t test, because the z test requires knowing the population standard deviation and that's rare. The t test embodies an estimate of the standard deviation.
It depends on the population.Use t-test for a small population, N < 30; otherwiase, apply z-test or when N>=30.
You use a z test when you are testing a hypothesis that is using proportions You use a t test when you are testing a hypothesis that is using means
If the sample size is less then 30 use the T table, if greater then 30 use the Z table.
erwtwertgrtewh
no t test is similar to z test because t test ie used for unknown observation and z is for the medicne
t test, because the z test requires knowing the population standard deviation and that's rare. The t test embodies an estimate of the standard deviation.
a t test is used inplace of a z-test when the population standard deviation is unknown.
It depends on the population.Use t-test for a small population, N < 30; otherwiase, apply z-test or when N>=30.
You use a z test when you are testing a hypothesis that is using proportions You use a t test when you are testing a hypothesis that is using means
The answer depends on whether the test is one-tailed or two-tailed.One-tailed: z = 1.28 Two-tailed: z = 1.64
z = 1.56 gives a 2-tailed interval for 88%.z = 1.56 gives a 2-tailed interval for 88%.z = 1.56 gives a 2-tailed interval for 88%.z = 1.56 gives a 2-tailed interval for 88%.
If the sample size is less then 30 use the T table, if greater then 30 use the Z table.
The Z-value for a one-sided 91% confidence interval is 1.34
erwtwertgrtewh
When the sample size is greater than 30
When the sample size is greater than 30