Question 1

Which of the following is NOT true about Dependent Samples t Test?&#10;A) The sample groups are related&#10;B) Compares two means from one sample&#10;C) It is a within-subject design&#10;D) It does not control for any pre-existing individual differences

Accepted Answer

The Dependent Samples t Test (also known as the paired samples t test) inherently controls for pre-existing individual differences because it compares two means from the same group of subjects, thereby accounting for individual variability within the sample.

Question 2

Which if the following is a disadvantage of Dependent Samples t Test?&#10;A) One sample&#10;B) Repeated test may show improvement due to practice&#10;C) Two samples&#10;D) Normal distribution of the data

Accepted Answer

The dependent samples t-test, often used for paired or matched samples, can show improvement due to practice effects because the same subjects are tested more than once. This can lead to an overestimation of the treatment effect if the improvement is partly or wholly due to subjects becoming more familiar with the test rather than the treatment itself.

Question 3

the matching or paired participants in the depended groups has already built in a similarity between the groups or repeated data points making it possible to increase error.

Accepted Answer

Matching or pairing participants in dependent groups is designed to control for individual differences, thereby reducing error variance and increasing the sensitivity of the experiment to detect treatment effects.

Question 4

If the probability that a particular t value have occurred by chance is .000 in a Dependent Samples t Test, what can you conclude?&#10;A) The p value is too low to reject the null hypothesis&#10;B) There is a significant difference between the two means&#10;C) There is not a difference between the two means&#10;D) The p value is too low for the null hypothesis to be true

Accepted Answer

A p-value of .000 indicates a statistically significant difference between the two means, allowing us to reject the null hypothesis.

Question 5

If the results indicate that a paired samples analysis produced a significant t value [t (19) = 9..967, p < .001] what is the likelihood that the null hypothesis is true?&#10;A) Less than 1 in 1000&#10;B) Less than 1 in 100&#10;C) Less than 1%&#10;D) Less than .001%

Accepted Answer

The p-value is less than .001, indicating that the likelihood of the null hypothesis being true is less than 1 in 1000.

Question 6

What is particular about the results from a significant nondirectional hypothesis test?&#10;A) The one mean is greater than the other mean&#10;B) The one mean is less than the other mean&#10;C) That the two means are statistically different&#10;D) The difference between the two means is zero

Accepted Answer

A significant nondirectional hypothesis test indicates that there is a statistically significant difference between the two means, but it does not specify the direction of this difference (i.e., which mean is greater or lesser).

Deck 23: Dependent Samples T-Test