Cumulative Distribution Mean Standard Deviation Function (CDF) If (the Normal PDF), then no exact solution is known. Use z-tables or web calculator (). The area under the curve is always equal to exactly 1 (100% probability). Use the density function, not the Integral of PDF = CDF (Distribution) distribution function, to calculate Derivative of CDF = PDF (Density) and . Expected Value Needed to calculate Variance Variance Standard Deviation
Cumulative Distribution Function (CDF) Mean Standard Deviation If (the Normal PDF), then no exact solution is known. Use z-tables or web calculator (). The area under the curve is always equal to exactly 1 (100% probability). Integral of PDF = CDF (Distribution) Use the density function, not the distribution function, to calculate and . Derivative of CDF = PDF (Density) Expected Value Needed to calculate Variance Variance Standard Deviation
Harolds_Stats_PDFs_Cheat_Sheet_2016.docx