Paired and independent t-tests

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Last updated 4:28 PM on 11/16/22
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20 Terms

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Dependent (paired t-test)
2 samples are related, typically that the 2 samples come from the same person measured twice
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What question does a paired t-test answer?
are the differences in the scores on average significantly different from zero
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Conditions for paired t-test
both groups will have the same number of responses since the scores for each response are matched
-can't have missing data
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sample size for paired t-test
the number of paired values (half the number of total responses)
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null hypothesis for paired t test
mean of the difference is equal to zero
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assumptions for paired t-test
-random sampling
-independent observations
-normal population distribution or large sample (25+)
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alpha level
.05
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standard deviation
sqrt(sum of differences between observed and average difference of scores)/n-1
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independent t-test
comparing 2 groups of unrelated responses to see if the group means are significantly different
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how are independent t-tests different from paired t-tests?
independent t-test involves 2 entirely separate groups
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assumptions of independent t-test
-random samples
-independent observations
-normal population distribution or large sample
-independent samples
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paired t-test alternate hypothesis
mean of differences does not equal zero
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null hypothesis for independent t test
(mean of group one)-(mean of group 2)=0
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alternate hypothesis for independent t-test
(mean of group one)-(mean of group 2) does not equal zero
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degrees of freedom of independent t test
smaller sample size minus one
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bar chart of means
error bars are based on standard error
-if bars overlap there is no significant difference
-if they do not overlap there is a significant difference
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when writing hypothesis notation for independent t test
the order which you subtract the two group means does not matter as long as it's the same way calculated during t test
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When to reject the null hypothesis
When the t-stat is more extreme than the t-critical
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When to fail to reject the null hypothesis
when the t-stat falls between the t-critical values
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degrees of freedom of paired t-test
population size minus 1

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