OCR S2 2009 January — Question 1 4 marks

Exam BoardOCR
ModuleS2 (Statistics 2)
Year2009
SessionJanuary
Marks4
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicApproximating the Binomial to the Poisson distribution
TypeState Poisson approximation with justification
DifficultyModerate -0.8 This is a straightforward application of the Poisson approximation to the binomial distribution with clear parameters (n=800, p=0.005, np=4). The question requires only recognizing the standard conditions (large n, small p), calculating λ=np, and finding P(X≤6) from tables—all routine S2 techniques with no problem-solving insight needed.
Spec5.02i Poisson distribution: random events model5.02j Poisson formula: P(X=x) = e^(-lambda)*lambda^x/x!5.02k Calculate Poisson probabilities

1 A newspaper article consists of 800 words. For each word, the probability that it is misprinted is 0.005 , independently of all other words. Use a suitable approximation to find the probability that the total number of misprinted words in the article is no more than 6 . Give a reason to justify your approximation.

1 A newspaper article consists of 800 words. For each word, the probability that it is misprinted is 0.005 , independently of all other words. Use a suitable approximation to find the probability that the total number of misprinted words in the article is no more than 6 . Give a reason to justify your approximation.

\hfill \mbox{\textit{OCR S2 2009 Q1 [4]}}