Reference no: EM132285307

Assignment Questions -

Q1. A descriptive research study would be likely to report all but which of the following types of scores or statistics?

Standard deviation

Mean

Percentiles

Analysis of variance

Q2. The purpose of the t test for multiple comparisons is to

adjust for statistically significant differences that occur by chance because the comparison groups are compared on many variables.

provide an alternative approach to multiple comparisons when the assumptions underlying analysis of variance are not satisfied.

enable the use of analysis of variance when the number of comparison groups exceeds five.

all of the above.

Q3. Which statistical test is considered a parametric test?

Chi-square

Mann-Whitney

Wilcoxon signed rank

MANOVA

Q4. The F ratio is computed to determine

whether the members of a sample have been randomly selected from a population.

the statistical significance of the difference between the mean scores of two or more groups.

whether two or more groups have different frequency distributions on a categorical variable.

all of the above.

Q5. A nonparametric test of significance should be considered whenever

the population scores of the comparison groups are normally distributed.

group variances are equal or nearly so.

scores are in the form of ranks.

scores are derived from a measure with equal intervals.

Q6. The best way to select two groups for comparison in a causal-comparative research study so that they are highly different on the presumed causal variable is

through the use of matching.

by random selection of the groups from the defined population.

by determining the range of scores of the defined population on a measure of the variable and then selecting individuals whose scores are at the extreme of the range.

by using theory to determine the hypothetically extreme ranges of the presumed causal variable and then recruit volunteers who satisfy the requirements of the these ranges.

Q7. Compared to parametric statistics, nonparametric statistics

have less statistical power.

have more statistical power.

involve many more assumptions about score distribution in the population being studied.

cannot be used to determine whether a null hypothesis can be rejected.