Welcome to the Quiz!

This quiz contains 10 questions from a mix of 1 subtopics.

What is the purpose of student's t-test?

to compare medians between two datasets

to compare variances between two datasets

to compare modes between two datasets

to compare means between two datasets

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Which of the following conditions must be met to use student's t-test?

(Select all that apply)

the data must be normally distributed

the variances of the populations should be different

the samples must be independent of each other

the data must be discontinuous

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2

How are the degrees of freedom calculated in a student's t-test?

df =n1+n2
df =n1+n22
df =n1n2
df =n1n2+2

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What does it mean when the t statistic is greater than the critical value in a student's t-test?

the data are not normally distributed

the test is inconclusive

reject the null hypothesis

accept the null hypothesis

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What does accepting the null hypothesis in a student's t-test suggest?

there is a significant difference between the means

the variances are not equal

the data are not normally distributed

there is no significant difference between the means

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What does xˉ1 represent in the t-test formula?

standard deviation of the first dataset

mean of the second dataset

mean of the first dataset

standard deviation of the second dataset

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What does σ2 represent in the t-test formula?

mean of the second dataset

standard deviation of the first dataset

mean of the first dataset

standard deviation of the second dataset

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What does n1 represent in the t-test formula?

sample size of the second dataset

sample size of the first dataset

degrees of freedom

critical value

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What does it mean when the t statistic is less than the critical value in a student's t-test?

the data are not normally distributed

the test is inconclusive

accept the null hypothesis

reject the null hypothesis

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1

What does rejecting the null hypothesis in a student's t-test indicate?

the means are significantly different

there is no significant difference between the means

the variances are not equal

the data are not normally distributed

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1