1.expected value of a discrete random variable X(离散随机变量的预期值):E(X)=u=求和符号xP(X=x) 2.Binomial distribution Mean(二项分布平均值) 3.Standardized normal variable(标准化变量) 4.条件概率和独立事件 5.po
Formula for the Expected Value of a Binomial Random Variable The formula for the Expected Value for a binomial random variable is: P(x) * X. X is the number of trials and P(x) is the probability of success. For example, if you toss a coin ten times, the probability of getting a ...
Suppose Random Variable X has the pdf f(x)=\begin{cases} x\atop4 & \text{if 1 < x < 3} \\\ 0 & \text{otherwise} \end{cases} a) Find the expected value of What is the value of c, a value from the t-distri...
A random variable doesn't have an expected value if its calculation give infinity. (i.e., if the random variable X has expected value E(X)=infinity; X doesn't have an expected value.) Which of the fol Let X and Y are two random variables. The ...
The expected value of a discrete random variable is the product of the probability and the number of trials. Therefore, if the probability of an event happening is p and the number of trials is n, the expected value will be n*p. Is the expected value the same as the expected ...
Artem has a doctor of veterinary medicine degree. Cite this lesson A continuous random variable deals with measurements with an infinite number of likely outcomes. Define random variables and learn how to compute and to interpret the expected value of a continuous random variable with the ...
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To answer a question like this we need the concept of expected value. The expected value can really be thought of as the mean of a random variable. This means that if you ran a probability experiment over and over, keeping track of the results, the expected value is theaverageof all the...
The basic initial step in deriving such expected values and variances, without, the use of infinite series expansions, lies in the establishment of an identity by the simple division of unity by a binomial expression which is a linear function of the random variable in the denominator of the ...
The main difference between a binomial distribution and a geometric distribution is that the number of trials in a binomial distribution is fixed. The random variable shows the number of successes in those trials. However, in a geometric distribution, the random variable counts the number of trials...