Huge Multi Part Prob + Stats question from past paper

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SUMMARY

The discussion centers on a probability and statistics problem involving two secretaries, A and B, with distinct Poisson distributions for misprints on typed pages. Secretary A has a mean misprint rate of 0.3, while Secretary B has a mean of 1.2. Key calculations include finding the probability that a page typed by Secretary B contains more than one misprint, determining the overall proportion of pages with no misprints, and using conditional probability to ascertain which secretary is more likely to have typed a page with two misprints. Additionally, the distribution of pages without misprints in a book typed by Secretary A is identified as Binomial, which can be approximated by a Normal distribution for large sample sizes.

PREREQUISITES
  • Understanding of Poisson distribution and its properties
  • Knowledge of conditional probability and its applications
  • Familiarity with Binomial distribution and its approximation to Normal distribution
  • Basic statistical calculation skills, including the use of probability mass functions
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  • Study Poisson distribution applications in real-world scenarios
  • Learn about conditional probability and Bayes' theorem
  • Explore the Central Limit Theorem and its implications for approximating distributions
  • Practice problems involving Binomial and Normal distributions for better understanding
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Students preparing for statistics exams, educators teaching probability theory, and anyone interested in applying statistical methods to real-world problems involving distributions and probabilities.

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A university department has 2 secretaries (labelled A and B) who do all the word processing
required by the department. The number of misprints on a randomly sampled
page typed by secretary i (i=A,B) has a Poisson distribution with Mean Ui independent
of the number of misprints on any other page, where Mean Ua = 0.3 and Mean Ub = 1.2.Assume that each page is typed entirely by a single secretary. Of the typing required
by the department, 75% is done by secretary A and 25% by secretary B.(a) Find the probability that a randomly sampled page typed by secretary B contains
more than 1 misprint. [2 marks](b) Calculate the overall proportion of pages produced by the department that contain
no misprints. [3 marks](c) Suppose that a randomly sampled page produced by the department is found to
contain 2 misprints. Given this information, calculate the probability that this
page was typed by secretary A, Hence which secretary is most likely to have typed
the page concerned? [5 marks] A book typed entirely by secretary A consists of 200 pages.
(i) Let X be the number of pages in the book that contain no misprints. Name
the (exact) distribution of X. Find approximately the probability that at
least 150 pages in the book are without misprints. [5 marks](ii) Find approximately the probability that the book contains at most 50 misprints
in total.Attempt At soultions:

a) Using P(x=K) = (e^-u* u^k)/k! , I get the probability for X=0, X=1 add them and subtract from 1?

b) 0.25* Prob X=0 from part 1 + same thing for Sec A * 0. 75

c) Conditional prob. I am happy with this one.

d) i) I think this is a normal distribution.

Now if its a normal distribution, mean number of errors per page = 0.3 so number of errors in 200 page will be 60.

But how do I find The prob of 150+151...200 :S I am very confused and would love some help as my exam is on wednesday!

Thanks!
 
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(d)(i): A page either has a misprint or it does not. Since each page has misprints independently of any other page, the number of pages which have no misprints in a book of n pages typed by Secretary A follows a \operatorname{Bin}(n, e^{-U_A}) distribution. For a large number of pages this can be approximated by an N(ne^{-U_A},ne^{-U_A}(1 - e^{-U_A})) distribution.
 

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