Define type 1error
What is the difference between t- Test, and z test
|Error Table||Null Hypothesis is|
|Decision about Null Hypothesis is,||Don't Reject||Correct inference
(probability = 1−α)
|Type II error
(probability = β)
|Reject||Type I error
(probability = α)
(probability = 1−β)
Both Z test and t test are assumed to have a normally distributed data, z test is used when there large sample size (n>30), while t test is used when there is small sample size (n<=30).
Z test is mostly used when the standard deviation is known.
Get Answers For Free
Most questions answered within 1 hours.