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1 | (72) |
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3 | (10) |
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Where Is This Stuff Used? |
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4 | (1) |
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Who Thought of This Stuff? |
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5 | (1) |
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5 | (1) |
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More Recent Famous People |
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5 | (1) |
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The Field of Statistics Today |
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6 | (3) |
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Descriptive Statistics---the Minor League |
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7 | (1) |
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Inferential Statistics---the Major League |
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8 | (1) |
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Ethics and Statistics---It's a Dangerous World out There |
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9 | (3) |
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12 | (1) |
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Data, Data Everywhere and Not a Drop to Drink |
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13 | (12) |
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14 | (1) |
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The Sources of Data---Where Does All This Stuff Come From? |
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15 | (3) |
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Direct Observation---I'll Be Watching You |
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16 | (1) |
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Experiments---Who's in Control? |
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17 | (1) |
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Surveys---Is That Your Final Answer? |
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17 | (1) |
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18 | (1) |
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Types of Measurement Scales---a Weighty Topic |
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18 | (2) |
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Nominal Level of Measurement |
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18 | (1) |
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Oridinal Level of Measurement |
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19 | (1) |
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Interval Level of Measurement |
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19 | (1) |
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Ratio Level of Measurement |
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19 | (1) |
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20 | (3) |
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The Role of Computers in Statistics |
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21 | (1) |
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Installing the Data Analysis Add-in |
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21 | (2) |
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23 | (2) |
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Displaying Descriptive Statistics |
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25 | (18) |
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26 | (7) |
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Constructing a Frequency Distribution |
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27 | (1) |
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(A Distant) Relative Frequency Distribution |
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28 | (1) |
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Cumulative Frequency Distribution |
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29 | (1) |
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Graphing a Frequency Distribution---the Histogram |
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30 | (1) |
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Letting Excel Do Our Dirty Work |
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30 | (3) |
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Statistical Flower Power---the Stem and Leaf Display |
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33 | (1) |
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34 | (7) |
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What's Your Favorite Pie Chart? |
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34 | (2) |
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36 | (1) |
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37 | (1) |
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Excel's Chart Wizard of Oz |
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38 | (3) |
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41 | (2) |
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Calculating Descriptive Statistics: Measures of Central Tendency (Mean, Median, and Mode) |
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43 | (14) |
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Measures of Central Tendency |
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44 | (8) |
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44 | (2) |
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46 | (1) |
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Mean of Grouped Data from a Frequency Distribution |
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47 | (3) |
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50 | (1) |
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51 | (1) |
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51 | (1) |
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Using Excel to Calculate Central Tendency |
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52 | (2) |
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54 | (3) |
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Calculating Descriptive Statistics: Measures of Dispersion |
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57 | (16) |
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58 | (1) |
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58 | (4) |
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Using the Raw Score Method (When Grilling) |
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59 | (1) |
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The Variance of a Population |
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60 | (2) |
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62 | (1) |
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Calculating the Standard Deviation of Grouped Data |
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63 | (1) |
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The Empirical Rule: Working the Standard Deviation |
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64 | (2) |
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66 | (2) |
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Measures of Relative Position |
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68 | (1) |
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68 | (1) |
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69 | (1) |
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Using Excel to Calculate Measures of Dispersion |
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69 | (1) |
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70 | (3) |
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Part 2: Probability Topics |
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73 | (80) |
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Introduction to Probability |
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75 | (10) |
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76 | (3) |
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76 | (1) |
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77 | (2) |
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79 | (1) |
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Basic Properties of Probability |
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79 | (1) |
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The Intersection of Events |
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80 | (2) |
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The Union of Events: A Marriage Made in Heaven |
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82 | (1) |
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83 | (2) |
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85 | (12) |
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86 | (2) |
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Independent Versus Dependent Events |
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88 | (1) |
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Multiplication Rule of Probabilities |
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89 | (1) |
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Mutually Exclusive Events |
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90 | (1) |
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Addition Rule of Probabilities |
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91 | (2) |
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93 | (1) |
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94 | (1) |
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94 | (3) |
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Counting Principles and Probability Distributions |
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97 | (16) |
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98 | (6) |
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The Fundamental Counting Principle |
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98 | (1) |
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99 | (2) |
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101 | (2) |
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Using Excel to Calculate Permutations and Combinations |
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103 | (1) |
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Probability Distributions |
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104 | (6) |
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105 | (1) |
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Discrete Probability Distributions |
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106 | (1) |
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Rules for Discrete Probability Distributions |
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107 | (1) |
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The Mean of a Discrete Probability Distribution |
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108 | (1) |
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The Variance and Standard Deviation of a Discrete Probability Distribution |
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109 | (1) |
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110 | (3) |
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The Binomial Probability Distribution |
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113 | (10) |
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Characteristics of a Binomial Experiment |
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114 | (1) |
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The Binomial Probability Distribution |
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115 | (3) |
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Binomial Probability Tables |
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118 | (1) |
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Using Excel to Calculate Binomial Probabilities |
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119 | (1) |
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The Mean and Standard Deviation for the Binomial Distribution |
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120 | (1) |
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121 | (2) |
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The Poisson Probability Distribution |
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123 | (12) |
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Characteristics of a Poisson Process |
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124 | (1) |
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The Poisson Probability Distribution |
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125 | (3) |
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Poisson Probability Tables |
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128 | (2) |
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Using Excel to Calculate Poisson Probabilities |
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130 | (1) |
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Using the Poisson Distribution as an Approximation to the Binomial Distribution |
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131 | (2) |
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133 | (2) |
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The Normal Probability Distribution |
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135 | (18) |
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Characteristics of the Normal Probability Distribution |
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136 | (2) |
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Calculating Probabilities for the Normal Distribution |
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138 | (9) |
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Calculating the Standard Z-Score |
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138 | (2) |
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Using the Standard Normal Table |
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140 | (5) |
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The Empirical Rule Revisited |
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145 | (1) |
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Calculating Normal Probabilities Using Excel |
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146 | (1) |
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Using the Normal Distribution as an Approximation to the Binomial Distribution |
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147 | (3) |
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150 | (3) |
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Part 3: Inferential Statistics |
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153 | (108) |
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155 | (12) |
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156 | (1) |
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157 | (6) |
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158 | (2) |
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160 | (1) |
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161 | (1) |
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162 | (1) |
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163 | (1) |
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Examples of Poor Sampling Techniques |
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164 | (1) |
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165 | (2) |
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167 | (18) |
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What Is a Sampling Distribution? |
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167 | (1) |
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Sampling Distribution of the Mean |
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168 | (4) |
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The Central Limit Theorem |
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172 | (2) |
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Standard Error of the Mean |
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174 | (1) |
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Why Does the Central Limit Theorem Work? |
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175 | (2) |
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Putting the Central Limit Theorem to Work |
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177 | (2) |
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Using the Central Limit Theorem with an Unknown Population Mean |
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179 | (1) |
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Sampling Distribution of the Proportion |
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180 | (3) |
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Calculating the Sample Proportion |
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181 | (1) |
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Calculating the Standard Error of the Proportion |
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182 | (1) |
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183 | (2) |
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185 | (18) |
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Confidence Intervals for the Mean with Large Samples |
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186 | (8) |
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186 | (1) |
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187 | (2) |
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Beware of the Interpretation of Confidence Interval! |
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189 | (1) |
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The Effect of Changing Confidence Levels |
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190 | (1) |
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The Effect of Changing Sample Size |
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191 | (1) |
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Determining Sample Size for the Mean |
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191 | (1) |
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Calculating a Confidence Interval When σ Is Unknown |
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192 | (1) |
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Using Excel's Confidence Function |
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193 | (1) |
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Confidence Intervals for the Mean with Small Samples |
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194 | (4) |
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194 | (1) |
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195 | (3) |
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Confidence Intervals for the Proportion with Large Samples |
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198 | (2) |
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Calculating the Confidence Interval for the Proportion |
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199 | (1) |
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Determining Sample Size for the Proportion |
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200 | (1) |
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200 | (3) |
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Introduction to Hypothesis Testing |
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203 | (16) |
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Hypothesis Testing---the Basics |
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204 | (5) |
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The Null and Alternative Hypothesis |
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205 | (1) |
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Stating the Null and Alternative Hypothesis |
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206 | (1) |
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206 | (2) |
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208 | (1) |
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Type I and Type II Errors |
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209 | (1) |
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Example of a Two-Tail Hypothesis Test |
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210 | (3) |
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Using the Scale of the Original Variable |
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211 | (1) |
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Using the Standardized Normal Scale |
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212 | (1) |
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Example of a One-Tail Hypothesis Test |
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213 | (3) |
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216 | (3) |
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Hypothesis Testing with One Sample |
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219 | (20) |
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Hypothesis Testing for the Mean with Large Samples |
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220 | (3) |
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220 | (1) |
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221 | (2) |
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The Role of Alpha in Hypothesis Testing |
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223 | (2) |
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225 | (2) |
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The p-Value for a One-Tail Test |
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225 | (1) |
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The p-Value for a Two-Tail Test |
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226 | (1) |
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Hypothesis Testing for the Mean with Small Samples |
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227 | (7) |
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228 | (1) |
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229 | (4) |
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Using Excel's TINV Function |
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233 | (1) |
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Hypothesis Testing for the Proportion with Large Samples |
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234 | (4) |
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One-Tail Hypothesis Test for the Proportion |
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234 | (2) |
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Two-Tail Hypothesis Test for the Proportion |
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236 | (2) |
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238 | (1) |
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Hypothesis Testing with Two Samples |
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239 | (22) |
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The Concept of Testing Two Populations |
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240 | (1) |
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Sampling Distribution for the Difference in Means |
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240 | (2) |
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Testing for Differences Between Means with Large Sample Sizes |
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242 | (3) |
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Testing a Difference Other Than Zero |
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245 | (1) |
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Testing for Differences Between Means with Small Sample Sizes and Unknown Sigma |
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246 | (4) |
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Equal Population Standard Deviations |
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247 | (2) |
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Unequal Population Standard Deviations |
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249 | (1) |
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Letting Excel Do the Grunt Work |
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250 | (2) |
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Testing for Differences Between Means with Dependent Samples |
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252 | (3) |
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Testing for Differences Between Proportions with Independent Samples |
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255 | (3) |
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258 | (3) |
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Part 4: Advanced Inferential Statistics |
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261 | (104) |
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The Chi-Square Probability Distribution |
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263 | (16) |
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Review of Data Measurement Scales |
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264 | (1) |
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The Chi-Square Goodness-of-Fit Test |
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264 | (5) |
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Stating the Null and Alternative Hypothesis |
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265 | (1) |
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Observed Versus Expected Frequencies |
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266 | (1) |
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Calculating the Chi-Square Statistic |
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267 | (1) |
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Determining the Critical Chi-Square Score |
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267 | (1) |
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Using Excel's CHIINV Function |
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268 | (1) |
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Characteristics of a Chi-Square Distribution |
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269 | (1) |
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A Goodness-of-Fit Test with the Binomial Distribution |
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270 | (2) |
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Chi-Square Test for Independence |
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272 | (3) |
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275 | (4) |
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279 | (14) |
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One-Way Analysis of Variance |
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280 | (1) |
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Completely Randomized ANOVA |
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281 | (6) |
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Partitioning the Sum of Squares |
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282 | (2) |
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Determining the Calculated F-Statistic |
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284 | (1) |
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Determining the Critical F-Statistic |
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285 | (2) |
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Using Excel's FINV Function |
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287 | (1) |
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Using Excel to Perform One-Way ANOVA |
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287 | (2) |
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289 | (1) |
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290 | (3) |
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Correlation and Simple Regression |
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293 | (72) |
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Independent Versus Dependent Variables |
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294 | (1) |
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295 | (18) |
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296 | (2) |
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Testing the Significance of the Correlation Coefficient |
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298 | (1) |
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Using Excel to Calculate Correlation Coefficients |
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299 | (1) |
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300 | (1) |
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301 | (3) |
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Confidence Interval for the Regression Line |
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304 | (2) |
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Testing the Slope of the Regression Line |
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306 | (1) |
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The Coefficient of Determination |
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307 | (1) |
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Using Excel for Simple Regression |
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308 | (1) |
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A Simple Regression Example with Negative Correlation |
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309 | (4) |
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Assumptions for Simple Regression |
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313 | (1) |
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Simple Versus Multiple Regression |
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313 | (1) |
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313 | (2) |
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A Solutions to ``Your Turn'' |
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315 | (26) |
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341 | (16) |
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357 | (8) |
| Index |
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365 | |