Question

In: Statistics and Probability

Let X be a Gaussian(2,4) random variable. What is the probability that X falls between 0...

Let X be a Gaussian(2,4) random variable. What is the probability that X falls between 0 and 1? Write your answer as a decimal with two decimal places.

Note 0.15 is incorrect

Solutions

Expert Solution

Correct answer:

0.09

EXPLANATION:

= 2

To find P(0 < X < 1):

Case 1:

For X from 0 to mid value:

Z = (0 - 2)/2 = - 1

Table of Area Under Standard Normal Curve gives area = 0.3413

Case 2:

For X from 1 to mid value:

Z = (1 - 2)/2 = - 0.5

Table of Area Under Standard Normal Curve gives area = 0.1915

So,

P(0 < X< !) = 0.3413 - 0.1915 = 0.1498

So,

P(0<X<1)= 0.15

Since the answer = 0.15 is given as incorrect, we note the following interpretation of Gaussian (2,4):

Though generally G(2,4) is interpreted as:

Mean = = 2

Variance = = 4,

Since the answer = 0.15 is given as wrong, we note the following interpretation of G(2,4) by some authors:

= 2

= 4

(EXPLANATION: Some authors take G(2,4) as mean = 2 and SD = 4)

To find P(0 < X < 1):

Case 1:

For X from 0 to mid value:

Z = (0 - 2)/4 = - 0.5

Table of Area Under Standard Normal Curve gives area = 0.1915

Case 2:

For X from 1 to mid value:

Z = (1 - 2)/4 = - 0.25

Table of Area Under Standard Normal Curve gives area = 0.0987

So,

P(0 < X< !) = 0.1915 - 0.0987 = 0.0928

So,

P(0<X<1)= 0.09

So,

Answer is:

0.09


Related Solutions

Let X be a random variable with an N(2,4) distribution. FindP(|X−2|^2 >.36)
Let X be a random variable with an N(2,4) distribution. FindP(|X−2|^2 >.36)
Let X be a continuous random variable that has a uniform distribution between 0 and 2...
Let X be a continuous random variable that has a uniform distribution between 0 and 2 and let the cumulative distribution function F(x) = 0.5x if x is between 0 and 2 and let F(x) = 0 if x is not between 0 and 2. Compute 1. the probability that X is between 1.4 and 1.8 2. the probability that X is less than 1.2 3. the probability that X is more than 0.8 4. the expected value of X...
Two dice are rolled. Let the random variable X denote the number that falls uppermost on...
Two dice are rolled. Let the random variable X denote the number that falls uppermost on the first die and let Y denote the number that falls uppermost on the second die. (a) Find the probability distributions of X and Y. x 1 2 3 4 5 6 P(X = x) y 1 2 3 4 5 6 P(Y = y) (b) Find the probability distribution of X + Y. x + y 2 3 4 5 6 7 P(X...
The probability distribution of a discrete random variable x is shown below. X                         0    &
The probability distribution of a discrete random variable x is shown below. X                         0               1               2               3 P(X)                   0.25        0.40         0.20          0.15 What is the standard deviation of x? a. 0.9875 b. 3.0000 c. 0.5623 d. 0.9937 e. 0.6000 Each of the following are characteristics of the sampling distribution of the mean except: a. The standard deviation of the sampling distribution of the mean is referred to as the standard error. b. If the original population is not normally distributed, the sampling distribution of the mean will also...
1. Let X be random variable with density p(x) = x/2 for 0 < x<...
1. Let X be random variable with density p(x) = x/2 for 0 < x < 2 and 0 otherwise. Let Y = X^2−2. a) Compute the CDF and pdf of Y. b) Compute P(Y >0 | X ≤ 1.8).
(a) If X is a uniform random variable with positive probability on the interval [0, n],...
(a) If X is a uniform random variable with positive probability on the interval [0, n], find the probability density function of eX (b) If X is a uniform random variable with positive probability on the interval [1, n], find E [1/X].
Let X and Y be random variable follow uniform U[0, 1]. Let Z = X to...
Let X and Y be random variable follow uniform U[0, 1]. Let Z = X to the power of Y. What is the distribution of Z?
Let X be a random variable with the following probability distribution: Value x of X P(X=x)  ...
Let X be a random variable with the following probability distribution: Value x of X P(X=x)   20   0.35 30   0.10 40   0.25 50   0.30 Find the expectation E (X) and variance Var (X) of X. (If necessary, consult a list of formulas.) E (x) = ? Var (X) = ?
Let X be a continuous random variable with a probability density function fX (x) = 2xI...
Let X be a continuous random variable with a probability density function fX (x) = 2xI (0,1) (x) and let it be the function´ Y (x) = e −x a. Find the expression for the probability density function fY (y). b. Find the domain of the probability density function fY (y).
X is a Gaussian random variable with variance 9. It is known that the mean of...
X is a Gaussian random variable with variance 9. It is known that the mean of X is positive. It is also known that the probability P[X^2 > a] (using the standard Q-function notation) is given by P[X^2 > a] = Q(5) + Q(3). (a) [13 pts] Find the values of a and the mean of X (b) [12 pts] Find the probability P[X^4 -6X^2 > 27]
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT