# Statistics: A User Friendly Guide

###### Gerald C. Swanson
Publisher:
Grey Heron Press
Publication Date:
2013
Number of Pages:
198
Format:
Paperback
Price:
35.00
ISBN:
9780972458900
Category:
Textbook
[Reviewed by
Tom Schulte
, on
09/18/2014
]

Author Gerald Swanson began his career as a chemist, moved onto nuclear analytical chemistry, and later became a behavioral scientist and taught statistics at Bastyr University in Seattle. From his varied background comes a supplemental statistics guide for an introductory statistics course. This overview starts with the very basics, such as levels of measurement, displays such as histogram, and measures of central tendency. These preliminaries assume little to no mathematical skill and extend into the first seven chapters. The final two chapters cover, with thorough examples, more advanced statistical topics, including the binomial distribution, chi square tests, and ANOVA.

This text feels like itmight be a good fit for students struggling with a first course in statistics. Non-STEM students requiring statistics in the classroom or later in their careers may find it helpful in learning or as a reference. Guiding the reader are exercises throughout. The book is self-contained and includes the typical tables for t distribution, F ratio critical values, etc.

Tom Schulte developed statistical process control (SPC) software for Plex Systems and delivers user-friendly lectures to mathematics students at Oakland Community College.

Introduction - How to Use This Book
1. The Fundamental Statistical Process
What is Statistics?
The Fundamental Statistical Process: Describing Reality
2. Measurement
Types of Measures
Nominal
Ordinal
Interval
Ratio
An Approach to Distinguishing Ratio and Interval Measures
Comparison of Levels of Scaling
3 Population Distributions and Measures of Central Tendency
Population Distributions
Visual and Graphic Representations of Distributions
Measures Used to Represent the Similarities
Mode
Median
Mean
Calculation of the Mean
4 Measures Used to Represent the Differences
Measures of Dispersion
Range
(Average Deviation)
Variance and Standard Deviation
An Easier Method to Calculate Variances and Standard Deviations
Validity and Reliability
5 Wrapping-up Descriptive Statistics
Probability concepts
The Normal Distribution
"Z" Score or Standard Score
6 Inferential Statistics
Creating a Sample
Sample Distributions
Sample Statistics
Simpler Calculations of Sample Variance and Standard Deviation
Degrees of Freedom
Sampling Distribution of Means
Standard Deviation of Means
Calculating Z Scores with Sample Values
7 Correlation/Regression and Statistical Tests
Correlation and Regression
Concepts of Testing
Levels of Significance and Confidence Intervals
Errors Associated with Tests
Statistical Tests
Chi Square Test
Sign Test
Wilcoxon Signed-Rank Test
"t" Test
F Test
Analysis of Variance
Summary of Statistical Tests
Binomial Distribution
Simple Proportions
The Law of Large Numbers
Central Limit Theorem
Use of (n – 1) to Calculate Standard Deviations for Samples
Validation of the Standard Deviation of the Mean Calculation
9 Performing Statistical Tests
The Basis of Statistical Tests
A Word About the Use of Tables
Chi-Square Test of Significance
Sign Test of Significance
Wilcoxon Signed-Ranks Test
Student’s "t" Test of Differences Between Means
F Test of Sample Variance
Analysis of Variance (ANOVA)
Appendices - Statistical Tables

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