As degrees of freedom (df) increase, the t distribution
cannot be measured |
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approaches the distribution of raw scores |
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becomes more symmetrical |
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approaches the standard normal distribution |
You perform a two-tailed t-test with an α = .05 comparing the average reaction time to blue and red stimuli. You find that the average reaction time for blue stimuli is M = 5.3 ms and the average reaction time to red stimuli is M = 4.2 ms. The probability value for your t-test is p = .002. What can you conclude?
You cannot say whether people react faster to one color or the other. |
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On average, the reaction time for the two colors is the same. |
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On average, people have longer reaction times for blue stimuli than red stimuli. |
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On average, people have longer reaction times for red stimuli than blue stimuli. |
each person in the sample participated in both the treatment and the control conditions |
repeated measures design |
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critical region |
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between-subjects design |
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alpha |
The power of a statistical test increases as
sample size decreases |
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beta increases |
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alpha level decreases |
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sample size increases |
For a one-sample t test if the sample standard deviation is 18 and the standard error of the mean is 3, how many participants were used in this study?
9 |
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12 |
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15 |
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36 |
1)approaches the standard normal distribution
2) On average, people have longer reaction times for blue stimuli than red stimuli.
3) repeated measures design
4) sample size increases
5) participants =(18/3)2 =36
As degrees of freedom (df) increase, the t distribution cannot be measured approaches the distribution of...
the t-distribution approaches the normal distribution as the___ a. degrees of freedom increases b. degress of freedom decreases c. sample size decreases d. population size increases
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The t statistic, the t distribution, and sample size
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The Student's t distribution table gives critical values for the Student's t distribution. Use an appropriate d.f. as the row header. For a right-tailed test, the column header is the value of α found in the one-tail area row. For a left-tailed test, the column header is the value of α found in the one-tail area row, but you must change the sign of the critical value t to −t. For a two-tailed test, the column header is the value...
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