![HOME ASSIGNMENT](http://s1.studyres.com/store/data/016906606_1-edc65b92698c7634f3f2073f4e101e61-300x300.png)
HOME ASSIGNMENT
... 2. Underline the relevant information. 3. Make notes about the main points. Leave out details such as examples. 4. Make sentences from the notes and link the sentences with connectors (and, but, because, therefore, hence, etc.). 5. Write your first draft. 6. Improve your first draft by reducing sent ...
... 2. Underline the relevant information. 3. Make notes about the main points. Leave out details such as examples. 4. Make sentences from the notes and link the sentences with connectors (and, but, because, therefore, hence, etc.). 5. Write your first draft. 6. Improve your first draft by reducing sent ...
3_yJ - Brunswick School Department
... Internet access in 2001. What is the probability that four randomly selected U.S. households all had Internet access in 2001? B) 49.5% D) 12.6% A) 50.5% E) 93.5% ...
... Internet access in 2001. What is the probability that four randomly selected U.S. households all had Internet access in 2001? B) 49.5% D) 12.6% A) 50.5% E) 93.5% ...
Binomial distribution: some exam questions
... The probability of a telesales representative making a sale on a customer call is 0.15. ...
... The probability of a telesales representative making a sale on a customer call is 0.15. ...
`USING PROBABILITY TO DESCRIBE SITUATIONS`
... Probability is measured on a scale of 0 to1 If an event is certain to happen then it is said to have a probability of 1 or 100%. If an event is certain not to happen then it is said to have a probability of 0 or 0%. If an event may or may not happen then it will have a probability somewhere between ...
... Probability is measured on a scale of 0 to1 If an event is certain to happen then it is said to have a probability of 1 or 100%. If an event is certain not to happen then it is said to have a probability of 0 or 0%. If an event may or may not happen then it will have a probability somewhere between ...
ISIK UNIVERSITY, MATH 230 MIDTERM EXAM II Q1 Q2 Q3 Bonus #1
... 1. ( 10 points) Determine whether the following statements are True or False. Circle T or F. No explanation is required. Let A, B, and Ai denote events in a sample space S and let P(.) denote a probability measure on S. ( Note: A statement is assumed to be true if it is true in any possible case, an ...
... 1. ( 10 points) Determine whether the following statements are True or False. Circle T or F. No explanation is required. Let A, B, and Ai denote events in a sample space S and let P(.) denote a probability measure on S. ( Note: A statement is assumed to be true if it is true in any possible case, an ...
Infinite monkey theorem
![](https://commons.wikimedia.org/wiki/Special:FilePath/Monkey-typing.jpg?width=300)
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.