| Chapter | | Lesson 1 | The Nature of Statistics1.1 Statistics basics1.2 Simple random sampling1.3 Other sampling designs | 1 | | Lesson 2 | Organizing Data2.1 Variables & data2.2-3 Quantitative & qualitative data2.4 Distribution shapes | 2 | | Lesson 3 | Descriptive Measures3.2 Measures of centre & variation3.3 Five-number summary: Boxplots3.4 Use of samples | 3 | | Lesson 4 | Probability 1 – Basics4.1 Probability basics4.2 Events 4.3 Some rules of probability
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TLFeBOOK FUNDAMENTALS OF PROBABILITY AND STATISTICS FOR ENGINEERS T.T. Soong State University of New York at Buffalo‚ Buffalo‚ New York‚ USA TLFeBOOK TLFeBOOK FUNDAMENTALS OF PROBABILITY AND STATISTICS FOR ENGINEERS TLFeBOOK TLFeBOOK FUNDAMENTALS OF PROBABILITY AND STATISTICS FOR ENGINEERS T.T. Soong State University of New York at Buffalo‚ Buffalo‚ New York‚ USA TLFeBOOK Copyright 2004 John Wiley & Sons Ltd‚ The Atrium‚ Southern G ate‚ Chichester‚ West
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The objective of this paper is to analyze and evaluate the operations strategy of Zara. To do this‚ it will be used the operation strategy matrix‚ that defines on the vertical side the performance objectives of the company and on the horizontal side the different areas in which decisions can be made. The intersection of both will show which the critical areas of Zara’s operations are. In order to reach a deep level of analysis‚ it is very important the task of defining both the performance objectives
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coordinator of your study centre. “Statistical unit is necessary not only for the collection of data‚ but also for the interpretation and presentation”. Explain the statement. Find the standard deviation and coefficient of skewness for the following distribution Variable 0-5 5-10 10-15 15-20 20-25 25-30 30-35 35-40 Frequency 2 5 7 13 21 16 8 3 A salesman has a 60% chance of making a sale to any one customer. The behaviour of successive customers is independent. If two customers
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indicator of economic welfare. Moreover‚ economic welfare‚ amongst other components‚ composes of a society’s level of happiness. GDP can provide an indication of such levels‚ however is not a sufficient measure. Furthermore‚ GDP does not reflect the distribution of income within a society; a figure representing overall growth in a economy may only apply to a minority of the population‚ but this is not conveyed. It is argued that GDP is a deficient measure of an economy’s welfare as it was primarily designed
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location is affected most by extreme values? 3. Which level of measurement is required for the median? 4. In which of the following distributions is the probability of a success usually small? 5. Which of the following is not a requirement of a probability distribution? 6. Which of the following is not a requirement of a binomial distribution? 7. A sample 8. The difference between the sample mean and the population mean is called the 9. Suppose a population consisted of
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small minority of people who have the monopoly of wealth‚ while the majority are just getting by. Morality questions the unequal distribution of wealth by judging behaviour and people in terms of whether they meet the moral standard. In this essay‚ I will look at the egalitarian and utilitarian perspectives on distributive justice (focusing mainly on income distribution) to show that inequality in contemporary South Africa is immoral. Inequality in South Africa Firstly‚ a distinction needs to
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Probability Distributions Copyright ©2012 Pearson Education‚ Inc. publishing as Prentice Hall Chap 5-1 Learning Objectives In this chapter‚ you learn: The properties of a probability distribution To compute the expected value and variance of a probability distribution To calculate the covariance and understand its use in finance To compute probabilities from binomial‚ hypergeometric‚ and Poisson distributions How to use the binomial‚ hypergeometric‚ and Poisson distributions to solve
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Variables Definition Random variables that can assume any vallue in an interval. Term Expected Value Definition The mean of a probability distribution. the average value when the experiment that generates values for the random variables is repreated over the long run. Term Binomial Probability Distribution characteristics Definition A distribution that gives the probability of x successes in n trials in a process that meets certain conditions. Term Binomial Prob. Dist. characteristics
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Chapter 2—Introduction to Probability PROBLEM 1. A market study taken at a local sporting goods store showed that of 20 people questioned‚ 6 owned tents‚ 10 owned sleeping bags‚ 8 owned camping stoves‚ 4 owned both tents and camping stoves‚ and 4 owned both sleeping bags and camping stoves. Let: Event A = owns a tent Event B = owns a sleeping bag Event C = owns a camping stove and let the sample space be the 20 people questioned. a. Find P(A)‚ P(B)‚ P(C)‚ P(A C)‚ P(B C). b
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