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Computing probabilities - PowerPoint PPT Presentation

Chapter

Chapter

Chapter. 5. Probability. Section. 5.1. Probability Rules. Objectives Apply the rules of probabilities Compute and interpret probabilities using the empirical method Compute and interpret probabilities using the classical method Use simulation to obtain data based on probabilities

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Sections 6-1 and 6-2

Sections 6-1 and 6-2

Sections 6-1 and 6-2. Review and Preview and The Standard Normal Distribution. NORMAL DISTRIBUTIONS. If a continuous random variable has a distribution with a graph that is symmetric and bell-shaped and can be described by the equation we say that it has a normal distribution . REMARK.

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MA1D2 Probability

MA1D2 Probability

MA1D2 Probability. 5.1 Probability of Simple Events. Probability is a measure of the likelihood of a random phenomenon or chance behavior. Probability describes the long-term proportion with which a certain outcome will occur in situations with short-term uncertainty. EXAMPLE

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Basic Probability

Basic Probability

Basic Probability. Statistics 515 Lecture 04. Importance of Probability. Modeling randomness and measuring uncertainty Describing the distributions of populations Obtaining descriptive measures of populations Assessing uncertainty in the sampling process Inference from sample to population.

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Three Dice - An Exploration of Conditional Probability

Three Dice - An Exploration of Conditional Probability

Three Dice - An Exploration of Conditional Probability. Consider three dice, all fair: Four-sided die (d4) with faces {1,2,3,4} Six-sided die (d6) with faces {1,2,3,4,5,6} Eight-sided die (d8) with faces {1,2,3,4,5,6,7,8}. Consider a two-stage experiment:

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