Quant Methods Formulas

Population Variance (EXAM 1)

Probability (EXAM 1)

P(outcome) = # of times the outcome occurs / n

Absolute Deviation (EXAM 1)

Adding Up All Values From First To Last (EXAM 1)

Population Z-Score (EXAM 1)

(raw score - population mean) / (sample sd)

Percentiles To Z-Scores (EXAM 1)

How To Find Sampling Distribution Of The Mean (EXAM 1)

1) take the means of multiple samples

2) take the mean values, plot them, & get their mean & SD

Standard Error / Standard Error Of The Mean (EXAM 1)

Estimate Of The Population Variance (EXAM 1)

Estimate Of The Population Standard Deviation (EXAM 1)

Sample Standard Deviation (EXAM 1)

Power (EXAM 1)

1-β

Z-Test (EXAM 1)

Left Tail (EXAM 1)

P(X<x)=0.025

Right Tail (EXAM 1)

P(X>x)=0.025

Cohen’s d (EXAM 1)

T-Test (EXAM 1)

(sample mean - reference mean) / ( (estimate of standard deviation) / (sq root sample size) )

Degrees Of Freedom (EXAM 1)

N-1 (sample size - 1)

Lower Inner Fence (EXAM 1)

Upper Inner Fence (EXAM 1)

Lower Outer Fence (EXAM 1)

Upper Outer Fence (EXAM 1)

Independent Samples T-Test (EXAM 2)

Pooled Standard Deviation (EXAM 2)

Standard Error For Independent Samples T-Test (EXAM 2)

Degrees Of Freedom For Independent Samples T-Test (EXAM 2)

N - (number of estimated means)

Cohen’s D For Independent Samples T-Test (EXAM 2)

Variance (EXAM 2)

standard deviation squared

Grand Mean

mean of all data values across all groups combined