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Module 1 Math Review, Vocabulary, and Symbols |
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1 | (7) |
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Module 2 Measurement Scales |
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8 | (5) |
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Module 3 Frequency and Percentile Tables |
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13 | (8) |
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Module 4 Graphs and Plots |
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21 | (6) |
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Module 5 Mode, Median, and Mean |
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27 | (9) |
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Module 6 Range, Variance, and Standard Deviation |
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36 | (10) |
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Module 7 Percent Area and the Normal Curve |
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46 | (4) |
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50 | (6) |
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Module 9 Score Transformations and Their Effects |
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56 | (5) |
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Module 10 Probability Definitions and Theorems |
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61 | (7) |
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Module 11 The Binomial Distribution |
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68 | (7) |
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Module 12 Sampling, Variables, and Hypotheses |
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75 | (5) |
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Module 13 Errors and Significance |
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80 | (4) |
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Module 14 The z Score as a Hypothesis Test |
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84 | (3) |
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Module 15 Standard Error of the Mean |
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87 | (5) |
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Module 16 Normal Deviate Z Test |
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92 | (5) |
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Module 17 One-Sample t Test |
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97 | (7) |
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Module 18 Interpreting and Reporting One-Sample t: Error, Confidence, and Parameter Estimates |
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104 | (5) |
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Module 19 Standard Error of the Difference Between the Means |
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109 | (5) |
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Module 20 t Test With Independent Samples and Equal Sample Sizes |
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114 | (7) |
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Module 21 t Test With Unequal Sample Sizes |
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121 | (7) |
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Module 22 t Test With Related Samples |
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128 | (9) |
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Module 23 Interpreting and Reporting Two-Sample t: Error, Confidence, and Parameter Estimates |
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137 | (4) |
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Module 24 ANOVA Logic: Sums of Squares, Partitioning, and Mean Squares |
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141 | (5) |
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Module 25 One-Way ANOVA: Independent Samples and Equal Sample Sizes |
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146 | (13) |
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159 | (8) |
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167 | (9) |
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Module 28 Main Effects and Interaction Effects |
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176 | (7) |
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Module 29 Factorial ANOVA |
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183 | (15) |
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Module 30 One-Variable Chi-Square: Goodness of Fit |
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198 | (9) |
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Module 31 Two-Variable Chi-Square: Test of Independence |
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207 | (8) |
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Module 32 Measures of Effect Size |
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215 | (8) |
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Module 33 Power and the Factors Affecting It |
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223 | (4) |
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Module 34 Relationship Strength and Direction |
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227 | (5) |
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232 | (11) |
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Module 36 Correlation Pitfalls |
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243 | (6) |
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Module 37 Linear Prediction |
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249 | (7) |
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Module 38 Standard Error of Prediction |
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256 | (5) |
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Module 39 Introduction to Multiple Regression |
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261 | (4) |
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Module 40 Selecting the Appropriate Analysis |
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265 | |