Expected value of discrete random
[DOC File]A random variable is a numerically valued function defined ...
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Let X = the weight of the bag. Find the expected value and the standard deviation of the random variable, X. B) The weight in . pounds (1 pound = 16 ounces) of medium-sized tomatoes selected at random from a bin at the local supermarket is a random variable Y. Determine the expected value and standard deviation of the random variable Y.
Expected value (of a discrete random variable) | NZ Maths
We multiplied each such value by the probability that it occurs, and added up the results. This procedure works in general for discrete random variables, and is our real definition of expected value. Definition. For any discrete random variable X, the expected value of X, written E(X), is computed as follows: 1.
[DOC File]6 - THU
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The Expected Value Function is defined to be E [ g(X) ] = Notes and Comments. 1. E [(] is a function, whose argument is (. 2. The E [(] function is interpreted as an “averaging” function. That is, whatever you find the expected value of, the resulting expected value is the “average” of that value.
[DOC File]Activity: Friendly Observers
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Similarly, the expected value of the random variable . Y. is . Formula for the expected value of a discrete random variable: Let be all the possible values of the discrete random variable X and is the probability distribution. Then, the expected value of the discrete random variable X is . Note: As the grouped data available are . with frequencies
[DOC File]Discrete Random variables Worksheet
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Example 4.17: Expected value of discrete random variable. Example 4.18: Expected value of continuous random variable. Selected textbook problem (pp. 112) Q3 Expected profit. 4.1. Mean of a Single Random Variable. EXAMPLE 4.3. Let X be a Random variable that denotes the life in hours of a certain electronic device and density function is. f(x ...
[DOC File]PROBABILITY AND EXPECTED VALUE - Fulshear, Texas
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Expected Value of a Discrete Random Variable The expected value of a r.v. is its mean (i.e., the mean of its probability distribution). For a discrete r.v. X, the expected value of …
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