Podcast
Questions and Answers
What is the appropriate distribution to represent the sampling distribution of differences when both samples are large?
What is the appropriate distribution to represent the sampling distribution of differences when both samples are large?
- F-distribution
- Chi-square distribution
- z-distribution (correct)
- t-distribution
In a paired sample t-test, what is used to calculate the test statistic?
In a paired sample t-test, what is used to calculate the test statistic?
- Pooled standard error
- Standard deviation of the differences (correct)
- Pooled variance
- Sample size
What is the null hypothesis typically set as in a paired sample t-test?
What is the null hypothesis typically set as in a paired sample t-test?
- The means of the two samples are equal (correct)
- The standard deviations of the two samples are equal
- The variances of the two samples are equal
- Both samples are equal
What value is compared to the critical t-value to make a decision in hypothesis testing?
What value is compared to the critical t-value to make a decision in hypothesis testing?
Which distribution is used when one of the two samples in an independent t-test is small?
Which distribution is used when one of the two samples in an independent t-test is small?
In a two-sample independent t-test, what assumption is made about the samples?
In a two-sample independent t-test, what assumption is made about the samples?
What does rejecting the null hypothesis in a two-sample t-test indicate?
What does rejecting the null hypothesis in a two-sample t-test indicate?
What parameter is calculated to determine if there is a statistically significant difference between two sample means in an independent t-test?
What parameter is calculated to determine if there is a statistically significant difference between two sample means in an independent t-test?
How do you make a decision regarding the null hypothesis in a paired sample t-test?
How do you make a decision regarding the null hypothesis in a paired sample t-test?
What does a high t-value signify in hypothesis testing?
What does a high t-value signify in hypothesis testing?
