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Probability Mon, Apr 20 Experimental Probability - note and worksheet: Experimental Probability Worksheet.doc Tues, Apr 21 Computer Lab Day - survey assignment Wed, Apr 22 Data Management Test Thur, Apr 23 Experimental Probability: Experimental Probability Worksheet.doc L1 Exp probability completed.pdf Fri, Apr 24

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Chapter 5: Probability 5.1 Probability Rules 5.2 The Addition Rule and Complements 5.3 Independence and the Multiplication Rule 5.4 Conditional Probability and the General Multiplication Rule 5.5 Counting Techniques 5.6 Putting It Together: Probability In Chapter 5, we step away from data for a while. We take a look at a new topic for us ...

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This idea of computing a probability given that we know that certain even is true is a representation of how our brain works, and hence, make the idea of conditional probability very important. Also, the concept of conditional probability and the law of multiplication play a crucial role for the construction of the Total Probability Rule as ...

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2 6 5 2 ⋅ 2 6 5 1 ≈ 0. 2 5 5. \dfrac {26} {52}\cdot\dfrac {26} {51} \approx 0.255 5226. . ⋅ 5126. . ≈0.255. So the probability that both cards are black is: P ( both black) = 26 52 ⋅ 25 51 ≈ 0.245. P (\text {both black})=\dfrac {26} {52}\cdot\dfrac {25} {51}\approx0.245 P (both black) = 5226.

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6 The Basic Rules ofProbability This chapter summarizes the rules you have been using for adding and multiplying probabilities, and for using conditional probability. It also gives a pictorial way to understand the rules. The Basic Rules ofProbability 59 (2) Pr(certain proposition) = 1 Pr(sure event) = 1