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a)

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1. $X \\sim \\operatorname{bin}(\\var{number1},\\var{prob})$, so $n= \\var{number1},\\;\\;p=\\var{prob}$.

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2. The expectation is given by $\\operatorname{E}[X]=n\\times p=\\var{number1}\\times \\var{prob}=\\var{number1*prob}$

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3. $\\operatorname{stdev}(X)=\\sqrt{n\\times p \\times (1-p)}=\\sqrt{\\var{number1}\\times \\var{prob} \\times \\var{1-prob}}=\\var{sd}$ to 3 decimal places.

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b)

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1. \\[ \\begin{eqnarray*}\\operatorname{P}(X = \\var{thisnumber}) &=& \\dbinom{\\var{number1}}{\\var{thisnumber}}\\times\\var{prob}^{\\var{thisnumber}}\\times(1-\\var{prob})^{\\var{number1-thisnumber}}\\\\& =& \\var{comb(number1,thisnumber)} \\times\\var{prob}^{\\var{thisnumber}}\\times\\var{1-prob}^{\\var{number1-thisnumber}}\\\\&=&\\var{prob1}\\end{eqnarray*} \\] to 3 decimal places.

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2. 

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\\[ \\begin{eqnarray*}\\operatorname{P}(X \\leq \\var{thatnumber})& =& \\simplify[all,!collectNumbers]{P(X = 0) + P(X = 1) + {v}*P(X = 2)}\\\\& =& \\simplify[zeroFactor,zeroTerm,unitFactor]{{1 -prob} ^ {number1}+ {number1} *{prob} *{1 -prob} ^ {number1 -1} + {v} * ({number1} * {number1 -1}/2)* {prob} ^ 2 *( {1 -prob} ^ {number1 -2})}\\\\& =& \\var{prob2}\\end{eqnarray*} \\]

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to 3 decimal places.

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", "rulesets": {}, "parts": [{"prompt": "

Assuming a binomial distribution for $X$ , {descX}, write down the values of $n$ and $p$.

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$X \\sim \\operatorname{bin}(n,p)$

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$n=$ [[0]]        $p=$ [[1]]

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Find $\\operatorname{E}[X]$ the expected {descX1}

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$\\operatorname{E}[X]=$ [[2]]

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Find the standard deviation for the {descX1}

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Standard deviation = [[3]] (to 3 decimal places).

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Find the probability that {this} $\\var{thisnumber}$ {things}

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$\\operatorname{P}(X=\\var{thisnumber})=$ [[0]] (to 3 decimal places).

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Find the probability that {thisaswell} {thatnumber} {things}

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Probability = [[1]] (to 3 decimal places).

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{pre} $\\var{thismany}$ {post}

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{something} $\\var{number1}$ {else}

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31/12/2012:

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Can be configured to other applications using the string variables supplied. Hence added tag sc.

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Not as yet properly tested.

\n \t\t \t\t \n \t\t \n \t\t", "description": "\n \t\t \t\t

Application of the binomial distribution given probabilities of success of an event.

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Finding probabilities using the binomial distribution.

\n \t\t \n \t\t", "licence": "Creative Commons Attribution 4.0 International"}, "type": "question", "showQuestionGroupNames": false, "question_groups": [{"name": "", "pickingStrategy": "all-ordered", "pickQuestions": 0, "questions": []}], "contributors": [{"name": "Bill Foster", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/6/"}]}]}], "contributors": [{"name": "Bill Foster", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/6/"}]}