Respuesta :
Answer: true
Step-by-step explanation:
Z-tests are statistical calculations that can be used to compare the population mean to a sample mean The z-score is used to tellsbhow far in standard deviations a data point is from the mean of the data set. z-test compares a sample to a defined population and is typically used for dealing with problems relating to large samples (n > 30). Z-tests can also be used to test a hypothesis. Z-test is most useful when the standard deviation is known.
Like z-tests, t-tests are used to test a hypothesis, but a t-test asks whether a difference between the means of two groups is not likely to have occurred because of random chance. Usually, t-tests are used when dealing with problems with a small sample size (n < 30).
Both tests (z-tests and t-tests) are used in data with normal distribution (a sample data or population data that is evenly distributed around the mean).
The t-value for the corresponding level of significance in place of the z value when setting up the decision rule is;
Option A: True
Usually in hypothesis testing of random distribution, we make use of either z-score test or t-test.
Now, z-score tests are used primarily when the sample size is large that is the sample size is greater than 30.
Whereas,when the sample size is less than 30, a t-test is used for the hypothesis.
Now, in this question we are told that the number of participants are fewer than 30. This means that we will have to use a t-test and the approach in the question is right.
Read more about t-test at; https://brainly.com/question/6501190
