'Independent events' presentation slideshows

Probability

975 views • 73 slides

Conditional probability

Conditional probability. Ordinary Probability. You are dealt two cards from a deck. What is the probability the second card dealt is a Jack ?

650 views • 40 slides

Mathematics

Mathematics. Session. Probability -2. Session Objectives. Addition Theorem on Probability. Conditional Probability. Multiplication Theorem on Probability. Independent Events. Class Exercise. Addition Theorem For 2 Events.

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Class 04. Wunderdog and the Normal Distribution

Class 04. Wunderdog and the Normal Distribution. EMBS Section 6.2. Class 03 Assignment. Answers are posted on the course website My office hours are IN THE CLASSROOM. 3 to 430 on class days Or email me for an appointment pfeiferp@virginia.edu TA Office hours Sundays and Tuesday Nights

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A SHORT INTRODUCTION TO PROBABILITY Because of the stochastic nature of genetics and evolution, we have to rely on the

A SHORT INTRODUCTION TO PROBABILITY Because of the stochastic nature of genetics and evolution, we have to rely on the theory of probability . . Terminology The possible outcomes of a stochastic process are called events . (A deterministic process has only one possible outcome.)

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Chapter 11 Chi-Square Procedures

Chapter 11 Chi-Square Procedures. 11.3 Chi-Square Test for Independence; Homogeneity of Proportions.

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MUTUALLY EXCLUSIVE EVENTS

MUTUALLY EXCLUSIVE EVENTS.

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Chapter 6 Probability

Chapter 6 Probability. Outline. Hypothesis Testing Review/experience Probability defined Probability and frequency tables Probability and the Normal Distribution Using the tables in the back. Hypothesis Testing. Type I/alpha, Type II/beta, Power/1-beta, 1-alpha, sigma, 1-sigma.

393 views • 18 slides

Probability of Independent and Dependent Events

Probability of Independent and Dependent Events. p. 730. Two events are Independent if the occurrence of 1 has no effect on the occurrence of the other. (a coin toss 2 times, the first toss has no effect on the 2 nd toss).

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Ch. 11 Conditional Probability

Ch. 11 Conditional Probability. P(A |B) = P(A and B)/ P(B), assuming P(B) > 0 P(B |A) = P(A and B)/ P(A), P(A) > 0 . Examples.

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Fundamental Statistics for the Behavioral Sciences, 5th edition David C. Howell

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Mendel and the Gene Idea

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Chapter 6 - Probability

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Review

Review. Probability Random variables Binomial distribution. 1. Event A occurs with probability 0.2. Event B occurs with probability 0.8. If A and B are disjoint (mutually exclusive) then (i) p(A and B)=0.16 (ii) p(A or B)=1 (iii) p(A and B)=1 (iv) p(A or B)=0.16

113 views • 10 slides

Chapter 9 Probability

Chapter 9 Probability. James A. Van Slyke Azusa Pacific University. Probability . a priori probability Classical probability That which can be deduced from reason alone, prior to experience No data collection or computation is necessary . Probability . a posteriori

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Probability of Independent Events

M8D2. Students will determine the number of outcomes related to a given event. Probability of Independent Events. M8D3. Students will use the basic laws of probability. B. Apply the multiplication principle of counting. Probability can be expressed as a ratio, decimal or percent. .

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Honors Precalculus

Honors Precalculus. Counting and Probability Section 12.2: Permutations and Combinations IBTWW:. Independent Events Have no effect on one-another Dependent events Permutation of n elements taken r at a time Arrangement Order matters choose 1 at a time choose r at a time

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The Poisson Probability Distribution

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Basics of Probability

"CK-12 FlexBooks on Probability explains whether an event will or will not occur. Using the laws of probability, we can find the likelihood of two events occurring together, not occurring, or a large variety of other combinations."

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