A | B | C | D | |
---|---|---|---|---|

1 | Symbol | Name | Meaning | Type |

2 | df | Degrees of freedom. | Abbreviation | |

3 | IQR | Inter-quartile range. | Abbreviation | |

4 | NHST | Null hypothesis significance testing. The standard method of using data to test a hypothesis. | Abbreviation | |

5 | Q1 | Lower quartile (25th percentile). | Abbreviation | |

6 | Q3 | Upper quartile (75th percentile). | Abbreviation | |

7 | sd | Standard deviation. | Abbreviation | |

8 | ! | factorial | Multiple the value by all lower integers, e.g. 4! = 4x3x2x1 = 24 | Mathematical notation |

9 | < | less-than sign | is less than | Mathematical notation |

10 | > | greater-than sign | is greater than | Mathematical notation |

11 | |x| | absolute | Positive numbers stay the same. Negative numbers are changed to positive. | Mathematical notation |

12 | √ | square-root | Mathematical notation | |

13 | ≤ | less-than-or-equal-to sign | is less than or equal to | Mathematical notation |

14 | ≥ | greater-than-or-equal-to sign | is greater than or equal to | Mathematical notation |

15 | Σ | sigma | Sum of | Mathematical notation |

16 | d | Difference. Cohen's d is a measure of effect size, which is a standardised difference (Cohen's d = 1 means a difference of one standard deviation). | Statistical notation | |

17 | H₀ | H zero or H nought | Null hypothesis. | Statistical notation |

18 | H₁ or Hₐ | H one or H a | Alternative hypothesis. | Statistical notation |

19 | k | The number of levels of an independent variable. | Statistical notation | |

20 | n | Sample size. | Statistical notation | |

21 | N | Population size. | Statistical notation | |

22 | p | Probability | Statistical notation | |

23 | s | Standard deviation of a sample. | Statistical notation | |

24 | x | A particular value of variable X. | Statistical notation | |

25 | X | A particular variable. Often used to denote an independent or predictor variable. | Statistical notation | |

26 | x̄ | x bar | Mean of a sample of values of x. | Statistical notation |

27 | y | A particular value of variable Y. | Statistical notation | |

28 | Y | A particular variable. Often used to denote the dependent or criterion variable. | Statistical notation | |

29 | z | A particular standardised value (x / sₓ). | Statistical notation | |

30 | α | alpha | Critical level of significance and therefore also probability of a Type I error. | Statistical notation |

31 | β | beta | Probability of a Type II error and therefore also 1-power. | Statistical notation |

32 | μ | mu | Mean of a population. | Statistical notation |

33 | σ | sigma | Standard deviation of a population. | Statistical notation |

34 | φ | phi | The probability density function of the normal distribution. | Statistical notation |

35 | B | Unstandardised regression coefficient, usually used with subscripts where B₀ is the constant. | Test statistic | |

36 | F | ANOVA, F-test or F-ratio test statistic. Also used in the Levene's test for homogeneity of variance. | Test statistic | |

37 | H | Kruskal-Wallis H test (non-parametric one-way independent ANOVA). | Test statistic | |

38 | Q | Freidman test (non-parametric one-way repeated ANOVA). | Test statistic | |

39 | r | Pearson correlation coefficient (parametric). | Test statistic | |

40 | t | T-test test statistic. | Test statistic | |

41 | T | Historical test statistic for Wilcoxon signed-rank test (non-parametric paired t-test), which is easier to calculate by hand. | Test statistic | |

42 | U | Mann–Whitney U test (non-parametric independent t-test). | Test statistic | |

43 | W | Wilcoxon signed-rank test (non-parametric paired t-test). | Test statistic | |

44 | W | Shapiro-Wilk test of normality. | Test statistic | |

45 | W | Mauchly test of sphericity. | Test statistic | |

46 | α | alpha | Cronbach's alpha test statistic (reliability). | Test statistic |

47 | β | beta | Standardised regression coefficient | Test statistic |

48 | ε | epsilon | Measure of sphericity (estimated by both Greenhouse-Geisser and the Huynd-Feldt procedures). Sphericity is the assumption of homogeneity of variance of the differences in a repeated measures design. | Test statistic |

49 | η² | eta-squared | A measure of effect size use in one-way ANOVA. It is the proportion of the variation (sum of squares) explained by the effect. With the addition of a subscript p it becomes partial eta-squared, which is used in multi-way ANOVA. | Test statistic |

50 | ρ | rho | Spearman's rank correlation coefficient (non-parametric). | Test statistic |

51 | τ | tau | Kendall tau rank correlation coefficient (non-parametric). | Test statistic |

52 | χ² | chi-squared | Chi-squared test statistic. | Test statistic |

53 | ||||

54 | ||||

55 | ||||

56 | ||||

57 | ||||

58 | ||||

59 | ||||

60 | ||||

61 | ||||

62 | ||||

63 | ||||

64 | ||||

65 | ||||

66 | ||||

67 | ||||

68 | ||||

69 | ||||

70 | ||||

71 | ||||

72 | ||||

73 | ||||

74 | ||||

75 | ||||

76 | ||||

77 | ||||

78 | ||||

79 | ||||

80 | ||||

81 | ||||

82 | ||||

83 | ||||

84 | ||||

85 | ||||

86 | ||||

87 | ||||

88 | ||||

89 | ||||

90 | ||||

91 | ||||

92 | ||||

93 | ||||

94 | ||||

95 | ||||

96 | ||||

97 | ||||

98 | ||||

99 | ||||

100 |