It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

This guide contains all of the ASC's statistics resources. If you do not see a topic, suggest it through the suggestion box on the Statistics home page.

- Home
- Excel - Tutorials
- Probability
- VariablesToggle Dropdown
- Statistics BasicsToggle Dropdown
- Z-Scores and the Standard Normal DistributionToggle Dropdown
- Accessing SPSS
- SPSS-TutorialsToggle Dropdown
- Effect SizeToggle Dropdown
- G*PowerToggle Dropdown
- ANOVAToggle Dropdown
- Chi-Square TestsToggle Dropdown
- CorrelationToggle Dropdown
- Mediation and Moderation
- Regression AnalysisToggle Dropdown
- T-TestToggle Dropdown
- Predictive Analytics
- Quantitative Research Questions
- Hypothesis TestingToggle Dropdown
- Statistics Group Sessions

This page should be used as a quick reference guide for this unit. Some terminology and concepts presented here are covered in more detail on other pages. Refer back to these rules as needed.

**Basic Probability Rules**

1) Possible values for probabilities range from 0 to 1

0 = impossible event

1 = certain event

2) The sum of all the probabilities for all possible outcomes is equal to 1.

Note the connection to the complement rule.

3) Addition Rule - the probability that one or both events occur

mutually exclusive events: P(A or B) = P(A) + P(B)

not mutually exclusive events: P(A or B) = P(A) + P(B) - P(A and B)

4) Multiplication Rule - the probability that **both **events occur together

independent events: P(A and B) = P(A) * P(B)

P(A and B) = P(A) * P(B|A)

5) Conditional Probability - the probability of an event happening **given** that another event has already happened

P(A|B) = P(A and B) / P(B)

*Note the line | means "given" while the slash / means divide

**Key Terminology**

*Mutually Exclusive* - this indicates that two events cannot happen at the same time.

For example, consider the following two events: A) rolling a 2 and B) rolling an odd number. Since 2 is an even number, it's not possible for me to roll a 2 and for that number to be odd. Therefore, these events are mutually exclusive.

*Independent Events* - the probability of one event does not change based on the outcome of the other event

Consider a basketball player shooting 2 free throws. If the player's probability of making the second shot changes based on whether or not they make the first shot, then these events are dependent. If the probability does not change, then they would be independent.

- Last Updated: Nov 30, 2022 3:21 PM
- URL: https://library.ncu.edu/statsresources
- Print Page