Descriptive Stats
Inferential Stats
RQs
Variables
Potpourri
100

This central tendency value tells us the average in a population.

What is the mean?

100

This is the range we can have for the R value. 

What is -1<R<1

100

This is the question formed when you have 2 continuous variables.

What is a relationship RQ?

100

This is another name for a nominal variable with only 2 choices(i.e: yes or no)

What is a dichotomous variable?

100

Clinical expertise, patient values, and best research available are all aspects of this.

What is EBP?

200

These central tendency values are not affected by outliers.

What is the median and mode?

200

A negative R value means we have this kind of relationship.

What is an inverse relationship?

200

In a comparative RQ, this variable is always your IV.

What is a categorical variable?

200

Ratio and interval belong to this variable group

What are continuous variables?

200

This type of bias states that people will go searching for data that backs up their current beliefs.

What is confirmation bias?

300

This is another name for a mesokurtic curve.

What is normal distribution?

300

We do this to the null hypothesis when there is significance. 

What is reject the null hypothesis?

300

For this RQ you would make a scatter plot in Excel.

What is a relationship RQ?

300

This is your outcome variable.

What is the dependent variable?

300

This is the research paradigm that quantitative researchers follow.

What is a functionalist paradigm?

400

This value tells us the distribution of our sample, relative to the mean.

What is the standard deviation

400

This is the test you run with a comparative research question.

What is a t-test

400

This type of variable can act as an IV and influence the DV.

What is a confounding variable?

400

Intuition, authority, logic, experience, and the scientific method make up this.

What are the ways of knowing?

500

A p-value of this value tells us if there is any significance with our data.

What is a p-value<0.05