'N2 ways' presentation slideshows

4.1 (cont.) Probability Models

4.1 (cont.) Probability Models. The Equally Likely Approach (also called the Classical Approach). Assigning Probabilities. If an experiment has N outcomes, then each outcome has probability 1/N of occurring If an event A 1 has n 1 outcomes, then P(A 1 ) = n 1 /N. Dice

410 views • 34 slides

CSCI 115

379 views • 23 slides

Class notes for ISE 201 San Jose State University Industrial & Systems Engineering Dept.

Probability & Statistics for Engineers & Scientists, by Walpole, Myers, Myers & Ye ~ Chapter 2 Notes. Class notes for ISE 201 San Jose State University Industrial & Systems Engineering Dept. Steve Kennedy. Probability Intro.

525 views • 22 slides

Counting

Counting. Rosen Chapter 5 and Schaums Chapter 6. The Basics of Counting. Sum Rule Product Rule. applications : coding theory , probability and statistics , and in the analysis of algorithms. The sum rule. If there are n 1 ways to do task 1, and n 2 ways to do task 2

386 views • 21 slides

Section 10-2

Section 10-2. Using the Fundamental Counting Principle. Using the Fundamental Counting Principle. Uniformity and the Fundamental Counting Principle Factorials Arrangements of Objects. Uniformity Criterion for Multiple-Part Tasks.

343 views • 16 slides

Counting: Product and Sum Rules

2.4k views • 13 slides

Principles of Statistics

Principles of Statistics. Chapter 2 Elements of Probability. Basic Concepts: Statistical Experiment : Process of collecting data Sample Space (S) : Collection of all outcomes of the experiment. Event : Any subset of the sample space Probability of the Event : Measure on the event.

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The Fundamental Principle of Counting

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