Concept explainers
Polonium. In the 1910 article “The
- a. exactly four.
- b. at most one.
- c. between two and five, inclusive.
- d. Construct a table of probabilities for the random variable Y. Compute the probabilities until they are zero to three decimal places.
- e. Draw a histogram of the probabilities in part (d).
- f. On average, how many alpha particles reach the screen during an 8-minute interval?
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- Q.2. A good approximation of the number of accident compensations the insurance company will have to payin a given year is given by the distribution:(A) Poisson (λ = 12) (B) Binomial (p = 0.4, n = 3 000) (C) Poisson (λ = 48)(D) N (12, σ2 = 12) (E) Binomial (p = 0.5, n = 3 000)arrow_forward1. Let X be a random variable having pdf f(x) = 6x(1 – x) for 0 < I < 1 and 0 elsewhere. Compute the mean and variance of X. 2. Let X1, X2,..., X, be independent random variables having the same distribution as the variable from problem 1, and let X, = (X1+ ·.+Xn). Part a: Compute the mean and variance of X, (your answer will depend on n). Part b: If I didn't assume the variables were independent, would the calculation in part a still work? Or would at least part of it still work? 3. Suppose that X and Y are both independent variables, and that each has mean 2 and variance 3. Compute the mean and variance of XY (for the variance, you may want to start by computing E(X²Y²)). 4. Suppose that (X,Y) is a point which is equally likely to be any of {(0, 1), (3,0), (6, 1), (3, 2)} (meaning, for example, that P(X = 0 and Y = 1) = }). Part a: Show that E(XY) = E(X)E(Y). Part b: Are X and Y independent? Explain. 5. Let X be a random variable having a pdf given by S(2) = 2e-2" for 0arrow_forward1. The random variables §, §1, §2,... are independent and identically distributed with 1/4 and P(§ = j) = c/j for j = 1,2,3. Let X₁ = 0 and Xn = max(§₁, ..., Èn) for n = 1, 2,.... distribution P(§ = 0) = (a) What value must c take? (b) Explain why {Xn, n = 0, 1, 2,...} is a Markov chain. (c) Write down the transition matrix. (d) Draw the transition diagram and classify the states (aperiodic, transient, re- current, eorgodic, etc). (e) Calculate P(Xn = 0). (f) Calculate P(X₁ = 3, X₂ = 1|X₁ = 3).arrow_forwardA researcher read that firearm-related deaths for people aged 1 to 18 years were distributed as follows: 74% were accidental, 16% were homicides, and 10% were suicides. In her district, there were 68 accidental deaths, 27 homicides, and 5 suicides during the past year. At α = 0.10, test the claimarrow_forward[30p] 1. The sample space S of a random experiment is given by S = {a,b, c, d, e, f, g} and !3! let A denote the event and A = {a, b, c, d} and B the event and B\A = {f.g) and %3D B'AA= {a, b)}. Pr (A') = 0.6, Pr(B) = 0.6, Pr(e) = 0.2 are known. Determine the %3D following probabilities: (a) Pr(A U B); (b) Pr(A'|B). {"\" set difference operator and "|" conditional probability}arrow_forward2.3. Let Y,, Y2, .,Yn denote a random sample from a density function given by ..... ye-y/e fyla, 8) = {T(2)02 0sy 0, elsewhere. 2.3.1. Find the MLE Ô of 0. 2.3.2. Find the expected value and variance of ê.arrow_forward4.1 The probability distribution of X, the number of imperfections per 10 meters of a synthetic fabric in con- tinuous rolls of uniform width, is given in Exercise 3.13 on page 92 as 1 2 3 4 f(x) | 0.41 0.37 0.16 0.05 0.01 Find the average number of imperfections per 10 me- ters of this fabric.arrow_forwardLet Y₁, Y₂, .. Yn denote a random sample from an exponential distribution with mean 0. a. Show that Ô1 = nY(1) and ĝ2 = Ỹ are unbiased estimators for 0. b. Find the efficiency of ₁ relative to 02. c. Which of these two estimators is superior?arrow_forwardIf the random variable X has the gamma p. d. f with integer parameter a and arbitrary > 0, then E(X) isarrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_ios
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill