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A series of practice problems related to probability distributions and random variables. The problems cover a wide range of topics, including calculating probability mass/density function parameters, moments, and functions of random variables, as well as finding expected values, variances, and other statistical measures. The problems are designed to test the student's understanding of concepts such as discrete and continuous probability distributions, joint probability functions, and the properties of random variables. By working through these problems, students can develop their skills in applying probability theory to real-world scenarios and gain a deeper understanding of the underlying principles. The document could be useful for university students studying courses in probability, statistics, or related fields, as well as high school students preparing for advanced mathematics exams.
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Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI) Faculty of Engineering Sciences (FES) ES 202 Spring 2023 Practice Assignment 2b CLO 2 : Calculate probability mass/density function parameters, moments and functions of random variables. Q 1. Let X be a random variable with the following probability distribution ๐ฅ - 3 6 9 ๐(๐ฅ) 1 / 6 1/ 2 1/ Find ๐๐(๐), where ๐(๐) = ( 2 ๐ + 1 )^2 Q 2. A large industrial firm purchases several new word processors at the end of each year, the exact number depending on the frequency of repairs in the previous year. Suppose that the number of word processors, X , purchased each year has the following probability distribution: ๐ฅ 0 1 2 3 ๐(๐ฅ) 1 / 10 3 / 10 2 / 5 1/ If the cost of the desired model is $1200 per unit and at the end of the year a refund of 50 ๐^2 dollars will be issued, how much can this firm expect to spend on new word processors during this year? Q3. The hospitalization period, in days, for patients following treatment for a certain type of kidney disorder is a random variable Y = X + 4, where X has the density function ๐(๐ฅ) = {
Find the average number of days that a person is hospitalized following treatment for this disorder. Q4. Suppose that the probabilities are 0.4, 0.3, 0.2,and 0.1, respectively, that 0, 1, 2, or 3 power failures will strike a certain subdivision in any given year. Find the mean and variance of the random variable X representing the number of power failures striking this subdivision.
Q 5. Suppose that X and Y have the following joint probability function: ๐(๐ฅ, ๐ฆ)
(a) Find the expected value of ๐(๐, ๐ ) = ๐๐^2 (b) Find ๐๐ and ๐๐ Q6. Suppose that a grocery store purchases 5 cartons of skim milk at the wholesale price of $1.20 per carton and retails the milk at $1.65 per carton. After the expiration date, the unsold milk is removed from the shelf and the grocer receives a credit from the distributor equal to three-fourths of the wholesale price. If the probability distribution of the random variable X , the number of cartons that are sold from this lot, is ๐ฅ 0 1 2 3 4 5 ๐(๐ฅ) 1 / 15 2 / 15 2 / 15 3 / 15 4/15 3/ find the expected profit. Q.7 For a laboratory assignment, if the equipment is working, the density function of the observed outcome X is ๐(๐ฅ) = {
Find the variance and standard deviation of X. Q.8 The density function of the continuous random variable X , the total number of hours, in units of 100 hours, that a family runs a vacuum cleaner over a period of one year, is given as ๐(๐ฅ) = {