Test Identification
ANOVA Basics
Factorial ANOVA
Para & NonPara
Challenge Questions
100

Researchers compare the exam scores of students who use flashcards versus students who use practice tests.

Independent Samples T-Test

100

The p-value must be _____ in order to reject the null hypothesis.

Less than or Equal to 0.05 (alpha)

100

A factorial ANOVA contains _____ independent variables and ____ IV levels

2+ IVs, and 2+ IV Levels
100

Name one assumption required for parametric tests.

Any of:

Normal distribution, Equal variances, Random sampling, Independence, Quantitative data

100

What does Standard Deviation mean/measure 

The variability of a sample/population

200

Researchers compare memory scores before, immediately after, and one week after a study intervention using the same participants.

Repeated-measures ANOVA

200

When an ANOVA is found to be significant, we can confirm that there is a difference between the groups tested. However, we cannot tell WHERE the groups differ with an ANOVA alone. What test would a researcher run to find which groups differ from each other?

Tukey HSD

200

What do we call the effect of one of the IVs on the DV when collapsed across the other IV. 

Main Effects

200

A researcher records favorite ice cream flavor. Would this variable be considered quantitative or qualitative?

Qualitative

200

What test should researchers run if they want to be able to predict the relationship between two variables.

Regression

300

Researchers compare GPA among freshmen, sophomores, juniors, and seniors.

one-way ANOVA

300

A one-way ANOVA contains at least ___ independent variable(s) and ____ IV Level(s)

One IV and 3+ IV Levels

300

An ____ effect is when the effect of one IV on a DV depends on the level of another IV.

Interaction

300

When a researcher compares observed frequencies to an expected distribution, they should run a____

Chi-Square Goodness-of-Fit

300

When the population variability is known in a research question, we should run this type of test

t-test

400

You examine the relationship between height and weight

correlation

400

A researcher conducts three independent t-tests instead of one ANOVA.

What problem does this create?

Inflates Type I error rate:

Conducting multiple t-tests instead of a single ANOVA increases the risk of a Type I error because the overall alpha level increases, leading to a false positive (reject the null even though it should have been retained)


400
When you are looking for a main effect in a factorial table, you examine the___

Marginal Means

400

Name one similarity and one difference between Chi-Square and Correlation

Both look for relatedness/association, chi is only used when data is categorical while correlation is used when data is continuous/quantitative

400

A coffee shop claims that the average customer wait time is 6 minutes. A manager believes the wait time has increased. A random sample of 49 customers shows an average wait time of 6.8 minutes. The population standard deviation is known to be 2.1 minutes. To test the managers claim, what test do we run? WHY?

One Sample Z-test because we are given the population variability (standard deviation) 

500

Researchers examine whether relationship status (single, dating, married) is associated with favorite streaming service.

Chi-Square Test of Independence

500

Is there an effect of watching subtitled anime on Japanese vocabulary? Compare groups of people who watch an average of 5, 10, and 20 hours of subtitled anime per week.

Identify the test, the null hypothesis, and the alternative hypothesis.

One Way ANOVA, 

H0: μ1 = μ2 = μ3 groups watching anime 5, 10, or 20 hours per week have similar Japanese vocabulary

H1: μ1 ≠ μ2 ≠ μ3 groups watching anime 5, 10, or 20 hours per week have different Japanese vocabulary

500

In order to find an interaction effect, we look at the _______ in ______ between the levels of your IVs. 

Difference in Differences

500

Of all the tests we have learned this year, what is the only type of test that is nonparametric.

Chi Square

500

Name all the statistical tests we covered this quarter.

z-test, One-sample t, independent t, paired t, correlation, one-way ANOVA, repeated-measures ANOVA, factorial ANOVA, chi-square goodness-of-fit, chi-square independence

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