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  1. Note: textbooks and formula sheets interchange “r” and “x” for number of successes Chapter 5 Discrete Probability Distributions: 22 Mean of a discrete probability distribution: [ ( )] Standard deviation of a probability distribution: [ ( )] x Px x Px µ σµ =∑• =∑• − Binomial Distributions number of successes (or x ...

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  2. Answer: An elementary event is represented by a 2-size combination of numbers of the two dice. The set of elementary events is then { ( a , b ) a ∈ { 1, 2, 3, 4,5, 6 } , b ∈ { 1, 2, 3, 4,5, 6 } } , which is a set of combinations with 6 x 6 = 36 elements.

  3. The odds against an event is a ratio of the probability that the event will fail to occur (failure) to the probability that the event will occur (success). Ratios are often represented as fractions. So we can write a formula for odds against using fractions as follows: Odds against event = P event fails to occur P failure

  4. Statistics Facts, Formulae and Information. mathcentre is a project offering students and staff free resources to support the transition from school mathematics to university mathematics in a range of disciplines.

  5. Statistics 350 Help Card Summary Measures Sample Mean n x n x x x x n2 ¦ i 1 Sample Standard Deviation 1 ( )2 ¦ n x x s i 1 2 2 ¦ n x i nx Probability Rules x Complement rule P(AC) 1 P(A) x Addition rule General: P(A or B) P(A) P(B) P(A and B) For independent events: P(A or B) P(A) P(B) P(A)P(B) For mutually exclusive events: P(A xor B) P(A ...

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  6. ()xp− (Standard deviation of a probability distribution) σσ== 22 Σµ() xp − 2 (Computing formula for variance of a probability distribution) σΣ=− ()xp22 µ (Computing formula for standard deviation of a probability distribution) µ= np (Mean of a binomial probability distribution) σ2 =−np()1 pn= pq (Variance of a binomial ...

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  8. May 27, 2000 · The odds are a way of representing probability, especially familiar for betting. For example, the odds that a single throw of a die will produce a six are 1 to 5, or 1/5. The odds is the ratio of the probability that the event of interest occurs to the probability that it does not.

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