• 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
CSE 1520 Computer Use: Fundamentals
CSE 1520 Computer Use: Fundamentals

Lecture 9: Indistinguishability and Pseudorandomness (Sep 27, Anthony Chang)
Lecture 9: Indistinguishability and Pseudorandomness (Sep 27, Anthony Chang)

Alternative Axiomatizations of Elementary Probability
Alternative Axiomatizations of Elementary Probability

Practice Exam Semester I Alg I Honors
Practice Exam Semester I Alg I Honors

... player chooses a number randomly and the number has two digits? D. What is the probability that a player chooses a number randomly and the number is 5 or 15? E. What is the probability that a player chooses a number randomly and the number is a multiple of 5? ...
CHANGE OF TIME SCALE FOR MARKOV PROCESSES
CHANGE OF TIME SCALE FOR MARKOV PROCESSES

Bell-Boole Inequality: Nonlocality or Probabilistic Incompatibility of Random Variables?
Bell-Boole Inequality: Nonlocality or Probabilistic Incompatibility of Random Variables?

Exercise 4.16 Show that the class F of subsets A of R such that A or
Exercise 4.16 Show that the class F of subsets A of R such that A or

Notes on Induction, Probability and Confirmation
Notes on Induction, Probability and Confirmation

... rational belief. According to the second strand, probabilities, like masses and charges, are objective features of the world. The epistemic strand is divided into two camps according to whether priori probabilities express rational (objective) or merely subjective degrees of belief. Both camps agree ...
The “coefficients H” Technique - PRiSM
The “coefficients H” Technique - PRiSM

BROWNIAN MOTION Contents 1. Continuous Random Variables 1
BROWNIAN MOTION Contents 1. Continuous Random Variables 1

Research on Financial Early Warning
Research on Financial Early Warning

Document
Document

comments / solutions to the HW
comments / solutions to the HW

... don’t miss anything. We start with all the ways where the first six rolled is from the first die. After we exhaust all those, we then turn to all the ways where the first six rolled is from the second die, and so on. Again letting ∗ denote a non-6, we find ...
May 2008 Lawrence Xie: Prime Probability through Parity Page 1 of
May 2008 Lawrence Xie: Prime Probability through Parity Page 1 of

... An error was in Step 1 of the Prelude to the Paradox was found. I incorrectly made the conclusion that a randomly chosen composite number has a 2/3 probability of being even. This flaw in reasoning arose from the assumption that each of the composite number’s factors each has a 50% chance of being 2 ...
"Typical" and - DigitalCommons@UTEP
"Typical" and - DigitalCommons@UTEP

... Instead of properties, it is reasonable to talk about sets. Every property P (x) defines a set, namely, the set {x : P (x)} of all the objects that satisfy this property. However, not all sets correspond to what we intuitively mean by properties. Indeed, in statistics, properties must be well defined ...
Analysis of State Transitions
Analysis of State Transitions

... Temporarily Ill. Absorbing states are states that cannot be transitioned out of once they are entered (i.e. they only have arrows leading to them and not away from them). Obviously in this example the “Dead” state is absorbing; you clearly cannot exit this state once you enter it, but you can enter ...
spectral properties of trinomial trees
spectral properties of trinomial trees

Cliques in random graphs 419
Cliques in random graphs 419

Risk, Uncertainty, and Profit
Risk, Uncertainty, and Profit

... speculation; and (3) entrepreneurship. For a full treatment of the lastnamed it is necessary to go to the German works cited in the historical portion of this study. English economics has been too exclusively occupied with long-time tendencies or with "static" economics to give adequate attention to ...
§3.2 – Conditional Probability and Independence
§3.2 – Conditional Probability and Independence

Interior Angles of Regular Polygons
Interior Angles of Regular Polygons

... The first thing is to work out what the range is. You can't have a total less than 2 (both dice being 1) and you can't have a total more than 12 (both dice being 6). The easiest way to see what the probabilities is to write out the possible totals. There are 36 of them in all (6 x 6). Total on dice ...
Chapter6
Chapter6

Stochastic Processes
Stochastic Processes

Understanding true probability, model estimates, and experimental
Understanding true probability, model estimates, and experimental

... mathematics of probability, and prior knowledge (for example, recognising the scenario could be modelled by the Poisson distribution). A model estimate is an estimate of the probability that an event will occur, based on a probability model. The model estimate of a fair coin landing heads is 0.5. I ...
What Conditional Probability Also Could Not Be
What Conditional Probability Also Could Not Be

... 2. The problem of the zero denominator, revisited Central to Kenny’s paper is the problem of the zero denominator, so we will do well to remind ourselves what the problem is. It arises from the conjunction of two facts. The first fact, familiar from elementary school arithmetic, is that you can’t di ...
< 1 ... 18 19 20 21 22 23 24 25 26 ... 76 >

Infinite monkey theorem



The infinite monkey theorem states that a monkey hitting keys at random on a typewriter keyboard for an infinite amount of time will almost surely type a given text, such as the complete works of William Shakespeare.In this context, ""almost surely"" is a mathematical term with a precise meaning, and the ""monkey"" is not an actual monkey, but a metaphor for an abstract device that produces an endless random sequence of letters and symbols. One of the earliest instances of the use of the ""monkey metaphor"" is that of French mathematician Émile Borel in 1913, but the first instance may be even earlier. The relevance of the theorem is questionable—the probability of a universe full of monkeys typing a complete work such as Shakespeare's Hamlet is so tiny that the chance of it occurring during a period of time hundreds of thousands of orders of magnitude longer than the age of the universe is extremely low (but technically not zero). It should also be noted that real monkeys don't produce uniformly random output, which means that an actual monkey hitting keys for an infinite amount of time has no statistical certainty of ever producing any given text.Variants of the theorem include multiple and even infinitely many typists, and the target text varies between an entire library and a single sentence. The history of these statements can be traced back to Aristotle's On Generation and Corruption and Cicero's De natura deorum (On the Nature of the Gods), through Blaise Pascal and Jonathan Swift, and finally to modern statements with their iconic simians and typewriters. In the early 20th century, Émile Borel and Arthur Eddington used the theorem to illustrate the timescales implicit in the foundations of statistical mechanics.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report