Answer True or False for the following questions: 1. The probability density function (pdf) is used...
Answer True or False for the following questions:
1. The probability density function (pdf) is used to describe probabilities for continuous random variables.
2. The cumulative distribution function (cdf) gives the probability as an area.
3. The amount of time (beginning now) until an earthquake occurs has an uniform distribution
4. Normal distributions are commonly used in calculations of product reliability, or the length of time a product lasts.
6. The exponential distribution has the decay parameter, which says that future probabilities do not depend on any past information.
7. The z-score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ.
Homework Answers
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Answer True or False for the following questions:
1. The probability density function (pdf) is used...
Name: . [20 points] Sketch the following probability density function (pdf). Write an equation and sketch...
Name: . [20 points] Sketch the following probability density function (pdf). Write an equation and sketch the corresponding Cumulative Distribution Function (CDF). Is this random ariable discrete or continuous? y 1 0 otherwise
2. Suppose X is a continuous random variable with the probability density function (i.e., pdf) given...
2. Suppose X is a continuous random variable with the probability density function (i.e., pdf) given by f(x) - 3x2; 0< x < 1, - 0; otherwise Find the cumulative distribution function (i.e., cdf) of Y = X3 first and then use it to find the pdf of Y, E(Y) and V(Y)
Sketch the following probability density function (pdf). Write an equation and sketch the corresponding Cumulative Distribution...
Sketch the following probability density function (pdf). Write
an equation and sketch the corresponding Cumulative Distribution
Function (CDF). Is this random variable discrete or continuous?
Answer the following:
P( V< -0.5 )
P( V < 1.0 )
P( V ≤ 1.0 )
fv(v)otherwise
15. (10 points) A. Draw a graph of the probability distribution function (PDF) for the uniform di...
15. (10 points) A. Draw a graph of the probability distribution function (PDF) for the uniform distribution that is defined to be non-zero and constant between 1 and 10. Label the x and y-axes for the graph. (3 points) B. On the same graph draw the cumulative distribution function (CDF) for the uniform distribution. Clearly identify each line (PDF or CDF) in the graph. (3 points) C. In words, express the mathematical relationship that exists between any CDF and the...
9. a Explain, using sketches where necessary, the meanings of the following terms used in describing...
9. a Explain, using sketches where necessary, the meanings of the following terms used in describing the reliability behaviour of components; and show clearly how they are related to each other: (i) lifetime probability density function; (i) cumulative distribution function; (ii) reliability function; (iv) hazard function. b Write down the expression for the cumulative distribution function (cdf of the two-parameter Weibull distribution. Define its parameters and produce sketches to show how changing their values influences the cdf and the hazard...
6. Here is the graph of the probability density function (pdf) fx for a continuous random variabl...
6. Here is the graph of the probability density function (pdf) fx for a continuous random variable X 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 6 10 (a) Sketch the cumulative distribution function (cdf) of X. Label the vertical axis appropriately. (b) Which is larger, P(X 2) or P(X 6)? Explain how you know c) Which is larger, P(1.999 X 2.001) or P(5.999 s X .00)? Explain how you know (d) Which is larger, P(1s X S3) or P(5...
How to get the cdf when y>x>0? Thanks 6. The joint probability density function (pdf) of...
How to get the cdf when y>x>0? Thanks
6. The joint probability density function (pdf) of (X, Y) is given by 0y<oo, elsewhere. fxr, y) (a) Find the cumulative distribution function of (X, Y) (b) Evaluate P(Y < X2) (c) Derive the pdf of X and then compute the mean and variance of X (d) Find the pdf of Y and compute the mean and variance of Y (e) Calculate the conditional pdf of Y given X (f) Compute the...
2. Suppose that Y and Y2 are continuous random variables with the joint probability density function...
2. Suppose that Y and Y2 are continuous random variables with the joint probability density function (joint pdf) a) Find k so that this is a proper joint pdf. b) Find the joint cumulative distribution function (joint cdf), FV1,y2)-POİ уг). Be y, sure it is completely specified! c) Find P(, 0.5% 0.25). d) Find P (n 292). e) Find EDY/ . f) Find the marginal distributions fiv,) and f2(/2). g) Find EM] and E[y]. h) Find the covariance between Y1...
Question Let X be a continuous random variable with the following probability density function (pdf) 0.5e...
Question Let X be a continuous random variable with the following probability density function (pdf) 0.5e fx (x) = { 0.5e-1 x < 0. <>0.. (a) Show that fx (x) is a valid pdf. (b) Find the cumulative distribution function Fx (.x). (e) Find F='(X). (d) Write an algorithm to generate a sample of size 1000 from the distribution of X using the inverse-transform method. Be as precise as possible.
For a continuous random variable X with the following probability density function (PDF): fX(x) = (...
For a continuous random variable X with the following probability density function (PDF): fX(x) = ( 0.25 if 0 ≤ x ≤ 4, 0 otherwise. (a) Sketch-out the function and confirm it’s a valid PDF. (5 points) (b) Find the CDF of X and sketch it out. (5 points) (c) Find P [ 0.5 < X ≤ 1.5 ]. (5 points)
Name: . [20 points] Sketch the following probability density function (pdf). Write an equation and sketch the corresponding Cumulative Distribution Function (CDF). Is this random ariable discrete or continuous? y 1 0 otherwise
2. Suppose X is a continuous random variable with the probability density function (i.e., pdf) given by f(x) - 3x2; 0< x < 1, - 0; otherwise Find the cumulative distribution function (i.e., cdf) of Y = X3 first and then use it to find the pdf of Y, E(Y) and V(Y)
Sketch the following probability density function (pdf). Write
an equation and sketch the corresponding Cumulative Distribution
Function (CDF). Is this random variable discrete or continuous?
Answer the following:
P( V< -0.5 )
P( V < 1.0 )
P( V ≤ 1.0 )
fv(v)otherwise
15. (10 points) A. Draw a graph of the probability distribution function (PDF) for the uniform distribution that is defined to be non-zero and constant between 1 and 10. Label the x and y-axes for the graph. (3 points) B. On the same graph draw the cumulative distribution function (CDF) for the uniform distribution. Clearly identify each line (PDF or CDF) in the graph. (3 points) C. In words, express the mathematical relationship that exists between any CDF and the...
9. a Explain, using sketches where necessary, the meanings of the following terms used in describing the reliability behaviour of components; and show clearly how they are related to each other: (i) lifetime probability density function; (i) cumulative distribution function; (ii) reliability function; (iv) hazard function. b Write down the expression for the cumulative distribution function (cdf of the two-parameter Weibull distribution. Define its parameters and produce sketches to show how changing their values influences the cdf and the hazard...
6. Here is the graph of the probability density function (pdf) fx for a continuous random variable X 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 6 10 (a) Sketch the cumulative distribution function (cdf) of X. Label the vertical axis appropriately. (b) Which is larger, P(X 2) or P(X 6)? Explain how you know c) Which is larger, P(1.999 X 2.001) or P(5.999 s X .00)? Explain how you know (d) Which is larger, P(1s X S3) or P(5...
How to get the cdf when y>x>0? Thanks
6. The joint probability density function (pdf) of (X, Y) is given by 0y<oo, elsewhere. fxr, y) (a) Find the cumulative distribution function of (X, Y) (b) Evaluate P(Y < X2) (c) Derive the pdf of X and then compute the mean and variance of X (d) Find the pdf of Y and compute the mean and variance of Y (e) Calculate the conditional pdf of Y given X (f) Compute the...
2. Suppose that Y and Y2 are continuous random variables with the joint probability density function (joint pdf) a) Find k so that this is a proper joint pdf. b) Find the joint cumulative distribution function (joint cdf), FV1,y2)-POİ уг). Be y, sure it is completely specified! c) Find P(, 0.5% 0.25). d) Find P (n 292). e) Find EDY/ . f) Find the marginal distributions fiv,) and f2(/2). g) Find EM] and E[y]. h) Find the covariance between Y1...
Question Let X be a continuous random variable with the following probability density function (pdf) 0.5e fx (x) = { 0.5e-1 x < 0. <>0.. (a) Show that fx (x) is a valid pdf. (b) Find the cumulative distribution function Fx (.x). (e) Find F='(X). (d) Write an algorithm to generate a sample of size 1000 from the distribution of X using the inverse-transform method. Be as precise as possible.
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