About the book
A concise, easily accessible introduction to descriptive and inferential techniques
Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures.
The author conducts tests on the assumption of randomness and normality, provides nonparametric methods when parametric approaches might not work. The book also explores how to determine a confidence interval for a population median while also providing coverage of ratio estimation, randomness, and causality. To ensure a thorough understanding of all key concepts, Statistical Inference provides numerous examples and solutions along with complete and precise answers to many fundamental questions, including:
- How do we determine that a given dataset is actually a random sample?
- With what level of precision and reliability can a population sample be estimated?
- How are probabilities determined and are they the same thing as odds?
- How can we predict the level of one variable from that of another?
- What is the strength of the relationship between two variables?
The book is organized to present fundamental statistical concepts first, with later chapters exploring more advanced topics and additional statistical tests such as Distributional Hypotheses, Multinomial Chi-Square Statistics, and the Chi-Square Distribution. Each chapter includes appendices and exercises, allowing readers to test their comprehension of the presented material.
Statistical Inference: A Short Course is an excellent book for courses on probability, mathematical statistics, and statistical inference at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical tools.
Editions of Statistical Inference
- Hardcover
- ISBN 9781118229408
- EBook
- ISBN 9781118309773
- EBook
- ISBN 9781118309803
Read an Excerpt
A concise, easily accessible introduction to descriptive and inferential techniques
Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures.
The author conducts tests on the assumption of randomness and normality, provides nonparametric methods when parametric approaches might not work. The book also explores how to determine a confidence interval for a population median while also providing coverage of ratio estimation, randomness, and causality. To ensure a thorough understanding of all key concepts, Statistical Inference provides numerous examples and solutions along with complete and precise answers to many fundamental questions, including:
- How do we determine that a given dataset is actually a random sample?
- With what level of precision and reliability can a population sample be estimated?
- How are probabilities determined and are they the same thing as odds?
- How can we predict the level of one variable from that of another?
- What is the strength of the relationship between two variables?
The book is organized to present fundamental statistical concepts first, with later chapters exploring more advanced topics and additional statistical tests such as Distributional Hypotheses, Multinomial Chi-Square Statistics, and the Chi-Square Distribution. Each chapter includes appendices and exercises, allowing readers to test their comprehension of the presented material.
Statistical Inference: A Short Course is an excellent book for courses on probability, mathematical statistics, and statistical inference at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical tools.
Frequently Asked Questions
What is Statistical Inference about?
A concise, easily accessible introduction to descriptive and inferential techniques
Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures.
The author conducts tests on the assumption of randomness and normality, provides nonparametric methods when parametric approaches might not work. The book also explores how to determine a confidence interval for a population median while also providing coverage of ratio estimation, randomness, and causality. To ensure a thorough understanding of all key concepts, Statistical Inference provides numerous examples and solutions along with complete and precise answers to many fundamental questions, including:
- How do we determine that a given dataset is actually a random sample?
- With what level of precision and reliability can a population sample be estimated?
- How are probabilities determined and are they the same thing as odds?
- How can we predict the level of one variable from that of another?
- What is the strength of the relationship between two variables?
The book is organized to present fundamental statistical concepts first, with later chapters exploring more advanced topics and additional statistical tests such as Distributional Hypotheses, Multinomial Chi-Square Statistics, and the Chi-Square Distribution. Each chapter includes appendices and exercises, allowing readers to test their comprehension of the presented material.
Statistical Inference: A Short Course is an excellent book for courses on probability, mathematical statistics, and statistical inference at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical tools.
What core themes, tropes, or subjects are explored in Statistical Inference?
Mathematics and Science > Mathematics > Probability and statistics
Where can I read a sample of Statistical Inference?
You can read an official preview of the few pages here https://www.book2look.com/book/9781118229408
Who is/are the Author/s of the book Statistical Inference?
Michael J. Panik
Who is the Publisher of the book Statistical Inference?
Wiley
What are the ISBN numbers for the physical and digital editions?
Statistical Inference is available as hardcover(ISBN 9781118229408) and ebook(ISBN 9781118309773) and ebook(ISBN 9781118309803)
Where can I buy Statistical Inference online or support local independent bookshops?
You can buy Statistical Inference from below
Where can I buy Statistical Inference?