Paired and independent t-tests

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Statistics

20 Terms

1
Dependent (paired t-test)
2 samples are related, typically that the 2 samples come from the same person measured twice
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2
What question does a paired t-test answer?
are the differences in the scores on average significantly different from zero
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3
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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4
sample size for paired t-test
the number of paired values (half the number of total responses)
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5
null hypothesis for paired t test
mean of the difference is equal to zero
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6
assumptions for paired t-test
-random sampling
-independent observations
-normal population distribution or large sample (25+)
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7
alpha level
.05
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8
standard deviation
sqrt(sum of differences between observed and average difference of scores)/n-1
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9
independent t-test
comparing 2 groups of unrelated responses to see if the group means are significantly different
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10
how are independent t-tests different from paired t-tests?
independent t-test involves 2 entirely separate groups
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11
assumptions of independent t-test
-random samples
-independent observations
-normal population distribution or large sample
-independent samples
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12
paired t-test alternate hypothesis
mean of differences does not equal zero
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13
null hypothesis for independent t test
(mean of group one)-(mean of group 2)=0
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14
alternate hypothesis for independent t-test
(mean of group one)-(mean of group 2) does not equal zero
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15
degrees of freedom of independent t test
smaller sample size minus one
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16
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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17
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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18
When to reject the null hypothesis
When the t-stat is more extreme than the t-critical
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19
When to fail to reject the null hypothesis
when the t-stat falls between the t-critical values
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20
degrees of freedom of paired t-test
population size minus 1
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