know about statistical ideas and techniques • The “must-know” formulas and calculations • Core topics in quick‚ focused lessons Deborah Rumsey‚ PhD Auxiliary Professor and Statistics Education Specialist‚ The Ohio State University Statistics Essentials FOR DUMmIES ‰ by Deborah Rumsey‚ PhD Statistics Essentials For Dummies® Published by Wiley Publishing‚ Inc. 111 River St. Hoboken‚ NJ 07030-5774 www.wiley.com Copyright © 2010 by Wiley Publishing‚ Inc.‚ Indianapolis‚ Indiana
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Descriptive Statistics Descriptive statistics is the analysis of data that summarize data in a way such that‚ meaningful patterns emerge from the data. Descriptive statistics do not allow us to reach to the conclusions beyond the data we have analyzed regarding any hypotheses we might have made. They simply describe our data. Measures of Central Tendency: these are ways of describing the central position of a frequency distribution for a group of data through: Mode: Sum of all observations divided
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Statistics Investigation Introduction A new drug was developed that was claimed to lower the cholesterol level in humans. A leading heart specialist was interested to know if the claim made by the company selling the drug was accurate. They enlisted the help of 50 patients. They agreed to take part in an experiment in which 25 patients would be randomly allocated to a group that would take the new drug and the other 25 would take an identical looking pill that was a placebo (a sugar pill that
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Research and statistics for managerial decision making Assignment 2 Mohammed Ahmed Ali
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Crime Statistics The crime statistics focus on giving out specific detailed information to the public and the government of United States about all the crime taken place in a certain period of time. The crime related information for the statistics is collected and published by different federal government agencies such as FBI‚ the department of Justice‚ the National Institute of Justice‚ etc. The statistics include data about how much crime is there; when and where crime occurs; what type of crime
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a) From the diagram‚ we get when R1 = 2kpc‚ v1 = 200km/s R2 = 5kpc‚ v2 = 220km/s R3 = 10kpc‚ v3 = 225km/s R4= 15kpc‚ v4 = 220km/s R5 = 20kpc‚ v5 = 222km/s R6 = 25kpc‚ v6 = 223km/s v2 = GMR/R MR = v2R/G M1 = (2000002*2000*3.09*1016)/(6.67*10-11) = 3.706*1040kg M2 = (2200002*5000*3.09*1016)/(6.67*10-11) = 1.12*1041 kg M3 = (2250002*10000*3.09*1016)/(6.67*10-11) = 2.35*1041kg M4 = (2200002*15000*3.09*1016)/(6.67*10-11) = 3.36*1041kg M5 = (2220002*20000*3.09*1016)/(6.67*10-11)
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1. Question : (TCO F) For which situation(s) below would an organization be more likely to use a job-order costing system of accumulating product costs rather than a process costing system? Student Answer: A steel factory that processes iron ore into steel bars A factory that processes sugar and other ingredients into black licorice A costume maker that makes specialty costumes for figure skaters All of these Instructor Explanation: Chapter 3 Points
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1-2 Test 100 points In order to receive full credit‚ please show all work for every problem. You are welcome to use your calculator‚ book and notes‚ but please take this test on your own. 1. In your own words‚ explain what parameters and statistics are and what the difference is between them. Give an example to clarify. (10 points) 2. According to Consumer Reports‚ a random sample of 35 new cars gave an average of 21.1 mpg. What is the variable being studied? What is
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September 16th‚ 2012 This week’s assignment is about the use of misleading statistics. Companies and individuals use statistics in a variety of way in order to provide information on certain things. The use of misleading statistics‚ while not ethical‚ could be viewed as valuable‚ if it increases profit margins or awareness of the stated topic of the statistic in a biased way. Question number 8 provides a statistic that Vitamin E is an antioxidant that may help fight heart disease and cancer
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Inferential Statistics Drawing Conclusions based on Samples Introduction This chapter introduces how you can use data from a sample to draw conclusions about the larger population from which the sample was taken. Data often arises from the results of a survey of individuals. For example‚ the management of a fast food chain might be interested in determining the total number of dollars that Baylor students spend each year eating in Waco fast food restaurants. The fast food chain would
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