If a treatment effect exists, Question options: variability between groups will

Question

If a treatment effect exists,

Question options:

variability between groups will tend to exceed variability within groups.

variability within groups will tend to exceed variability between groups.

variability between groups and within groups will tend to be about the same.

total variability will tend to exceed variability between groups and within groups.

Question 5

0 / 1 point

Variability between groups is based on the variation among the scores of

Question options:

equal numbers of subjects.     

randomly selected subjects.

subjects treated differently.

subjects treated similarly.

Question 6

0 / 1 point

Regardless of whether the null hypothesis is true or false, variability within groups reflects

Question options:

only the treatment effect.

only random error.

random error and possibly the treatment effect.

both random error and the treatment effect.

Question 10

0 / 1 point

If the sum of squares for between groups equals 50 and that for within groups equals 70, the sum of squares for total variability must

Question options:

lie between 50 and 70.

equal 60.

equal 20.

equal 120.

Question 13

0 / 1 point

Rejection of the overall null hypothesis usually raises some additional questions regarding

Question options:

the estimated size of the overall effect.

which differences between population means cause rejection of the overall null hypothesis

both a and b

neither a nor b

Question 14

0 / 1 point

The squared curvilinear correlation indicates the proportion of variance in

Question options:

independent variable caused by the dependent variable.

independent variable attributable to the dependent variable.

dependent variable caused by the independent variable.

dependent variable attributable to the independent variable

Question 15

0 / 1 point

Rejection of the overall null hypothesis indicates that

Question options:

at least one population mean differs from all others.

at least several population means differ from each other.

most population means are different.

all population means are different.

Question 16

0 / 1 point

When all possible differences between pairs of population means are evaluated not with an F test, but with a series of regular t tests, the probability of at least one

Question options:

type I error is larger than the specified level of significance.

type I error is smaller than the specified level of significance.

type II error is smaller than the specified level of significance.

type II error is larger than the specified level of significance.

Question 19

0 / 1 point

If a published report of an F test specified that p <.01, you could conclude that the test result is

Question options:

rare, supporting the null hypothesis.

rare, supporting the research hypothesis.

common, supporting the null hypothesis.

common, supporting the research hypothesis.

variability between groups will tend to exceed variability within groups.

variability within groups will tend to exceed variability between groups.

variability between groups and within groups will tend to be about the same.

total variability will tend to exceed variability between groups and within groups.

Question 5

0 / 1 point

Variability between groups is based on the variation among the scores of

Question options:

equal numbers of subjects.     

randomly selected subjects.

subjects treated differently.

subjects treated similarly.

Question 6

0 / 1 point

Regardless of whether the null hypothesis is true or false, variability within groups reflects

Question options:

only the treatment effect.

only random error.

random error and possibly the treatment effect.

both random error and the treatment effect.

Question 10

0 / 1 point

If the sum of squares for between groups equals 50 and that for within groups equals 70, the sum of squares for total variability must

Question options:

lie between 50 and 70.

equal 60.

equal 20.

equal 120.

Question 13

0 / 1 point

Rejection of the overall null hypothesis usually raises some additional questions regarding

Question options:

the estimated size of the overall effect.

which differences between population means cause rejection of the overall null hypothesis

both a and b

neither a nor b

Question 14

0 / 1 point

The squared curvilinear correlation indicates the proportion of variance in

Question options:

independent variable caused by the dependent variable.

independent variable attributable to the dependent variable.

dependent variable caused by the independent variable.

dependent variable attributable to the independent variable

Question 15

0 / 1 point

Rejection of the overall null hypothesis indicates that

Question options:

at least one population mean differs from all others.

at least several population means differ from each other.

most population means are different.

all population means are different.

Question 16

0 / 1 point

When all possible differences between pairs of population means are evaluated not with an F test, but with a series of regular t tests, the probability of at least one

Question options:

type I error is larger than the specified level of significance.

type I error is smaller than the specified level of significance.

type II error is smaller than the specified level of significance.

type II error is larger than the specified level of significance.

Question 19

0 / 1 point

If a published report of an F test specified that p <.01, you could conclude that the test result is

Question options:

rare, supporting the null hypothesis.

rare, supporting the research hypothesis.

common, supporting the null hypothesis.

common, supporting the research hypothesis.

Explanation / Answer

15) the rejection of the null hypothesis indicates that at least one population mean differs from all others because the hypothesis is always given about the sample of the population and if the single element is away from the hypothesis, we reject it.

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