Answer:
a. 
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b. 
Step-by-step explanation:
By the definition, the expected value of a random variable X with probability mass function p is given by 
where the sum runs over all the posible values of X. Given a function g, the random variable Y=g(X) is defined. Note that the function g induces a probability mass function P' given by P'(Y=k) = P(X=g^{-1}(k)) when the function g is bijective.
a. Note that for 1/3ln(2)+1/6ln(5) by choosing the function g(x) = ln(x) the expression coincides with E(g(x)), because if Y = g(x) then E(Y) = P'(Y=1)*ln(1)+P'(Y=2)*ln(2)+P'(Y=5)*ln(5) = P(X=1)*ln(1)+P(X=2)*ln(2)+P(X=5)*ln(5).
b. On the same fashion, the function g(x) = xe^{xt} fullfills the expression of E[g(X)]
Greatest To Least 1. AC 2. BC 3. AB
3<em>x</em> ² - 2<em>x</em> + 1 = 2<em>x</em> ² - 3<em>x</em> + 7
<em>x</em> ² + <em>x</em> - 6 = 0
(<em>x</em> + 3) (<em>x</em> - 2) = 0
<em>x</em> + 3 = 0 <u>or</u> <em>x</em> - 2 = 0
<em>x</em> = -3 <u>or</u> <em>x</em> = 2
Answer:It is $2 markup price.
Step-by-step explanation:
Answer:
There are two types of exponential functions: exponential growth and exponential decay. In the function f (x) = bx when b > 1, the function represents exponential growth.
Step-by-step explanation: Math websites man
