Business statistics 1, quantitative methods 1
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Business statistics 1, quantitative methods 1
BusinessStatistics I: QM 1Lecture TÍotesStefan Waner(5th printing: 2003)Department of Mathematics, Hofstra UniversityBUSINESS Statistcs I: QM 001 (5th Business statistics 1, quantitative methods 1 h printing: 2003)LECTURE Notes by Stefan WanerTable of Contents0. Introduction...................................................21Describing Data Graphically....................................32Measures of Central Tendency and Variability..................83Chebyshev's Rule & The Empirical Rule... Business statistics 1, quantitative methods 1 *....................134 Introduction to Probability..*.................................155. Unions. Intersections, and Complements...................Business statistics 1, quantitative methods 1
.....236 Conditional Probability & Independent Events...................287. Discrete Random Variables.....................................338 BinomiaBusinessStatistics I: QM 1Lecture TÍotesStefan Waner(5th printing: 2003)Department of Mathematics, Hofstra UniversityBUSINESS Statistcs I: QM 001 (5th Business statistics 1, quantitative methods 1 s: Uniform and Normal............. 4611Sampling Distributions and Central Limit Theorem..............5512Confidence Interval for a Population Mean.....................6113Introduction to Hypothesis Testing..........................6614 Observed Significance & Small Samples.........................72 Business statistics 1, quantitative methods 1 15. Confidence Intervals and Hypothesis Testing for the Proportion.75INote: Throughout these notes, all references to the “book” refer to the class teBusiness statistics 1, quantitative methods 1
xt: “Statistics fur Business and Economics” 8th Ed.by Anderson. Sweeney, Williams (South-WesternT homson Learning, 2002)Topic 0 IntroductionQ: What isBusinessStatistics I: QM 1Lecture TÍotesStefan Waner(5th printing: 2003)Department of Mathematics, Hofstra UniversityBUSINESS Statistcs I: QM 001 (5th Business statistics 1, quantitative methods 1 , and (C) interpretation of data.(A)Collection and organization of data: We will sec several methods of organizing data: graphically (through the use of duals and graphs) and numerically (through the use of fables of data). The type of organization we do depends on the type of analysts we wish to pe Business statistics 1, quantitative methods 1 rform.Quick Example Let US collect the status (freshman. sophomore, junior, senior) of a group of 20 smdents in this class. We could then organize theBusiness statistics 1, quantitative methods 1
data in any of rhe above ways.(B)Analysis of data: Once the data is organized, we can go ahead and compute various quantities (called statistics or pBusinessStatistics I: QM 1Lecture TÍotesStefan Waner(5th printing: 2003)Department of Mathematics, Hofstra UniversityBUSINESS Statistcs I: QM 001 (5th Business statistics 1, quantitative methods 1 ave performed the analysis, we can use the information to make assertions about the real world (e.g. the average student in this class has completed X years of college) Business statistics 1, quantitative methods 1 BusinessStatistics I: QM 1Lecture TÍotesStefan Waner(5th printing: 2003)Department of Mathematics, Hofstra UniversityBUSINESS Statistcs I: QM 001 (5thGọi ngay
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