Chapter 4 Descriptive Statistics Upload the completed assignment using the file extension format Lastname_Firstname_Week3.doc. Assignment (32 points due by 11 pm October 14th) 1) The file ‘FastFood’ contains the amount that a sample of nine customers spent for lunch (in $) at a fast food restaurant. a) Compute the mean and the median. b) Compute the variance‚ standard deviation‚ range‚ and co-efficient of variation. c) Are the data skewed? If so‚ how? 2) The file ‘ChocolateChip’
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Communication 3300: Business and Professional Presentations MANAGERIAL COMMUNICATION REPORT TO: Mr. Hopton FROM: John Banders SUBJECT: Managerial Report: Constructing Your Professional Business Image DATE: December 13‚ 2007 In today’s politically correct climate we are not supposed to give any credence to the fact that people can be and are routinely discriminated against because of their appearance. Unfortunately‚ in our politically correct world‚ perception is reality. Corporations
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Descripitive Statistics Paper Descriptive Statistics Paper Laura L. Mason‚ Becky Matlock‚ and Nichole Noble RES/341 June 15‚ 2011 David Morrisson Descriptive Statistics Paper Major League Baseball is known as America’s favorite pastime‚ and MLB teams spend an extensive amount of money in the excess of a billion dollars with the ultimate goal to win the World Series. This learning team’s focus throughout this descriptive statistics paper is the MLB players’ performances‚ salaries‚ salary
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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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phenomena of crime what about rape‚ homicide etc. that would be adding more variables to the set so that you can measure all different types of crime and get the actual rate of crime. 2. Differentiate between descriptive statistics and inferential statistics. a. Descriptive statistics summarizes and describe the data on cases included in the study. You are only describing what’s going on with the data from the case at hand. For example‚ you interviewed 100 people about which fast food restaurant
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Most Probable Pessimistic A B C 4 6 2 6 8 4 8 16 6 Page 1 D E F G H I J K 8 7 4 4 4 4 3 2 10 10 6 6 6 6 4 4 24 13 8 20 8 14 5 6 Managerial Report Develop a report that present the activity schedule and expected project completion time for the warehouse expansion project. Include a project network in the report. In addition‚ take into consideration the following issues: 1. R. C. Coleman’s top management established a required 40-week completion
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San Francisco‚ or the “de Young” takes its name after one of the first San Franciscan journalists M.H. de young and together with the Legion of Honor comprises the Fine Arts Museums within Golden Gate Park’s 1‚017 acres was inaugurated in 1895‚ reconstructed and open in 2005 the new building is 293‚000-square-foot (27‚000-square-meter). Located in the park are gardens‚ playgrounds‚ lakes‚ picnic groves‚ trails‚ and monuments‚ plus an array of cultural venues. The de Young has its own magnificent presence
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which stated the sources as being for all the 50 states of the US (i.e. sample size of 50) and were gathered from various sources‚ including a variety of US government sources‚ among which are: the 1988 Uniform Crime Reports‚ Federal Bureau of Investigation‚ Office Research and Statistics‚ Social Security Administration‚ The Commerce Department and other government sources. The variables analyzed are as follows: CRIMES - Property crime rate per hundred thousand inhabitants (includes burglary‚ larceny
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chapter 2 Chapter 2 Descriptive Statistics: Tabular and Graphical Presentations Learning Objectives 1. Learn how to construct and interpret summarization procedures for qualitative data such as : frequency and relative frequency distributions‚ bar graphs and pie charts. 2. Learn how to construct and interpret tabular summarization procedures for quantitative data such as: frequency and relative frequency distributions‚ cumulative frequency and cumulative
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Fitness Center Report With the launch of AJ’s Fitness and as their current MBA intern‚ I was tasked with analyzing the results of a recent survey that was given the fitness center’s current members. Of the 1‚833 members surveyed‚ we receive 133 usable responses. The following report details an analysis of the results from the membership survey‚ as well as some suggested changes that can be implemented by new management to increase overall membership satisfaction. Overall Satisfaction &
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