• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Math109 Week 03
Math109 Week 03

... exactly on the basis of the information given. —  On the other hand, consider the problem faced by the produce manager of the supermarket, who must order enough apples to have on hand each day without knowing exactly how many pounds customer will buy during the day. The customer’s demand is an exam ...
21-110: Problem Solving in Recreational Mathematics
21-110: Problem Solving in Recreational Mathematics

... Problem 5. (From The Colossal Book of Short Puzzles and Problems by Martin Gardner.) Bill, a student in mathematics, and his friend John, an English major, usually spun a coin on the bar to see who would pay for each round of beer. One evening Bill said: “Since I’ve won the last three spins, let me ...
Three Selection Algorithms Today we will look at three linear
Three Selection Algorithms Today we will look at three linear

Lecture 3 Gaussian Probability Distribution Introduction
Lecture 3 Gaussian Probability Distribution Introduction

Possibilities and Probabilities
Possibilities and Probabilities

STATS8: Introduction to Biostatistics 24pt Random Variables and
STATS8: Introduction to Biostatistics 24pt Random Variables and

Homework 13 Solutions to 12.6
Homework 13 Solutions to 12.6

Independent and Dependent Events
Independent and Dependent Events

t/l/#6 titanic problem - Youngstown City Schools
t/l/#6 titanic problem - Youngstown City Schools

Document
Document

... We call this a "good" fit since the probability is close to 100%. If however the c2 was large (e.g. 15), the probability would be small (≈ 0.2% for 3 dof). We would say this was a “bad” fit. RULE OF THUMB A “good” fit has c2 /dof ≤ 1 ...
Lecture 3 Counting and Equally Likely Outcomes
Lecture 3 Counting and Equally Likely Outcomes

Some Typical Properties of Large AND/OR Boolean Formulas 1
Some Typical Properties of Large AND/OR Boolean Formulas 1

2.10. Strong law of large numbers If Xn are i.i.d with finite mean, then
2.10. Strong law of large numbers If Xn are i.i.d with finite mean, then

... Let A = {ω : G ω has an infinite connected component}. If there is an infinite component, changing X e for finitely many e cannot destroy it. Conversely, if there was no infinite cluster to start with, changing X e for finitely many e cannot create one. In other words, A is a tail event for the coll ...
Mathematical Test
Mathematical Test

The Normal Distribution
The Normal Distribution

A and B
A and B

... First a definition . . .  When thinking about what happens with combinations of outcomes, things are simplified if the individual trials are independent.  Roughly speaking, this means that the outcome of one trial doesn’t influence or change the outcome of another.  For example, coin flips are in ...
REVIEW ESSAY: Probability in Artificial Intelligence
REVIEW ESSAY: Probability in Artificial Intelligence

Basic Business Statistics, 10/e
Basic Business Statistics, 10/e

Chapter 7-8 Main Ideas • A random variable is a variable taking
Chapter 7-8 Main Ideas • A random variable is a variable taking

Unit 4: Elementary Probability Theory Section 1
Unit 4: Elementary Probability Theory Section 1

Day 1
Day 1

Chapters 12 and 13 - class notes
Chapters 12 and 13 - class notes

... boys. For example, GGB means the first two children are girls and the third child is a boy. All 8 arrangements are (approximately) equally likely. (a) Write down all 8 arrangements of the sexes of three children. What is the probability of any one of these arrangements? (b) Let X be the number of gi ...
Lassiter Varsity Test 2005
Lassiter Varsity Test 2005

Chapter 8
Chapter 8

... Discrete probability distribution. The variable can take on only certain values (usually whole numbers). Continuous probability distribution. The variable can take on an infinite number of values (dependent on the precision of the measuring tool). ...
SOME IMPORTANT CONTINUOUS RANDOM VARIABLES
SOME IMPORTANT CONTINUOUS RANDOM VARIABLES

< 1 ... 118 119 120 121 122 123 124 125 126 ... 262 >

Inductive probability

Inductive probability attempts to give the probability of future events based on past events. It is the basis for inductive reasoning, and gives the mathematical basis for learning and the perception of patterns. It is a source of knowledge about the world.There are three sources of knowledge: inference, communication, and deduction. Communication relays information found using other methods. Deduction establishes new facts based on existing facts. Only inference establishes new facts from data.The basis of inference is Bayes' theorem. But this theorem is sometimes hard to apply and understand. The simpler method to understand inference is in terms of quantities of information.Information describing the world is written in a language. For example a simple mathematical language of propositions may be chosen. Sentences may be written down in this language as strings of characters. But in the computer it is possible to encode these sentences as strings of bits (1s and 0s). Then the language may be encoded so that the most commonly used sentences are the shortest. This internal language implicitly represents probabilities of statements.Occam's razor says the ""simplest theory, consistent with the data is most likely to be correct"". The ""simplest theory"" is interpreted as the representation of the theory written in this internal language. The theory with the shortest encoding in this internal language is most likely to be correct.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report