Statistics Foundations 2: Probability
1h 10mBeginner2021-04-02
Authors

Eddie Davila
Associate Chair for the ASU Supply Chain Management program
Course details
Not sure if you need statistics? Think again! Statistics help with making decisions, new discoveries, investments, and predictions. For subjects ranging from political races to healthcare advancements, statistics can improve your understanding of your favorite topic. In this course, Professor Eddie Davila teaches common terms, formulas, and techniques related to probability, the area of statistics where this course focuses.
Eddie explains that probability is used to make decisions about future outcomes and to understand past outcomes. He covers permutations, combinations, and percentiles, and goes into how to describe and calculate them. Eddie introduces multiple event probabilities and discusses when to add and subtract probabilities. He describes probability trees, Bayes’ Theorem, binomials, and so much more. You can learn to understand your data, prove theories, and save valuable resources—all by understanding the numbers.
Eddie explains that probability is used to make decisions about future outcomes and to understand past outcomes. He covers permutations, combinations, and percentiles, and goes into how to describe and calculate them. Eddie introduces multiple event probabilities and discusses when to add and subtract probabilities. He describes probability trees, Bayes’ Theorem, binomials, and so much more. You can learn to understand your data, prove theories, and save valuable resources—all by understanding the numbers.
Skills covered
StatisticsMicrosoft ExcelFoundationsData ScienceMicrosoft
Concepts
0. Introduction
- 01 - The importance of probabilities
1. Introduction to Probability
- 02 - Probability basics
- 03 - Examples of probability
- 04 - Permutations
- 05 - Combinations
- 06 - Percentiles
2. Multiple Event Probabilities
- 07 - Introduction to multiple events
- 08 - Probabilities of two events
- 09 - Conditional probabilities
- 10 - Probability trees
- 11 - Multiplication rule
- 12 - Using probability trees
- 13 - Bayes theorem
3. Discrete and Continuous Probabilities
- 14 - Discrete vs. continuous
- 15 - Discrete mean
- 16 - Binomials
- 17 - Normal curve
- 18 - Bell-shaped curve
- 19 - Z transformation
Conclusion
- 20 - Next steps
Related courses
- Machine Learning Foundations: Probability
- Probability Foundations for Data Science
- Programming Foundations: Numerical Mathematics and Calculations
- Data Literacy: Exploring and Describing Data
- Statistics Foundations 3: Using Data Sets
- Statistics Foundations 4: Advanced Topics
- Statistics Foundations 1: The Basics
- Machine Learning Foundations: Statistics
Related learn paths
- Build Your Analytical Skills with Statistical Analysis
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