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| Introduction to Statistical Thinking | |
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| Some Definitions and Basic Ideas | |
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| Math Phobia, Panic, and Terror in Social Statistics | |
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| The Practical Value of Social Statistics and Statistical Reasoning | |
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| Types of Statistical Methods | |
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| Pedagogical (Teaching) Approaches | |
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| Garbage In, Garbage Out (GIGO) | |
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| Measurement Invalidity | |
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| Sampling Problems | |
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| Faulty Causal Inferences | |
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| Political Influences | |
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| Human Fallibility | |
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| Issues in Data Preparation | |
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| Why Is Data Preparation Important? | |
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| Operationalization and Measurement | |
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| Nominal Measurement of Qualitative Variables | |
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| Measurement of Quantitative Variables | |
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| Issues in Levels of Measurement | |
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| Coding and Inputting Statistical Data | |
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| Available Computer Software for Basic Data Analysis | |
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| Displaying Data in Tables and Graphic Forms | |
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| The Importance of Data Tables and Graphs | |
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| Types of Tabular and Visual Presentations | |
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| Tables and Graphs for Qualitative Variables | |
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| Tables and Graphs for Quantitative | |
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| Variables | |
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| Ratios and Rates | |
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| Maps of Qualitative and Quantitative | |
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| Variables | |
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| Hazards and Distortions in Visual Displays and Collapsing Categories | |
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| Modes, Medians, Means, and More | |
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| Modes and Modal Categories | |
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| The Median and Other Measures of Location | |
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| The Mean and Its Meaning | |
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| Weighted Means | |
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| Strengths and Limitations of Mean Ratings | |
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| Choice of Measure of Central Tendency and Position | |
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| Measures of Variation and Dispersion | |
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| The Range of Scores | |
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| The Variance and Standard Deviation | |
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| Variances and Standard Deviations for Binary Variables | |
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| Population Versus Sample Variances & Standard Deviations | |
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| The Normal Curve and Sampling Distributions | |
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| The Normal Curve | |
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| Z-Scores as Standard Scores | |
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| Reading a Normal Curve Table | |
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| Other Sampling Distributions | |
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| Binomial Distribution | |
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| t-Distribution | |
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| Chi-Square Distribution | |
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| F-Distributions | |
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| Parameter Estimation and Confidence Intervals | |
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| Sampling Distributions and the Logic of Parameter Estimation | |
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| Inferences from Sampling Distributions to One Real Sample | |
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| Confidence Intervals: Large Samples | |
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| Confidence Intervals for Population Means | |
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| Confidence Intervals for Population Proportions | |
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| Confidence Intervals: Small Samples | |
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| Properties of the t-Distribution | |
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| Confidence Intervals for Population Means | |
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| Confidence Intervals for Population Proportions | |
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| Introduction to Hypothesis Testing | |
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| Confidence Intervals Versus Hypothesis Testing | |
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| Basic Terminology and Symbols | |
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| Types of Hypotheses | |
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| Zone of Rejection and Critical Values | |
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| Significance Levels and Errors in Decision Making | |
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| Hypothesis Testing for Means and Proportions | |
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| Types of Hypothesis Testing | |
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| One-Sample Tests of the Population Mean | |
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| One-Sample Tests of a Population Proportion | |
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| Two Sample Test of Differences in Population Means | |
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| Two Sample Test of Differences in Population Proportions | |
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| Issues in Testing Statistical Hypotheses | |
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| Statistical Association in Contingency Tables | |
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| The Importance of Statistical Association and Contingency Tables | |
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| The Structure of a Contingency Table | |
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| Developing Tables of Total, Row, and Column Percentages | |
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| The Rules for Interpreting a Contingency Table | |
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| Specifying Causal Relations in Contingency Tables | |
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| Assessing the Magnitud | |