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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Descriptive Statistics QNT/561 July 29‚ 2014 Descriptive Statistics Job Satisfaction Central Tendency: Mean=8.5 JDI Dispersion: Standard Deviation=1.16 JDI Number: 139 Min/Max: 7 to 10 JDI Confidence Interval: 8.36 to 8.75 JDI *JDI=Job Descriptive Index Months of Employment Central Tendency: Mean= 136.24 Months Dispersion: Standard Deviation= 117.26 Months Number: 139 Min/Max: 1 to 359 Months Confidence Interval: 116.74 to 155.73 Months Descriptive
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45‚50‚51‚56‚61‚61‚64‚65‚67 - The median of the wait times is 39 minutes. c. Find the range of the times. Range is defined as the difference between the largest and the smallest values in the data set. QNT 561 – Week 1 Problem Set 3 - The largest value in the set of times is 67 and the smallest is 23. - 67-23 = 44 d. Find the
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Chapter 8 Exercise 21 What is sampling error? It is the difference between the sample mean and the population mean Could the value of the sampling error be zero? Yes it is possible to have a zero sampling error. However‚ it is very low probability that this could happen. If it were zero‚ what would this mean? This means that the population is uniform and the sample mean and the population mean are equal. Exercise 22 List the reasons for sampling. Give an example of each reason for
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Individual Assignment: Types of Surveys Question 5 on p. 270 of Business Research Methods. Patricia Figueroa November 17‚ 2009 Qnt 561 Christopher Ajagu In the following situations‚ decide whether you would use a personal interview‚ telephone survey‚ or self-administered questionnaire. Give your reasons. a A survey of the residents of a new subdivision on why they happened to select that area in which to live. You also wish to secure some information
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Name Assignment QNT/561 Date Descriptive Statistics Sales (in USD) The distribution is normally distributed. Central Tendency: Mean = 42.84 dollars. Dispersion: Standard deviation = 9.073 dollars. Count: 100 Min/Max: Min is $23.00; Max is $64.00 Confidence Interval (alpha = 0.05): $41.06 to $44.62 The histogram is present in Appendix A; the descriptive statistics are present in Appendix B. Age The distribution is not normally distributed. Central Tendency: Median = 35 years Dispersion:
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Central Limit Theorem and Confidence Intervals Problem Sets Tiffany Blount QNT 561 September 7‚ 2010 Michelle Barnet University of Phoenix Central Limit Theorem and Confidence Intervals Problem Sets Chapter 8 Exercises: 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. It is not impossible for the sampling error
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GMB 713 PROBLEM SET NO. 2 PROBLEM SOLVING: Solve the following problems. Show all pertinent solutions. 1. A car battery dealer is trying to determine which of the brands of car battery he is selling has a longer life span. He conducted an investigation by interview his customers and was able to get the following results: Brand X Brand Y Mean life span 4.5 years 4.9 years Standard deviation
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Chapt 10 # 42 H0: game length is >= 3.5 hours Ha: game length is < 3.5 hours mean = 2.9553 stdev = 0.5596 Get the t test statistic: t = (x-mu)/(stdev/sqrt(N)) t = (2.9553-3.5)/(0.5596/sqrt(17)) t = -4.0133 Get the critical value for df = N-1 = 16‚ one tail‚ alpha is 0.05: -1.7459 Since our test statistic is much lower than the critical value‚ we reject the null hypothesis. There is enough evidence to conclude that games are shorter than 3.50 hours. Chapt 11 # 58 The amount
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mean of a random variable weights each outcome xi according to its probability‚ pi. The mean also of a random variable provides the long-run average of the variable‚ or the expected average outcome over many observations.The common symbol for the mean (also known as the expected value of X) is ‚ formally defined by Variance - The variance of a discrete random variable X measures the spread‚ or variability‚ of the distribution‚ and is defined by The standard deviation is the square root of
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