STATISTICS
T-Test : To test the significance between the difference of sample mean and population mean. This test is used when sample size is less than 30
Z-Test: A statistical test used to determine whether two population means are different when the variances are known and the sample size is large. The test statistic is assumed to have a normal distribution and nuisance parameters such as standard deviation should be known in order for an accurate z-test to be performed.
Chi square test: Test the differences between the actual and expected frequencies in case of two attributes
Queuing theory -- A.K.Erlang
Z-Test: A statistical test used to determine whether two population means are different when the variances are known and the sample size is large. The test statistic is assumed to have a normal distribution and nuisance parameters such as standard deviation should be known in order for an accurate z-test to be performed.
Chi square test: Test the differences between the actual and expected frequencies in case of two attributes
Queuing theory -- A.K.Erlang
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