A Short Course
A concise, easily accessible introduction to descriptiveand inferential techniques
Statistical Inference: A Short Course offers a concisepresentation of the essentials of basic statistics for readersseeking to acquire a working knowledge of statistical concepts,measures, and procedures.
The author conducts tests on the assumption of randomness andnormality, provides nonparametric methods when parametricapproaches might not work. The book also explores how to determinea confidence interval for a population median while also providingcoverage of ratio estimation, randomness, and causality. To ensurea thorough understanding of all key concepts, StatisticalInference provides numerous examples and solutions along withcomplete and precise answers to many fundamental questions,including:
- How do we determine that a given dataset is actually a randomsample?
- With what level of precision and reliability can a populationsample be estimated?
- How are probabilities determined and are they the same thing asodds?
- How can we predict the level of one variable from that ofanother?
- What is the strength of the relationship between twovariables?
The book is organized to present fundamental statisticalconcepts first, with later chapters exploring more advanced topicsand additional statistical tests such as Distributional Hypotheses,Multinomial Chi-Square Statistics, and the Chi-Square Distribution.Each chapter includes appendices and exercises, allowing readers totest their comprehension of the presented material.
Statistical Inference: A Short Course is an excellentbook for courses on probability, mathematical statistics, andstatistical inference at the upper-undergraduate and graduatelevels. The book also serves as a valuable reference forresearchers and practitioners who would like to develop furtherinsights into essential statistical tools.
352 pages; ISBN 9781118309803
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Title: Statistical Inference
Author: Michael J. Panik
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