United States in 2005. e. The advertising medium (radio‚ television‚ or print) used to promote a product. 2. Classify each of the following qualitative variables as ordinal or nominative. Explain your answers. Qualitative Variables Categories Statistics course letter grade A B C D F Door choice on Let’s Make A Deal Door﹟1 Door﹟2 Personal computer ownership Yes No Restaurant rating ***** **** *** ** * Incoming tax filing status Married filing jointly; Married filing separately; Single;
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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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Official Statistics on crime are often likened to the ¡§tip of an Iceberg¡¨. Critically assess this assertion in light of the ¡§dark figure¡¨ of crime and any new forms of data that can provide a clearer picture of the true extent of crime. Crime is continuously changing in its definition in people¡¦s perceptions with no complex classification being universally accepted. This forms the basis of the problems faced when attempting to count crime‚ who determines what crime is; the government of
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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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$145‚ $125‚ $139. Calculate the mean and sample variance(s^2) and standard deviation. Mean = 807/6 = 134.5. Sample Variance = (109925 – (807^2/6)/6-1 = (109925 – 108541)/5 = 1384/5 = 276.8. Standard Deviation = √276.8 = 16.6373. ***the 109925 is all values of x individually squared and then summed together. ***the 6-1 is because it is a sample‚ if this were a population it would just be 6. ***the 807 is the sum off all x. Coefficient of Variation = (16.63/134.5)*100 = 12.3643. Calculate
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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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Practice Problems 1-KEY 1. The closing stock price of Ahmadi‚ Inc. for a sample of 10 trading days is shown below. Day Stock Price 1 84 2 87 3 84 4 88 5 85 6 90 7 91 8 83 9 82 10 86 For the above sample‚ compute the following measures. a. b. c. The mean = ∑X/n = 860/10 = 86 The median = (85+86)/2 = 85.5 The variance = ∑ X - X 2/ n-1 = {(84-86)2 + (87-86)2 + (84-86)2 + (88-86)2 + (85-86)2 + (90-86)2 + (91-86)2 + (83The standard deviation = √8.89 = 2.98 The coefficient of variation = 2.98/86 * 100%
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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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football fans on the go‚ STATS delivers a customized mobile Web product with complete season editorial and statistics. iPhone Application STATS’ developers have engineered a premium white-label iPhone Solution. STATS delivers branded standalone iPhone applications covering all the exciting global football action. Fantasy Games STATS stands alone as the only innovative provider of sports statistics and fantasy game development. STATS can provide predictors or comprehensive white-label fantasy solutions
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ECO 72 INTRODUCTION TO ECONOMIC STATISTICS Topic 2 Measures of Central Tendency These slides are copyright © 2003 by Tavis Barr. This material may be distributed only subject to the terms and conditions set forth in the Open Publication License‚ v1.0 or later (the latest version is presently available at http://www.opencontent.org/openpub/). Measures of Central Tendency This chapter looks at three different concepts of how we describe a “typical” element of a data set. Mean
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