Deck 9: Testing Means: One-Sample and Two-Independent Sample T Tests
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Deck 9: Testing Means: One-Sample and Two-Independent Sample T Tests
1
The t distribution is similar to the z distribution except
A)it is associated with greater variability
B)it is characterized by "thicker" tails compared with the z distribution
C)it is associated with scores being more likely in the tails of the distribution
D)all of the above
A)it is associated with greater variability
B)it is characterized by "thicker" tails compared with the z distribution
C)it is associated with scores being more likely in the tails of the distribution
D)all of the above
D
2
State the critical value(s)for a t test using a .05 level of significance in the lower tail only: t(24).
A)±1.711
B)ñ1.711
C)±2.064
D)ñ2.064
A)±1.711
B)ñ1.711
C)±2.064
D)ñ2.064
B
3
A researcher conducts two t tests.Test 1 is a two-tailed test with a smaller sample size at a .05 level of significance.Test 2 is a two-tailed test with a larger sample size at a .05 level of significance.What do you know about the degrees of freedom for each test?
A)Test 1 is associated with larger degrees of freedom.
B)Test 2 is associated with larger degrees of freedom.
C)Each test is associated with the same degrees of freedom.
D)It depends;there is not enough information to answer this question.
A)Test 1 is associated with larger degrees of freedom.
B)Test 2 is associated with larger degrees of freedom.
C)Each test is associated with the same degrees of freedom.
D)It depends;there is not enough information to answer this question.
B
4
The mean crying time of infants during naptime at a local preschool is 12 minutes.The school implements a new naptime routine in a sample of 25 infants and records an average crying time of 8±4.6 (M±SD)minutes.Test whether this new naptime routine reduced crying time at a .05 level of significance.
A)The new naptime routine significantly reduced crying time,t(24)= -4.35,p < .05.
B)The new naptime routine did not reduce crying time,t(24)= -4.35,p < .05.
C)The new naptime routine did not reduce crying time,t(24)= 0.92,p > .05.
D)The new naptime routine significantly reduce crying time,t(24)= 0.92,p < .05.
A)The new naptime routine significantly reduced crying time,t(24)= -4.35,p < .05.
B)The new naptime routine did not reduce crying time,t(24)= -4.35,p < .05.
C)The new naptime routine did not reduce crying time,t(24)= 0.92,p > .05.
D)The new naptime routine significantly reduce crying time,t(24)= 0.92,p < .05.
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5
A researcher selects a sample of 32 participants who are assigned to participate in a study with one group.What are the degrees of freedom for this test?
A)32
B)30
C)31
D)There is not enough information to answer this question.
A)32
B)30
C)31
D)There is not enough information to answer this question.
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6
A key difference between a t statistic and a z statistic is that the standard error is ________ to compute a t statistic.
A)removed
B)replaced
C)estimated
D)placed in the numerator
A)removed
B)replaced
C)estimated
D)placed in the numerator
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7
You read about a study testing whether night shift workers sleep the recommended 8 hours per day.Assuming that the population variance of sleep (per day)is unknown,what type of t test is appropriate for this study?
A)one-sample t test
B)two-independent sample t test
C)There is not enough information to answer this question.
A)one-sample t test
B)two-independent sample t test
C)There is not enough information to answer this question.
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8
The estimated standard error in the t statistic uses the ________ to estimate the ________ when the population variance is unknown.
A)sample variance;population variance
B)population variance;sample variance
C)standard error;sample variance
D)degrees of freedom;sample size
A)sample variance;population variance
B)population variance;sample variance
C)standard error;sample variance
D)degrees of freedom;sample size
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9
The average response time to a bank robbery is about 9 minutes.A local community wants to improve on this time,so they implement advanced training seminars.They find that the new response time for a sample of 36 police officers is 8±4.2 (M±SD)minutes.Test whether this advanced training seminar reduced response time at a .05 level of significance.
A)This advanced training seminar significantly reduced response time,t(35)= 11.43,p < .05.
B)This advanced training seminar significantly reduced response time,t(35)= -1.43,p < .05.
C)This advanced training seminar did not reduce response time,t(35)= -1.43,p > .05.
D)There is not enough information to answer this question.
A)This advanced training seminar significantly reduced response time,t(35)= 11.43,p < .05.
B)This advanced training seminar significantly reduced response time,t(35)= -1.43,p < .05.
C)This advanced training seminar did not reduce response time,t(35)= -1.43,p > .05.
D)There is not enough information to answer this question.
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10
A researcher selects a sample of 16 women and asks them to rate how important a sense of humor is in someone they want a long-term relationship with.She records scores averaging 1.6±0.8 (M±SD)on a rating scale from -3 (not important at all)to +3 (very important).Assuming that an average score of 0 is the null hypothesis,test whether or not women find this trait important at a .05 level of significance.
A)Women found this trait to be important,and this result was significant,t(16)= 8.00,p < .05.
B)Women found this trait to be important,and this result was significant,t(15)= 8.00,p < .05.
C)Women did not find this trait to be important,p > .05.
D)There is not enough information to answer this question.
A)Women found this trait to be important,and this result was significant,t(16)= 8.00,p < .05.
B)Women found this trait to be important,and this result was significant,t(15)= 8.00,p < .05.
C)Women did not find this trait to be important,p > .05.
D)There is not enough information to answer this question.
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11
As a requirement for the t test,researchers compute any type of t test with samples selected from populations in which
A)the population variance is known
B)the population size is very large
C)the population variance is unknown
D)the population is the same size as the sample
A)the population variance is known
B)the population size is very large
C)the population variance is unknown
D)the population is the same size as the sample
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12
A researcher conducts a study measuring differences in brain activity among rats placed on either a continuous or intermittent reward schedule.Assuming that the population variance in unknown,what type of t test is appropriate for this study?
A)one-sample t test
B)two-independent sample t test
C)not enough information
A)one-sample t test
B)two-independent sample t test
C)not enough information
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13
The ________ is an inferential statistic used to determine the number of standard deviations in a t distribution that a sample mean deviates from the mean value or mean difference stated in the null hypothesis.
A)t distribution
B)t statistic
C)standard error
D)degrees of freedom
A)t distribution
B)t statistic
C)standard error
D)degrees of freedom
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14
Computing a one-sample t test is appropriate when
A)participants are assigned to only one group
B)the population variance is unknown
C)participants are observed one time
D)all of the above
A)participants are assigned to only one group
B)the population variance is unknown
C)participants are observed one time
D)all of the above
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15
A researcher records the number of distracters (such as noises)that preschool-aged children ignore while watching a popular Sunday morning cartoon show.Assuming that the population variance is unknown,what type of t test is appropriate for this study?
A)one-sample t test
B)two-independent sample t test
C)There is not enough information to answer this question.
A)one-sample t test
B)two-independent sample t test
C)There is not enough information to answer this question.
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16
A professor compares final exam scores in his psychology class to final exam grades in another comparable professor's class.Assuming that the population variance of exam scores is unknown,what type of t test is appropriate for analyzing differences between these classes?
A)one-sample t test
B)two-independent sample t test
C)There is not enough information to answer this question.
A)one-sample t test
B)two-independent sample t test
C)There is not enough information to answer this question.
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17
Which of the following is an assumption for computing any type of independent sample t test?
A)Data in the population being sampled are normally distributed.
B)Data were obtained from a sample that was selected using a random sampling procedure.
C)The probabilities of each measured outcome in a study are independent.
D)all of the above
A)Data in the population being sampled are normally distributed.
B)Data were obtained from a sample that was selected using a random sampling procedure.
C)The probabilities of each measured outcome in a study are independent.
D)all of the above
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18
State the critical value(s)for a t test using a two-tailed test at a .05 level of significance: t(20).
A)±1.725
B)±2.093
C)±2.086
D)±0.687
A)±1.725
B)±2.093
C)±2.086
D)±0.687
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19
A researcher conducts two t tests.Test 1 is a one-tailed test with a smaller sample size at a .05 level of significance.Test 2 is a one-tailed test with a larger sample size at a .05 level of significance.What do you know about the critical values for each test?
A)Test 1 is associated with smaller critical values.
B)Test 2 is associated with smaller critical values.
C)Each test is associated with the same critical values.
D)It depends;there is not enough information to answer this question.
A)Test 1 is associated with smaller critical values.
B)Test 2 is associated with smaller critical values.
C)Each test is associated with the same critical values.
D)It depends;there is not enough information to answer this question.
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20
State the critical value(s)for the following two-tailed t test at a .05 level of significance: t( 
).
A)±1.645
B)±1.96
C)the same as for a two-tailed z test at a .05 level of significance
D)both B and C

).
A)±1.645
B)±1.96
C)the same as for a two-tailed z test at a .05 level of significance
D)both B and C
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21
A researcher reports a significant effect with t(14)= 3.24.Compute eta-squared for this result.
A)
= 0.43 (large effect size)
B)
= 0.43 (medium effect size)
C)
= 0.37 (large effect size)
D)
= 0.37 (medium effect size)
A)

= 0.43 (large effect size)
B)

= 0.43 (medium effect size)
C)

= 0.37 (large effect size)
D)

= 0.37 (medium effect size)
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22
A researcher records the crying time (in minutes)of infants given oral administration of sucrose (n = 12)or tap water (n = 16)prior to a heel prick.The mean crying time in the sucrose group was 3.3±2.4 (M±SD)minutes;in the tap water group,it was 7.3±1.6 (M±SD)minutes.If the null hypothesis is that there is no difference in crying time,then what is the decision for this test?
A)Crying time was significantly reduced among infants given the water solution prior to a heel prick.
B)Crying time was not reduced among infants given the sucrose solution prior to a heel prick.
C)Crying time was significantly reduced among infants given the sucrose solution prior to a heel prick.
D)Crying time was the same in both groups.
A)Crying time was significantly reduced among infants given the water solution prior to a heel prick.
B)Crying time was not reduced among infants given the sucrose solution prior to a heel prick.
C)Crying time was significantly reduced among infants given the sucrose solution prior to a heel prick.
D)Crying time was the same in both groups.
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23
A researcher reports that mean ratings of liking for some food are 0.8±2.4 (M±SD).If the null hypothesis was that the mean equals 0,then what is the effect size for this test using estimated Cohen's d?
A)d = 0.33;small effect size
B)d = 0.33;medium effect size
C)d = 3.00;large effect size
D)There is not enough information to answer this question.
A)d = 0.33;small effect size
B)d = 0.33;medium effect size
C)d = 3.00;large effect size
D)There is not enough information to answer this question.
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24
Two researchers (A and B)compute a two-independent sample t test.For both tests,the mean difference between the two groups is 10,but the standard error is smaller for Researcher A.Which test is more likely to result in a decision to reject the null hypothesis?
A)Researcher A.
B)Researcher B.
C)The likelihood is the same for both researchers.
D)There is not enough information to answer this question.
A)Researcher A.
B)Researcher B.
C)The likelihood is the same for both researchers.
D)There is not enough information to answer this question.
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25
A researcher reports that the mean time it takes to complete an experimental task is 1.4±8.0 (M±SD)seconds.If the null hypothesis was that the mean equals 1.0,then what is the effect size for this test using estimated Cohen's d?
A)d = 0.05;small effect size
B)d = 0.50;medium effect size
C)d = 1.05;large effect size
D)There is not enough information to answer this question.
A)d = 0.05;small effect size
B)d = 0.50;medium effect size
C)d = 1.05;large effect size
D)There is not enough information to answer this question.
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26
A researcher reports a significant effect in some population.If he computes both an eta-squared and an omega-squared effect size estimate,then which estimate will be the largest?
A)eta-squared
B)omega-squared
C)It depends on the sample size.
D)It depends on the value of the t statistic.
A)eta-squared
B)omega-squared
C)It depends on the sample size.
D)It depends on the value of the t statistic.
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27
Two researchers (A and B)compute a one-sample t test.For both tests,the standard error is the same,but the mean difference between the sample and value stated in the null hypothesis is smaller for Researcher A.Which test is more likely to result in a decision to reject the null hypothesis?
A)Researcher A.
B)Researcher B.
C)The likelihood is the same for both researchers.
D)There is not enough information to answer this question.
A)Researcher A.
B)Researcher B.
C)The likelihood is the same for both researchers.
D)There is not enough information to answer this question.
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28
A researcher has participants rate the likability of a sexually promiscuous person described in a vignette as being male (n = 20)or female (n = 12).The mean likability ratings in each group were 4.0.If the null hypothesis is that there is no difference in likability ratings,then do likability ratings differ at a .05 level of significance?
A)Yes,this result is significant,p < .05.
B)No,this result is not significant,t(30)= 0.
C)No,this result is not significant,t(30)= 1.00.
D)There is not enough information to answer this question,because the variance in each sample is not given.
A)Yes,this result is significant,p < .05.
B)No,this result is not significant,t(30)= 0.
C)No,this result is not significant,t(30)= 1.00.
D)There is not enough information to answer this question,because the variance in each sample is not given.
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29
Computing a two-independent sample t test is appropriate when
A)different participants are assigned to each group
B)the population variance is unknown
C)participants are observed one time
D)all of the above
A)different participants are assigned to each group
B)the population variance is unknown
C)participants are observed one time
D)all of the above
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30
To compute a two-independent sample t test,a researcher has to know many values.Which of the following is NOT a value that the researcher must know to compute this test?
A)the pooled sample variance
B)the pooled population variance
C)the sample size for both samples
D)the sample mean for both samples
A)the pooled sample variance
B)the pooled population variance
C)the sample size for both samples
D)the sample mean for both samples
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31
Two researchers (A andB)compute a one-sample t test.For both tests,the mean difference between the sample and value stated in the null hypothesis is 5,but the standard error is smaller for Researcher A.Which test is more likely to result in a decision to reject the null hypothesis?
A)Researcher A.
B)Researcher B.
C)The likelihood is the same for both researchers.
D)There is not enough information to answer this question.
A)Researcher A.
B)Researcher B.
C)The likelihood is the same for both researchers.
D)There is not enough information to answer this question.
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32
A researcher conducts a study and concludes that a new behavioral health treatment program significantly reduces one's risk for disease compared with risk levels in the general population (d = -0.64).Interpret the size of this effect.
A)64% of the variability in risk level can be accounted for by the new treatment.
B)64% of the new treatment can be accounted for by the risk levels.
C)Risk levels in the population shifted 0.64 standard deviations below the mean.
D)Risk levels in the population shifted 0.64 standard deviations above the mean.
A)64% of the variability in risk level can be accounted for by the new treatment.
B)64% of the new treatment can be accounted for by the risk levels.
C)Risk levels in the population shifted 0.64 standard deviations below the mean.
D)Risk levels in the population shifted 0.64 standard deviations above the mean.
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33
Which of the following is an assumption for the two-independent sample t test,but not the one-sample t test?
A)Normality
B)Random sampling
C)Independence
D)Equal variances
A)Normality
B)Random sampling
C)Independence
D)Equal variances
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34
To compute a one-sample t test,a researcher has to know many values.Which of the following is NOT a value that the researcher must know to compute this test?
A)The estimated standard error must be known.
B)The population variance must be known.
C)The sample size must be known.
D)The sample mean and sample variance must be known.
A)The estimated standard error must be known.
B)The population variance must be known.
C)The sample size must be known.
D)The sample mean and sample variance must be known.
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35
It is most appropriate to report effect size with a significant result.Why is it generally inappropriate to report effect size with insignificant results?
A)Because insignificant results will always have an effect size equal to 0.
B)Because insignificant results indicate that an effect size is also insignificant.
C)Because it makes little sense to report the size of an effect that you just concluded doesn't exist.
D)Because the probability of the size of an effect varies depending on the significance of the result.
A)Because insignificant results will always have an effect size equal to 0.
B)Because insignificant results indicate that an effect size is also insignificant.
C)Because it makes little sense to report the size of an effect that you just concluded doesn't exist.
D)Because the probability of the size of an effect varies depending on the significance of the result.
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36
A researcher records differences in ratings of emotion among participants watching either a drama or a romance film.Assuming that the population variance is unknown,what type of t test is appropriate for this study?
A)one-sample t test
B)two-independent sample t test
C)There is not enough information to answer this question.
A)one-sample t test
B)two-independent sample t test
C)There is not enough information to answer this question.
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37
A professor teaches a certain section of material using a lot of examples with sports and cars to illustrate.He is concerned that this may have biased his instruction to favor male students.To test this,he measures exam grades from this section of material among women (n = 10)and men (n = 10).The mean score in the male group was 84±4.0 (M±SD);in the female group,it was 78±8.0 (M±SD)points.If the null hypothesis is that there is no difference in exam scores,then test the null hypothesis at a .05 level of significance.
A)Exam scores were significantly higher in the male group,t(18)= 2.83,p < .05.
B)Exam scores were the same between groups,t(18)= 2.12,p > .05.
C)Exam scores were significantly higher in the male group,t(18)= 2.12,p < .05.
D)Exam scores were the same between groups,t(18)= 1.00,p > .05.
A)Exam scores were significantly higher in the male group,t(18)= 2.83,p < .05.
B)Exam scores were the same between groups,t(18)= 2.12,p > .05.
C)Exam scores were significantly higher in the male group,t(18)= 2.12,p < .05.
D)Exam scores were the same between groups,t(18)= 1.00,p > .05.
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38
A researcher measures mean health scores of children at a local school and compares these scores to the mean health score known in the general population.Assuming that the population variance is unknown,what type of t test is appropriate for this study?
A)one-sample t test
B)two-independent sample t test
C)There is not enough information to answer this question.
A)one-sample t test
B)two-independent sample t test
C)There is not enough information to answer this question.
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39
A local elementary school determined that the average number of volunteers for their "Step into Spring" annual fundraiser has been 14 persons on average (per event).After taking additional measures to recruit volunteers this year,they got 28 people to volunteer.Test whether these additional measures increased the number of volunteers at a .05 level of significance.
A)Yes,because the number of volunteers doubled;this is a significant increase.
B)No,this is not a significant increase because the error term is too large.
C)This would have been significant if it were a two-tailed test.
D)There is not enough information to answer this question.
A)Yes,because the number of volunteers doubled;this is a significant increase.
B)No,this is not a significant increase because the error term is too large.
C)This would have been significant if it were a two-tailed test.
D)There is not enough information to answer this question.
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40
A researcher finds that the mean difference in productivity between employees working the morning shift (n = 16)and the night shift (n = 10)is 5.0 units,and the estimated standard error for the difference is 2.7 units.If the null hypothesis states that there is no difference in productivity,then is this result significant at a .05 level of significance?
A)Yes,this result is significant.
B)No,this result is not significant.
C)There is not enough information to answer this question.
A)Yes,this result is significant.
B)No,this result is not significant.
C)There is not enough information to answer this question.
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41
Eta-squared is computed ______ for the one-sample,and the two-independent sample t tests.
A)Differently
B)Infinitely
C)Similarly
D)Semantically
A)Differently
B)Infinitely
C)Similarly
D)Semantically
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42
Two researchers (A and B)compute a two-independent sample t test.For both tests,the standard error is the same,but the mean difference between the groups is larger for Researcher A.Which test is more likely to result in a decision to reject the null hypothesis?
A)Researcher A.
B)Researcher B.
C)The likelihood is the same for both researchers.
D)There is not enough information to answer this question.
A)Researcher A.
B)Researcher B.
C)The likelihood is the same for both researchers.
D)There is not enough information to answer this question.
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43
Which measure of effect size is most commonly reported with a t test?
A)eta-squared
B)omega-squared
C)t statistic
D)Cohen's d
A)eta-squared
B)omega-squared
C)t statistic
D)Cohen's d
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44
A t test is associated with n - 1 degrees of freedom.
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45
A researcher reports a significant mean difference in a given population.If she computes both eta-squared and omega-squared to measure the effect size,then which estimate will be the most conservative?
A)eta-squared
B)omega-squared
C)It depends on the sample size.
D)It depends on the value of the t statistic.
A)eta-squared
B)omega-squared
C)It depends on the sample size.
D)It depends on the value of the t statistic.
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46
A researcher must know the population variance in order to compute a t test.
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47
A t test is associated with N degrees of freedom.
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48
A t statistic estimates the standard error by using the sample variance to approximate the population variance.
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49
As the degrees of freedom for a t test increase,the critical values for that test also increase.
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50
A researcher reports that the mean difference in response time to an auditory versus a visual cue is 0.83 seconds,with a pooled sample variance equal to 2.45.What is the effect size for this test using estimated Cohen's d?
A)d = 0.53;medium effect size
B)d = 0.53;large effect size
C)d = 0.34;small effect size
D)d = 0.34;medium effect size
A)d = 0.53;medium effect size
B)d = 0.53;large effect size
C)d = 0.34;small effect size
D)d = 0.34;medium effect size
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51
Normality is the assumption that data in the population are normally distributed.
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52
A t distribution with infinite degrees of freedom is a z distribution.
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53
Normality,random sampling,and independence are all assumptions for the one-sample t test.
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54
Which of the following summarizes a t test that was significant and associated with a large effect size?
A)t(22)= 3.02,p < .05,d = .36
B)t(30)= 1.03,p > .05,d = .20
C)t(60)= 1.76,p > .05,d = .45
D)t(12)= 2.95,p < .05,d = .82
A)t(22)= 3.02,p < .05,d = .36
B)t(30)= 1.03,p > .05,d = .20
C)t(60)= 1.76,p > .05,d = .45
D)t(12)= 2.95,p < .05,d = .82
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55
A researcher reports that the mean difference in the body weight of rats following a pharmacological versus control treatment is 14 grams,with a pooled sample variance equal to 256.What is the effect size for this test using estimated Cohen's d?
A)d = 0.06;small effect size
B)d = 0.08;small effect size
C)d = 0.88;large effect size
D)There is not enough information to answer this question.
A)d = 0.06;small effect size
B)d = 0.08;small effect size
C)d = 0.88;large effect size
D)There is not enough information to answer this question.
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56
A researcher reports the following result for a two-tailed test at a .05 level of significance,t(24)= 2.010,and correctly decides to reject the null hypothesis.
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57
A researcher reports that the effectiveness of a new marketing campaign significantly increased sales compared with the previous campaign strategy,t(49)= 2.562,p < .05.Use eta-squared to interpret the effect size for this result.
A)12% of the variability in marketing effectiveness can be accounted for by the new marketing strategy.
B)12% of the standard error can be accounted for by the effectiveness of the marketing strategy.
C)Marketing effectiveness shifted 0.12 standard deviations above the mean in the population.
D)both A and B are correct
A)12% of the variability in marketing effectiveness can be accounted for by the new marketing strategy.
B)12% of the standard error can be accounted for by the effectiveness of the marketing strategy.
C)Marketing effectiveness shifted 0.12 standard deviations above the mean in the population.
D)both A and B are correct
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58
When testing a hypothesis with one or two groups selected from a population with an unknown variance,a t test is appropriate.
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59
Is a one-sample t test reported differently for one-tailed and two-tailed tests?
A)No,the same values are reported.
B)It depends on whether the results were significant.
C)Yes,only significant results for a two-tailed test are reported.
D)It can be reported differently when the effect size is large.
A)No,the same values are reported.
B)It depends on whether the results were significant.
C)Yes,only significant results for a two-tailed test are reported.
D)It can be reported differently when the effect size is large.
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60
A researcher reports that stress levels among nurses are higher compared to stress levels in the general population,t(20)= 2.086,p = .05 (d = .12).Was this a one-tailed or a two-tailed test?
A)One-tailed test because the p value is equal to .05
B)Two-tailed test because the p value is equal to .05
C)It could be a one- or a two-tailed test
A)One-tailed test because the p value is equal to .05
B)Two-tailed test because the p value is equal to .05
C)It could be a one- or a two-tailed test
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61
A researcher reports the following result for a two-tailed test at a .05 level of significance,t(30)= 2.320,and correctly decides to retain the null hypothesis.
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62
When scores are measured in a single group,the sample standard deviation is used as an estimate of the population standard deviation in the effect size formula for estimated Cohen's d.
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63
If d = 0.28,then we conclude that mean scores in some population have shifted 0.28 standard deviations below the mean.
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64
A one-sample t test will be undefined (denominator = 0)when the same score is recorded for all participants in a study.
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65
The p value is reported with the test statistic of a one-sample and a two-independent sample t test using APA format.
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66
Measures of proportion of variance are computed the same for all t tests.
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67
A two-independent sample t test is computed when mean differences are compared between two or more groups sampled from a population with an unknown variance.
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68
An estimated Cohen's d is interpreted in terms of the number of standard deviations that an effect shifted in some population.
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69
A researcher reports that the mean difference between two groups is 20.12 and the estimated standard error for the difference is 2.83.Hence,the conclusion must be to reject the null hypothesis for a two-tailed test at a .05 level of significance.
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70
Eta-squared is a more conservative estimate than omega-squared.
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71
When the difference between two groups is compared,the pooled standard deviation is used as an estimate for the population standard deviation in the effect size formula for estimated Cohen's d.
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72
The critical values are reported with the test statistic of a one-sample and a two-independent sample t test using APA format.
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73
A researcher reports the following result for a lower-tail critical test at a .05 level of significance,t(40)= 3.212,and accurately concludes that this result is significant.
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74
A two-independent sample t test is used when the same participants are observed in each of two groups.
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75
When the proportion of variance explained by some treatment is larger than 0.25,we conclude that there is a large effect in the population.
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76
A researcher computes a two-independent sample t test and finds that the result is undefined (the denominator is equal to 0).This happens when there is no difference between the two groups .
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77
Cohen's d is a measure of proportion of variance.
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78
Effect size measures are an estimate of the size of an effect in a population.
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79
A one-sample t test will be t = 0 when the standard error was equal to 0.
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80
A one-sample t test will be t = 0 when the mean difference is equal to 0.
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