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Chapter 4 Slides
Chapter 4 Slides

... • There are a fixed number of trials, denoted by the letter n. • There are only two possible outcomes, called "success" and "failure," for each trial. The letter p denotes the probability of a success on one trial, and q denotes the probability of a failure on one trial. p + q = 1. • The n trials ar ...
Understanding Probability Laws
Understanding Probability Laws

... Understanding Probability Laws Let a random experiment have sample space S. Any assignment of probabilities to events must satisfy three basic laws of probability, called Kolmogorov’s Axioms: 1) For any event A, P(A) ≥ 0. 2) P(S) = 1. 3) If A and B are two mutually exclusive events (i.e., they canno ...
Review - Lexington Public Schools
Review - Lexington Public Schools

... where P(B | A) means prob. of B given A □ If events A and B are independent: P(A and B) = P(A) · P(B) ...
Math 111 Practice Test for Chapter 11 Solve the following problems
Math 111 Practice Test for Chapter 11 Solve the following problems

... 1 through 8. If the pointer lands on a borderline, spin again. Find the probability that the pointer  will stop on an even number or a number less than 4. (one answer)  ...
Lecture03
Lecture03

155S4.1-2_3 Basic Concepts of Probability
155S4.1-2_3 Basic Concepts of Probability

Experimental Probability 1-2-13
Experimental Probability 1-2-13

... Equally likely outcomes have the same chance of occurring. When you toss a fair coin, heads and tails are equally likely outcomes. Favorable outcomes are outcomes in a specified event. For equally likely outcomes, the theoretical probability of an event is the ratio of the number of favorable outco ...
Department of Mathematics Math 132 Spring 2007 Test 3 Solution
Department of Mathematics Math 132 Spring 2007 Test 3 Solution

... At the Milex tune-up and brake shop, the manager has found out that a car will require tune-up with a probability of 0.6, a brake job with a probability of 0.3, and both a tune-up and a brake job with a probability of 0.1. What is the probability that a randomly chosen car at the shop [Hint: Draw a ...
Slide 1
Slide 1

... Warm Up 1. If you roll a number cube, what are the possible outcomes? 1, 2, 3, 4, 5, or 6 2. Add 3 + 1. 1 ...
Statistics and Probability / Central Tendency and
Statistics and Probability / Central Tendency and

Probability of Independent and Dependent Events and Conditional
Probability of Independent and Dependent Events and Conditional

6.9 – Discrete Random Variables: Mean and Standard Deviation
6.9 – Discrete Random Variables: Mean and Standard Deviation

Answer Key - cloudfront.net
Answer Key - cloudfront.net

... 28. A game consists of tossing a coin and rolling a six-sided die. The results can be recorded easily; for example, if heads shows on the coin and a 4 shows on the die, record this as H4. List the sample space for the results of this game. ...
Document
Document

155S4.4_3 Multiplication Rule: Basic
155S4.4_3 Multiplication Rule: Basic

... Some calculations are cumbersome, but they  can be made manageable by using the common  practice of treating events as independent when  small samples are drawn from large  populations. In such cases, it is rare to select  the same item twice.  ...
7-3 Sample Spaces and Events - University of Colorado Boulder
7-3 Sample Spaces and Events - University of Colorado Boulder

... Random experiments: Experiments which do not yield the same results ( flipping coins, rolling dice, spinning a number wheel, ..) The single outcome from an experiment cannot be predicted with certainty. Sample spaces and events: The sample space (S) is the collection of basic outcomes of an experime ...
Slides - UTSA CS
Slides - UTSA CS

... Prosecutor’s fallacy P (g | m) = P (m | g) * P(g) / P (m) ~ P(g) / P(m) • P(g): the probability for someone to be guilty with no other evidence • P(m): the probability for a DNA match • How to get these two numbers? – We don’t really care P(m) – We want to compare two models: • P(g | m) and P(i | m ...
$doc.title

... Suppose we have N trials and a specified event occurs r times. ★ example: rolling a dice and the event could be rolling a 6. ◆ define probability (P) of an event (E) occurring as: P(E) = r/N when N →∞ ★ examples: ■ six sided dice: P(6) = 1/6 ■ coin toss: P(heads) = 0.5 ☞ P( ...
Probability
Probability

Introduction to Probability
Introduction to Probability

Mathematical Statistics Chapter II Probability
Mathematical Statistics Chapter II Probability

Probability and Statistics - DocuShare
Probability and Statistics - DocuShare

... CC.2.4.HS.B.7 – Apply the rules of probability to compute probabilities of compound events in a uniform probability model. ...
Chapter 2: The Concept of Probability
Chapter 2: The Concept of Probability

Section 5.2 Notes
Section 5.2 Notes

2140606 - Gujarat Technological University
2140606 - Gujarat Technological University

< 1 ... 330 331 332 333 334 335 336 337 338 ... 412 >

Probability

Probability is the measure of the likeliness that an event will occur. Probability is quantified as a number between 0 and 1 (where 0 indicates impossibility and 1 indicates certainty). The higher the probability of an event, the more certain we are that the event will occur. A simple example is the toss of a fair (unbiased) coin. Since the two outcomes are equally probable, the probability of ""heads"" equals the probability of ""tails"", so the probability is 1/2 (or 50%) chance of either ""heads"" or ""tails"".These concepts have been given an axiomatic mathematical formalization in probability theory (see probability axioms), which is used widely in such areas of study as mathematics, statistics, finance, gambling, science (in particular physics), artificial intelligence/machine learning, computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe the underlying mechanics and regularities of complex systems.
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