probability distribution of discrete random variables 3.The Metro Manila Development Authority (MMDA) is investigating the number ofreported road accidents over a period of one month. Based on the record, they gatheredthe following distribution for x; where x is the number of reported accidents per month.AccidentsP(x)x· P(x)(x – 4)² · P(x)Reported0.0510.4020.2530.2040.10TotalMean =Variance =%3DStandard Deviation =

Formula : Mean = Σx*P(x) Variance = Σ(x-u)2P(x)

Answered: The Metro Manila Development Authority…

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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View Policies Current Attempt in Progress State whether the process described is a discrete random variable, is a continuous random variable, or is not a random variable. Draw 11 cards from a deck and count the number of spades. O Discrete random variable Not a random variable O Continuous random variable Save for Later Last saved 1 second ago. Saved work will be auto-submitted on the due date. Auto- submission can take up to 10 minutes. Attempts: 0 of 1 used Submit Answer
Question 5 of 15 0/1 View Policies Show Attempt History Current Attempt in Progress X Incorrect. What is the difference between the probability distribution of a discrete random variable and that of a continuous random variable? Select each correct answer. A discrete random variable has countable values, a continuous random variable has values that are not countable. A continuous random variable has countable values, a discrete random variable has values that are not countable. The probability that a continuous random variable x assumes a value within a certain interval is given by the area under the curve between the two limits of the interval. For a discrete random variable the value is given by the summation of values between those two points. The probability distribution of a continuous random variable assigns probabilities to points while that of a discrete random variable assigns probabilities to intervals. The probability distribution of a discrete random variable assigns…
Binomial distribution, expected value and variance Find the expected value (mean), the variance, and the standard deviation for each of the following cases for a binomial random variable X. a) binomial X, with n = 25 and p = 0.3 b) binomial X, with n = 86 and p = 0.6 BONUS(3): Consider th case of a binomial random variable with n = 48 and p = 0.25. Find the range of Z-scores corresponding to the following range of values for X: 8.5 <= X <= 15.5
Maximum Likelihood Estimator (MLE) Poisson Distribution (a) A call center receives calls with a poisson distribution with an average of calls per hour. Let X₁, X2,... Xn be a random sample, then find the MLE of of the Poisson distribution. (b) Suppose we observe 10, 15, 25, 10, 30 for 5 randomly selected hours, what is the MLE
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-(True or false) One of the Characteristic of a continuous random variables is “Probabilities are based on intervals, not on an individual value. -(True Or false) One of the Characteristics of the Normal Probability Distribution is “The distribution is bell-shaped and symmetrical around the variance.” (True or False) In Normal Probability Distribution, if µ increased, the curve will move to the left. (True or false) Any normal distribution (x) with mean µ and standard deviation σ can be transformed into the standard normal distribution (z) with µ=1 and σ =0

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