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What is included with this book?
Introduction | |
The importance of Context | |
Basic Terminology | |
Selection among Statistical Procedures | |
Using Computers | |
Summary | |
Exercises | |
Basic Concepts | |
Scales of Measurement | |
Variables | |
Random Sampling | |
Notation | |
Summary | |
Exercises | |
Displaying Data | |
Plotting Data | |
Stem-and-Leaf Displays | |
Histograms | |
Reading Graphs | |
Alternative Methods of Plotting Data | |
Describing Distributions | |
Using Computer Programs to Display Data | |
Summary | |
Exercises | |
Measures of Central Tendency | |
The Mode | |
The Median | |
The Mean | |
Relative Advantages of the Mode, the Median, and the Mean | |
Obtaining Measures of Central Tendency Using SPSS | |
A Simple Demonstration-Seeing Statistics | |
Summary | |
Exercises | |
Measures of Variability | |
Range | |
Interquartile Range and Other Range Statistics | |
The Average Deviation | |
The Variance | |
The Standard Deviation | |
Computational Formulae for the Variance and the Standard eviation | |
The Mean and the Variance as Estimators | |
Boxplots: Graphical Representations of Dispersion and Extreme Scores | |
A Return to Trimming | |
Obtaining Measures of Dispersion Using SPSS | |
A Final Worked Example | |
Seeing Statistics | |
Summary | |
Exercises | |
The Normal Distribution | |
The Normal Distribution | |
The Standard Normal Distribution | |
Setting Probable Limits on an Observations | |
Measures Related to z | |
Seeing Statistics | |
Summary | |
Exercises | |
Basic Concepts of Probability | |
Probability | |
Basic Terminology and Rules | |
The Application of Probability to Controversial Issues | |
Writing Up the Results | |
Discrete versus Continuous Variables | |
Probability Distributions for Discrete Variables | |
Probability Distributions for Continuous Variables | |
Summary | |
Exercises | |
Sampling Distributions and Hypothesis Testing | |
Two Simple Examples Involving Course Evaluations and Rude Motorists | |
Sampling Distributions | |
Hypothesis Testing | |
The Null Hypothesis | |
Test Statistics and Their Sampling Distributions | |
Using the Normal Distribution to Test Hypotheses | |
Type I and Type II Errors | |
One- and Two-Tailed Tests | |
Seeing Statistics | |
A Final Worked Example | |
Back to Course Evaluations and Rude Motorists | |
Summary | |
Exercises | |
Correlation | |
Scatter Diagrams | |
The Relationship Between Pace of Life and Heart Disease | |
The Covariance | |
The Pearson Product-Moment Correlation Coefficient (r) | |
Correlations with Ranked Data | |
Factors that Affect the Correlation | |
Beware Extreme Observations | |
Correlation and Causation | |
If Something Looks Too Good to Be True, Perhaps It Is | |
Testing the Significance of a Correlation Coefficient | |
Intercorrelation Matrices | |
Other Correlation Coefficients | |
Using SPSS to Obtain Correlation Coefficients | |
Seeing Statistics | |
A Final Worked Example | |
Summary | |
Exercises | |
Regression | |
The Relationship Between Stress and Health | |
The Basic Data | |
The Regression Line | |
The Accuracy of Prediction | |
The Influence of Extreme Values | |
Hypothesis Testing in Regression | |
Computer Solutions using SPSS | |
Seeing Statistics | |
Summary | |
Exercises | |
Multiple Regression | |
Overview | |
A Different Data Set | |
Residuals | |
The Visual Representation of Multiple Regression | |
Hypothesis Testing | |
Refining the Regression Equation | |
A Second Example: Height and Weight | |
A Third Example: Psychological Symptoms in Cancer Patients | |
Summary | |
Exercises | |
Hypothesis Testing Applied to Means: One Sample | |
Sampling Distribution of the Mean | |
Testing Hypotheses about Means When ?p is Known | |
Testing a Sample Mean When ?p is Unknown (The One-Sample t) | |
Factors that Affect the Magnitude of t and the Decision about H0 | |
A Second Example: The Moon Illusion | |
How Large is Our Effect? | |
Confidence Limits on the Mean | |
Using SPSS to Run One-Sample t tests | |
A Final Worked Example | |
Seeing Statistics | |
Summary | |
Exercises | |
Hypothesis Tests Applied to Means: Two Related Samples | |
Related Samples | |
Student's t Applied to Difference Scores | |
A Second Example: The Moon Illusion Again | |
Advantages and Disadvantages of Using Related Samples | |
How Large an Effect Have We Found? | |
Confidence Limits on Changes | |
Using SPSS for t Tests on Related Samples | |
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