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A method for testing a claim or hypothesis about a parameter in a population, using data measured in a sample, is called random sampling level of significance    hypothesis testing guessing

A method for testing a claim or hypothesis about a parameter in a population, using data measured in a sample, is called random sampling level of significance    hypothesis testing guessing

1. A method for testing a claim or hypothesis about a parameter in a population, using data measured in a sample, is called

random sampling

level of significance

hypothesis testing

guessing

2. The one-sample z test is a hypothesis test used to test hypotheses

concerning a single population with a known variance

concerning at least one population

concerning the variance in a population

all of the above

3. Given the following values: μ = 6.0, M = 7.6, n = 36, σ = 6, conduct a one-sample z test at a 0.05 level of significance. For a one-tailed test, upper-tail critical, what is the decision?

to reject the null hypothesis

to retain the null hypothesis

There is not enough information since the sample size is not given.

4. ________ allows researchers to describe (1) how far mean scores have shifted in the population, or (2) the percentage of variance that can be explained by a given variable.

significance

probability

power

effect size

5. The ________ is an inferential statistic used to determine the number of standard deviations in a t distribution that a sample means deviates from the mean value or mean difference stated in the null hypothesis.

distribution

statistic

standard error

degrees of freedom

6. State the critical value(s) for the following two-tailed t test at a 0.05 level of significance: t(∞).

±1.645

±1.96

the same as for a two-tailed z test at a 0.05 level of significance

both ±1.96 and the same as for a two-tailed z test at a 0.05 level of significance

7. A researcher reports that the mean time it takes to complete an experimental task is 1.4 ± 8.0 (M ± SD) seconds. If the null hypothesis was that the mean equals 1.0, then what is the effect size for this test using estimated Cohen’s d?

d = 0.05; small effect size

d = 0.50; medium effect size

d = 1.05; large effect size

There is not enough information to answer this question.

8. Computing a two-independent sample t test is appropriate when

different participants are assigned to each group

the population variance is unknown

participants are observed one time

all of the above

9. A researcher has participants rate the likability of a sexually promiscuous person described in a vignette as being male (n = 20) or female (n = 12). The mean likability ratings in each group were 4.0. If the null hypothesis is that there is no difference in likability ratings, then do likability ratings differ at a 0.05 level of significance?

Yes, this result is significant, p < 0.05.

No, this result is not significant, t(30) = 0.

No, this result is not significant, t(30) = 1.00.

There is not enough information to answer this question, because the variance in each sample is not given.

10. A type of related samples design in which participants are observed more than once is called a

repeated measures design

matched pairs design

matched samples design

both matched pairs design and matched samples design

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