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Calculator Version
Calculator Version

... the rest of the course, you must conquer this topic  Normal distributions are common  There are methods to use normal distributions even if you data does not follow a normal distribution ...
7th Grade Advanced Topic IV Probability, MA.7.P.7.1, MA.7.P.7.2
7th Grade Advanced Topic IV Probability, MA.7.P.7.1, MA.7.P.7.2

... She reached into the container, pulled out one shape at random, recorded its number, and put the shape back into the container. Martha did this 10 times with the results shown below. ...
Randomness at the root of things 2: Poisson sequences
Randomness at the root of things 2: Poisson sequences

A Philosopher`s Guide to Probability
A Philosopher`s Guide to Probability

... was when he wrote it in 1736. It is almost platitudinous to point out the importance of probability in statistics, physics, biology, chemistry, computer science, medicine, law, meteorology, psychology, economics, and so on. Probability is crucial to any discipline that deals with indeterministic pro ...
lectures 1-4
lectures 1-4

... • Theoretical (e.g. spectral test), but mostly address whole period, not guaranteed to be meaningful for shorter streams. • Empirical tests, claim to look for various aspects of (non)randomness of a given stream. Consist of computing a certain number using the given stream, comparing with result of ...
ppt
ppt

Ergodic theorems for extended real
Ergodic theorems for extended real

Solutions - U.I.U.C. Math
Solutions - U.I.U.C. Math

Sec 11.3 Geometric Sequences and Series
Sec 11.3 Geometric Sequences and Series

... A geometric sequence is a sequence of the form a, ar, ar2, ar3, ar4, . . The number a is the first term, and r is the common ratio of the ...
Teacher Version
Teacher Version

4 Sums of Independent Random Variables
4 Sums of Independent Random Variables

... that a p ° q random walk S n (starting at the default initial state S 0 = 0) will visit B before A? This is the gambler’s ruin problem. It is not difficult to see (or even to prove) that the random walk must, with probability one, exit the interval (A, B ), by an argument that I will refer to as Ste ...
Ballot theorems for random walks with finite variance
Ballot theorems for random walks with finite variance

The Fibonacci Numbers And An Unexpected Calculation.
The Fibonacci Numbers And An Unexpected Calculation.

A Conversation about Collins - Chicago Unbound
A Conversation about Collins - Chicago Unbound

... with beards would be smaller still, say 2 percent. For (E)in 1964, the unconditional probability might therefore be about 1/50, rather than 1/10. If we change all of the probabilities to unconditional probabilities in this manner, then their product will not-except by a fluke-equal ...
Perceptions of Randomness: Why Three Heads Are Better Than Four
Perceptions of Randomness: Why Three Heads Are Better Than Four

... is another. Each branch represents one possible sequence from 16 and has an equal probability of 1/16 of occurring at random. This confirms the claim that people are wrong to perceive one of these exact orders as more likely than the other. More precisely, the probability tree confirms the claim tha ...
26 - Duke Computer Science
26 - Duke Computer Science

... The error probability 1/3 may seem random Actually, we can choose any value 0    1 Amplification Lemma Let 0    1. Then for any polynomial p(n) and a probabilistic TM PT1 that operates with error probability , there is a probabilistic TM PT2 that operates with an error probability 2 p ( n ) ...
Probabilistic Algorithms
Probabilistic Algorithms

... Let 0 < ε < 1. Then for any polynomial p(n) and a probabilistic TM PT1 that operates with error probability ε, there is a probabilistic TM PT2 that operates with an error probability 2 − p ( n ) ...
Introduction to Probability Distributions
Introduction to Probability Distributions

Statistical Study of Digits of Some Square Roots
Statistical Study of Digits of Some Square Roots

... normal numbers [cf. II.2 below], in the sense of Borel, and whether in some sense they are random numbers. The expansions have been computed, not only in the usual bases of 2 (or 8) and 10, but also in those of 3, 5, 6, 7. Some investigators have on occasion expressed the belief that J2 may not be n ...
Practice Midterm 1 Solutions
Practice Midterm 1 Solutions

... vowels, how many are palindromes? Now the two vowels must go in slots 1 and 5, or 2 and 4, and be the same. So we have only 2 × 7 choices there. This leaves three consonants, but only two choices because the last consonant must be the same as the first. Therefore the total count is 2 × 7 × (24 − 7)2 ...
1 - WMO
1 - WMO

Framework objectives - Coombeshead Academy Frog VLE
Framework objectives - Coombeshead Academy Frog VLE

Probability and Symmetry Paul Bartha Richard Johns
Probability and Symmetry Paul Bartha Richard Johns

weak laws of large numbers for arrays of rowwise negatively
weak laws of large numbers for arrays of rowwise negatively

... Placing probability on each of the other vertices {(1,0,0),(0,1,0),(0,0,1),(1,1,1)} provides the converse example of pairwise independent random variables which will not satisfy (2.3) with 0, x 2 -0 and x 3- 0 but where the desired ’<’ in (2.5) hold for all Xl,X 2 and x 3. Consequently, the followin ...
here. - School of Mathematics
here. - School of Mathematics

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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.
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