Questions: Question 4 0.83 pts Which one of the following characteristics is not required to conduct an independent-samples t test? a. The observations from the two samples must be independent. b. The number of groups needs to be two. c. Two samples are randomly selected from two populations. d. The two samples have equal variances.

Question 4 0.83 pts

Which one of the following characteristics is not required to conduct an independent-samples t test? a. The observations from the two samples must be independent. b. The number of groups needs to be two. c. Two samples are randomly selected from two populations. d. The two samples have equal variances.
Transcript text: Question 4 0.83 pts Which one of the following characteristics is not required to conduct an independent-samples $t$ test? a. The observations from the two samples must be independent. b. The number of groups needs to be two. c. Two samples are randomly selected from two populations. d. The two samples have equal variances.
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Solution

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Solution Steps

Step 1: Understanding the Independent-Samples t-Test Requirements

To conduct an independent-samples \( t \)-test, several characteristics must be satisfied:

  1. The observations from the two samples must be independent.
  2. The number of groups must be two.
  3. Two samples must be randomly selected from two populations.
  4. The two samples do not necessarily need to have equal variances; if the variances are unequal, Welch's \( t \)-test can be used.
Step 2: Analyzing the Options

Given the options provided in the question:

  • a. The observations from the two samples must be independent. (Required)
  • b. The number of groups needs to be two. (Required)
  • c. Two samples are randomly selected from two populations. (Required)
  • d. The two samples have equal variances. (Not required)
Step 3: Identifying the Incorrect Characteristic

From the analysis, it is clear that option d is not a requirement for conducting an independent-samples \( t \)-test, as the test can be performed even when the variances of the two samples are unequal.

Final Answer

The answer is \( \boxed{d} \).

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