Basic Stats
Correlation
vs
Causation
Probability
Sampling and Surveys
Regression and Prediction
100

The Average (the sum of the numbers divided by the number of values in that dataset)

What is the mean?

100

This famous phrase means two things can move together without one causing the other.

What is correlation is not causation?

100

When you flip a coin, these are the only two possible outcomes.

What are heads and tails?

100

A survey that only includes people who want to respond suffers from this bias.

What is voluntary response bias?

100

This line represents the “best fit” through a scatterplot.

What is the regression line?

200

This type of average will not have an impact by a few extreme or unique values (such as a few people in a group having however much money they have, and the group could probably cover their losses with the money).

What is the median?

200

Ice cream sales and drowning rates both increase in summer. This is an example of this type of correlation.

What is a spurious correlation?

200

A fair coin has this probability of landing heads.

What is 0.5 or 50%?

200

This type of sample gives every person in the population an equal chance of being selected.

What is a random sample?

200

This variable is the one you’re trying to predict.

What is the dependent variable?

300

This value most often appears in a given dataset or collection of numbers.

What is the mode?

300

This “lurking factor” can explain a correlation between two things.

What is a confounding variable?

300

When you roll a die, the chance of getting any number from 1 to 6 is this type of probability.

What is a uniform probability?

300

Selecting every 10th student from a list is an example of this sampling method.

What is systematic sampling?

300

This variable is the one you use to make predictions.

What is the independent variable?

400

This value can dramatically distort the mean.

What is an outlier?

400

This number between –1 and 1 measures how strongly two variables relate.

What is the correlation coefficient?

400

This is what we call the chance that something will happen — like 1 out of 4, or 25%.

What is probability?

400

A survey that only samples people at the mall likely suffers from this.

What is convenience bias?

400

This measure tells you how well a regression model fits the data, ranging from 0 to 1.

What is R-squared?

500

It indicates the extent that one can 'spread out' the data/results within average of that set of values (or set of items).

What is Standard Deviation?

500

A correlation of 0 means this kind of relationship between variables.

What is no linear relationship?

500

This term describes events where the outcome of one does NOT affect the other.

What are independent events?

500

This type of error measures how much survey results could differ from the true population.

What is margin of error?

500

This type of point is far from the rest and can heavily influence the regression line.

What is an influential outlier?