Understandable Statistics Concepts and Methods

by ;
Edition: 9th
Format: Hardcover
Pub. Date: 2007-12-27
Publisher(s): Brooks Cole
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Summary

UNDERSTANDABLE STATISTICS is a thorough, yet accessible program designed to help students overcome their apprehensions about statistics. The authors provide guidance and informal advice, while showing students the links between statistics and the world. To reinforce this approach, the book integrates real-life data from a variety of sources including journals, periodicals, newspapers, and the Internet. The Ninth Edition addresses the growing importance of developing students' critical thinking and statistical literacy skills through the introduction of new features and exercises throughout the text. Extensive technology resources include a new algorithmic test bank and lecture slides, along with a market-leading DVD series and other resources designed to provide reinforcement for students and support for instructors. The use of graphing calculators, Excel, Minitab, and SPSS is covered though not required.

Table of Contents

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 Probabiilty 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 Properities of the Binomial Distribution
The Geometric and Poisson Probability Distributions
Normal Distributions Focus Problem: Large Auditorium Shows: How Many Will Attend
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 Cumulative Review Problems: Chapters 4-6
Introduction to Sampling Distributions Focus Problem: Impulse Buying
Sampling Distributions
The Central Limit Theorem
Sampling Distributions for Proportions
Estimation Focus Problem: The Trouble with Wood Ducks
Estimating? When s Is Known
Estimating? When s Is Unknown
Estimating p in the Binomial Distribution
Estimating?1-?2 and p1-p2 Cumulative Review Problems: Chapters 7-9
Hypothesis Testing Focus Problem: Benford's Law: The Importance of Being Number 1
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
Chi-Square and F Distributions Focus Problem: Archaeology in Bandelier National Monumen
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 Deviatio
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 Topic
Bayes's Theore
The Hypergeometric Probability Distribution
Tables
Random Numbers
Binomial Coefficients
Binomial Probaility 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
Table of Contents provided by Publisher. All Rights Reserved.

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