Categorical and Quantitative Data
Sampling and Surveys
Confidence Intervals
Chi-square Tests
100

What is an explanatory response?

The variable manipulated by the researcher

100

Name one type of sampling methods

Simple random sample (SRS), stratified random sample, or cluster random sample

100

What is alpha assumed to be if not stated?

0.05 (95% confidence)

100

Name the three chi-square tests

Goodness of fit, homogeneity, and independence

200

What is a response variable?

The result of the explanatory variable being manipulated

200

Name two types of source bias

Undercoverage, non response, or response bias 

200

What are the two other common alpha levels?

0.10 and 0.01

200

Which test(s) would be appropriate for 1 sample/treatment?

Goodness of fit or independence

300

In a left skew distribution, what side is the tail on?

The left side

300

What is the difference between experiments and observational studies?

Experiments require treatments

300

What is the general formula?

pt est +/- moe

300

Which test(s) would be appropriate for 2 or more samples/treatments?

Homogeneity

400

In a right skew distribution, what side is the tail on?

The right side

400

What are confounding variables?

A type of extraneous factor that produces spurious associations between variables

400

What is the 10% condition?

n < 1/10 (N)

400

Which test(s) would be appropriate for 1 variable?

Goodness of fit or homogeneity

500

What does the IQR rule identify?

Outliers

500

What is the difference between single blind and double blind?

Single blind: participants are unaware of which group they are in 

Double blind: neither participant or researcher are aware of which group they are in

500

What is the large counts condition?

np >/= 10 

n(1 - p) >/= 10 

500

Which test(s) would be appropriate for 2 variables?

Independence

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