Hypothesis Z Test Vs T Test. Proportion problems are never t test problems always use z. However you need to check that np 0 and n 1 p 0 are both greater than 10 where n is your sample size and p 0 is your hypothesized population proportion.
Z test is the statistical hypothesis which is used in order to determine that whether the two samples means calculated are different in case the standard deviation is available and sample is large whereas the t test is used in order to determine a how averages of different data sets differs from each other in case standard deviation or the variance is not known. This is basically saying that the population proportions for example male and female should both be. How does the t test know the population variance from a single sample.
Use a left tail t test if under the alternative hypothesis the expected value of t is less than zero.
The mean difference between the two samples is not 0. However you need to check that np 0 and n 1 p 0 are both greater than 10 where n is your sample size and p 0 is your hypothesized population proportion. We know the population variance or. Use a left tail t test if under the alternative hypothesis the expected value of t is less than zero.
