Kamlesh‚ Mathur‚ Daniel Solow. Management Science - The Art of Decision Making. Prentice Hall‚ 1994. 4 Jon Curwin and Roger Slater. Quantitative Methods for Business Decisions. Thomson‚ fifth edition‚ 2002. 5 Steyn‚ Smit‚ Du Toit‚ Strasheim. Modern Statistics in Practice. Van Schaik Publishers‚ 1994. 295
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German Luxury-Car Makers Look Beyond Home Market BMW to expand Plant in U.S.‚ Daimler Will Boost Investment in China Venture By William Boston and Neal E. Boudette Updated March 28‚ 2014 2:56 p.m. ET A new BMW X4 is unveiled last Friday at the BMW manufacturing plant in Greer‚ South Carolina as the Germany luxury auto maker announced a $1 billion expansion for the plant. Associated Press German luxury car manufacturers BMW AG and Daimler AG have unveiled plans to spend billions on new car
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Lecture Notes on Introductory Statistics‚ I (P.P. Leung) Lecture notes are based on the following textbook: N.A. Weiss (2012)‚ Introductory Statistics‚ 9th edition‚ Pearson. Chapter 1 The Nature of Statistics 統計本質 §1.1 Two kinds of Statistics §1.4 Other Sampling Designs (其他抽樣方法) Chapter 1 The Nature of Statistics 統計本質 What is Statistics? 何謂統計? From Wikipedia‚ the free encyclopaedia: Statistics is a mathematical science pertaining to the collection‚ analysis‚ interpretation
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Normal(88.532‚5.07943) Normal(97.1033‚5.04488) Normal(107.15‚5.15367) Summary Statistics Mean 88.532 Std Dev 5.0794269 Std Err Mean 0.2271589 Upper 95% Mean 88.978306 Lower 95% Mean 88.085694 N 500 Sum 44266 Summary Statistics Mean 97.103333 Std Dev 5.0448811 Std Err Mean 0.2912663 Upper 95% Mean 97.676525 Lower 95% Mean 96.530142 N 300 Sum 29131 Summary Statistics Mean 107.15 Std Dev 5.1536687 Std Err Mean
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Organization of Terms Experimental Design Descriptive Inferential Population Parameter Sample Random Bias Statistic Types of Variables Graphs Measurement scales Nominal Ordinal Interval Ratio Qualitative Quantitative Independent Dependent Bar Graph Histogram Box plot Scatterplot Measures of Center Spread Shape Mean Median Mode Range Variance Standard deviation Skewness Kurtosis Tests of Association Inference Correlation Regression Slope y-intercept
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The Filipino Shoe Industry The shoe industry in the Philippines is modest in size‚ is made up largely of very small units of production with low levels of capitalization‚ pays meager wages‚ even by local standards‚ and is characterized by much informalization of employment structures. The industry is strongly concentrated in geographic terms. The National Capital Region‚ which includes Marikina City‚ is by far the dominant center of the industry with 39.3 percent of all establishments and 53
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Case Analysis – Oliver’s Market Overview: Oliver’s was founded in 1988 in Cotati‚ California by Steve Oliver Maass and his wife‚ Ruth Maass. Maass bought the then bankrupt Cotati Farmer’s Market for $200‚000. The place was in bad shape and they didn’t have much money to spend without any profits coming in. They painted it‚ deep cleaned it‚ and opened it for business. In 1990‚ Oliver’s added a deli. In 1991‚ they added an aisle of health foods. By 1994 they expanded the store with an additional
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Scatterplots 4 Pearson’s Correlation 4 Spearman’s Rho 4 Probability 4 Binomial Distribution 4 Assumptions: 5 Subjective Probability 5 Normal Distribution 5 Standard Normal Distribution 5 Sampling Distribution 5 Standard Error of Statistic 5 Central Limit Theorem 5 Area under the Sampling Distribution of the Mean 6 Sampling Distribution‚ Difference between Independent means 6 Sampling Distribution of a Linear Combination of Means 6 Sampling Distribution of Pearson’s R 7
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Resources Institute Expanding the Playing Field: Nike’s World Shoe Project Teaching Note For more than a decade‚ WRI’s Sustainable Enterprise Program (SEP) has harnessed the power of business to create profitable solutions to environment and development challenges. BELL‚ a project of SEP‚ is focused on working with managers and academics to make companies more competitive by approaching social and environmental challenges as unmet market needs that provide business growth opportunities through entrepreneurship
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STUDENT PERFORMANCE DETERMINANTS IN A BUSINESS STATISTICS COURSE AT A LARGE URBAN INSTITUTION CIS 3300 November 30‚ 2012 INTRODUCTION This research paper discusses the effects of several different factors on a student’s success in a Business Statistics course. The different variables include areas related to the student’s academic factors as well as factors related to the student’s personal life. The academic related variables are: course of study‚ study hours per week‚ semester credit
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