- Subject:
- Statistics and Probability
- Material Type:
- Module
- Level:
- Community College / Lower Division, College / Upper Division
- Provider:
- Ohio Open Ed Collaborative
- Tags:
- License:
- Creative Commons Attribution Non-Commercial
- Language:
- English
- Media Formats:
- Text/HTML
Probability - Supplementary Notes
Chapter 3 - Exercises
Class Worksheet - Introduction to Probability and Addition Rule
Class Worksheet - Introduction to Probability and Addition Rule
Class Worksheet - Multiplication and Complement Rules
Class Worksheet - Multiplication and Complement Rules
Class Worksheet - Permutations and Combinations
Class Worksheet - Permutations and Combinations
Key Terms
Probability Lab
Introduction to Probability
Overview
Probability
The notion of chance or probability of an event plays a crucial role in statistics. In this module we will study this notion and learn different rules that will help us determine the probability of different types of events associated with a process.
Learning Objectives:
- Random experiment, sample space, events
- Permutation and Combination
- Definition of probability of an event and its properties
- Disjoint and independent events
- Conditional events
- Venn and Tree Diagrams
- Complement (Subtraction) rule
- Addition rule
- Multiplication rule
- Division rule
- Two-Way tables
- Total Probability Rule and Bayes Rule
Chapter 3 Exercises
Suggested Exercises – 80, 81, 85, 86, 90, 98, 100, 101-108, 112, 114-115, 118. 119, 121-122, 125
Please see Instructor Facing Content
Class Worksheet - Probability
Insert class worksheet here
Please see Instructor Facing Content
Probability Lab
Insert lab here
Please see Instructor Facing Content
Key Terms
Insert link to key terms here
Please see Instructor Facing Content
Course Video Resources
- Author’s Video
- Khan Academy Videos
- Addition Rule
- Multiplication Rule – Independent Events
- Multiplication Rule – Dependent Events
- Conditional Probability
- Bayes Rule
- Author’s Video
- Khan Academy Videos
- Addition Rule
- Multiplication Rule – Independent Events
- Multiplication Rule – Dependent Events
- Conditional Probability
- Bayes Rule