List of CalculatorsControl Limit For C Chart Control Limits for IMR Chart Control Limits for NP Chart Control Limits for P Chart Control Limit For U Chart Control Limits for Xbar-R chart Control Limits for Xbar-S chart Cost of Poor Quality Guide to Master Black Belt Competency Guide to select the right Hypothesis Test Little’s Law Net Present Value Overall Equipment Efficiency (OEE) Process capability calculator Process Cycle Efficiency R Square Adjusted Sample size calculator for mann whitney test Sample Size Calculator for 1 Proportion Test Sample Size Calculator For 2 Proportion Test Sample Size Calculator For 1 Proportion Test (Finite Population) Sample Size Calculator For 2 Proportion Test (Finite Population) Sample Size calculator For 1 Sample T Test Sample Size Calculator For 2 Sample T Test Sample Size Calculator For 1 Sample T Test (Finite Population) Sample Size Calculator For 2 Sample T Test (Finite Population) Sample Size Estimation (Mean) Sample Size Estimation(Proportion Data) Sigma Level Calculator (Continuous Data) Sigma Level Calculator (Discrete Data – Defects) Sigma Level Calculator (Discrete Data – Defectives) Takt Time Sample Size Calculator for 2 Sample T Test (Finite Population) Hint: Use this calculator to determine the number of samples required to compare two population means if you have a finite population (i.e. less than 50000) Confidence Level The minimum acceptable probability of preventing type I error 90%95%99%99.9%Power of the Test The minimum acceptable probability of preventing type II error50%80%90%95%99%Mean 1Enter the 1st population or sample mean Mean 2 Enter the 2nd population or sample mean Population Standard Deviation This is the common standard deviation of the two populations or samples (also known as the pooled standard deviation) Finite Population Enter a number less than 50,000 Confidence levelmeannumber2 sapmle T testNumber1Sample Size for 2 Sample T Test for finite populationMinimum samples required to check if the two means are similar or not for the given finite population Δ