20 terms

As a researcher you collect data on the marital status of your subjects. The appropriate measure of central tendency to use for this variable is:

Mean

Median

Mode

Standard Deviation

Mean

Median

Mode

Standard Deviation

Mode

The appropriate measure of dispersion for last question is

Range

Variance

Standard Deviation

None of the above

Range

Variance

Standard Deviation

None of the above

None of the above

On what basis does the t-test compare groups?

Frequency distributions

Mean score

Alpha level

Confidence intervals

Frequency distributions

Mean score

Alpha level

Confidence intervals

Mean score

Which of the following correlation (person r) coefficients would give you the most precise prediction?

r=.80

r=.60

r=.45

r=-.85

r=.80

r=.60

r=.45

r=-.85

r=-85

The use of inferential statistics permits the researchers to:

A: generalize to a population based on info gathered from a sample

B: describe info obtained from empirical observation

C: interpret descriptive statistics

D: reject the null hypothesis

A: generalize to a population based on info gathered from a sample

B: describe info obtained from empirical observation

C: interpret descriptive statistics

D: reject the null hypothesis

Generalize to a population based on info gathered from a sample

The major factor that affects the standard error of the mean (SEM) is the

A: value of the score range

B: shape of the sampling distribution

C: sample size

D: value of the mean

A: value of the score range

B: shape of the sampling distribution

C: sample size

D: value of the mean

Sample size

For which of the following levels of significance is the risk of making a type II error greatest?

.10

.05

.01

.001

.10

.05

.01

.001

.001

Assuming the normal distribution, about what proportion of a sample lies between the mean & 2 SDs above the mean?

34%

47%

68%

95%

none of the above

34%

47%

68%

95%

none of the above

47%

A statistical procedure that is used to determine whether a significant difference exists between any number of the group means the

t-test

ANOVA

Correlation coefficient

Mann-Whitney U-test

t-test

ANOVA

Correlation coefficient

Mann-Whitney U-test

ANOVA

If a researcher wanted to determine whether observed proportions differed significantly from expected proportions, the statistic would be a(n):

t-test

Correlation coefficient

ANOVA

Chi-square

t-test

Correlation coefficient

ANOVA

Chi-square

Chi-square

The independent variable is weight gain during pregnancy. The dependent variable is the infant's birth weight. The appropriate test statistic is a(n):

A. t-test

B. ANOVA

C. chi-square

D. pearson's r

A. t-test

B. ANOVA

C. chi-square

D. pearson's r

Pearson's r

The independent variable is race/ethnicity (white/nonwhite). The dependent variable is pulse rate. The appropriate statistical test is a:

A. t-test

B. Mann-Whitney U-test

C. chi-square

D. pearson-r

A. t-test

B. Mann-Whitney U-test

C. chi-square

D. pearson-r

t-test

The independent variable is marital status (single/married/separated or divorced). The dependent variable is whether or not the person had been hospitalized in the preceding 12 months. The appropriate statistical test is a(n):

A. t-test

B. ANOVA

C. chi-square

D. Pearson's r

A. t-test

B. ANOVA

C. chi-square

D. Pearson's r

Chi-square

The independent variable is treatment group (visual stimulation/auditory stimulation/ no special stimulation). The dependent variable is infants' length of stay in the hospital after birth. The appropriate statistical test is a(n):

A. t-test

B. ANOVA

C. chi-square test

D. Pearson's r

A. t-test

B. ANOVA

C. chi-square test

D. Pearson's r

ANOVA

True-False

As sample size decreases, so does the standard error of the mean.

As sample size decreases, so does the standard error of the mean.

FALSE

True False

A researcher never knows whether an error has been committed in statistical decision making.

A researcher never knows whether an error has been committed in statistical decision making.

TRUE

True False

A statistically significant finding means that the obtained results are not likely to have been due to chance.

A statistically significant finding means that the obtained results are not likely to have been due to chance.

True

True False

It would be appropriate for a researcher to test the difference between the means of 3 groups of students by a t-test for independent samples.

It would be appropriate for a researcher to test the difference between the means of 3 groups of students by a t-test for independent samples.

False

True False

Establishing a significance level of .01 is more conservative than establishing one of .05

Establishing a significance level of .01 is more conservative than establishing one of .05

True

True False

Nonparametric tests have fewer assumptions than parametric tests.

Nonparametric tests have fewer assumptions than parametric tests.

True