Question 1

The following terms are not associated with an independent-samples t test, except:&#10;A) Pretest&#10;B) Independent-sample Fit line.&#10;C) Sample control.&#10;D) Control group.

Accepted Answer

An independent-samples t-test, also known as an independent t-test, is used to compare the means of two independent groups to see if there is a statistically significant difference between them. A control group, which is a group not receiving the treatment or intervention being tested, is a common feature in experiments and studies that might use an independent-samples t-test for analysis. The other options (Pretest, Independent-sample Fit line, and Sample control) are not standard terms or concepts directly associated with conducting an independent-samples t-test.

Question 2

SPSS Statistics displays the following outputs for an independent-samples t test:&#10;A) Model Summary&#10;B) One-Sample Statistics&#10;C) Group Statistics&#10;D) ANOVA

Accepted Answer

The output for an independent-samples t test should include Group Statistics to display the means and standard deviations of each group being compared. The other options (Model Summary, One-Sample Statistics, ANOVA) are not necessary for an independent-samples t test.

Question 3

Use the following statistical result to determine if the variances are assumed to be equal for an independent-samples t test: A) ANOVA Significance B) Levene's Test C) R² Linear value D) One-Sample Test Significance

Accepted Answer

Levene's Test is used to test the equality of variances assumption for an independent-samples t test. ANOVA significance is used to test for overall differences among means in more than two groups. R² Linear value and One-Sample Test Significance are not relevant to testing for equal variances.

Question 4

Use the following SPSS Statistics tool to calculate statistical significance for an independent-samples t test:&#10;A) Descriptive Statistics&#8230;&#10;B) Compare Means&#8230;&#10;C) Linear Means&#8230;&#10;D) Chart Editor&#8230;

Accepted Answer

The "Compare Means" tool in SPSS Statistics includes options for running an independent-samples t test, which is used to determine whether two groups have statistically significant differences in their means. This tool will calculate the t-value and associated p-value for the test, allowing you to interpret the results in terms of statistical significance. The other options listed (Descriptive Statistics, Linear Means, and Chart Editor) do not have the necessary functions for running an independent-samples t test.

Question 5

In SPSS Statistics, the dependent variable in an independent-samples t test is known as:&#10;A) Outcome variable.&#10;B) Test variable.&#10;C) Experimental variable.&#10;D) Control variable.

Accepted Answer

The answer of In SPSS Statistics, the dependent variable in...

Question 6

An independent-samples t test requires two variables at the scale level.

Accepted Answer

An independent-samples t test compares the means of two independent groups on a continuous variable, which requires two variables at the scale level.

Question 7

An independent-samples t test compares two independent sample means.

Accepted Answer

An independent-samples t test does indeed compare two independent sample means.

Question 8

An independent-samples t test requires one grouping variable to define the experimental and control groups.

Accepted Answer

An independent-samples t test requires one grouping variable to distinguish between the experimental and control groups.

Question 9

In research reports, you need to report the independent-samples t statistic, but not the degrees of freedom.

Accepted Answer

In research reports, both the independent-samples t statistic and the degrees of freedom need to be reported. The degrees of freedom indicate the sample size of each group and are necessary for calculating the p-value associated with the t statistic.

Question 10

Variables in an independent-sample t tests are often called baseline and experimental group.

Accepted Answer

In an independent-sample t-test, the variables are typically referred to as the groups or conditions being compared, not as baseline and experimental group. The terms "baseline" and "experimental group" are more commonly used in experimental designs to distinguish between a control condition and the condition receiving an intervention or treatment.

Deck 14: Independent-Samples T-Test