'Finite sample space' presentation slideshows

Discrete Probability

817 views • 59 slides

CS322

Week 15 - Friday. CS322. Last time. What did we talk about last time? Review second third of the course. Questions?. Logical warmup. A mother is 21 years older than her child In exactly 6 years, the mother will be exactly 5 times as old as the child Where's the father right now?.

630 views • 52 slides

Discrete Mathematics 6 th edition, 2005

Discrete Mathematics 6 th edition, 2005. Chapter 6 Counting methods and the pigeonhole principle. Basic Principles Permutations and Combinations Algorithms for Generating Permutations and Combinations Introduction to Discrete Probability*

927 views • 52 slides

CS322

Week 15 - Wednesday. CS322. Last time. What did we talk about last time? Review first third of course. Questions?. Logical warmup. Consider the following shape to the right: Now, consider the next shape, made up of pieces of exactly the same size: We have created space out of nowhere!

588 views • 44 slides

Chapter 7- Probability

Chapter 7- Probability. A phenomenon is random if any individual outcome is unpredictable, but each outcome tends to occur in a fixed proportion of a very long sequence of repetitions. Examples : Toss a coin Roll a pair of dice Sex of a newborn baby Draw one card from a deck

905 views • 36 slides

CS322

Week 9 - Wednesday. CS322. Last time. What did we talk about last time? Exam 2 Before that: review Before that: relations. Questions?. Logical warmup. This is an old one, and not especially mathematical Still, it illustrates a useful point

538 views • 36 slides

AP Statistics

365 views • 27 slides

Chapter 8 Probability

Chapter 8 Probability. Section 2 Union, Intersection, and Complement of Events, Odds. Objectives for Section 8.2 . Union, Intersection, Complement of Events; Odds. The student will be able to determine the union and intersection of events.

508 views • 25 slides

Intro to Probability

378 views • 24 slides

Sample Space and Events

Sample Space and Events. Section 2.1. An experiment: is any action, process or phenomenon whose outcome is subject to uncertainty. An outcome: is a result of an experiment. Each run of an experiment results in only one outcome!.

1.28k views • 24 slides

Objectives for Section 8.2

Objectives for Section 8.2 . Union, Intersection, Complement of Events; Odds. The student will be able to determine the union and intersection of events. The student will be able to determine the complement of an event. The student will be able to determine the odds of an event.

388 views • 24 slides

Distances between Data Sets Based on Summary Statistics

Machine Learning Paper Reading Series. Distances between Data Sets Based on Summary Statistics. Nikolaj Tatti, JMLR, 01/2007. Presented by Yuting Qi ECE Dept. Duke Univ. 02/02/2007. Introduction. Goal:

216 views • 13 slides

Methods of Enumeration

378 views • 7 slides

6.1 Probability exercises

6.1 Probability exercises. Def. Def: If S is a finite sample space of equally likely outcomes, and E is an event, that is, a subset of S, then the probability of E is P(E)= |E|/|S|.

156 views • 4 slides