T-tests Flashcards

(17 cards)

1
Q

Is a t-distribution useful in comparing group means?

A

Yes
The critical value tells us how likely it is that two sample means at a specified distance from one another will occur in two randomly drawn samples from the same population
The distance between sample means in a sampling distribution of means is measured in units called standard errors of the mean

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2
Q

What does it mean if the means of two groups are separated by a distance less than the critical t?

A

We can conclude that they are probably from the same population
This finding supports the null hypothesis that the population means of the two groups are equal

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3
Q

What does it mean if the means of two groups are separated by a distance greater than the critical t?

A

We can conclude that they are probably from different populations
The intervention did work
This finding supports the alternative hypothesis

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4
Q

What are the three types of t tests?

A

One sample t - only have one sample, want to test this against a hypothetical group mean
Dependent samples t - have two means, same subjects in both groups
Independent samples t - two means and two groups

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5
Q

What assumptions must be met for a t-test?

A

The means are calculated from interval or ratio data
Sample size per group should be at least 20-30
Dependent samples - data are paired by a strong commonality and the paired difference scores are approx normally distributed
Independent samples - observations are independent of one another, equal variances between groups, and data within groups are approx normally distributed

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6
Q

How do you calculate a t-score?

A

Divide the difference in means by the sample SEM (SD/square root of n)

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7
Q

What does it mean if the t statistic is greater than the critical value?

A

Reject the null hypothesis and conclude that there is a difference between groups

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8
Q

How is the population of possible sample means distributed?

A

Based on the sampling distribution of means

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9
Q

What are within-subject designs?

A

The two sets of data may come from dependent sample(s); e.g. “before treatment” and “after treatment”

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10
Q

What are between-subject designs?

A

The two sets of data may come from two independent samples (e.g. women and men, or a randomized controlled design)

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11
Q

What does the dependent samples t-test test?

A

The average of the differences between paired measurements against 0 (null value)

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12
Q

How do you calculate the t-score for a dependent samples t-test?

A

Mean difference within pairs/standard error of difference scores

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13
Q

How do you calculate the standard error of difference scores?

A

SD of difference/square root of n

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14
Q

How do you calculate confidence intervals for dependent samples?

A

Mean of the difference scores +/- t-critical(standard error of difference scores)
*if it does not cross zero, you would reject the null

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15
Q

What is the equation for an independent samples t-test?

A

Between group variability/within-group variability

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16
Q

What is the equation for within-group variability?

A

Sq root ((s1^2/n1) + (s2^2/n2))