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1.
(Points: 0.1)
By selecting "Yes" below I, the student, acknowledge that it is my responsibility to enter the answers as it is specified in the "Answer formatting" file on the HomePage and I take full responsibility for loss of points on this assessment for entering correct but wrongly formatted answers. I understand that only correctly formatted answers will be given credit.

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1. Yes
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2.
(Points: 0.5)
If n = 15 for each sample, which of the following sets of data provides the clearest difference between the two samples?

1. a sample mean difference of 5 points with s2 = 5 for both samples
2. a sample mean difference of 5 points with s2 = 10 for both samples
3. a sample mean difference of 10 points with s2 = 5 for both samples
4. a sample mean difference of 10 points with s2 = 10 for both samples
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3.
(Points: 0.5)
In a hypothesis test, the only way to obtain a value of zero for the independent measures t statistic is when M1 = M2.

TrueFalse
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4.
(Points: 0.5)
The independent-measures t test uses data from two separate samples to test a hypothesis about the mean difference between two populations.

TrueFalse
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5.
(Points: 0.5)
Which of the following is the correct null hypothesis for an independent-measures t test?

1. μ1 –μ2 = 0
2. M1 – M2 = 0
3. μ1 – μ1 not equalt to 0
4. M1 – M2 not equal to 0
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6.
(Points: 0.5)
One sample of n = 5 scores has a variance of s2 = 10 and a second sample of n = 10 scores has s2 = 20. What can you conclude about the pooled variance for these two samples?

1. It will be closer to 10 than to 20.
2. It will be closer to 20 than to 10.
3. It will be exactly half way between 10 and 20.
4. Cannot be determined without more information
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7.
(Points: 0.5)
If two samples both have n = 5 and SS = 40, then the pooled variance is 10.

TrueFalse
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8.
(Points: 0.5)
If two samples are the same size (n1 = n1), then the pooled variance is the average of the two sample variances.

TrueFalse
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9.
(Points: 0.5)
The estimated standard error for the independent-measures t statistic combines the error from each of the two separate samples.

TrueFalse
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10.
(Points: 0.5)
One sample hasn = 5 scores and the second has n = 10 scores. If the pooled variance for the two sample is 30, then what is the value of the estimated standard error for the sample mean difference?
Answer Fill in the Blank 01
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11.
(Points: 0.5)
An independent-measures study comparing two treatment conditions produces a t statistic with df = 18. If the two samples are the same size, how many participants were in each of the samples?
Answer Fill in the Blank 01
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12.
(Points: 0.5)
The results of an independent-measures study produce a t statistic with df = 36. How many individuals participated in the entire study?
Answer Fill in the Blank 01
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13.
(Points: 0.5)
If the df value for an independent-measures t statistic is an odd number, then it is impossible for the two samples to be the same size.

TrueFalse
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14.
(Points: 0.5)
An independent-measures study with n = 6 in each sample, produces a sample mean difference of 4 points and a pooled variance of 12. What is the value for the t statistic? Answer Fill in the Blank 01
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15.
(Points: 0.5)
The following data are from an independent-measures experiment comparing two treatment conditions.


Treatment 1: 1, 2, 3, 4, 5
Treatment 2: 6, 10, 12, 14, 18

Do these data indicate a significant difference between the treatments at the 0.01 level of significance?
df = Fill in the Blank 01
Pooled var. = Fill in the Blank 02
Standard error = Fill in the Blank 03
t = Fill in the Blank 04
Reject null ("yes" or "no")? Fill in the Blank 05
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16.
(Points: 0.5)
Two samples, each with n = 15 individuals, are used to evaluate the difference between two treatment conditions. If the researcher uses a two-tailed test with α = .05, then the critical region for the t statistic begins at t = +/-Fill in the Blank 01
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17.
(Points: 0.5)
An educational psychologist studies the effect of frequent testing on retention of class material. In one section of an introductory course, students are given quizzes each week. A second section of the same course receives only two tests during the semester. At the end of the semester, both sections receive the same final exam, and the scores are summarized below:

Quizzes: n = 20, M = 73, s2= 38
Exams: n = 20, M = 68, s2 = 42

Do the data indicate that testing frequency has a significant effect on performance? Use a two-tailed test at the .05 level of significance.

df=Fill in the Blank 01
Pooled var. = Fill in the Blank 02
Standard error = Fill in the Blank 03
t=Fill in the Blank 04
Reject null ("yes" or "no")? Fill in the Blank 05
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18.
(Points: 0.5)
The following data are from an independent-measures experiment comparing two treatment conditions.

Treatment 1: 9, 7, 11, 13
Treatment 2: 5, 5, 9, 9

Do these data indicate a significant difference between the treatments at the 0.05 level of significance, two-tailed test?
df = Fill in the Blank 01
Pooled var. = Fill in the Blank 02
Standard error = Fill in the Blank 03
t = Fill in the Blank 04
Reject null ("yes" or "no")? Fill in the Blank 05
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19.
(Points: 0.5)
An independent-measures study produces t(21) = 3.00, p < .01. For this study, if effect size is measured with r2, then r2 = 9/30.

TrueFalse
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20.
(Points: 0.5)
For an independent-measures research study, the data show an 8-point difference between the two treatment means and a pooled variance of 4. Given this information, what is the value of Cohen’s d?
Answer Fill in the Blank 01
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21.
(Points: 0.5)
An independent-measures study has M1 = 49 and M2 = 45 with an estimated standard error of 4. For this study, Cohen’s d = 4/4 = 1.00.

TrueFalse

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