Understandable Statistics Concepts and Methods

by Brase, Charles Henry; Brase, Corrinne Pellillo

• ISBN13: 9780840048387
• ISBN10: 0840048386
• Edition: 10th
• Format: Hardcover
• Copyright: 2011-01-01
• Publisher: Brooks Cole

Summary

UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Tenth Edition, is a thorough, yet accessible program designed to help readers overcome their apprehensions about statistics. The authors provide clear guidance and informal advice while showing the links between statistics and the world. To reinforce this approach--and make the material interesting as well as easier to understand--the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. Readers also have opportunities to develop their critical thinking and statistical literacy skills through special features and exercises throughout the text. The use of graphing calculators, Excel?, MINITAB?, and SPSS? is covered for those who wish to learn about these helpful tools.

Table of Contents

Table of Prerequisite Material

Getting Started

Focus Problem: Where Have All the Fireflies Gone?

What Is Statistics

Random Samples

Introduction to Experimental Design

Organizing Data

Focus Problem: Say It with Pictures

Frequency Distributions, Histograms, and Related Topics

Bar Graphs, Circle Graphs, and Time-Series Graphs

Stem-and-Leaf Displays

Averages And Variation

Focus Problem: The Educational Advantage

Measures of Central Tendency: Mode, Mediate, and Mean

Measures of Variation

Percentiles and Box-and-Whisker Plots

Cumulative Review Problems: Chapters 1-3

Elementary Probability Theory

Focus Problem: How Often Do Lie Detectors Lie?

What Is Probability?

Some Probability Rules--Compound Events

Trees and Counting Techniques

The Binomial Probability Distribution And Related Topics

Focus Problem: Personality Preference Types

Introvert or Extrovert?

Introduction to Random Variables and Probability Distributions

Binomial Probabilities

Additional Properties of the Binomial Distribution

The Geometric and Poisson Probability Distributions

Normal Distributions

Focus Problem: Impulse Buying

Graphs of Normal Probability Distributions

Standard Units and Areas Under the Standard Normal Distribution

Areas Under Any Normal Curve

Normal Approximation to the Binomial Distribution

Sampling Distributions

The Central Limit Theorem

Cumulative Review Problems: Chapters 4-6

Estimation

Focus Problem: The Trouble with Wood Ducks

Estimating ? When ? ?Is Known

Estimating ? When ?

Is Unknown

Estimating p in the Binomial Distribution

Estimating ? 1-? 2 and p1-p2

Hypothesis Testing

Focus Problem: Benford's Law

The Importance of Being Number

Introduction to Statistical Tests

Testing the Mean ?

Testing a Proportion p

Tests Involving Paired Differences (Dependent Samples)

Testing ?1-?2 and p1-p2 (Independent Samples)

Correlation And Regression

Focus Problem: Changing Populations and Crime Rate

Scatter Diagrams and Linear Correlation

Linear Regression and the Coefficient of Determination

Inferences for Correlation and Regression

Multiple Regression

Cumulative Review Problems: Chapters 7-9

Chi-Square And F Distributions

Focus Problem: Archaeology in Bandelier National Monument

Inferences Using the Chi-Square Distribution

Overview of the Chi-Square Distribution

Chi-Square: Tests of Independence and of Homogeneity

Chi-Square: Goodness of Fit

Testing and Estimating a Single Variance or Standard Deviation

Inferences Using the F Distribution

Testing Two Variances

One-Way ANOVA: Comparing Several Sample Means

Introduction to Two-Way ANOVA

Nonparametric Statistics

Focus Problem: How Cold?

Compared to What?

The Sign Test for Matched Pairs

The Rank-Sum TeSt. Spearman Rank Correlation

Runs Test for Randomness

Cumulative Review Problems: Chapters 10-12

Additional Topics

Bayes's Theorem

The Hypergeometric Probability Distribution

Tables

Random Numbers

Binomial Coefficients

Binomial Probability Distribution

Poisson Probability Distribution

Areas of a Standard Normal Distribution

Critical Values for Student's t Distribution

The X2 Distribution

Critical Values for F Distribution

Critical Values for Spearman Rank Correlation

Critical Values for Number of Runs R

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