### CFA Practice Question

There are 434 practice questions for this study session.

### CFA Practice Question

If the number of days in a 92-day summer period in which a thunderstorm occurred is 28, then a 90% confidence interval for the percentage of days in summer that have thunderstorms, p, is ______ (to nearest 0.1%).
A. 21.0% < p < 39.8%
B. 25.6% < p < 35.2%
C. 22.5% < p < 38.3%
Explanation: The confidence interval is p' - E < p < p' + E. Let x count the number of days with thunderstorms; p' is x/n = 28/92 = 0.304. The computation of E is shown at the top right. So, E = 0.079 and the confidence interval is 22.5% < p < 38.5%. User Comment
schandri how do we get sqrt(n) in the denominator??
isn't variance n.p.(1-p)??
dealsoutlook i dont get this answer..can someone please explain. Shouldn't variance be np(1-p) like the schandri posted and then we calculate sd for it? And then CI would be mean +- 1.96 (std error)? Please expain
uberstyle This question is killing me. Why is n not included in the numerator? Is it because .304 is in terms of percentage of success, but an np(1-p) would be in terms of days, thus a .304 +_z(SE) would be combining of non-like units?
shavkat They are apparently treating this as a Bernoulli trial, for which variance would be p(1-p). My question is then, how to decide, when to use Bernoulli trials and when Binominal distribution to calculate mean and variance?
Criticull tough one
Mariecfa This question deals with proportions instead of means. The proportion is 28/92=.304. You would use n the denominator in the equation to find the mean but not for a proportion.

This can be very tricky. That is why it is important to know if they are asking to find the proportion, the mean on the variance to set up the correct equation.
prajacti i think you have to use bernoulli trial to find the std dev [sd = sqrt p(1-p) in a bernoulli trial] and then used the regular confidence interval formula. trick is to understand how to calculate std dev
atemple315 Hmm - I'm going to have to guess this - way tooo late to try and remember this formula. It just isnt sinking in!!