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Product Identifiers
PublisherFreeman & Company, W&H
ISBN-101319049621
ISBN-139781319049621
eBay Product ID (ePID)12038705636
Product Key Features
Number of Pages864 Pages
Publication NameIntroductory Statistics: a Problem-Solving Approach
LanguageEnglish
SubjectProbability & Statistics / General
Publication Year2019
TypeTextbook
Subject AreaMathematics
AuthorStephen Kokoska
FormatHardcover
Dimensions
Item Height1.2 in
Item Weight64.1 Oz
Item Length11.1 in
Item Width8.5 in
Additional Product Features
Edition Number3
Intended AudienceCollege Audience
Table Of ContentData Set files needed to complete exercises and examples in the book can be downloaded from the open-access student companion website. Data Sets are available in Excel, CSV, Minitab, R, JMP, TI, SPSS, PC-Text, and Mac-Text formats. Chapter 0 Why Study Statistics Chapter 1 An Introduction to Statistics and Statistical Inference Chapter 2 Tables and Graphs for Summarizing Data Chapter 3 Numerical Summary Measures Chapter 4 Probability Chapter 5 Random Variables and Discrete Probability Distributions Chapter 6 Continuous Probability Distributions Chapter 7 Sampling Distributions Chapter 8 Confidence Intervals Based on a Single Sample Chapter 9 Hypothesis Tests Based on a Single Sample Chapter 10 Confidence Intervals and Hypothesis Tests Based on Two Samples or Treatments Chapter 11 The Analysis of Variance Chapter 12 Correlation and Linear Regression Chapter 13 Categorical Data and Frequency Tables Chapter 14 Nonparametric Statistics Optional Sections (available online at macmillanlearning.com/introstats3e): Section 6.5 The Normal Approximation to the Binomial Distribution Section 12.6 The Polynomial and Qualitative Predictor Models Section 12.7 Model Selection Procedures
SynopsisThis text helps students develop the fundamental lifelong skill of solving problems and interpreting solutions in real-world terms. One of our goals was to make this problem-solving approach accessible and easy to apply in many situations. We certainly want students to appreciate the beauty of statistics and connections to so many other disciplines. However, it is even more important for students to be able to apply problem-solving skills to a wide range of academic and career pursuits, including business, science and technology, and education. The third edition presents long-term, universal skills for students taking a one- or two-semester introductory-level statistics course. Examples include guided, explanatory solutions that emphasize problem-solving techniques. Example solutions are presented in a numbered, step-by-step format. The generous collection and variety of exercises provide ample opportunity for practice and review in a variety of contexts. Concepts, examples, and exercises are presented from a practical, realistic perspective. Real and realistic data sets are current and relevant. The text uses mathematically correct notation and symbols and precise definitions to clearly illustrate statistical procedures and proper communication. This text is designed to help students fully understand the steps in basic statistical arguments, emphasizing the importance of assumptions in order to follow valid arguments or identify inaccurate conclusions. Most importantly, students will understand the process of statistical inference. A four-step process (Claim, Experiment, Likelihood, Conclusion) is used throughout the text to present the smaller pieces of introductory statistics upon which the large, essential statistical inference puzzle is built., This text helps students develop the fundamental lifelong skill of solving problems and interpreting solutions in real-world terms. One of our goals was to make this problem-solving approach accessible and easy to apply in many situations. We certainly want students to appreciate the beauty of statistics and connections to so many other disciplines. However, it is even more important for students to be able to apply problem-solving skills to a wide range of academic and career pursuits, including business, science and technology, and education. Third Edition, presents long-term, universal skills for students taking a one- or two-semester introductory-level statistics course. Examples include guided, explanatory solutions that emphasize problem-solving techniques. Example solutions are presented in a numbered, step-by-step format. The generous collection and variety of exercises provide ample opportunity for practice and review in a variety of contexts. Concepts, examples, and exercises are presented from a practical, realistic perspective. Real and realistic data sets are current and relevant. The text uses mathematically correct notation and symbols and precise definitions to clearly illustrate statistical procedures and proper communication. This text is designed to help students fully understand the steps in basic statistical arguments, emphasizing the importance of assumptions in order to follow valid arguments or identify inaccurate conclusions. Most importantly, students will understand the process of statistical inference. A four-step process (Claim, Experiment, Likelihood, Conclusion) is used throughout the text to present the smaller pieces of introductory statistics upon which the large, essential statistical inference puzzle is built.
