Book:H.T. Hayslett, MS/Statistics Made Simple/Third Edition

H.T. Hayslett, MS: Statistics Made Simple (3rd Edition)

Published $\text {1974}$, Heinemann

ISBN 434 98474 4

Subject Matter

• Statistics

Contents

Foreword

$1$ What is Statistics?

The Present Importance of Statistics

Two Kinds of Statistics

$2$ Pictorial Description of Data

Introduction

Selecting a Random Sample

Classification of Data

Frequency Distributions and Cumulative Frequency Distributions

Graphical Representation of Data

Histogram

Frequency Polygon

Ogive

Exercises

$3$ Measures of Location

Introduction

The Mid-range

The Mode

The Median

The Arithmetic Mean

The Median of Classified Data

Summation of Notation

The Mean of Classified Data

Exercises

$4$ Measures of Variation

Introduction

The Range

The Mean Absolute Deviation

The Variance and the Standard Deviation

The Variance and Standard Deviation of Classified Data

Exercises

$5$ Elementary Probability and the Binomial Distribution

Introduction

Probabilities of Simple Events

Probabilities of Two Events

Probabilities for Combinations of Three or More Events

Permutations

Fundamental Principle

Combinations

More Probability

The Binomial Distribution

The Theoretical Mean of the Binomial Distribution

The Theoretical Variance of the Binomial Distribution

Exercises

$6$ The Normal Distribution

Introduction

The Normal Distribution

Use of Standard Normal Tables

More Normal Probabilities

The Normal Approximation to the Binomial

Theorem

Exercises

$7$ Some Tests of a Statistical Hypothesis

Introduction

The Nature of a Statistical Hypothesis -- Two Types of Error

Test of $H_0: \pi = \pi_0$ versus a Specified Alternative

Tests about the Mean of a Normal Distribution

Exercises

$8$ More Tests of Hypotheses

Introduction

Test of $H_0: \mu = \mu_0$, Normal Population, $\sigma^2$ Unknown

Tests about the Mean of a Non-normal Population

Tests about the Difference of Two Proportions

Tests about the Difference of Tow Means

Exercises

$9$ Correlation and Regression

The Sample Correlation Coefficient]

Computation of $r$

Testing Hypotheses about the Population Correlation Coefficient

Linear Regression

Finding the Regression (Least-squares) Line

Testing Hypotheses about $\mu$ in a Regression Problem

Testing Hypotheses about $\beta$ in a Regression Problem

Exercises

$10$ Confidence Limits

Introduction

A Note in Inequalities

Confidence Intervals for $\mu$

Confidence Interval for $\pi$

Confidence Interval for $\mu_1 - \mu_2$

Confidence Interval for $\pi_1 - \pi_2$

Confidence Interval for $\rho$

Exercises

$11$ Non-Parametric Statistics

Introduction

The Chi-squared Distribution

Contingency Tables

The Rank-correlation Coefficient

The Sign Test (One Population)

The Wilcoxon Signed-rank Test

The Rank-sum Test (Two Populations)

Exercises

$12$ The Analysis of Variance

Introduction

One-way Analysis of Variance

One-way Analysis of Variance -- Another Approach

One-way Analysis of Variance, Different Sample Sizes

Two-way Analysis of Variance

Exercises

Appendix

List of Selected Symbols

Tables

$t$_Distribution

Squares

Square Roots

Area of the Standard Normal Distribution

$\chi^2$-Distribution

Fisher-$z$ Values

Spearman Rank-correlation Coefficient

Wilcoxon Signed-rank Values

Rank-sum Critical Values

$F$-Distribution

Answers to Exercises

Index

Next

Further Editions

• 1968: H.T. Hayslett, MS: Statistics Made Simple
• 1971: H.T. Hayslett, MS: Statistics Made Simple (2nd ed.)

Source work progress

• 1974: H.T. Hayslett, MS: Statistics Made Simple (3rd ed.) ... (previous) ... (next): Chapter $\text {II}$: Pictorial Description of Data: Introduction