Suppose that {X₂} are real valued random variables and that Xn a.s., X for some X so that |X| < ∞ almost surely. Show that Y = supn Xn is finite almost surely.
Q: Independence). (i) Recall that given events A, B,C, we have that P(AUBUC) = P(A)+ P(B)+ P(C) – P(An…
A: Hello! As you have posted 3 different questions, we are answering the first question. In case you…
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Q: Q2) Let X, Y be i.i.d with binomial PMF. Find PMF ofU= X+Y and W = X-Y.
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A: i) We know that the total probability is= 1 Using that idea we get:
Q: OExpand -7(y – 12)
A: For expand we have to multiply 7 inside. So 7 will be multiply by y and 12.
Q: 10. Suppose {Xn, n ≥ 1} are independent random variables. Show P[sup Xn M] < 0o, for some M. n
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A: @solution::: thank you for asking this plz upvote me ??.. you are solution is next step ..
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- Dr. Ahmed wants to study the relationship between blood pressure and heartbeat irregularities in his patients from the past weeks. He tests a random sample of his patients and notes their blood pressures (high, low, or normal) and their heartbeats (regular or irregular). He finds that: ) 61% have high blood pressure. (i) 14% have low blood pressure. (ii) 24% have an irregular heartbeat. (iv) Of those with an irregular heartbeat, one-third have high blood pressure. (v) Of those with normal blood pressure. one-fifth have an irregular heartbeat. a. What is the percentage of the patients selected have a regular heartbeat and low blood pressure? b. What is the percentage of the patients selected have an irregular heartbeat and normal blood pressure?In rolling a fair die once, what is theprobability of rolling a 2 or an oddnumber? show solution2.6. Let (2, F, P) be a probability space and let A1, A2,... be sets in F such that P(Ag) < ∞ . k=1 Prove the Borel-Cantelli lemma: P(N U Ak) = 0, m=1 k=m i.e. the probability that w belongs to infinitely many A{s is zero.
- 4) Let X and X1, X2, ... be random variables. Then - Xn 4 X as n → ∞ + E → 0 as n → 0. 1+|Х, — |x - "x|The joint probability function of two discrete random variables X and Y is given by Ax,y) = c(2x+y), where x and y can assume all integers such that 0< xA discrete source has 8 symbols x-[x1, x2, x3, x4, x5, x6, x7, x8] with probability P- [1/4, 1/4, 1/8, 1/8, 1/16, 1/16, 1/16, 1/16]. Find info content in each symbol then calculate the entropy.
- Pls helpi) Let X be an integrable random variable on (2, F, P) and G be a sub o-field of F. State the definition of the conditional expectation of X given G.Consider the model Yi = Bo+ Bi Xite where X₂ = {0, 1}, that is it is a binary predictor. Using the formulae Σ(X-X) (Yi-Y) Σ (X - x)” Then show it simplifies to (2ii): show that and using the notations that n is the sample size, no is the number of observations that X₁ = 0, n₁ is the number of observations that X; = 0. It is easy to see that X = n₁/n and the sample average for the 0-group Yo = Σi:z:=oYi/no and sample average for the 1-group Y₁ = E=1 Yi/m₁. =0 Show the following results: (2i): First show 3₁ 3₁ = = B =Ỳ - BÀ no(0)(Yo - Y) + ¹₁(1 − ¹)(Ỹ₁ − Ỹ) no(-²+₁(-1) ² 3₁ = Y₁ - Yo- Bo = Yo.
- 1. (Independence). (i) Recall that given events A, B,C, we have that P(AUBUC) = P(A)+ P(B)+ P(C) – P(An B) – P(AnC)– P(BnC) + P(AN BnC). (4.1) Prove that whenever events A, B,C are mutually independent, we have that P(AUBUC) = 1– P(A^)P(B^)P(C*) = 1– (1– P(A)) · (1 – P(B)) · (1 – P(C)) (and the probability in question can be calculated considerably faster than with the use of the formula (4.1)). (ii) The probability that A hits a target is 2/5, the probability that B hits it is 5/9, and the probability that C hits the target is 3/7. Use (i) to find the probability that the target will be hit if A, B, and C each shoot at the target. (iii) Suppose that the probability that a soldier firing his personal weapon hits an enemy warplane is p > 0. Show then, arguing as in (i), that the probability that the warplane is hit at least once when n > 2 soldiers shoot at it is 1- (1 — р)". (4.2) Evaluate the probability in (4.2) in the case when p = 0.0006 and n = 750, and then round your result to a…be i.i.d. random variables with expectation 1 and finite 34. Let X1, X, variance o, and set S, = X1+ X2 +-+X,, for n21. Show that VS,-Vn N (0,6*) as and determine the constant 6. and positive, finiteIf A = (1)--[] 10 is v = 5 in null(A)? O v is in null(A). Ov is not in null(A).