Question

In: Statistics and Probability

Say we have a continuous random variable X with density f(x) = c (1+x3) (where c...

Say we have a continuous random variable X with density f(x) = c (1+x3) (where c is a constant) with support Sx = [0,3]

a. What value of c will make f(x) a valid probability density function?

b. What is the probability that X=2? What is the probability that X is greater than 2?

Now say we have an infinite sequence of independent random variables Xi (that is to say X1, X2, X3, ....)  with density f(x) stated earlier.

c. What is the probability that the first random variable/trial to be greater than 2 is on the 10

trial (first 9 trials are less than 2 and the 10 trial is greater than 2)?

d. What is the probability that it will take less than 10 random variables/trials before we see a

trial that is greater than 2?

Solutions

Expert Solution


Related Solutions

Say we have a continuous random variable X with density function f(x)=c(1+x3) (where c is a...
Say we have a continuous random variable X with density function f(x)=c(1+x3) (where c is a constant)with support SX =[0,3]. a.) What value of c will make f(x) a valid probability density function. b. )What is the probability that X=2? What is the probability that X is greater than 2? Now say we have an infinite sequence of independent random variables Xi (that is to say X1, X2, X3, ....) with density f(x) stated earlier. c. What is the probability...
Consider a continuous random variable X with the probability density function f X ( x )...
Consider a continuous random variable X with the probability density function f X ( x ) = x/C , 3 ≤ x ≤ 7, zero elsewhere. Consider Y = g( X ) = 100/(x^2+1). Use cdf approach to find the cdf of Y, FY(y). Hint: F Y ( y ) = P( Y <y ) = P( g( X ) <y ) =
The random variable X has a continuous distribution with density f, where f(x) ={x/2−5i f10≤x≤12 ,0...
The random variable X has a continuous distribution with density f, where f(x) ={x/2−5i f10≤x≤12 ,0 otherwise. (a) Determine the cumulative distribution function of X.(1p) (b) Calculate the mean of X.(1p) (c) Calculate the mode of X(point where density attains its maximum) (d) Calculate the median of X, i.e. a number m such that P(X≤m) = 1/2 (e) Calculate the mean of the random variable Y= 12−X (f) Calculate P(X^2<121)
Let the continuous random variable X have probability density function f(x) and cumulative distribution function F(x)....
Let the continuous random variable X have probability density function f(x) and cumulative distribution function F(x). Explain the following issues using diagram (Graphs) a) Relationship between f(x) and F(x) for a continuous variable, b) explaining how a uniform random variable can be used to simulate X via the cumulative distribution function of X, or c) explaining the effect of transformation on a discrete and/or continuous random variable
2 Consider the probability density function (p.d.f) of a continuous random variable X: f(x) = (...
2 Consider the probability density function (p.d.f) of a continuous random variable X: f(x) = ( k x3 , 0 < x < 1, 0, elsewhere, where k is a constant. (a) Find k. (b) Compute the cumulative distribution function F(x) of X. (c) Evaluate P(0.1 < X < 0.8). (d) Compute µX = E(X) and σX.
Assume that a continuous random variable has a following probability density function: f ( x )...
Assume that a continuous random variable has a following probability density function: f ( x ) = { 1 10 x 4 2 ≤ x ≤ 2.414 0 o t h e r w i s e Use this information and answer questions 3a to 3g. Question a: Which of the following is a valid cumulative density function for the defined region ( 2 ≤ x ≤ 2.414)?    A.F x ( x ) = 1 50 x 5 −...
A continuous random variable X, has the density function f(x) =((6/5)(x^2)) , 0 ≤ x ≤...
A continuous random variable X, has the density function f(x) =((6/5)(x^2)) , 0 ≤ x ≤ 1; (6/5) (2 − x), 1 ≤ x ≤ 2; 0, elsewhere. (a) Verify f(x) is a valid density function. (b) Find P(X > 3 2 ), P(−1 ≤ X ≤ 1). (c) Compute the cumulative distribution function F(x) of X. (d) Compute E(3X − 1), E(X2 + 1) and σX.
A random variable X has a density given by f X ( x ) = (1...
A random variable X has a density given by f X ( x ) = (1 − x^2 ) [ u ( x ) − u ( x − 1) ] + aδ ( x − 2 )where u(x) is the unit step function and δ(x) is a delta function. a). Find the value of a, E(X) and σ δx^2 . b). Find and make a labeled sketch of FX (x) . C). W = the event {X ≥ 0.5}....
A continuous probability density function (PDF) f ( X ) describes the distribution of continuous random...
A continuous probability density function (PDF) f ( X ) describes the distribution of continuous random variable X . Explain in words, and words only, this property: P ( x a < X < x b ) = P ( x a ≤ X ≤ x b )
Suppose we have the following pdf for the random variable X f(x) ={x 0<=x<=1 c/x^2 1<=x<=...
Suppose we have the following pdf for the random variable X f(x) ={x 0<=x<=1 c/x^2 1<=x<= infinity 0 otherwise } (a) 2 points Find the value c such that f(x) is a valid pdf. (b) 3 points Find the cdf of X. (c) 1 point Find the 75th percentile of X.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT