Type item number for each answer, and a “True” OR “False” answer only will be accepted and counted. Do not include

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email along with the Learning Check answers. Please do NOT put your answers in a list or column; just type as indicated

in the example here: Examples: 1. True, 2. False, and so on to include 20 item numbers with True OR False answers.

Exam 3

Ch. 9

1. A population variance is used to calculate the ? statistic for a hypothesis test.

2. Holding everything else constant, increasing the sample size decreases standard error.

3. With ? = .01 the two-tailed critical region for a sample of ? = 20 subjects would have boundaries of ? = ±2.861.

4. To calculate a ? statistic, the value for ? or ?2 is needed.

5. A sample of n=15 scores would produce a t statistic of df=16.

Ch. 10

6. An independent-measures design could be used to evaluate the difference in verbal skills between 3-year old girls and

3-year old boys.

7. The null hypothesis for the independent-measures ? test states that there is no difference between the two population


8. The homogeneity of variance assumption requires that the two samples have equal variances.

9. One sample has ? = 6 and ?? = 20, and a second sample has ? = 6 and ?? = 30. The pooled variance for the two

samples is 50/10.

10. An independent-measures study uses a separate sample to represent each of the treatment conditions or populations

being compared.

Ch. 11

11. For the scores 3, -8, 6, -4, -2, the value of MD = -1.

12. A researcher obtains a ? statistic of ? = 2.00 from a repeated measures study using ? = 17 participants. If effect size

is measured using ?2, then ?2 = 4/20 = 0.20.

13. The repeated-measures design is suited to situations in which a particular type of subject is not readily available for


14. The repeated-measures design is helpful because it uses fewer subjects for two samples.

Ch. 12

15. In general, the goal of estimation is to determine how much effect a treatment has.

16. The mean for the general population of differences scores can be estimated using the repeated-measures ? statistic.

17. Compared to a point estimate, an interval estimate has less confidence but greater precision.

18. For a single sample of ? = 23, the values of ? used to construct a 90% confidence interval would be ? = ±1.717.

19. In general, as confidence increases, the precision of an interval estimate decreases.

20. For a point estimate, a value of ? = 0 is used in the estimation equation.

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