Useful Summary Tables

Symbols and R Functions

Response Explanatory Numerical_Quantity Parameter Statistic Function
quantitative - mean \(\mu\) \(\bar{x}\) t_test()
categorical - proportion \(p\) \(\hat{p}\) prop_test()
quantitative categorical difference in means \(\mu_1 - \mu_2\) \(\bar{x}_1 - \bar{x}_2\) t_test()
categorical categorical difference in proportions \(p_1 - p_2\) \(\hat{p}_1 - \hat{p}_2\) prop_test()
quantitative quantitative correlation \(\rho\) \(r\) cor.test()

Common Test Statistics and Approximate Distributions

Response Explanatory Numerical_Quantity Test_Statistic Distribution Assumptions
quantitative - mean \(\frac{\bar{x} - \mu_o}{s/\sqrt{n}}\) \(t(df = n - 1)\) \(n \geq 30\) or data are normal
categorical - proportion \(\frac{\hat{p} - p_o}{\sqrt{\frac{\hat{p}(1 - \hat{p})}{n}}}\) \(N(0, 1)\) Ten successes, Ten failures
quantitative categorical difference in means \(\frac{\bar{x}_1 - \bar{x}_2 - 0}{\sqrt{\frac{s^2_1}{n_1} + \frac{s^2_2}{n_2}}}\) \(t(df = \min(n_1, n_2) - 1)\) \(n_1, n_2 \geq 30\) or data are normal
categorical categorical difference in proportions \(\frac{\hat{p}_1 - \hat{p}_2 - 0}{\sqrt{\frac{\hat{p}(1 - \hat{p})}{n_1} + \frac{\hat{p}(1 - \hat{p})}{n_2}}}\) \(N(0, 1)\) Ten successes, Ten failures in each category
quantitative quantitative correlation \(\frac{r - 0}{\sqrt{\frac{1 - r^2}{n - 2}}}\) \(t(df = n - 2)\) \(n \geq 30\)

Common Distribution-Based Confidence Interval Formulae

Response Explanatory Numerical_Quantity Confidence_Interval Distribution Assumptions
quantitative - mean \(\bar{x} \pm t^*s/\sqrt{n}\) \(t(df = n - 1)\) \(n \geq 30\) or data are normal
categorical - proportion \(\hat{p} \pm z^* \sqrt{\frac{\hat{p}(1 - \hat{p})}{n}}\) \(N(0, 1)\) Ten successes, Ten failures
quantitative categorical difference in means \(\bar{x}_1 - \bar{x}_2 \pm t^* \sqrt{\frac{s^2_1}{n_1} + \frac{s^2_2}{n_2}}\) \(t(df = \min(n_1, n_2) - 1)\) \(n_1, n_2 \geq 30\) or data are normal
categorical categorical difference in proportions \(\hat{p}_1 - \hat{p}_2 \pm z^* \sqrt{\frac{\hat{p}_1(1 - \hat{p}_1)}{n_1} + \frac{\hat{p}_2(1 - \hat{p}_2)}{n_2}}\) \(N(0, 1)\) Ten successes, Ten failures in each category
quantitative quantitative correlation \(r \pm t^* \sqrt{\frac{1 - r^2}{n - 2}}\) \(t(df = n - 2)\) \(n \geq 30\)