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    Q1. (a) ‘Statistics is the backbone of decision-making’. Comment. Ans.(a) Due to advanced communication network‚ rapid changes in consumer behavior‚ varied expectations of variety of consumers and new market openings‚ modern managers have a difficult task of making quick and appropriate decisions. Therefore‚ there is a need for them to depend more upon quantitative techniques like mathematical models‚ statistics‚ operations research and econometrics. Decision making is a key part of our day-to-day

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    November 19‚ 2010 NAME: The Statistics of Poverty and Inequality TYPE: Sample SIZE: 97 observations‚ 8 variables DESCRIPTIVE ABSTRACT: For 97 countries in the world‚ data are given for birth rates‚ death rates‚ infant death rates‚ life expectancies for males and females‚ and Gross National Product. SOURCES: Day‚ A. (ed.) (1992)‚ _The Annual Register 1992_‚ 234‚ London: Longmans. _U.N.E.S.C.O. 1990 Demographic Year Book_ (1990)‚ New York: United Nations. VARIABLE DESCRIPTIONS: Columns 1 -

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    Research Design and Statistics Concepts Worksheet Senthil Kumar University of Phoenix Research Design and Statistics Concepts Worksheet Concept Application of Concept in Scenario Reference to Concept in Reading Levels of Measurement: There are four different levels of measurements: 1. Nominal 2. Ordinal 3. Ordinal. 4. Interval. 5. Ratio. These different levels of measurement useful in business. New board member and statistician Bea Hansen pointed out that the data collected

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    Descriptive and Inferential Statistics Statistical methods in psychology have two main branches‚ which are descriptive and inferential. They each play a major part in the data that is collected for research and other studies. This paper will show the functions of statistics‚ how descriptive and inferential statistics are defined and the relationship between the two. Statistics is a necessary tool in psychology. It provides data for research studies as well as providing background information and

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    APPLIED PROBABILITY AND STATISTICS APPLIED PROBABILITY AND STATISTICS DEPARTMENT OF COMPUTER SCIENCE DEPARTMENT OF COMPUTER SCIENCE STATISTICAL DISTRIBUTION STATISTICAL DISTRIBUTION SUBMITTED BY – PREETISH MISHRA (11BCE0386) NUPUR KHANNA (11BCE0254) SUBMITTED BY – PREETISH MISHRA (11BCE0386) NUPUR KHANNA (11BCE0254) SUBMITTED TO – PROFESSOR SUJATHA V. SUBMITTED TO – PROFESSOR SUJATHA V

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    Does asymptotic mean that the normal curve gets closer and closer to the X-axis but never actually touches it? Yes‚ asymptotic means that the curve of a line will approach 0 (the x-axis)‚ but it will not touch 0 and instead will extend to infinity. In this class‚ this applies to the normal continuous distribution and is one of the 4 key characteristics of a normal continuous distribution that our text book discusses. This means that the curve of the line will extend infinitely in both the negative

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    |T F |1. |If on average y increases as x increases‚ the correlation coefficient is positive. | |T F |2. |Pearson’s correlation coefficient‚ r‚ does not depend on the units of measurement of the two variables. | |T F |3. |The value of Pearson’s r is always between 0 and 1. | |T F |4. |If r is close to 1‚ then the points lie close to a straight line with a positive

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    longer-lasting golf ball. Therefore‚ the research group at Par has been investigating a new golf ball coating designed to resist cuts and provide a more durable golf. The tests with the coating have been promising. One of the researchers voiced concern about the effect of the new coating on driving distances. Par would like the new cut-resistant ball to offer driving distances comparable to those of the current-model golf ball. To compare the driving distances for the two balls‚ 40 balls of both the new and current

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    sample is less than 95? 0.0091 Which of the following accurately describes a hypothesis test? An inferential technique that uses the data from a sample to draw inferences about a population. What is measured by the denominator of the z-score test statistic? The

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    Practice Question #1: A gambler claims he can predict the roll of a die more often than chance would predict. To test this‚ a die is rolled 100 times and the gambler guesses the number that comes up twenty times and guesses incorrectly the other eighty times. Is this strong evidence that the gambler’s claim is true? a. Specify the null and alternative hypothesis for this problem. p = probability gambler guess correctly for an individual roll null (Ho): p = 1/6 alternative (Ha): p > 1/6 b

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