BEC1 STUDY GUIDE INTRODUCTION (CHAPTER 1 – MUNRO E-BOOK) Know the definition of population, sample, parameter, & statistic Be able to identify and/or provide examples of descriptive statistics & inferential statistics Know the properties of & be able to identify or provide examples of quantitative vs. categorical variables BASIC CONCEPTS (CHAPTER 2 – MUNRO E-BOOK) Know the definition of data, individuals, variables, independent variable, dependent variable, random assignment, treatment group,
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academic activity. (C.R Kothari, 2009 [58]) According to Clifford Woody Research consists of: • Defining and redefining problems. • Formulating hypothesis or suggested solutions. • Collecting, organising and evaluating data. • Making deductions. • And Reaching conclusions • Carefully testing the conclusions to determine whether they fit the formulating hypothesis. Characteristic of Research- (Research Methodology,
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QNT 351 Final Exam Guide (New) For more course tutorials visit www.tutorialrank.com Q1 The Director of Golf for a local course wants to study the number of rounds played by members on weekdays. He gathered the sample information shown below for 520 rounds. At the .05 significance level, is there a difference in the number of rounds played by day of the week? 2. An auditor for American Health Insurance reports that 20% of policyholders submit a claim during the year. 15 policyholders are selected
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Stata Journal (yyyy) Working Paper Number ii, pp. 1–38 vv, No. 667 Enhanced routines for instrumental variables/GMM estimation and testing Christopher F. Baum Mark E. Schaffer Boston College Heriot–Watt University Steven Stillman Motu Economic and Public Policy Research Abstract. We extend our 2003 paper on instrumental variables (IV) and GMM estimation and testing and describe enhanced routines that address HAC standard errors, weak instruments, LIML and k-class estimation, tests for endogeneity
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support of more than 50 percent of voters. 1 2 Basic Concepts of Statistics • However, the high percent of support will be with a margin of error of plus or minus 3%. • What is meant by the term margin of error? • If you have an ambition to become president, you need to know something about statistics. • If you cannot perform statistics yourself, it would be better to hire a statistician right away. 3 Testing Hypotheses: One-sample tests • One-sample tests • Null hypothesis: – Ho: μ
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RESEARCH HYPOTHESES AND QUESTIONS A research hypothesis is a prediction of the outcome of a study. The prediction may be based on an educated guess or a formal theory. Example 1 is a hypothesis for a nonexperimental study. Example 1 It is hypothesized that first grade girls will show better reading comprehension than first grade boys. In Example 1, the author is predicting that he or she will find higher comprehension among girls than boys. To test it, a nonexperimental study would be appropriate
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BUSINESS STATISTICS 10123046 SalmanRiaz MBA (3.5 years) FALL 2010 SUBMITTED TO: Mr. ABID AWAN SUBMISSION DATE: February 25, 2015 Correlation analysis of Three Universities Correlation analysis of GIFT University Tables 1 | ECA (X1) | HOURS (X2) | COURSE(X3) | Degree(X4) | CGPA(Y) | ECA (X1) | 1 | | | | | HOURS (X2) | 0.020546566 | 1 | | | | COURSE(X3) | 0.110931612 | -0.003577178 | 1 | | | Degree(X4) | 0.055096599 | -0.163985608 | -0.09382865 | 1 |
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Throughout the semester, you will see a wide variety of symbols used repeatedly from week to week. These symbols are usually defined when the text introduces them, but it is sometimes hard to remember exactly what symbols/operators mean what. Here are two handy reference tables to keep them straight. This list is not exhaustive, rather it is designed to include symbols that are used often, not just as a "one-off." Also note that in some occasions, the text will sometimes use certain symbols/variables
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Canadian average income from 2002 to 2011! Walmart’s income from 2002 to 2011! Comparing Canadian average income and Walmart’s income! Comparing Walmart with it’s competitor (Shoppers Drug Mart)! Hypothesis testing 1 (Walmart’s net income and average income)! ! i! 2! 3! 3! 4! 4! 4! 5! 6! 7! Hypothesis testing 2 (Walmart’s net income and it’s competitor’s income)!8! Result and Recommendation! Result! Discussion ! Recommendation! Conclusion! Appendix A! Appendix B! Appendix C! Appendix D! Appendix
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Objectives of statistical hypothesis tests (“significance” tests), the meaning of the outcomes from such tests, and how to interpret a p-value. What is a confidence interval and how it can be interpreted. Concepts of Type I error, Type II error, significance level, confidence level, statistical “power”, statistical precision, and the relationship among these concepts and sample size. Computation of p-values, confidence intervals, power, or sample size will not be asked for on
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