In this problem, we consider the probability distribution of a random variable X with:
• mean value μ_X = 40,
,
• standard deviation σ_X = 5.
Now, we consider the random variable Z defined as:
a. From probability theory, we know that a linear transformation of the type:
changes the mean value and the standard deviation in the following way:
In this case, we have a = 0 and b = 4, so we have that:
b. The sum Z = X + X + X + X = 4X represents a new random variable that is 4 times the original random variable X. So Z is a random variable obtained from a specific linear transformation of the original random variable X.
c. Because (X + X + X + X)/4 = X, this sum represents just the original random variable X.
d. To compute μ_Z/4 and σ_z/4, we take into account that:
So the values of μ_Z/4 and σ_z/4 are just:
Answers
a.
b. The sum Z = X + X + X + X = 4X represents a new random variable that is 4 times the original random variable X. So Z is a random variable obtained from a specific linear transformation of the original random variable X.
c. Because (X + X + X + X)/4 = X, this sum represents just the original random variable X.
d.