Cumulative Study Aid for Statistical Formulas
1743465554 | Mean of a Sample | ![]() | 0 | |
1743465555 | Range | ![]() | 1 | |
1743465556 | Sum of Squares (Sum of Squared Deviations) Definitional Formula | ![]() | 2 | |
1743465557 | Variance- Definitional Formula | ![]() | 3 | |
1743465558 | Standard Deviation- Definitional Formula | ![]() | 4 | |
1743465559 | Sum of Squares (Sum of Squared Deviations) Computational Formula | ![]() | 5 | |
1743465560 | Variance of Population | ![]() | 6 | |
1743465561 | Standard Deviation of Population | ![]() | 7 | |
1743465562 | Variance of Sample | ![]() | 8 | |
1743465563 | Standard Deviation of Sample | ![]() | 9 | |
1743465564 | Z-score Formula | ![]() | 10 | |
1743465565 | Raw Score from a Z-score Formula (X-score) | ![]() | 11 | |
1743465566 | Standard Error | ![]() | 12 | |
1743465567 | Z-score for Sample of Means | ![]() | 13 | |
1743465568 | Effect Size for z Test (Cohen's d) | ![]() | 14 | |
1743465569 | Confidence Interval for z Test (Lower End) | ![]() | 15 | |
1743465570 | Confidence Interval for z Test (Upper End) | ![]() | 16 | |
1743465571 | Estimated Standard Error (t statistic) | ![]() | 17 | |
1743465572 | t-statistic Formula | ![]() | 18 | |
1743465573 | Degrees of Freedom (t-statistic) | ![]() | 19 | |
1743465574 | Estimated Cohen's d (t-statistic) | ![]() | 20 | |
1743465575 | Percentage of Variance Explained (t-statistic) | ![]() | 21 | |
1743465576 | Independent Measures t-test | ![]() | 22 | |
1743465577 | Estimated Standard Error (Independent Measures t-test) when sample size is the same (n1=n2) | ![]() | 23 | |
1743465578 | Pooled Variance (Independent Measures t-test) | ![]() | 24 | |
1743465579 | Estimated Standard Error (Independent Measures t-test) when sample size is NOT the same (n1≠n2) | ![]() | 25 | |
1743465580 | Degrees of Freedom (Independent Measures t-test) 2 groups | ![]() | 26 | |
1743465581 | Estimated Cohen's d (Independent Measures t-test) | ![]() | 27 | |
1743465582 | Percentage of Variance Explained (Independent Measures t-test) same as for t-test but use df(total) | ![]() | 28 |