İSTATİSTİK I
I The mean of a continuous random variable X is a weighted
average through the possible values of the random variable and associated probabilities.
II The mean of the continuous random variable is denoted by E (x).
III The mean is also called as expected value and denoted by μ.
IV The variance is denoted by V(x) or σ2.
f (x) = 0.02, for 0 ≤ x ≤ 50. What is the mean of the continuous random variable X ?
f (x) = 0.02, for 0 ≤ x ≤ 50. What is he variance of the continuous random variable X?
f (x) = 0.02, for 0 ≤ x ≤ 50. What is the standard deviation of the continuous random variable X?
II. the area under probability density function between points a and b is equal to 1
III. P(a ≤ X ≤ b) is equal to 1
Which of the statements should the probability density function satisfy?
II. If x1 ≤ x2 then F (x1) ≤ F (x2)
III. If x1 = x2 then F (x1) = F (x2)
Which of the given statements are considered the properties of the cumulative probability function?
II. The exponential random variable is defined with a parameter λ.
III. The exponential random variable X defines the time interval between two independent events.
Which one of the given statements can be said to be true about exponential distribution?
II. The standard normal distribution has a standard deviation σ = 1 of the distribution.
III. The area under the standard normal distribution function for P (z ≤ 4.25) is exactly 1.
Which of the given statements can be said to be true about the standard normal distribution function?