Which test?
Binomial
Chi Squared
Chi Squared Contingency
Prior Exams
100

Comparing the mean score on the GREs of individuals before and after they took a prep class

Paired t-test

100

Goal of this test?

Relative frequency of successes in the population matches null expectation 



100

Difference between binomial and Chi squared?

Binomial = only two outcomes

Chi squared = two or more outcomes

100

How many and what variable is observed?

Two categorical variables

100

Difference between paired t-test and independent samples t-test

Paired = both treatments applied to every sample unit

Independent = each group receives only one treatment 

200

Is the proportion of individuals who chose chocolate, vanilla, or strawberry ice cream equal?

X2 test

200

Assumptions of the test?

Data are dichotomous (two parts) and individuals are independent

200

Assumptions of this test?

Random sample and expected frequencies are not too small

200

Assumptions of this test?

Random sample and expected frequencies are not too small (same as X2)

200

What test do we use the F value? What does it mean to be closer or farther from 1?

ANOVA

Closer = means are not different

Farther = means are different 

300

Is there an association between handedness (left or right) and what state they are from (Pennsylvania, New Jersey, or New York)

X2 contingency test

300

How many and what variable is observed?

A single categorical variable

300

What does the X2 value measure?

Difference between observed and expected frequency

300

Goal of this test?

To see if the two variables are associated or independent

300

What is pseudoreplication? Give an example.

Non independent values analyzed as independent 

Elephant tusks

400

Is the proportion of individuals who kick a soccer ball with their right foot equal to those with their left foot?

Binomial

400

If there is an equal probability, what is our test proportion?

0.5 (50%)

400

What does a large X2 value mean? Close to zero?

Large =observed and expected are different

Small/close to zero = observed and expected are not different

400

If a p-value is less than 0.05 and X2 is large, what does this mean?

The two variables are associated/not independent 

400

What does the t-value mean?

How different the two means are from one another

Large t = bigger difference 

Small t = less difference

500

Comparing the mean tree height of three different National Parks 

ANOVA

500

Is there a test statistic? What two things should we include in our results statement?

No, sample size and p value

500

If you have two categories and a small sample size what should you do?

Use the binomial test, as there are fewer assumptions about low frequencies.

500

What is the preferred graph type for this test?

Stacked bar graph

500

Ways to reduce bias? Ways to reduce sampling error?

Bias = Control group, randomization, and blinding

Sampling error = Replication, balancing, and blocking

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