'P event' presentation slideshows

Chapter 2

Chapter 2. Probability Concepts and Applications. Probability. A probability is a numerical description of the chance that an event will occur. Examples: P(it rains tomorrow) P(flooding in St. Louis in September) P(winning a game at a slot machine)

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4-2

4-2. Theoretical Probability . Lesson Presentation. 4-2. When the outcomes in the sample space of an experiment have the same chance of occurring, the outcomes are said to be equally likely . .

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Lesson #11 Relative Risk and the Odds Ratio

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Relative Risk, Increased Risk, and Odds Ratios

Relative Risk, Increased Risk, and Odds Ratios. Measures that allow us to compare two groups. Example: Plaque Breaks and Heart Attacks. The comparison. 0.68/0.21 = 3.24.

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Chapter 4

Chapter 4. Solving and Applying Proportions. 4-1 Ratio and Proportion. All ratios must compare numbers with the SAME units (so you may have to convert) Ratios compare 2 numbers, so if it is improper do NOT convert to a mixed number

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Warm-up Date 01/05/09 Pre-Section 6-4 Probability

Warm-up Date 01/05/09 Pre-Section 6-4 Probability. Simplify. Date 01/05/09 Sec 6-4 Probability. Goal. To find probability To find odds. ...And Why. To solve real-world problems involving the likelihood of events. Key Words. outcomes:.

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2-6 Theoritical and experimental probability

2-6 Theoritical and experimental probability. Ex. 1 finding theoretical probability. Probability: how likely something will occur Outcome: result of a single trial rolling a 5 on a dice Sample space: all possible outcomes all numbers on number cube Event:

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1-6 Probability

1-6 Probability. M11.E.3.1.1: Find probabilities for independent, dependent, or compound events and represent as a fraction, decimal, or percent. Objectives. Experimental Probability Theoretical Probability. Vocabulary. Experimental Probability of event = P(event)

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Probability

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