EBK STATISTICAL TECHNIQUES IN BUSINESS
17th Edition
ISBN: 9781259924163
Author: Lind
Publisher: MCGRAW HILL BOOK COMPANY
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Chapter 20, Problem 7E
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(c) Utilize Fubini's Theorem to demonstrate that
E(X)=
=
(1- F(x))dx.
(c) Describe the positive and negative parts of a random variable. How is the
integral defined for a general random variable using these components?
26. (a) Provide an example where X, X but E(X,) does not converge to E(X).
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- (b) Demonstrate that if X and Y are independent, then it follows that E(XY) E(X)E(Y);arrow_forward(d) Under what conditions do we say that a random variable X is integrable, specifically when (i) X is a non-negative random variable and (ii) when X is a general random variable?arrow_forward29. State the Borel-Cantelli Lemmas without proof. What is the primary distinction between Lemma 1 and Lemma 2?arrow_forward
- The masses measured on a population of 100 animals were grouped in the following table, after being recorded to the nearest gram Mass 89 90-109 110-129 130-149 150-169 170-189 > 190 Frequency 3 7 34 43 10 2 1 You are given that the sample mean of the data is 131.5 and the sample standard deviation is 20.0. Test the hypothesis that the distribution of masses follows a normal distribution at the 5% significance level.arrow_forwardstate without proof the uniqueness theorm of probability functionarrow_forward(a+b) R2L 2+2*0=? Ma state without proof the uniqueness theorm of probability function suppose thatPandQ are probability measures defined on the same probability space (Q, F)and that Fis generated by a π-system if P(A)=Q(A) tax for all A EthenP=Q i. e. P(A)=Q(A) for alla g // معدلة 2:23 صarrow_forward
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