Independent Samples t Tests

Practice flashcards covering key components and concepts of Independent Samples t Tests.

In an independent samples t test, each group is made up of __ individuals.

Different.

Each individual is measured within __ group in an independent samples t test.

One.

The comparison in an independent samples t test looks at the __ between sample means.

Difference.

To create a distribution of differences between means, you need a __ distribution.

Comparison.

The null hypothesis in an independent samples t test states that the average ratings of wine from a $10 bottle will be the __ as those from a $90 bottle.

Same.

The standard deviation of the differences between means is calculated as __ from the variances of the two groups.

The square root.

The critical values for a two-tailed test at an alpha level of 0.05 with df total = 7 are and .

-2.365, 2.365.

When sample sizes are equal, there is no need to calculate __ variance in an independent samples t test.

Pooled.

Cohen’s d can be calculated using the __ standard deviation rather than the standard error.

Pooled.

The confidence interval for an independent samples t test is centered on the __ between means.

Difference.

The null hypothesis (H0) for the wine enjoyment study can be represented as H0: μ1 = __.

μ2.

The pooled variance is a __ average of the two estimated sample variances.

Weighted.

To calculate the standard error for each group, you divide the pooled variance by __.

Sample size (N).

The test statistic for an independent samples t test simplifies when the population difference between means is almost always __.

0.

The confidence interval calculated from the t values must be reported as __ boundaries.

Lower and upper.

If the difference between upper and lower boundaries of the confidence interval does not contain _, it suggests a significant difference between means.

0.

Effect size convention indicates that a Cohen’s d of 0.2 signifies a __ effect.

Small.

An independent samples t test compares two samples obtained from __ individuals.

Different.

The overall difference examined in an independent samples t test is between the __ of the two groups, not individuals.

Means.

In an independent samples t test, if N for the groups is not the same, smaller sizes contain more __.

Sampling error.

The mean for the comparison distribution under the null hypothesis in an independent samples t test is __.

0.