Respuesta :
Answer:
The reason we use t procedures instead of z procedures when carrying out a test about a population mean is that " z requires that the population distribution be perfectly Normal"
Step-by-step explanation:
"Z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution."
The reason why we use t procedures instead of z procedures is because; B: z requires that you know the population standard deviation σ.
What is sampling distribution?
The hypothesis test for significant population mean μ can be done either using the z-distribution of t-distribution.
The z-distribution is used to perform a hypothesis test for μ if the following conditions are fulfilled:
Population is Normally distributed.
The population standard deviation is known.
The sample selected is large.
The t-distribution is used to perform a hypothesis test for μ if the following conditions are fulfilled;
Population is Normally distributed.
The sample selected is randomly selected.
In conclusion the reason why we use t procedures instead of z procedures is because of option A
Read more on sample distribution at; https://brainly.com/question/15713806
