Hypothesis testing on samples with fewer than 30 participants can be carried out by using the t-value for the corresponding level of significance in place of the z value when setting up the decision rule.

a. True
b. False

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; link

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).

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step-by-step explanation:

a 270° rotation about point p says on e d g e n u it y (had to space it out because it says it's a misspelling so i couldn't submit it