Question description

How is the z-test different

from z-score analysis? (Points : 1)

The z-test compares a sample to a population.

The z-test calculates a value of z which can be compared to Table A.

The z-test provides a way to evaluate how individuals compare to a

population.

The z-test is based on how individual scores compare to a sample mean.

A one-sample t value is

statistically significant in which situation? (Points : 1)

The calculated t is equal to or larger than the table value.

The calculated t is equal to or smaller than the table value.

The calculated t is equal to or smaller than .05.

The calculated t is equal to or larger than .05.

What advantage does the one-sample

t offer over the z-test? (Points : 1)

The one sample t requires no parameter standard error of the mean.

The one sample t requires no parameter mean.

The one sample t requires no sample mean.

The one sample t doesn’t require interval scale data.

Consulting Table 3.1, what

percentage of the distribution occurs below z = 1.0? (Points : 1)

15.87%

34.13%

50%

84.13%

The Cohen’s d has an upper

limit of 1.0. (Points : 1)

True

False

What does Cohen’s d measure

in the independent t-test? (Points : 1)

Whether a result is a random outcome

The effect size of the result

The direction of the difference

The impact of the dependent variable

The z-test asks whether the

population from which the sample was drawn has the same mean as the

population to which it is compared. (Points : 1)

True

False

Which of the following expressions

is an indication of sampling error? (Points : 1)

M =

m

x – M

s

M ≠ mM

A type I decision error occurs in

which of the following circumstances? (Points : 1)

The decision not to proceed with an analysis

The decision to proceed when the analysis is flawed

Erroneously determining that a result is not significant

Erroneously determining that a result is significant

In a distribution for which the

mean is 25 and the standard deviation is 5, what percentage of all scores

occur at 30 or above? (Points : 1)

15.87%

20%

34.13%

84.13%