University of Utah David Eccles School of Business Department of Operations and Information Systems (OIS) OIS - 2340-001, BUSINESS STATISTICS Class Times: Tuesday & Thursdays 12:25 pm – 1:45 pm Spencer Fox Eccles Business Building (SFEBB) -160 Fall Semester 2013, Course Syllabus ------------------------------------------------- How we run this class: ------------------------------------------------- To prepare and understand this material, you are invited to participate in class
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1. (20 pt) Go to http://www.stat.tamu.edu/~west/ph/sampledist.html. Use a skewed distribution. Take 1000 samples of sizes 2, 10 and 100. Construct a mean for each sample and look at the distribution of the sample means (third row). Record the mean and SD in the population for the original random variable. Make a table and record the mean of the means, and the standard deviation of the mean for each sample size (2, 10 and 100). For a bell-shaped distribution we showed that the mean of the sample
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Suppose a 95% confidence interval for μ turns out to be (1,000, 2,100). Give a definition of what it means to be "95% confident" in an inference. A) In repeated sampling, the population parameter would fall in the given interval 95% of the time. B) In repeated sampling, 95% of the intervals constructed would contain the population mean. C) 95% of the observations in the entire population fall in the given interval. D) 95% of the observations in the sample fall in the given interval. 3
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techniques to analyze sample information from a certain population to improve our knowledge about the population. Measures of central tendancy and variability fall under descriptive statistics. Inferential statistics is divided into two i.e confidence interval which give a range of values for unknown parameters of a population by measuring a statistical sample and the test of significance also called hypothesis testing whereby a claim about a population is tested by analyzing a statistical sample
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Assignment 1: Bottling Company Case Study xxxxxxx xxxxx Professor xxxxx Math 300 – Statistics June 9, 2014 Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts
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A STUDY ON THE IMPLICATIONS OF CORPORATE RESTRUCTURING Dr. Bernadette D’silva Director, K.G. Mittal Institute of Management, I.T & Research, Malad (West), Mumbai64, Email: Bernadette.dsilva@gmail.com Mrs. Annie Beena Joseph Associate Professor, K.G. Mittal Institute of Management, I.T & Research, Malad (West), Mumbai-64, Email: annie.b.joseph@gmail.com ABSTRACT Corporate Restructuring has become a major component in the financial and economic environment all over the world. It is the process of
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CHAPTER 8: CONFIDENCE INTERVAL ESTIMATION 1. The width of a confidence interval estimate for a proportion will be a) narrower for 99% confidence than for 95% confidence. b) wider for a sample size of 100 than for a sample size of 50. c) narrower for 90% confidence than for 95% confidence. d) narrower when the sample proportion is 0.50 than when the sample proportion is 0.20. ANSWER: c TYPE: MC DIFFICULTY: Moderate KEYWORDS: confidence interval
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entertain the people and agree with the fact that I hunt lions and run down cheetahs, with the intent to shut them up. It backfired, they took my sarcasm as the truth and that was a negative influence in my life. I had a passive nature and the lack of confidence in middle school. My peers took advantage of my kindness. Their brutal word that made all my peers laugh, and made my already sore heart burst in tears in which overflows and come out of my eyes. I was a tall kid. I had a slim stature, big feet
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variance, and standard deviation for a discrete random variable. Ch-8: ( Learning Objectives: Only Section 2) 1. Know how to construct and interpret an interval estimate of a population mean and / or a population proportion. 2. Understand and be able to compute the margin of error. 3. Learn about the t distribution and its use in constructing an interval estimate whenis unknown for a 4. Be able to determine the size of a simple random sample necessary to estimate a population mean and/or a population
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position to support my arguments with facts and figures and gain the confidence of the person. I wish I were a good orator and frame the sentences with words that are hitting the right notes. A charismatic orator has a great influence on his listeners and the listeners will be keenly waiting for each word coming out. The listener hooking on to your words is the first sign that I have an upper hand on them. This gives me lot of confidence to present my observations to the table and sail through the
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