(New page: This part deals with Binomial Random Variables. Let p = P(no. of questions guessed correctly] W = no. of wrong answers Introduce a "dummy-variable", l, where l = no. of wrong answ...) |
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This part deals with Binomial Random Variables. | This part deals with Binomial Random Variables. | ||
| − | Let p = P(no. of questions guessed correctly] | + | Let p = P(no. of questions guessed correctly] and W = no. of wrong answers |
| − | + | ||
Introduce a "dummy-variable", l, where l = no. of wrong answers out of the (n-k) questions that the student guessed on. | Introduce a "dummy-variable", l, where l = no. of wrong answers out of the (n-k) questions that the student guessed on. | ||
In this case, p = 1/5. Plug that into the PMF binomial variable formula, where the parameters are (n-k, l). | In this case, p = 1/5. Plug that into the PMF binomial variable formula, where the parameters are (n-k, l). | ||
The expression we get is the distribution of W. | The expression we get is the distribution of W. | ||
Latest revision as of 15:04, 23 September 2008
This part deals with Binomial Random Variables. Let p = P(no. of questions guessed correctly] and W = no. of wrong answers
Introduce a "dummy-variable", l, where l = no. of wrong answers out of the (n-k) questions that the student guessed on. In this case, p = 1/5. Plug that into the PMF binomial variable formula, where the parameters are (n-k, l). The expression we get is the distribution of W.
