McBride ch. 9

When a research says their experiment is "between subjects" it means the same as

"Rejecting a null hypothesis" is the same as

A one-sample t test and an independent-samples t test are similar, and I see the difference.

I understand at least 90% of the concepts tested ; if not, raise your hand so we can discuss

Of the following, which can find a relationship between nominal or ordinal data?

When looking at SPSS correlation output, I will know where to find p value.

In research, a sample with high variability is

The hypothesis that an effect or relationship does not exist in the population is:

True or False: In SPSS, the "Correlate" procedure is found under the Analyze menu.

A probability level that serves as a cutoff for a "significant result" is called

When a researcher says their experiment is "within subjects" it means that

In SPSS, if I see "Sig.," I now know it's the same as p value.

One-tailed describes

Of the tests in the choices, which one allows you to compare three means with one another?

If _______ is less than or equal to the alpha level, the "null hypothesis is rejected," indicating significance.

I understand the difference between alpha level and p value.

In statistics, the most common measure of relationship, which analyzes at least one interval or ratio variable, is the

Ordinal data means

How many independent or subject variables are measured by a one-way ANOVA?

In SPSS, a One-Samples T Test, an Independent-Samples T Test, a Paired Samples T Test, and Correlate all are found under

Nominal data means

I understand what leads you to use a one-sample t test

"Descriptive values (e.g., means), value of test statistic, and p value associated with statistical value" - examples of

I understand the difference between one-tailed and two-tailed.

This statistical procedure, similar to a correlation, uses multiple variables to predict a dependent variable:

Though SPSS reports "p-values," they don't call them p value. They use the term:

A table like in the image above is associated with which statistical test:

t tests: When you have a sample and wish to compare its mean to a population value, you want

t tests: When you have two samples' means and wish to see if they differ, you want a (an)

From the SPSS output shown in the image above, it can be concluded

From the SPSS output shown in the image, it can be concluded

t tests: If you want to compare two related samples or two sets of scores from a single person, you want

I understand the difference between "between subjects" and "within subjects"