Introduction to Statistical Methods: With JMP and R

Author(s): Amy Maddox

Edition: 4

Copyright: 2023

Pages: 345

Choose Your Format

Choose Your Platform | Help Me Choose

Ebook

$45.14

ISBN 9798765793572

Details Electronic Delivery EBOOK 180 days

Introduction to Statistical Methods, fourth edition, is a calculus based statistics hybrid book that provides an overview of descriptive and inferential methods including probability distributions, estimation, hypothesis testing, ANOVA, nonparametric proceedures, and regression. The book addresses how to analyze both continuous and categorical data with examples containing simulated data. The students' understanding of the material develops sequentially through the textbook so that ultimately the student is able to  anticipate the methodology and apply that knowledge to obtain the solution, with an emphasis on interceptions, concepts, assumptions, and fallacies. This format ensures that the student is an active and engaged participant in class. This textbook provides many opportunities for the students to check and verify their understanding of the material. The textbook coupled with the Power-Point slides provides the student with all the information necessary to learn statistical concepts and methodology. 

Chapter 1: Introduction to Statistics 

Chapter 2: Discrete Probability Distributions 

Chapter 3: Continuous Probability Distributions 

Chapter 4: Sampling Distributions 

Chapter 5: Estimation and Confidence Intervals for One Parameter 

Chapter 6: Hypothesis Testing for One Parameter 

Chapter 7: Hypothesis Testing for Two Parameters 

Chapter 8: Categorical Analysis 

Chapter 9: Testing More Than Two Population Means: ANOVA 

Chapter 10: Simple Linear Regression 

Appendix A 

Appendix B 

Appendix C

Amy Maddox

Introduction to Statistical Methods, fourth edition, is a calculus based statistics hybrid book that provides an overview of descriptive and inferential methods including probability distributions, estimation, hypothesis testing, ANOVA, nonparametric proceedures, and regression. The book addresses how to analyze both continuous and categorical data with examples containing simulated data. The students' understanding of the material develops sequentially through the textbook so that ultimately the student is able to  anticipate the methodology and apply that knowledge to obtain the solution, with an emphasis on interceptions, concepts, assumptions, and fallacies. This format ensures that the student is an active and engaged participant in class. This textbook provides many opportunities for the students to check and verify their understanding of the material. The textbook coupled with the Power-Point slides provides the student with all the information necessary to learn statistical concepts and methodology. 

Chapter 1: Introduction to Statistics 

Chapter 2: Discrete Probability Distributions 

Chapter 3: Continuous Probability Distributions 

Chapter 4: Sampling Distributions 

Chapter 5: Estimation and Confidence Intervals for One Parameter 

Chapter 6: Hypothesis Testing for One Parameter 

Chapter 7: Hypothesis Testing for Two Parameters 

Chapter 8: Categorical Analysis 

Chapter 9: Testing More Than Two Population Means: ANOVA 

Chapter 10: Simple Linear Regression 

Appendix A 

Appendix B 

Appendix C

Amy Maddox