"Descriptive statistics and probability distributions problem sets" Essays and Research Papers

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    The Collier Encyclopedia’s definition for probability is the concern for events that are not certain and the reasonableness of one expectation over another. These expectations are usually based on some facts about past events or what is known as statistics. Collier describes statistics to be the science of the classification and manipulation of data in order to draw inferences. Inferences here can be read to mean expectations‚ leading to the conclusion that the two go hand in hand in accomplishing

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    new Household appliance to potential customers. She has found from her years of experience that after demonstration‚ the probability of purchase (long run average) is 0.30. To perform satisfactory on the job‚ the salesperson needs at least four orders this week. If she performs 15 demonstrations this week‚ what is the probability of her being satisfactory? What is the probability of between 4 and 8 (inclusive) orders? Solution p=0.30 q=0.70 n=15 k=4 [pic] Using Megastat we get

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    Descriptive Statistics

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    CHAPTER TWO DESCRIPTIVE STATISTICS: TABULAR AND GRAPHICAL PRESENTATIONS MULTIPLE CHOICE QUESTIONS 1. A frequency distribution is a tabular summary of data showing the a. fraction of items in several classes b. percentage of items in several classes c. relative percentage of items in several classes d. number of items in several classes Answer: d 2. A frequency distribution is a. a tabular summary of a set of data showing the relative frequency b. a graphical form of

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    Descriptive Statistics

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    Descriptive Statistics One of the most beloved sports in America is Major League Baseball. This professional sport spends billions of dollars each year enhancing the chances to reach the ultimate goal in winning the World Series. Major League Baseball is one of the few remaining sports that have an uneven balance in the franchise wage capacity to acquire top talented players. The areas of concentration in this research paper will be player salaries‚ winning percentage‚ player performance

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    Muli‚ Laurah N. BSMA 2C Table 1 shows the descriptive statistics about the 74 models of automobiles released in the year 1978‚ these include the automobiles’ price‚ mileage‚ repair record‚ headroom‚ trunk space‚ weight‚ length‚ turn circle‚ displacement and the gear ratio with its corresponding results. In terms of automobiles’ price‚ it ranges to $3‚291.00 up to $15‚906.00 for the period of the said year. Its average price is $6‚165.26 with a standard deviation of $2‚949.50. It can be seen

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    list of top 100 banks in the United States according to the total assets. Leading the list was Bank of America‚ followed by JP Morgan Chase and Citibank. Following is an Excel Analysis of total assets ($ billions) of these banks using the descriptive statistics feature. Study the output and describe what you can learn about the assets of these top 100 banks from the output. Top 100 Banks in the U.S Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum

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    Professor Dumonceaux Descriptive Statistics Paper 2 June 2014 Finding a New Home According to Trochim‚ “Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphics analysis‚ they form the basis of virtually every quantitative analysis of data” (Trochim‚ 2006). For many years‚ many studies and researches have been done in real estate market. Buyers need to conduct researches

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    Discrete and Continuous Probability All probability distributions can be categorized as discrete probability distributions or as continuous probability distributions (stattrek.com). A random variable is represented by “x” and it is the result of the discrete or continuous probability. A discrete probability is a random variable that can either be a finite or infinite of countable numbers. For example‚ the number of people who are online at the same time taking a statistics class at CTU on a given

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    Chapter 1 Nature of Probability and Statistics OBJECTIVES Demonstrate knowledge of statistical terms. Differentiate between the two branches of statistics. Identify types of data. Identify the measurement level for each variable. Identify the four basic sampling techniques. Explain the difference between an observational and an experimental study. Explain how statistics can be used and misused. Explain the importance of computers and calculators in statistics. Statistics is the science of conducting

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    Business Statistics Chapter 5 Some Important Discrete Probability Distributions 5-1 Chapter Goals After completing this chapter‚ you should be able to:  Interpret the mean and standard deviation for a discrete probability distribution  Explain covariance and its application in finance  Use the binomial probability distribution to find probabilities  Describe when to apply the binomial distribution  Use Poisson discrete probability distributions to find probabilities 5-2 Definitions Random

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