With Φ ( x ) being the probability that a normal random variable with mean 0 and variance 1 is less than x. which of the following are true: a. Φ ( − x ) = Φ ( x ) b. Φ ( x ) + Φ ( − x ) = 1 c. Φ ( − x ) = 1 Φ ( x )
With Φ ( x ) being the probability that a normal random variable with mean 0 and variance 1 is less than x. which of the following are true: a. Φ ( − x ) = Φ ( x ) b. Φ ( x ) + Φ ( − x ) = 1 c. Φ ( − x ) = 1 Φ ( x )
Solution Summary: The author explains that the correct option is "b". The normal distribution is a symmetrical distribution.
With
Φ
(
x
)
being the probability that a normal random variable with mean 0 and variance 1 is less than x. which of the following are true:
a.
Φ
(
−
x
)
=
Φ
(
x
)
b.
Φ
(
x
)
+
Φ
(
−
x
)
=
1
c.
Φ
(
−
x
)
=
1
Φ
(
x
)
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
Q prove or disprove: If Ely/x) = x = c(dipy
=BCCo
(BVC)
ECxly)=y, and E(X2), Ely)
In a small office, there are m = 5 typists who need to use a single typewriter to complete their reports. Assume the time
each typist takes to prepare a report follows an exponential distribution with an average of 20 minutes per preparation
(A = 3 reports/hour), and the service time for the typewriter to type out a report also follows an exponential distribution,
averaging 30 minutes to complete a report (μ 2 reports/hour). Given that the number of typists is finite and all typists
=
share one typewriter, they will form a waiting queue.
(1). Describe this queuing system and explain how it fits the characteristics of the M/M/1/∞0/m model.
(2). Calculate the probability that any typist is using the typewriter at steady-state.
(3). Calculate the average number of typists waiting in the queue at steady-state.
(4). Considering the need to reduce waiting time, if an additional typewriter is introduced (turning into a two-server
system, or M/M/2/∞0/m model), analyze the expected impact,…
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License