particularly interesting to me only because I did not realize how much I depend on statistical studies in my personal and professional life. I was afraid
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062896401 Home Size 31.69164882 24.44661008 1.296361692 0.223968044 The formula for the coefficient of correlation‚ . = 0.076. a. Compute the coefficient of correlation is .308 b. Determine the coefficient of determination. Regression Statistics Multiple R 0.37931016 R Square 0.143876197 Adjusted R Square 0.058263817 Standard Error 15.25058359 Observations 12 The coefficient of determination is 14%. b. Determine the coefficient of determination is .095 c. Can we conclude that
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Chanelle Henderson Math533 Applied Managerial Statistics Prof. Lisabeth Goble Week 6: Project B: Testing Hypothesis Testing and Confidence Intervals A. The average annual income was less than $50‚000 Null Hypothesis: The average annual income was greater than or equal to $50‚000H₀: µ ≥ 50‚000 Alternate Hypothesis: The average annual income was less than $50‚000. (Claim)Ha: µ <50‚000 Analysis Plan: Significance Level‚ α=0.05.Since the sample size‚ n > 30 I will use z-test for mean to test the
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DS BST 322 Independent Project Background of the study: The data in the dataset comes from a longitudinal study of low-income women in four urban communities. In the original study‚ extensive information was collected in 1999 (Wave 1) and 2001 (Wave 2) from about 4‚000 women. A major purpose of the study was to understand the life trajectories of these women and their children during a period of major changes to social policies affecting poor people in the United States. The sample
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