Eighteen technicians in a cell phone repair shop are randomly selected to participate in a study comparing two screen repair techniques. They are randomly assigned one of the two techniques. The manager trains 9 technicians on one technique and trains the other 9 technicians on the second technique. He then records the number of screen repairs each technician does in one week. Which inferential statistical test would be most appropriate for this scenario?

A one-sample z-test
A paired t-test
A chi-square goodness-of-fit test
A one-sample t-test
A two-sample t-test

Respuesta :

Answer:

a two sample t test

Step-by-step explanation:

The inferential statistical test that would be most appropriate for this scenario is a two-sample t-test option fifth is correct.

What is a t-test?

A t-test is a hypothesis-testing technique for analyzing the means of one or two populations. A t-test can be used to see if a single group differs from a known value, if two groups differ from each other (an independent two-sample t-test), or if paired measurements show a significant difference.

Based on the information provided, there are two techniques, each with nine technicians. The sample sizes are tiny, in other words. Furthermore, the two samples are unrelated to one another. As a result, a two-sample t-test is appropriate.

Thus, the inferential statistical test that would be most appropriate for this scenario is a two-sample t-test option fifth is correct.

Learn more about the t-test here:

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