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1. What is the value of Φ(0)?
2. Φ is the pdf for N(0, 1); calculate the value of Φ(1.5).
3. Suppose X ~ N(0, 1). Which, if either, is more likely: .3 ≤ X ≤ .4, or .7 ≤ X ≤ .8? Explain your answer (you do not need to calculate these values).
4. Draw and label the graphs of the pdf (together, on one set of axes) of N(0,1) and N(-1, 2). Your graphs should display how the different parameters of the two distributions affect the pdfs.
The logarithm of the Poisson mixture likelihood (3.10) can be calculated with the following R code: sum(log(outer(x,lambda,dpois) %*% delta)), where delta and lambda are m-ve
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1. The number of accidents attended to by 6 emergency ambulance stations during a 5 month period was: Station May June July Aug Sep A 21 20 22 37 37
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