X = 0234Y = 11/321/321/321/1631/321/321/161/1641/321/161/161/1651/161/161/83/16Find Marginal PMF of Y = 5Select one:а. 7/16b. 5/16c. 3/16Created 616 EASOFT LTD.

Given , the joint distribution of X and Y is , x = 0 2 3 4 Y = 1 1/32 1/32 1/32 1/16 3…

Answered: X = 0 2 3 4 Y =1 1/32 1/32 1/32 1/16 3…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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2. The data below obtained from the experiment: 1.5 1.8 2.4 2.7 3.2 3.6 f(x) | 0.7555 | 0.6206 | 0.5052 0.4812 0.4498 | 0.4337 This data can be fitted to the curve y = where C and D are C + Dx constants. a. Show that the curve above can be written as D+-. b. Hence, by using the least squares linearization process, determine the value of C and D. Start your calculation with S= ΣΥ- Y(X)> i=0 where S is the total squares error. c. Estimate the value of f (2.5) based on the results obtained in part (b).
13. According to a study of Western-built commercial jets involved in edcrashes from 1988 to 1998, the percent of airplane crashes that occur at each stage of flight are as follows: o cces. brs.921L 09 16 OP id mo ni bePercent quO Phase 4 +olhakw.norno A(A) 10 On ground, taxiing During takeoff 19 Climbing to cruise altitude (A MO CODLE 5 En route (B) EXSCG OUg orPu Descent and approach t6M 6 31 981u00 2ts3193 ns 1biel Landing (B) If one of the doomed flights in the period 1988 to 1998 is picked at random, what is the probability that it crashed (A) While taxi ing on the ground or while en route? XSA na ed bei ert: ()8 61 (B) During takeoff or landing? 20 ggeaos l C0I06 1o 1nso oo jontW A) Sa0 0 men U ni s an: (C) If the study is indicative of airplane crashes in general, when is the risk of a plane crash the highest? ANSt belceup OLOT(K) W (8) S10 210 (C)A Tace d is drawn
in c nurmal disribution X= S and Z= -1.23 thờ tlis Yon that X-5 the mean Stardard devictens to The
You are given:
*27. Suppose that “the process going out of control" corresponds to a shift of the mean from μ to μ + σ vith probability.25 , μ+ 2σ with probability .25, μ- σ with probability .25, and µ – 20 with probability .25. What modifications in the model are required? In particular, if we write the shift in the form µ ± 8o, show how to compute B1 and B2 that would correspond to values of ô = 1 and ô = 2, respec- tively. If the out-of-control costs were now represented by az when ô = 1 and a4 when ô = 2, determine an expression for the average annual operating costs. (As- sume all other costs and system parameters remain the same.)
In multiple regression, the R2 increases whenever a regressor is Group of answer choices 1. added unless there is heterosckedasticity. 2. greater than 1.96 in absolute value. 3. added. 4. added unless the coefficient on the added regressor is exactly zero.
d. 6 e. None 8. Let X have a negative binomial distribution with r and P-0.6. If the mean of X is 5 then r equal a. 1.8 b. 0.83 c. 3 d. 9 e. None 10. The variable X has a uniform distribution on th 2113 Assume that X has an exponential distribution. If Var (4-)=20. Then E(X) is b.0 a. 20 0.5 d. 10 e. None
Q2. If x is a value of a r.v. X having an exponential distribution with mean 0, find the constant c such that the interval from 0 to cx is a 100(1 – a)% C.I. for the parameter 0
y x1 x2 x3 x40.8 44711 739 586 7.41.6 27896 690 526 12.51.5 25435 728 566 29.61.4 31889 549 338 22.61.1 37503 931 825 19.61.4 32822 678 506 7.81.9 22833 923 820 10.70.9 36000 822 677 33.71.6 23497 405 146 23.31.7 25285 678 506 13.5
14. Show that for the Gamma distribution e dp = dx, 0
Do problem 5,6 in detail with explaination
MTH141

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X = 0 2 3 4 Y =1 1/32 1/32 1/32 1/16 3 1/32 1/32 1/16 1/16 4 1/32 1/16 1/16 1/16 5 1/16 1/16 1/8 3/16 Find Marginal PMF of Y = 5 Select one: O a. 7/16 b. 5/16 C. 3/16 Crea 1/16EASOFT LTD.