# Statistics with Common Sense

ISBN-10: 0313322090

ISBN-13: 9780313322099

Pub. Date: 04/30/2003

Publisher: ABC-CLIO, Incorporated

Applying statistical results to real life situations can be difficult or futile if you can't be certain what the results actually mean. This reference guide provides readers with the frequently elusive link between statistical results and practical applications. Students will learn the basic concepts and principles of statistics and probability, without getting

## Overview

Applying statistical results to real life situations can be difficult or futile if you can't be certain what the results actually mean. This reference guide provides readers with the frequently elusive link between statistical results and practical applications. Students will learn the basic concepts and principles of statistics and probability, without getting bogged down in complicated theories and abstractions.

Many statistics texts rely too heavily on mathematical formulas. Kault restores the emphasis to understanding statistical results and using common sense in decision making. Everyday examples bring the concepts to life. In the entry on hypothesis testing, Kault examines how a statistical result incorrectly overruled the common sense of many doctors. A chapter on random variables shows the chance that students will carry cell phones, and a chapter on categorical measurements uses statistics to determine the efficiency of a new treatment for a serious disease. Each chapter ends with questions that will help students further understand important concepts. Useful on its own and perfect as a means of expanding classroom discussions, this book is ideal for high school students or anyone needing to review the basics of statistics.

## Product Details

ISBN-13:
9780313322099
Publisher:
ABC-CLIO, Incorporated
Publication date:
04/30/2003
Edition description:
New Edition
Pages:
272
Product dimensions:
6.20(w) x 8.90(h) x 0.90(d)

## Related Subjects

Statistics—The Science of Dealing with Variability and Uncertainty

Descriptive Statistics

Basic Probability and Fisher's Exact Test

Discrete Random Variables and Some Statistical Tests Based on Them

Continuous Random Variables and Some Statistical Tests Based on Them

General Issues in Hypothesis Testing

Causality—Interventions and Observational Studies

Categorical Measurements on Two or More Groups

Statistics on More than Two Groups

Miscellaneous Topics

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