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Category : Higher Education
Preface Supplements List Data Sources PART I INTRODUCTION Chapter 1 The Nature of Statistics 1.1 Statistics Basics 1.2 Simple Random Sampling 1.3 Other Sampling Designs* 1.4 Experimental Designs* PART II DESCRIPTIVE STATISTICS Chapter 2 Organizing Data 2.1 Variables and Data 2.2 Grouping Data 2.3 Graphs and Charts 2.4 Distribution Shapes 2.5 Misleading Graphs Chapter 3 Descriptive Measures 3.1 Measures of Center 3.2 Measures of Variation 3.3 The Five-Number Summary; Boxplots 3.4 Descriptive Measures for Populations; Use of Samples Chapter 4 Descriptive Methods in Regression and Correlation 4.1 Linear Equations With One Independent Variable 4.2 The Regression Equation 4.3 The Coefficient of Determination 4.4 Linear Correlation PART III PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS Chapter 5 Probability and Random Variables 5.1 Probability Basics 5.2 Events 5.3 Some Rules of Probability 5.4 Discrete Random Variables and Probability Distributions* 5.5 The Mean and Standard Deviation of a Discrete Random Variable* 5.6 The Binomial Distribution* Chapter 6 The Normal Distribution 6.1 Introducing Normally Distributed Variables 6.2 Areas Under the Standard Normal Curve 6.3 Working with Normally Distributed Variables 6.4 Assessing Normality; Normal Probability Plots Chapter 7 The Sampling Distribution of the Sample Mean 7.1 Sampling Error; the Need for Sampling Distributions 7.2 The Mean and Standard Deviation of the Sample Mean 7.3 The Sampling Distribution of the Sample Mean PART IV INFERENTIAL STATISTICS Chapter 8 Confidence Intervals for One Population Mean 8.1 Estimating a Population Mean 8.2 Confidence Intervals for One Population Mean When ? is Known 8.3 Margin of Error 8.4 Confidence Intervals for One Population Mean When ? is Unknown Chapter 9 Hypothesis Tests for One Population Mean 9.1 The Nature of Hypothesis Testing 9.2 Terms, Errors, and Hypotheses 9.3 Hypothesis Tests for One Population Mean When ? is Known 9.4 P-Values 9.5 Hypothesis Tests for One Population Mean When ? is Unknown Chapter 10 Inferences for Two Population Means 10.1 The Sampling Distribution of the Difference Between Two Sample Means for Independent Samples 10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal 10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal 10.4 Inferences for Two Population Means, Using Paired Samples Chapter 11 Inferences for Population Proportions 11.1 Confidence Intervals for One Population Proportion 11.2 Hypothesis Tests for One Population Proportion 11.3 Inferences for Two Population Proportions Chapter 12 Chi-Square Procedures 12.1 The Chi-Square Distribution 12.2 Chi-Square Goodness-of-Fit Test 12.3 Contingency Tables; Association 12.4 Chi-Square Independence Test Chapter 13 Analysis of Variance (ANOVA) 13.1 The F-Distribution 13.2 One-Way ANOVA: The Logic 13.3 One-Way ANOVA: The Procedure Chapter 14 Inferential Methods in Regression and Correlation 14.1 The Regression Model; Analysis of Residuals 14.2 Inferences for the Slope of the Population Regression Line 14.3 Estimation and Prediction 14.4 Inferences in Correlation APPENDIXES I Random numbers II Areas under the standard normal curve III Normal scores IV Values of tα V Values of χα2 VI Values of Fα VII Binomial probabilities Appendix B Answers to Selected Exercises *indicates an optinoal section Table of Contents
What is Test Bank?
The test bank is a guide for testing and exams. It contains a lot of questions with their correct answers related to an academic textbook. Test banks usually contain true/false questions, multiple choice questions, and essay questions. Authors provide those guides to help instructors and teachers create their exams and tests easily and fast. We recommend all students to download the sample attached to each test bank page and review them deeply..
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The solutions manual is a guide where you can find all the correct answers (odd and even) to your textbooks’ questions, cases, and problems.
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