Back to Basics
Rank-Based Correlations
Partial and Semi-Partial Correlations
Bootstrapping
100
Some think this means causation, but it doesn't (necessarily)

What is correlation?

100

What you use when you want to run a correlation but you have variable scaling issues, outlier sensitivity, or some violations of linearity.

What is a rank-based correlation?

100

When we run into the third variable problem, we can still examine a relationship using this.

What is a partial correlation?

100

The statistical procedure we use when we don't have an appropriate test to run.

What is bootstrapping?

200

When values on one variable are unevenly associated with values on another variable.

What is a correlation?

200

The most common rank-based correlation is Spearman's Rank Correlation Coefficient. But there's another less widely recognized option. 

What is Kendall's Tau?

200

When we want to remove the influence of a third variable, from only one of the main two variables of interest, we use this. 

Semi-partial correlation

200

If we were able to measure thousands of populations, we wouldn't need this branch of statistics.

What is inferential statistics?

300
Correlations are usually thought to only occur between variables that can both be shown as numerical dimensions, but there is another type of variable that we can run a correlation on. 

What is a nominal variable?

300

There are two assumptions for the rank-based correlation hypothesis tests. One is that the data represent random, independent samples from a population (implied to be identically distributed). The other is more a condition of use. "The variables X and Y have at least ___________."

What is ordinal scaling?

300

The term used for "leftover" variation after you run a regression. The unpredictable portion. 

What are the residuals?

300

It's not only hypothesis tests that are affected by non-normally distributed errors, but also ________. 

What is a confidence interval?

400

The idea that the full strength of a relationship can be captured in statistics that assume linearity, like the Pearson r.

What is a misconception?

400

Something that makes it "feel" less impressive when looking at a result from a rank-based correlation.

What is a lower value?

400

After you remove the influence of Variable C on Variable A and Variable B, you could say the new relationship you are observing between Variable A and Variable B is __________ of Variable C. 

What is independent?

400

The questionable value that comes from running a hypothesis test on badly skewed data. 

What is a p-value?

500

Variation that bridges or links two variables, so that variations in one variable are connected to variations in the other.

What is covariance?

500

The four applications of rank-based correlations include...
1. Violations of normality
2. Outliers
3. Monotonic nonlinearity
4. ???

What is ordinal variable scaling? 

500

Another name for semi-partial correlations, but that can cause a bit of a headache. 

What is a part correlation?
500
A method we use in bootstrapping to allow an observation to be selected more than once for the same sample. 

What is sampling with replacement?