Association Between Two Variables
Subtopic-wise questions
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Subtopic
Point Bi-Serial Correlation — numerical + dichotomous, analogy to Pearson r
1 question
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Two Categorical Variables — contingency table, row/column relative frequencies
1 question
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Two Categorical Variables — contingency table, column relative frequencies
1 question
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Pearson Correlation — r = sxy/(sx·sy), direction & strength
1 question
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Pearson Correlation — properties; Covariance — scale-dependence
1 question
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Two Categorical Variables — contingency table, independence vs association
1 question
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Pearson Correlation — r = sxy/(sx·sy), computing from summary statistics
1 question
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Covariance — population covariance formula, sign interpretation
1 question
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Two Categorical Variables — contingency table, conditional relative frequency (row/column proportions)
1 question
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Covariance — population covariance formula Σ(xi−x̄)(yi−ȳ)/n
1 question
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Two Categorical Variables — contingency table, row/column relative frequencies, independence vs association
1 question
Subtopic
Point Bi-Serial Correlation — numerical + dichotomous variable, formula computation
1 question
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Covariance — sample covariance; Pearson Correlation — r = sxy/(sx·sy)
0 questions
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Covariance — sample covariance formula $\sum(x_i-\bar{x})(y_i-\bar{y})/(n-1)$
1 question
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Pearson Correlation — $r = s_{xy}/(s_x \cdot s_y)$, sample correlation from raw data
1 question