Cumulative Study Aid for Statistical Formulas
1278217968 | Mean of a Sample | ![]() | 0 | |
1278217969 | Range | ![]() | 1 | |
1278217970 | Sum of Squares (Sum of Squared Deviations) Definitional Formula | ![]() | 2 | |
1278217971 | Variance- Definitional Formula | ![]() | 3 | |
1278217972 | Standard Deviation- Definitional Formula | ![]() | 4 | |
1278217973 | Sum of Squares (Sum of Squared Deviations) Computational Formula | ![]() | 5 | |
1278217974 | Variance of Population | ![]() | 6 | |
1278217975 | Standard Deviation of Population | ![]() | 7 | |
1278217976 | Variance of Sample | ![]() | 8 | |
1278217977 | Standard Deviation of Sample | ![]() | 9 | |
1278217978 | Z-score Formula | ![]() | 10 | |
1278217979 | Raw Score from a Z-score Formula (X-score) | ![]() | 11 | |
1278217980 | Standard Error | ![]() | 12 | |
1278217981 | Z-score for Sample of Means | ![]() | 13 | |
1278217982 | Effect Size for z Test (Cohen's d) | ![]() | 14 | |
1278217983 | Confidence Interval for z Test (Lower End) | ![]() | 15 | |
1278217984 | Confidence Interval for z Test (Upper End) | ![]() | 16 | |
1348020928 | Estimated Standard Error (t statistic) | ![]() | 17 | |
1348020929 | t-statistic Formula | ![]() | 18 | |
1348020930 | Degrees of Freedom (t-statistic) | ![]() | 19 | |
1348020931 | Estimated Cohen's d (t-statistic) | ![]() | 20 | |
1348020932 | Percentage of Variance Explained (t-statistic) | ![]() | 21 | |
1348020933 | Independent Measures t-test | ![]() | 22 | |
1348020934 | Estimated Standard Error (Independent Measures t-test) when sample size is the same (n1=n2) | ![]() | 23 | |
1348020935 | Pooled Variance (Independent Measures t-test) | ![]() | 24 | |
1348020936 | Estimated Standard Error (Independent Measures t-test) when sample size is NOT the same (n1≠n2) | ![]() | 25 | |
1348020937 | Degrees of Freedom (Independent Measures t-test) 2 groups | ![]() | 26 | |
1348020938 | Estimated Cohen's d (Independent Measures t-test) | ![]() | 27 | |
1348020939 | Percentage of Variance Explained (Independent Measures t-test) same as for t-test but use df(total) | ![]() | 28 |