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1. One sample of n...

1. One sample of n = 5 scores has a SS = 36. A second sample of n = 7 scores has SS = 64. What is the value of the pooled estimate for these two samples?

answers

100/12

100/10

36/5 + 64/7

36/4 + 64/6

2. What is estimated standard error for the independent-measures t statistic for the following two samples?

Sample 1: n = 4 with SS = 100

Sample 2: n = 8 with SS = 140

question 2 answers

3

9

24

242

3. Which set of sample characteristics is most likely to produce a significant difference for an independent-measures t test?

Question 3 answers

A large sample mean difference and large sample variances

A large sample mean difference and small sample variances

A small sample mean difference and large sample variances

A small sample mean difference and small sample variances

4. A researcher was interested in comparing the amount of time spent watching television by women and men. Independent simple random samples of 14 women and 17 men were selected, and each person was asked how many hours he or she watched television during the previous week. The summary statistics are as follows.

Women

Men

M1 = 12.9 hrs

M2 = 14.0 hrs

s1 = 3.9 hrs

S2 = 5.2 hrs

n1 = 14

n2 = 17

The following 99% confidence interval was obtained for µ1 - µ2, the difference between the mean amount of time spent watching television for women and the mean amount of time spent watching television for men: -5.61 hrs < µ1 - µ2 1.717.

Reject the null hypothesis if the test statistic > 1.717 or 2.074 or 2.069 or < -2069.

10. For which of the following situations would a dependent-measures design have a substantial advantage over an independent-measures design.

Question 10 answers

Few subjects are available and individual differences are large

Few subjects are available and individual differences are small

Many subjects are available and individual differences are large

Many subjects are available and individual differences are small

answers

100/12

100/10

36/5 + 64/7

36/4 + 64/6

2. What is estimated standard error for the independent-measures t statistic for the following two samples?

Sample 1: n = 4 with SS = 100

Sample 2: n = 8 with SS = 140

question 2 answers

3

9

24

242

3. Which set of sample characteristics is most likely to produce a significant difference for an independent-measures t test?

Question 3 answers

A large sample mean difference and large sample variances

A large sample mean difference and small sample variances

A small sample mean difference and large sample variances

A small sample mean difference and small sample variances

4. A researcher was interested in comparing the amount of time spent watching television by women and men. Independent simple random samples of 14 women and 17 men were selected, and each person was asked how many hours he or she watched television during the previous week. The summary statistics are as follows.

Women

Men

M1 = 12.9 hrs

M2 = 14.0 hrs

s1 = 3.9 hrs

S2 = 5.2 hrs

n1 = 14

n2 = 17

The following 99% confidence interval was obtained for µ1 - µ2, the difference between the mean amount of time spent watching television for women and the mean amount of time spent watching television for men: -5.61 hrs < µ1 - µ2 1.717.

Reject the null hypothesis if the test statistic > 1.717 or 2.074 or 2.069 or < -2069.

10. For which of the following situations would a dependent-measures design have a substantial advantage over an independent-measures design.

Question 10 answers

Few subjects are available and individual differences are large

Few subjects are available and individual differences are small

Many subjects are available and individual differences are large

Many subjects are available and individual differences are small

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