The probability of Andy and Anna having lunch together is 40%. The probability of them having lunch together at least six days a week is _______ and the probability of having lunch exactly 6 times in a week is______ 1st Blank 2nd Blank A) .081 A).24 B).091 B).083 C).002 C).017
1. Assume lunching together each day is independent of whether they ate together the previous days or the next days. 2. p=probability of having lunch together in a particular day. 3. p does not change over the entire week 4. each trial (day) is a Bernoulli trial (i.e. either eat together or not eat together) then we can apply Binomial Probability with parameters p=0.4, n=7 (days). Let k=exactly number of days they lunched together P(r)=C(n,k)p^k (1-p)^(n-k) where C(n,k)=n!/(k!(n-k)!) B. lunched together exactly 7 days, set k=6, C(n,k)=7!/(7!0!)=1 P(7)=1(0.4)^7(0.6)^0=0.0016384 A. at least 6 days means either 6 days or 7 days. So add the probabilities P(6)+P(7) to get the answer.
I got .0208 Is that right ?
How did you get P(6), did you do C(7,6)*(0.4^6)*(0.6^1) ?
Well would you use both the 7 and the 6 in C(7,6) or would it be (7)*(0.4^6)*(0.6^1) and then (6)*(0.4^7)*(0.7^1)?
Do not forget the term C(n,k), and recall C(7,7)=7!/(7!0!)=1, and C(7,6)=7!/(6!1!)=7 because C(n,k)=n!/(k!(n-k)!)
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