Question

The manager of a factory wants to compare the mean number of units assembled per employee in a week for two new assembly techniques. Two hundred employees from the factory are randomly selected and each is randomly assigued to one of the two techniques. After teaching 100 employees one technique aud 100 employees the other techuique, the manager records the aumber of uaits each of the employees assembles in one week. Which of the following would be the most appropriate inferential statistical test in this situation?
a. Oruc-sauruple z-test
b. Two-sample t-test
c. Matched Pairs t-test
d. Clai-square gooducss-of-fit test
e. One-sample t-test

Answer 1

Answer:

The most appropriate inferential statistic test in the present situation is the;

b. Two-sample t-test

Step-by-step explanation:

From the question, we have;

The number of subjects in each sample, n₁ = 100

The number of samples = 2

The nature of the test = To compare the two means

The value of the population standard deviation, σ = Unknown

From the given parameters, we have;

The t-test is a method of inferential statistics for determining whether the difference between the mean of two groups is significant, that is if the observed difference are due to chance, where the groups are likely to have some characteristics that are related

The t-test is utilized when testing an hypothesis, and it is used for small samples, where the population standard deviation is unknown

The types of t-test used are;

a) One-sample t-test

b) Two-sample t-test

c) Paired Sample t-test

Therefore, a two-sample t-test is most appropriate.