This is a Student Solutions Manual for Introductory Statistics, 9th Edition. Introductory Statistics, 9th Edition is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach.
This is a Student Solutions Manual for Introductory Statistics, 9th Edition. Introductory Statistics, 9th Edition is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Prem Singh Mann was born on November 20, 1947 in Punjab, India. Came to the United States, 1980. Bachelor, Panjab University, Chandigarh, India, 1968. Master of Arts in Economics, Panjab University, Chandigarh, India, 1970. Master of Arts in Economics, Manchester University, England, 1977. Doctor of Philosophy in Economics, University of California at Los Angeles, 1988.
Inhaltsangabe
Chapter 1 Introduction 01 Chapter 2 Organizing and Graphing Data 08 Chapter 3 Numerical Descriptive Measures 21 Chapter 4 Probability 39 Chapter 5 Discrete Random Variables and Their Probability Distributions 49 Chapter 6 Continuous Random Variables and the Normal Distribution 64 Chapter 7 Sampling Distributions 73 Chapter 8 Estimation of the Mean and Proportion 83 Chapter 9 Hypothesis Tests About the Mean and Proportion 94 Chapter 10 Estimation and Hypothesis Testing: Two Populations 114 Chapter 11 Chi-Square Tests 134 Chapter 12 Analysis of Variance 147 Chapter 13 Simple Linear Regression 153
Chapter 1 Introduction 01 Chapter 2 Organizing and Graphing Data 08 Chapter 3 Numerical Descriptive Measures 21 Chapter 4 Probability 39 Chapter 5 Discrete Random Variables and Their Probability Distributions 49 Chapter 6 Continuous Random Variables and the Normal Distribution 64 Chapter 7 Sampling Distributions 73 Chapter 8 Estimation of the Mean and Proportion 83 Chapter 9 Hypothesis Tests About the Mean and Proportion 94 Chapter 10 Estimation and Hypothesis Testing: Two Populations 114 Chapter 11 Chi-Square Tests 134 Chapter 12 Analysis of Variance 147 Chapter 13 Simple Linear Regression 153
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