Descriptive Statistics
Probability
Distributions
Inferential Statistics
Data Interpretation
100

This is the average of a set of numbers

What is the mean?

100

This operation is used to determine the probability of A or B occuring.

What is addition?

100

This bell-shaped curve is common in statistics.

What is Normal Distribution?

100

This interval estimates the range in which a population parameter lies.

What is a confidence interval?

100

This is the hypothesis that assumes no effect or no difference.

What is the null hypothesis?

200

This number is in the middle of an ordered data set.

What is the median?

200

This is the term for probability based on observed outcomes.

What is empirical probability?

200

The mean, median, and mode are equal in this type of distribution.

What is a symmetric distribution?

200

This test compares means for samples too small for a Z-Test.

What is a T-Test

200

The statistical significance of an event is determined by this value.

What is the p-value?

300

This measure shows how spread out the numbers are.

What is the standard deviation?

300

Events that cannot occur at the same time are called this.

What are mutually exclusive events?

300

This distribution shows the probability that a value will take one of two independent values under a given set of parameters or assumptions.

What is Binomial Distribution?

300

This test compares the means or probabilities between two groups

What is a Z-Test?

300

This term refers to data that lie far from other observations.

What is an outlier?

400

This is the difference between the highest and lowest values.

What is the range?

400

This operation is used to find the probability of events A and B occuring, given that they are independent events.

What is multiplication?

400

This is the number of independent values that can vary in a dataset.

What are degrees of freedom?

400

This type of error occurs when a true null hypothesis is rejected.

What is a Type I Error?

400

A correlation coefficient of 1 indicates a very strong type of this relationship.

What is a Linear Relationship?

500

This is the difference between the Q3 and Q1 values.

What is the IQR? (Interquartile Range)

500

The total probability of all possible events is always equal to this number.

What is 1? (or 100%)

500

This distribution measures the probability of success after a given number of trials. 

What is Geometric Distribution?

500

This type of error occurs when a false null hypothesis is not rejected.

What is a Type II Error?

500

This value determines whether the null hypothesis is rejected or fails to be rejected.

What is the significance level?