Statistics: suggestions, summaries and tips for encountering Statistics
Knowledge and assistance for discovering, identifying, recognizing, observing and defining statistics.
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| Sign | Description | Meaning in statistics |
|---|---|---|
| \[\huge{\alpha}\] | Alpha | Chance of type I error |
| \[\huge\beta\] | Beta | Chance of type II error |
| \[\huge\beta_i\] | Beta of i | Standardised regression coëfficiënt |
| \[\huge\epsilon\] | Epsilon | Error |
| \[\huge\eta^2\] | Eta squared | Measurement of effect size |
| \[\huge\mu\] | Mu | Mean of scores of population |
| \[\huge\rho\] | Rho | Correlation in population |
| \[\huge\sigma\] | Sigma | Standard deviation |
| \[\huge\sigma^2\] | Sigma squared | Variance of population |
| \[\huge\sigma_x\] | Standard error | |
| \[\huge\tau\] | Kendall’s Tau | A non-parametric correlation coefficient |
| \[\huge\varphi\] | Phi | Association between two categorical variables |
| \[\huge \chi^2\] | Chi-square | Association between two categorical variables |
| \[\huge\omega^2\] | Omega squared | Measurement of effect size |
| Sign | Meaning in statistics |
|---|---|
| \[\huge b_i\] | Regression coefficient |
| \[\huge df\] | Degrees of freedom |
| \[\huge e_i\] | Error associated with variable i |
| \[\huge F\] | F-statistic |
| \[\huge H\] | Kruskall-Wallis test statistic |
| \[\huge k\] | Number of levels of variables |
| \[\huge ln\] | Natural logarithm |
| \[\huge MS\] | Mean squared error |
| \[\huge N, n, n_1\] | Size of sample of population |
| \[\huge P\] | Probablity |
| \[\huge r\] | Pearson’s correlationcoefficient |
| \[\huge r_s\] | Spearman’s rank correlationcoefficient |
| \[\huge r_b\] | Biserial correlationcoefficient |
| \[\huge r\] | Multiple correlationcoefficient |
| \[\huge R^2\] | Determination coefficient |
| \[\huge s\] | Standard deviation of sample of population |
| \[\huge s^2\] | Variance of sample of population |
| \[\huge SS\] | Sum of squares |
| \[\huge SSA\] | Sum of squares of variable A |
| \[\huge SS_M\] | Model of sum of squares |
| \[\huge SS_R\] | Rest sum of squares |
| \[\huge SST\] | Total sum of squares |
| \[\huge t\] | Test statistic for t-test |
| \[\huge t\] | Test statistic for Wilcoxon’s matched-pairs signed-rank test |
| \[\huge U\] | Test statistic for Mann-Whitney test |
| \[\huge W_s\] | Test statistic for Wilcoxon’s rank-sum test |
| \[\huge\bar{x}\] | Mean of sample scores |
| \[\huge z\] | Point of data expressed in units of standard deviation |
| Sign | Description | Meaning in statistics |
|---|---|---|
| \[\huge\bar{\small[value]}\] | Bar notation | Mean of: [value], or everything directly below the bar sign |
| \[\huge\hat{\small[value]}\] | Hat operator notation | Estimator (or predicted value of a sample) of: [value], or everything directly below the hat operator sign |
| \[\LARGE\prod \small[value]\] | Product notation | Multiplying of: [value], or everything directly after the product sign |
| \[\LARGE\sum \small[value]\] | Sigma notation | Summification of: [value], or everything directly after the sigma sign |
| \[\huge\sqrt{\small[value]}\] | Square root notation | Square root of: [value], or everything directly after the square root sign |
Explanations, glossary and practice questions with fundamental concepts and tips, explanations and examples per topic when encountering, understanding and applying statistics
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