Causality) - Other Cool Correlations - Using the Computer to Compute a Correlation Coefficient - The SPSS Output - Creating a Scatterplot (or Scattergram or Whatever) - Real-World Stats - Summary - Time to Practice - 6.Just the Truth: An Introduction to Understanding Reliability and Validity - An Introduction to Reliability and Validity - What's Up With This Measurement Stuff? - All About Measurement Scales - A Rose by Any Other Name: The Nominal Level of Measurement - Any Order Is Fine With Me: The Ordinal Level of Measurement - 1 + 1 = 2: The Interval Level of Measurement - Can Anyone Have Nothing of Anything? The Ratio Level of Measurement - In Sum - Reliability: Doing It Again Until You Get It Right - Test Scores: Truth or Dare? - Observed Score = True Score + Error Score - Different Types of Reliability - Using the Computer to Calculate Cronbach's Alpha - What the SPSS Output Means - How Big Is Big? Finally: Interpreting Reliability Coefficients - And If You Can't Establish Reliability Then What? - Just One More Thing - Validity: Whoa! What Is the Truth? - Different Types of Validity - A Last Friendly Word - Validity and Reliability: Really Close Cousins - Real-World Stats - Summary - Time to Practice - pt.
the Crime Rate Goes Up (or Association vs.
II Sigma - Freud and Descriptive Statistics - 2.Means to an End: Computing and Understanding Averages - Computing the Mean - Things to Remember - Computing a Weighted Mean - Computing the Median - Things to Remember - Computing the Mode - Apple Pie a la Bimodal - When to Use What - Using the Computer and Computing Descriptive Statistics - The SPSS Output - Real-World Stats - Summary - Time to Practice - 3.Vive la Difference: Understanding Variability - Why Understanding Variability Is Important - Computing the Range - Computing the Standard Deviation - Why n-l? What's Wrong With Just n? - What's the Big Deal? - Things to Remember - Computing the Variance - The Standard Deviation Versus the Variance - Using the Computer to Compute Measures of Variability - The SPSS Output - Real-World Stats - Summary - Time to Practice - 4.A Picture Really Is Worth a Thousand Words - Why Illustrate Data? - Ten Ways to a Great Figure (Eat Less and Exercise More?) - First Things First: Creating a Frequency Distribution - The Classiest of Intervals - The Plot Thickens: Creating a Histogram - The Tallyho Method - The Next Step: A Frequency.Polygon - Cumulating Frequencies - Fat and Skinny Frequency Distributions - Average Value - Variability - Skewness - Kurtosis - Other Cool Ways to Chart Data - Column Charts - Bar Charts - Line Charts - Pie Charts - Using the Computer (SPSS, That Is) to Illustrate Data - Creating a Histogram - Creating a Bar Graph - Creating a Line Graph - Creating a Pie Chart - Real-World Stats - Summary - Time to Practice - 5.Ice Cream and Crime: Computing Ccirrelation Coefficients - What Are Correlations All About? - Types of Correlation Coefficients: Flavor 1 and Flavor 2 - Things to Remember - Computing a Simple Correlation Coefficient - A Visual Picture of a Correlation: The Scatterplot - Bunches of Correlations: The Correlation Matrix - Understanding What the Correlation Coefficient Means - Using-Your-Thumb Rule - A Determined Effort: Squaring the Correlation Coefficient - As More Ice Cream Is Eaten. I Yippee! I'm in Statistics - 1.Statistics or Sadistics? It's Up to You - Why Statistics? - A 5-Minute History of Statistics - Statistics: What It Is (and Isn't) - What Are Descriptive Statistics? - What Are Inferential Statistics? - In Other Words - What Am I Doing in a Statistics Class? - Ten Ways to Use This Book (and Learn Statistics at the Same Time!) - About Those Icons - Key to Difficulty Index - Glossary - Real-World Stats - Summary - Time to Practice - pt. Contents: Machine generated contents note: pt.