Data Matters Conceptual Statistics for a Random World

ISBN-10: 0470412283
ISBN-13: 9780470412282
Edition: 2004
Authors: Nicholas Maxwell
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Book details

List price: $151.95
Copyright year: 2004
Publisher: John Wiley & Sons, Incorporated
Publication date: 6/10/2008
Binding: Paperback
Pages: 625
Size: 7.25" wide x 9.00" long x 1.25" tall
Weight: 8.008
Language: English

Foreword by George Cobb
Preface
To the Instructor
To the Student
Acknowledgments
Introduction: Why Data Matters
Statistics in the News
Basic Concepts of Statistical Thinking Presented in the Context of Categorical Data
Proportions in Samples, Proportions in Populations
The Most Popular News Statistics
Percentage, Proportions, Raw Counts, Pie Charts, Bar Charts
How Many People Are There?
U.S. and World Populations, Population Growth, Proportional Changes, The Unemployment Rate, X-Y Plots
Things Vary, and Small Samples Vary the Most
The Law of Large Numbers
The Pattern in Random Sample Proportions
Taking a Good Sample of a Population
Representative and Biased Samples, Random Sampling, Self-Selected Samples
How Samples Vary
Histograms, Bell Curves
How Widely Samples Vary
The Standard Error of a Proportion, The Normal Distribution
Making Inferences
Forecasting the Future
Prediction Intervals for Sample Proportions
What a Sample Reveals About a Population
Confidence Intervals for Proportions in Populations
The Story of Statistical Inference
Null Hypothesis, P-Value, Alpha, Significance
Testing Locations and Differences of Proportions
Testing Where a Proportion Is
The Z-Test
How to Look for Differences in Chances
Cross-Tabulations, Correlation, The Null Hypothesis of the Chi-Square Test
Checking for No Correlation with the Chi-Square Test
Chi-Square Distribution, Degrees of Freedom, Correlation Is Not Causation
Averages and Other Number Line Statistics in the News
Incomes and Other Quantities
Medians, Number Line Observations,Means
Which Tells the Truth-The Mean, the Median . . . or 281 the Weighted Mean?
Standard Deviation, Spread,Weighted Means
Inflation and the Consumer Price Index
Adjusting for Inflation
Statistics in Science
Descriptive and Inferential Statistics for Continuous Data
What Sample Data Distribution Reveals About the Population
Exploratory Data Analysis
Histograms, Stem-and-Leaf Plots, Box Plots
Describing Number Line Variation
Standard Deviation of Samples,Variance
How to See the Future
Prediction Intervals for Number Line Observations and Sample Means, Standard Error of Means, Confidence
Intervals for Population Means, Central Limit Theorem
Testing Treatments
A Cautionary Tale
William Gosset's Troubles with the Z-Test and the T-Distribution, The T-Test
How to Test Whether a Treatment Works
The Logic of Experiments, Correlational Studies
Variances Between and Within
Estimating the Population Variance from Variation Within Groups and from Variation Between Group Means
Analysis of Variance
Fisher's Analysis of Variance
Calculating Fisher's F-Value
What If the Data Are Not Normally Distributed?
The Effect of Nonconstant Variances and Non-normality on ANOVA, Nonparametric Tests
American Counties
Correlation, Scatter Plots
Best Lines
Lines
How to Calculate the Equation of a Line
Finding Best-Fitting Lines
The Least Squares Line
An Excellent Line
Calculating the Slope of the Regression Equation, Standard Error and Confidence Interval for the Regression Equation
Tests of Regression
How to Test the Regression Models
R2, Pearson's r, A T-Test for the Regression Slope
What

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