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Mon, 2/24 |
- 3.1 Terminology
- experiments, sample spaces, axioms of probability, EVENT, Law of Large Numbers,
OR, union of outcomes, AND, intersection of outcomes, complement, conditional probability
- 3.2 Independent & Mutually Exclusive Events
- independent events, sampling with and without replacement, probabilities using complements,
Determine if events are independent and/or mutually exclusive
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Wed, 2/26 |
- 3.3 Two Basic Rules of Probability
- Find probabilities using the Multiplication Rule & Addition Rule
- 3.4 Contingency Tables
- Construct two-way tables for multivariate data, Use contingency tables to find conditional and marginal probabilities
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Mon, 3/3 |
- 3.5 Tree and Venn Diagrams
- a) Create Tree and Venn Diagrams to represent a sample space and aid to find probabilities
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Wed, 3/5 |
- 4.1 Probability Distribution Function for a Discrete Random Variable
- Identify the characteristics of a discrete pdf
- 4.2 Mean or Expected Value and Standard Deviation
- Calculate and interpret the expected value of a discrete random variable
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Mon, 3/17 |
- 4.3 Binomial Distribution
- Identify the characteristics of binomial experiment and use these to solve applied probability problems
- construct a bar chart for probabilities of a Binomial random variable (Lab 5)
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Wed, 3/19 |
- Use technology to compute probabilities
- Recap chapter 3,4 material
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