Review Questions for the Midterm Exam Part I. All the Homeworks and Quizzes (50% of the Midterm Exam) Part II. Additional Review Questions 1. Which of the following statements is correct? a) The range is a measure of central tendency. b) The median is a measure of dispersion. c) For a symmetric distribution‚ the mean is equal to the median. d) For a skewed distribution‚ the variance is a negative number. e) The variance is a measure of central tendency. 2. After
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QUESTION 3 (20 MARKS) a. A psychological test identifies people as being one of eight types. For instance‚ Type 1 is “Rationalist” and applies to 15% of men 8 % of women. Type 2 is “Teacher” and applies to 12% of men and 14% of women. Each person fits one and only one type. (i) Suppose college roommates have a particularly hard time getting along with each other if they are both ‘ Rationalist’. A college randomly assigns roommates of the same gender. Assuming that half of college roomate pairs
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1. A radio station that plays classical music has a “By Request” program each Saturday night. The percentage of requests for composers on a particular night are listed below: Composers Percentage of Requests Bach 5 Beethoven 26 Brahms 9 Dvorak 2 Mendelssohn 3 Mozart 21 Schubert 12 Schumann 7 Tchaikovsky 14 Wagner 1 a. Does the data listed above comprise a valid probability distribution? Explain.
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History and Development of Statistics Simple forms of statistics have been used since the beginning of civilization‚ when pictorial representations or other symbols were used to record numbers of people‚ animals‚ and inanimate objects on skins‚ slabs‚ or sticks of wood and the walls of caves. Before 3000 BC theBabylonians used small clay tablets to record tabulations of agricultural yields and of commodities bartered or sold. The Egyptians analyzed the population and material wealth of their country
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STATISTICS CHAPTER 1 NOTES DATA: consists of information coming from observations‚ counts‚ measurements‚ or responses. STATISTICS: is the science of collecting‚ organizing‚ analyzing‚ and interpreting data in order to make decisions. DATA SETS: -POPULATION: is the collection of all outcomes‚ responses‚ measurements or counts that are of interest -SAMPLE: is a subset or part of a population EXAMPLE OF POPULATION: The age of each resident in an apartment building EXAMPLE OF SAMPLE:
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Association [ASA]‚ 2008). Statistics is a division of mathematics that centers on the collection and evaluation of data‚ which can be drawn upon to make conclusions (Aron‚ Aron‚ & Coups‚ 2006‚ 2). Two branches of statistics exist‚ including descriptive and inferential domains. Extrapolation beyond the data is where the real difference emerges. Indeed‚ these two subcategories vary in function and definition. However‚ a relationship exists between descriptive and inferential statistics‚ irrespective of the
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eliminated‚ that is‚ . This statistic ranges from -1 to +1. Absolute values above 0.2 indicate great skewness (Hildebrand‚ 1986). Skewness has also been defined with respect to the third moment about the mean: ‚ which is simply the expected value of the distribution of cubed z scores. Skewness measured in this way is sometimes referred to as “Fisher’s skewness.” When the deviations from the mean are greater in one direction than in the other direction‚ this statistic will deviate from zero in
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Statistics can be defined as “ the science that deals with the collection‚ classification‚ analysis‚ and interpretation of numerical facts of data‚ and that‚ by use of mathematical theories of probability‚ imposes order and regularity on aggregates of more or less disparate elements” (Dictionary.com‚ LLC‚ 2008). Yet how do we use these specific elements in our everyday working lives? Many don’t realize the extent to which we as a culture base our decisions on statistics. We us them in something
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STAT 231 (Winter 2012 - 1121) Honours Statistics Prof. R. Metzger University of Waterloo A LTEXer: W. Kong Last Revision: April 3‚ 2012 Table of Contents 1 PPDAC 1.1 1.2 1.3 1.4 1.5 2 Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Plan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Analysis . . . . .
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Definition: Statistics is the study of the collection‚ organization‚ analysis‚ interpretation and presentation of data. It deals with all aspects of this‚ including the planning of data collection in terms of the design of surveys and experiments. A statistician is someone who is particularly well-versed in the ways of thinking necessary for the successful application of statistical analysis. Such people have often gained experience through working in any of a wide number of fields. Some
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