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    \(n\) Sample Size   \(z_{\alpha / 2}\) Critical Value for Standard Normal Distribution
    \(N\) Population Size   \(z\) \(z\)-Test Statistic
    \(\sum\) Sum   \(df\) Degrees of Freedom
    \(\bar{x}\) Sample Mean   \(t_{\alpha / 2}\) Critical Value for t-Distribution
    \(mu\) Population Mean   t t Test Statistic
    \(s\) Sample Standard Deviation   \(\text{D}\) Difference
    \(\sigma\) Population Standard Deviation   \(\bar{D}\) Mean of the Differences
    \(s^{2}\) Sample Variance   \(s_{D}\) Standard Deviation of the Differences
    \(\sigma^{2}\) Population Variance   \(\text{F}\) F Test Statistic
    \(\text{CV}\) Coefficient of Variation   \(\text{F}_{\alpha}\) F Critical Value
    \(z\) Z-score   \(\chi^{2}\) Chi-Square Test Statistic
    IQR Interquartile Range   \(\chi_{\alpha}^{2}\) Chi-Square Critical Value
    \(P_{i}\) Percentile   E Expected Value
    \(Q_{i}\) Quartile   O Observed Value
    \(\text{P}(x)\) Probability of \(X = x\)   k Number of Groups
    \(\text{A}^{C}\) Complement Rule   SS Sum of Squares
    \(\text{A} \cap \text{B}\) Intersection   MS Mean Square
    \(\text{A} \cup \text{B}\) Union   \(r\) Sample Correlation Coefficient
    \(\text{A} | \text{B}\) Conditional Probability   \(\rho\) Population Correlation Coefficient
    \(n!\) Factorial Rule   \(R\) Multiple Correlation Coefficient
    \({}_{n} C_{r}\) Combination Rule   \(R^{2}\) Coefficient of Determination
    \({}_{n} P_{r}\) Permutation Rule   \(1 - R^{2}\) Coefficient of Nondetermination
    \(p\) Probability of a Success   \(\hat{y}\) Predicted Value of the Regression Equation
    \(q\) Probability of a Failure   \(b_{0}\) Sample Y-Intercept Coefficient
    \(p\) Population Proportion   \(b_{1}\) Population Slope Coefficient
    p P-value   \(e_{i}\) Residual
    \(\alpha\) Significance Level = \(\text{P(Type I Error)}\) = False Positive Rate   \(s_{\text{est}} = s\) Standard Error of Estimate = Standard Deviation of the Residuals
    \(1 - \alpha\) \(\text{P(True Negative)}\)   p Number of predictors in regression
    \(\beta\) \(\text{P(Type II Error)}\) = False Negative Rate   \(\varepsilon\) Error term in regression
    \(1 - \beta\) Power = \(\text{P(True Positive)}\)   \(\text{R}\) Sum of the Ranks
    \(H_{0}\) Null Hypothesis   \(w_{s}\) Wilcoxon Signed-Rank Test Statistic
    \(H_{1} = H_{a}\) Alternative Hypothesis   \(\text{U}\) Mann-Whitney U Test Statistic
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