3.6+Probability+Distributions+NCEA+Info

NCEA stuff - binomial - Poisson - normal. || **Achievement with Merit** || · Use probability distribution models to solve problems. || · Problems may include: - sum of two normally distributed independent variables - inverse normal problems - calculation of sample statistics to estimate the corresponding population parameters, eg using sample data to estimate p for a binomial distribution or l for a Poisson distribution - continuity correction where appropriate - combined events for Poisson, normal or binomial distributions. || - inverse Poisson - linear combinations of normally distributed independent variables eg aX + bY and X1 + X2 + X3 + X4..... + Xn - selecting and justifying the use of a model. ||
 * || ======**Achievement Criteria**====== || ======**Explanatory Notes**====== ||
 * == Achievement == || · Use probability distribution models to solve straightforward problems. || <span style="font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; msofareastfontfamily: Symbol; msobidifontfamily: Symbol; msolist: Ignore;">·  Distributions will include a selection from:
 * <span style="font-size: 12pt; font-family: Arial; mso-bidi-font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; mso-ansi-language: EN-NZ; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">
 * **Achievement with Excellence** || <span style="font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; msofareastfontfamily: Symbol; msobidifontfamily: Symbol; msolist: Ignore;">· Use and justify probability distribution models to solve complex problems. || <span style="font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; msofareastfontfamily: Symbol; msobidifontfamily: Symbol; msolist: Ignore;">·  Problems may include: