The following table represents the probability distribution of the discrete random variable X.The measure of the random variable x(E(x)) is:Conce17 Accesibilidad: todo correcto79 F X P(X=x)0 0.111 0.192 0.23 0.27關O230.23

Given PMF of X. Now will using this pmf to find required information .

Answered: The following table represents the…

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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Suppose that the random variable , shown below, represents the number times. P(x) represents the probability of a randomly selected person having received that number of speeding tickets during that period. Use the probability distribution table shown below to answer the following questions. 43 x 0 P(x) 0.2951 0.2587 1 2 0.1924 0.1604 P(x > 0) 0.7049 = 3 4 a) What is the probability that a randomly selected person has received five tickets in a three-year period? P(x = 5) = 0.0442 b) What is the probability that a randomly selected person has received one tickets in a three-year period? P(x = 1) 0.2587 P(x≤1)=1 5 6+ c) What is the probability that that a randomly selected person has received more than zero tickets in a three- year period? 0.0492 0.0442 0.0000 > Next Question d) What is the probability that that a randomly selected person has received one or less tickets in a three-year period? Enter an integer or decimal number [more..]
Let X be a random variable that can take the values 2, 9, or 13. And let f(x) be its probability distribution. Find the variance of the random variable X, given that its probability distribution is f(2) = 0.1 f(9) = 0.4 f(13) = 0.5 Round your answer to an integer.
As you walk into your econometrics exam, a friend bets you $10 that she will outscore you on the exam. Let ✗ be a random variable denoting your winnings. X can take the values 10, if you win teh bet, 0 if there is a score tie, or -10 if you lose. You know that the probability distribution for ✗ is denoted by f(x) and it depends on whether she studied for the exam or not. Let Y be the random variable that indicates if she studied, Y = 0 if she studied and Y = 1 if she did not study. The following table denotes the joint distribution of X and Y : Y=0 Y=1 f(x) X = -10 0.18 P1 P2 X = 0 0 P3 0.3 X = 10 P4 0.45 P5 f(y) P6 0.75 Probabilities P1, P2, P3, P4, P5, P6 are not displayed in the table. Answer the following items: (a) (b) (a) Compute the Probabilities P1, P2, P3, P4, P5, P6 of the table. (b) Compute the expectation E(X). Should you take the bet? (c) What is the probability distribution of your winnings if you know that she did not study, namely, P(X = −10|Y = 1), P(X = 0|Y = 1), P(X…
Suppose that the random variable xx, shown below, represents the number of speeding tickets a person received in a three-year period. P(x)P(x) represents the probability of a randomly selected person having received that number of speeding tickets during that period. Use the probability distribution table shown below to answer the following questions. xx P(x)P(x) 0 0.3891 1 0.281 2 0.1497 3 0.098 4 0.0471 5 0.0351 6+ 0.0000 Would it be unusual to randomly select a person who has received four or more tickets in a three-year period? A. Yes B. NoIs it correct answer B?
The joint probability distribution for the Random variable X and Y is shown below where X = the number of Strawberry ice-cream cones in the freezer Y = the number of Chocolate ice-cream cones in the freezer y p(x, y) 1 2 .025 .015 .010 .050 .030 .020 .075 090 .125 .050 150 060 012
Let the random variable X denote the age of a female groundhog, and let the random variable Y denote the total number of offspring it has had. The joint probability distribution for X and Y is given by the above table. Find the correlation coefficient ρX,Y
The following table provides a probability distribution for the random variable Y. (Need breakdown of how variance and standard deviation was calculated) Y f(Y) 2 0.20 4 0.30 7 0.40 8 0.10 a. Compute E (Y) (to 1 decimal). b. Compute Var(Y) and Standard Deviation for Y (to 2 decimals).
Three fair dice are rolled. Let the random variable X be the number of die that are showing a roll of 1. Complete the probability distribution table. X P(X=X 0 1 2 3 Find the mean of this probability distribution E(X)=
The Sarasota Police department collected data on the number of car accidents (X ) that occur each day on a certain stretch of route 41. From this data, they derived the probability distribution shown in the table below. X P(X) 0.80 1. 0.15 0.05 What is the expected mean (average) number of accidents that occur each day? O 0 50 1.00 O 0.33 O 0.25 O o O
Suppose the probability distribution of x, the number of defective tires on a randomly selected car checked at a certain inspection station, is given in the following table. x 0 1 2 3 4 p(x) 0.52 0.18 0.05 0.03 0.22 (a) Calculate the mean value of x. (b) What is the probability that x exceeds its m
Let X be a random variable with the following probability distribution.Calculate the following Find the expectation E (X) of XE (X) =? Find the variance Var (X) of X.Var (X) =?
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The following table represents the probability distribution of the discrete random variable X. The measure of the random variable x(E(x)) is: