Deck 10: The T Test for Two Independent Samples
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Deck 10: The T Test for Two Independent Samples
1
One sample has a variance of s2 = 10 and a second sample has a variance of s2 = 6.If the two samples have the same number of scores,what is the pooled variance for the two samples?
A)4
B)8
C)14
D)16
A)4
B)8
C)14
D)16
8
2
What is the pooled variance for the following two samples?Sample 1:n = 8 and SS = 168Sample 2:n = 6 and SS = 120
A)7
B)Ö7
C)20.57
D)24
A)7
B)Ö7
C)20.57
D)24
24
3
Two samples,each with n = 6 subjects,produce a pooled variance of 20.Based on this information,what is the estimated standard error for the sample mean difference?
A)20/6
B)20/12
C)The square root of (20/6 + 20/6)
D)The square root of (20/5 + 20/5)
A)20/6
B)20/12
C)The square root of (20/6 + 20/6)
D)The square root of (20/5 + 20/5)
The square root of (20/6 + 20/6)
4
Which of the following is the correct null hypothesis for an independent-measures t test?
A)μ1 - μ2 = 0
B)M1 - M2 = 0
C)μ1 - μ2 ≠ 0
D)M1 - M2 ≠ 0
A)μ1 - μ2 = 0
B)M1 - M2 = 0
C)μ1 - μ2 ≠ 0
D)M1 - M2 ≠ 0
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5
One sample has n = 10 scores and a variance of s2 = 20,and a second sample has n = 15 scores and a variance of s2 = 30.What can you conclude about the pooled variance for these two samples?
A)It will be closer to 20 than to 30.
B)It will be closer to 30 than to 20.
C)It will be exactly half way between 20 and 30.
D)It will be equal to 25.
A)It will be closer to 20 than to 30.
B)It will be closer to 30 than to 20.
C)It will be exactly half way between 20 and 30.
D)It will be equal to 25.
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6
A research design that uses a separate group of participants for each treatment condition(or for each population)is called an independent-measures research designor a____.
A)repeated-measures design
B)dependent-measures design
C)between-subjects design
D)within-subjects design
A)repeated-measures design
B)dependent-measures design
C)between-subjects design
D)within-subjects design
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7
An independent-measures study uses ____.
A)a different group of participants for each of the treatment conditions being compared
B)the same group of participants in all of the treatment conditions being compared
C)one group of participants to evaluate a hypothesis about one population mean
D)one individual to study andestimate population parameters
A)a different group of participants for each of the treatment conditions being compared
B)the same group of participants in all of the treatment conditions being compared
C)one group of participants to evaluate a hypothesis about one population mean
D)one individual to study andestimate population parameters
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8
A researcher reports t(22)= 5.30,p < .01 for an independent-measures experiment.How many individuals participated in the entire experiment?
A)20
B)21
C)23
D)24
A)20
B)21
C)23
D)24
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9
In an independent-measures hypothesis test,what must be true if t = 0?
A)The two population means must be equal.
B)The two sample means must be equal.
C)The two sample variances must be equal.
D)The two sample means are not equal.
A)The two population means must be equal.
B)The two sample means must be equal.
C)The two sample variances must be equal.
D)The two sample means are not equal.
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10
An independent-measures study has one sample with n = 10 and a second sample with n = 15 to compare two experimental treatments.What is the df value for the t statistic for this study?
A)23
B)24
C)26
D)27
A)23
B)24
C)26
D)27
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11
One sample of n = 8 scores has a variance of s2 = 6 and a second sample of n = 8 scores has s2 = 10.If the pooled variance is computed for these two samples,then the value obtained will be ____.
A)closer to 6 than to 10
B)closer to 10 than to 6
C)exactly half way between 6 and 10
D)equal to 10
A)closer to 6 than to 10
B)closer to 10 than to 6
C)exactly half way between 6 and 10
D)equal to 10
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12
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?
A)1
B)2
C)4/6
D)4/8
A)1
B)2
C)4/6
D)4/8
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13
The data from an independent-measures research study produce a sample mean difference of 6 points and an estimated standard error of 2 points.If there are n = 8 scores in each sample,then the value for the t statistic is ____.
A)6/2
B)6/4
C)6/0.25
D)6/0.50
A)6/2
B)6/4
C)6/0.25
D)6/0.50
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14
An independent-measures study uses two samples,each with n = 10,to compare two treatment conditions.What is the df value for the t statistic for this study?
A)8
B)9
C)18
D)19
A)8
B)9
C)18
D)19
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15
Two samples,each with n = 5 scores,have a pooled variance of 40.What is the estimated standard error for the sample mean difference??
A)?4
B)?8
C)?10
D)?
A)?4
B)?8
C)?10
D)?
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16
Researchers conduct a hypothesis test and use the data from two separate sets of observations drawn from the same group of participants.Their research design is called a repeated-measures research design or a(n)____.
A)independent-measures design
B)dependent-measures design
C)between-subjects design
D)within-subjects design
A)independent-measures design
B)dependent-measures design
C)between-subjects design
D)within-subjects design
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17
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?
A)9
B)10
C)19
D)20
A)9
B)10
C)19
D)20
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18
One sample has n = 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?
A)The square root of (30/15)
B)The square root of (60/15)
C)The square root of (30/5 + 30/10)
D)The square root of (30/4 + 30/9)
A)The square root of (30/15)
B)The square root of (60/15)
C)The square root of (30/5 + 30/10)
D)The square root of (30/4 + 30/9)
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19
The data from an independent-measures research study produce a sample mean difference of 4 points and a pooled variance of 16.If there are n = 8 scores in each sample,then what is the estimated standard error for the sample mean difference?
A)2
B)4
C)16
D)128
A)2
B)4
C)16
D)128
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20
A researcher reports an independent-measures t statistic with df = 30.If the two samples are the same size (n1 = n2),then how many individuals are in each sample?
A)n = 15
B)n = 16
C)n = 30
D)n = 31
A)n = 15
B)n = 16
C)n = 30
D)n = 31
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21
Assuming that there is a 5-point difference between the two sample means,which set of sample characteristics is most likely to produce a significant value for the independent-measures t statistic?
A)large sample sizes and small sample variances
B)large sample sizes and large sample variances
C)small sample sizes and small sample variances
D)small sample sizes and large sample variances
A)large sample sizes and small sample variances
B)large sample sizes and large sample variances
C)small sample sizes and small sample variances
D)small sample sizes and large sample variances
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22
An independent-measures research study uses two samples,each with n = 12 participants.If the data produce a t statistic of t = 2.08,then which of the following is the correct decision for a two-tailed hypothesis test?
A)Reject the null hypothesis with α = .05 but fail to reject with α = .01
B)Reject the null hypothesis with either α = .05 or α = .01
C)Fail to reject the null hypothesis with either α = .05 or α = .01
D)It cannot be answered without additional information.
A)Reject the null hypothesis with α = .05 but fail to reject with α = .01
B)Reject the null hypothesis with either α = .05 or α = .01
C)Fail to reject the null hypothesis with either α = .05 or α = .01
D)It cannot be answered without additional information.
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23
For an independent-measures research study,what is measured by Cohen's d or r2?
A)The risk of a Type I error
B)The risk of a Type II error
C)The size of the difference between the two treatments
D)Whether the difference between the two treatments is likely to have occurred by chance
A)The risk of a Type I error
B)The risk of a Type II error
C)The size of the difference between the two treatments
D)Whether the difference between the two treatments is likely to have occurred by chance
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24
Two samples,each with n = 9 scores,produce an independent-measures t statistic oft = 2.00.If the effect size is measured using r2,what is the value ofr2?
A)4/16
B)4/20
C)2/16
D)2/18
A)4/16
B)4/20
C)2/16
D)2/18
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25
Which of the following sets of data would produce the largest value for an independent-measures t statistic?
A)The two sample means are 10 and 12 with sample variances of 20 and 25
B)The two sample means are 10 and 12 with variances of 120 and 125
C)The two sample means are 10 and 20 with variances of 20 and 25
D)The two sample means are 10 and 20 with variances of 120 and 125
A)The two sample means are 10 and 12 with sample variances of 20 and 25
B)The two sample means are 10 and 12 with variances of 120 and 125
C)The two sample means are 10 and 20 with variances of 20 and 25
D)The two sample means are 10 and 20 with variances of 120 and 125
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26
For an independent-measures t statistic,what is the effect of increasing the number of scores in the samples?
A)Increase the likelihood of rejecting H0 and increase measures of effect size.
B)Increase the likelihood of rejecting H0 and decrease measures of effect size.
C)Increase the likelihood of rejecting H0 and have little or no effect on measures of effect size.
D)Decrease the likelihood of rejecting H0 and have little or no effect on measures of effect size.
A)Increase the likelihood of rejecting H0 and increase measures of effect size.
B)Increase the likelihood of rejecting H0 and decrease measures of effect size.
C)Increase the likelihood of rejecting H0 and have little or no effect on measures of effect size.
D)Decrease the likelihood of rejecting H0 and have little or no effect on measures of effect size.
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27
Two separate samples are being used to estimate the difference between population means for two treatment conditions.Which of the following would produce the widest confidence interval?
A)n1 =n2 = 10 with a pooled variance of 10
B)n1 =n2 = 10 with a pooled variance of 100
C)n1 =n2 = 20 with a pooled variance of 10
D)n1 =n2 = 20 with a pooled variance of 100
A)n1 =n2 = 10 with a pooled variance of 10
B)n1 =n2 = 10 with a pooled variance of 100
C)n1 =n2 = 20 with a pooled variance of 10
D)n1 =n2 = 20 with a pooled variance of 100
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28
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?
A)8/4
B)8/2
C)4/8
D)8/1
A)8/4
B)8/2
C)4/8
D)8/1
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29
For the independent-measures t statistic,what is the effect of increasing the sample variances?
A)Increase the likelihood of rejecting H0 and increase measures of effect size.
B)Increase the likelihood of rejecting H0 and decrease measures of effect size.
C)Decrease the likelihood of rejecting H0 and increase measures of effect size.
D)Decrease the likelihood of rejecting H0 and decrease measures of effect size.
A)Increase the likelihood of rejecting H0 and increase measures of effect size.
B)Increase the likelihood of rejecting H0 and decrease measures of effect size.
C)Decrease the likelihood of rejecting H0 and increase measures of effect size.
D)Decrease the likelihood of rejecting H0 and decrease measures of effect size.
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30
If n = 15 for each sample,which of the following sets of data provides the clearest difference between the two samples?
A)A sample mean difference of 5 points with s2 = 5 for both samples
B)A sample mean difference of 5 points with s2 = 10 for both samples
C)A sample mean difference of 10 points with s2 = 5 for both samples
D)A sample mean difference of 10 points with s2 = 10 for both samples
A)A sample mean difference of 5 points with s2 = 5 for both samples
B)A sample mean difference of 5 points with s2 = 10 for both samples
C)A sample mean difference of 10 points with s2 = 5 for both samples
D)A sample mean difference of 10 points with s2 = 10 for both samples
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31
One sample has M = 18 and a second sample has M = 14.If the pooled variance for the two samples is 16,then what is the value of Cohen's d?
A)0.25
B)0.50
C)1.00
D)4.00
A)0.25
B)0.50
C)1.00
D)4.00
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32
The results of an independent-measures research study are reported as "t(20)= 2.12,p < .05,two tails."For this study,what t values formed the boundaries for the critical region?
A)±2.093
B)±2.086
C)±2.080
D)±2.074
A)±2.093
B)±2.086
C)±2.080
D)±2.074
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33
For the independent-measures t statistic,what is the effect of increasing the difference between sample means?
A)Increase the likelihood of rejecting H0 and increase measures of effect size.
B)Increase the likelihood of rejecting H0 and decrease measures of effect size.
C)Decrease the likelihood of rejecting H0 and increase measures of effect size.
D)Decrease the likelihood of rejecting H0 and decrease measures of effect size.
A)Increase the likelihood of rejecting H0 and increase measures of effect size.
B)Increase the likelihood of rejecting H0 and decrease measures of effect size.
C)Decrease the likelihood of rejecting H0 and increase measures of effect size.
D)Decrease the likelihood of rejecting H0 and decrease measures of effect size.
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34
Which combination of factors is most likely to produce a significant value for an independent-measures t statistic?
A)large samples and large variance
B)large samples and small variance
C)small samples and large variance
D)small samples and small variance
A)large samples and large variance
B)large samples and small variance
C)small samples and large variance
D)small samples and small variance
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35
If other factors are held constant,which of the following sets of data would produce the largest value for an independent-measures t statistic?
A)The two samples both have n = 15 with sample variances of 20 and 25.
B)The two samples both have n = 15 with variances of 120 and 125.
C)The two samples both have n = 30 with sample variances of 20 and 25.
D)The two samples both have n = 30 with variances of 120 and 125.
A)The two samples both have n = 15 with sample variances of 20 and 25.
B)The two samples both have n = 15 with variances of 120 and 125.
C)The two samples both have n = 30 with sample variances of 20 and 25.
D)The two samples both have n = 30 with variances of 120 and 125.
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36
An independent-measures research study uses two samples,each with n = 12 participants.If the data produce a t statistic of t = 2.50,then which of the following is the correct decision for a two-tailed hypothesis test?
A)Reject the null hypothesis with α = .05 but fail to reject with α = .01.
B)Reject the null hypothesis with either α = .05 or α = .01.
C)Fail to reject the null hypothesis with either α = .05 or α = .01.
D)It cannot be answered without additional information.
A)Reject the null hypothesis with α = .05 but fail to reject with α = .01.
B)Reject the null hypothesis with either α = .05 or α = .01.
C)Fail to reject the null hypothesis with either α = .05 or α = .01.
D)It cannot be answered without additional information.
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37
Which set of sample characteristics is most likely to produce a significant value for the independent-measures t statistic?
A)A small mean difference and small sample variances
B)A large mean difference and small sample variances
C)A small mean difference and large sample variances
D)A large mean difference and large sample variances
A)A small mean difference and small sample variances
B)A large mean difference and small sample variances
C)A small mean difference and large sample variances
D)A large mean difference and large sample variances
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38
If the sample mean difference is 3 points,which of the following sets of data would produce the largest value for Cohen's d?
A)n = 10 for both samples and a pooled variance of 15
B)n = 20 for both samples and a pooled variance of 15
C)n = 30 for both samples and a pooled variance of 15
D)Cohen's d is the same for all three of the samples.
A)n = 10 for both samples and a pooled variance of 15
B)n = 20 for both samples and a pooled variance of 15
C)n = 30 for both samples and a pooled variance of 15
D)Cohen's d is the same for all three of the samples.
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39
An independent-measures study produces sample means of M1 = 35 and M2 = 31 and a pooled variance of 25.For this study,Cohen's d = ____.
A)d = 4/25
B)d = 25/4
C)d = 4/5
D)d = 5/4
A)d = 4/25
B)d = 25/4
C)d = 4/5
D)d = 5/4
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40
Two samples,each with n = 8,produce an independent-measures t statistic of t = -2.15.Which of the following decisions is justified for a two-tailed hypothesis test?
A)Reject H0 with α = .05 but fail to reject with α = .01.
B)Reject H0 with α = .05 and reject H0 with α = .01.
C)Fail to reject H0 with α = .05 and fail to reject with α = .01.
D)Fail to reject H0 with α = .05 but reject H0 with α = .01.
A)Reject H0 with α = .05 but fail to reject with α = .01.
B)Reject H0 with α = .05 and reject H0 with α = .01.
C)Fail to reject H0 with α = .05 and fail to reject with α = .01.
D)Fail to reject H0 with α = .05 but reject H0 with α = .01.
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41
The independent-measures t statistic uses the data from two separate samples to draw inferences about the mean difference between two populations or between two different treatment conditions.
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42
If the two samples are the same size,the independent measures t statistic will have an even number for degrees of freedom.
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43
If an independent-measures t statistic has df = 20,then there were a total of 18 individuals participating in the research study.
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44
The results from an independent-measures t hypothesis test are reported as "t(14)= 2.13,p > .05,two tailed."For this test,the null hypothesis was rejected.
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45
One method for correcting the bias in the standard error is to "pool" the two sample variances using a procedure that allows the bigger sample to carry more weight in determining the final value of the variance.
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46
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.
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47
Two separate samples,each with n = 10 scores,will produce an independent-measures t statistic with df = 19.
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48
For an independent-measures t statistic,the estimated standard error measures how much difference is reasonable to expect between the two sample means if the null hypothesis is true.
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49
?Two samples,each with n = 4 scores,have a pooled variance of 32.The estimated standard error for the sample mean difference is .
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50
For a hypothesis test with the independent-measures t statistic,the null hypothesis states that the two population means are the same and the homogeneity assumption states that the two population variances are the same.
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51
When pooling variances,the resulting value will be closer to the variance for the sample with the smaller number of scores.
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52
The null hypothesis for the independent-measures t test states that there is no difference between the two sample means.
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53
For an independent-measures t statistic,you typically must compute the pooled variance before calculating the estimated standard error.
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54
If two sample variances are not equal,the pooled variance will be closer to the larger of the two variances.
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55
If both samples have the same number of scores (n),then the independent-measures t statistic will have df = 2n - 2.
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56
The estimated standard error for the independent-measures t statistic provides a measure of how much difference should exist,on average,between two sample means for samples selected from the same population.
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57
If one sample has n = 5 scores with SS = 40 and a second sample has n = 5 scores with SS = 20,then the pooled variance will be 60/10 = 6.
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58
If two samples each have s2 = 10,then the pooled variance will be equal to 20,regardless of sample size.
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59
If the two samples are the same size,then the pooled variance will equal the average of the two sample variances.
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60
One sample has n = 7 scores with SS = 40,and a second sample has n = 5 scores with SS = 80.The pooled variance for these two samples is 120/10 = 12.
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61
The problems associated with high variance often can be minimized by transforming the original scores to ranks and then conducting an alternative statistical analysis known as the Mann-Whitney test.
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62
If two separate samples have M1 = 10 and M2 = 18 with a pooled variance of 16,then Cohen's d = 0.50.
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63
The results from an independent-measures t hypothesis test are reported as "t(24)= 3.85,p < .01,two tailed."The research study for this test used a total of 26 subjects.
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64
A major company would like to assess the impact of using a professional trainer to conduct a confidence-building workshop with their salespeople.A sample of 16 workers is obtained.Half (n = 8)attend the workshop and the other half (n = 8)serves as a control group.For the first group of salespeople who attending the training,M = 22.7 and SS = 100.For the second group of salespeople who did not attend the training,M = 17.5 and SS = 124.Use the sample data to construct an 80% confidence interval for the mean difference in confidence between the control group and the workshop conditions.
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65
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.
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66
For an independent-measures study,the width of a confidence interval estimating µ1 - µ2 depends on the size of the difference between M1 and M2.
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67
An independent-measures research study uses a total of 18 participants to compare two treatment conditions.If the results are used to construct a 90% confidence interval for the population mean difference,then the t values will be ±1.746.
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68
A researcher conducts an independent-measures study examining how the brain chemical serotonin is related to aggression.One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin.A second sample of rats receives a drug that lowers brain levels of serotonin.Then the researcher tests the animals by recording the number of aggressive responses each of the rats display.The data are as follows.
a. Does the drug have a significant effect on aggression? Use an alpha level of .05, two tails.
b. Compute Cohen's d to measure the size of the treatment effect.

a. Does the drug have a significant effect on aggression? Use an alpha level of .05, two tails.
b. Compute Cohen's d to measure the size of the treatment effect.
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69
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.
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70
If other factors are held constant,the larger the difference between the two sample means is,the larger the value for the independent-measures t statistic will be.
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71
The 95% confidence interval for the difference between two treatment means extends from-2.50 to +5.50.Based on this information,you can conclude that there is no significant difference between the treatments at the .05 level of significance.
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72
The following data are from an independent-measures experiment comparing two treatmentconditions.
a. Does the data indicate a significant difference between the treatments at the .05 level of significance?
b. Compute r2 to measure the size of the treatment effect.
c. Write a sentence demonstrating how the outcome of the hypothesis test and the measure of effect size would appear in a research report.

a. Does the data indicate a significant difference between the treatments at the .05 level of significance?
b. Compute r2 to measure the size of the treatment effect.
c. Write a sentence demonstrating how the outcome of the hypothesis test and the measure of effect size would appear in a research report.
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73
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.
a.If the first sample variance is s2 = 38 and the second sample has 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.(Note: Because the two sample are the same size, the pooled variance is simply the average of the two sample variances.)
b.If the first sample variance is s2 = 84 and the second sample has s2 = 96, do the data indicate that testing frequency has a significant effect? Again, use a two-tailed test with α = .05.
c.Describe how the size of the variance affects the outcome of the hypothesis test.

a.If the first sample variance is s2 = 38 and the second sample has 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.(Note: Because the two sample are the same size, the pooled variance is simply the average of the two sample variances.)
b.If the first sample variance is s2 = 84 and the second sample has s2 = 96, do the data indicate that testing frequency has a significant effect? Again, use a two-tailed test with α = .05.
c.Describe how the size of the variance affects the outcome of the hypothesis test.
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74
Confidence intervals with the independent-measures t statistic are used to estimate how much difference there is between two population means
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75
Describe the data that are collected for an independent-measures t test and the hypotheses that the test evaluates.
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