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Subject:
statistics
Category: Business and Money > Economics Asked by: jabeda-ga List Price: $5.00 |
Posted:
29 Oct 2003 17:16 PST
Expires: 28 Nov 2003 17:16 PST Question ID: 270958 |
X is normal random variable mean = 20 STD dev. = 4 find Prob. P(X<29) P(X=40) P(14<X<=29) REGARDS JABEDA |
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Subject:
Re: statistics
Answered By: livioflores-ga on 29 Oct 2003 21:36 PST Rated: ![]() |
Hi jabeda!! We must start with the transformation of the normal random variable M into the standard normal variable Z: Za = (a - mean)/ SD ; After that using the Normal distribution tables you can calculate what you want: P(X < a) = P(Z < Za). For a table see: "Normal Distribution Table": http://people.hofstra.edu/faculty/Stefan_Waner/RealWorld/normaltable.html For reference see the following page: "USING THE STANDARDIZED NORMAL DISTRIBUTION TABLE": http://myphliputil.pearsoncmg.com/student/bp_berenson_bbs_9/section6_1.pdf -------------------------------------------------- P(X<29): Z = (29 - 20) / 4 = 9/4 = 2.25 P(X < 29) = P(Z < 2.25) = P(Z < 0) + P(0 =< Z < 2.25) = = 0.5 + 0.4878 = (see the table) = 0.9878 ---------------------------------------------------- P(14<X<=29): Z1 = (14 - 20) / 4 = -7/4 = -1.75 Z2 = (29 - 20) / 4 = 9/4 = 2.25 P(14 < X <= 29) = P(-1.75 < Z =< 2.25) = = P(-1.75 < Z < 0) + P(0 < Z < 2.25) = = P(0 < Z < 1.75) + 0.4878 = = 0.4599 + 0.4878 = (see the table) = 0.9477 ------------------------------------------------------ P(X = 40) = 0 This is because for a continuous random variable the probability for assuming any specific value is zero. P(X = x) = 0 for all x, that means the probability distribution of a continuous random variable cannot be represented by its point probabilities (as in the discrete case). "...Is it true that P(X = a) is zero for every number a in the interval associated with X? Answer: As a general rule, yes. If X is a continuous random variable, then X can assume infinitely many values, and so it is reasonable that the probability of its assuming any specific value we choose beforehand is zero." From "Calculus Applied to Probability and Statistics" by Stefan Waner and Steven R. Costenoble: http://people.hofstra.edu/faculty/Stefan_Waner/cprob/cprob1.html ---------------------------------------------------------- I hope this helps you. Feel free for ask for request for an answer clarification if it is needed. Best regards. livioflores-ga |
jabeda-ga
rated this answer:![]() thank you very much for your quick response and clarification regards jabeda |
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