Question

Assume that a parameter x is described by a continuous function f. A mean value of...

Assume that a parameter x is described by a continuous function f. A mean value of parameter x is 24.2. The standard deviation of that parameter is 4.6%. Assume that parameter x is normally distributed. What is the probability of x to be between 26.5 and 26.73?

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Let X be a continuous random varible that is normally distributed with mean of 65 and...
Let X be a continuous random varible that is normally distributed with mean of 65 and standard deviation of 15, A) find the probability that X takes a balue grater than 74 B) Find the probability that X takes a value between 56 and 71
1. A continuous random variable is normally distributed. The probability that a value in the distribution...
1. A continuous random variable is normally distributed. The probability that a value in the distribution is greater than 47 is 0.4004. Find the probability that a value in the distribution is less than 47. 2. A continuous random variable is normally distributed. The probability that a value in the distribution is less than 125 is 0.5569. Find the probability that a value in the distribution is greater than 125. 3. A random variable is normally distributed with mean 89.7...
Does the function satisfy the hypotheses of the Mean Value Theorem on the given interval? f(x)...
Does the function satisfy the hypotheses of the Mean Value Theorem on the given interval? f(x) = x3 + x − 9,    [0, 2] Yes, f is continuous on [0, 2] and differentiable on (0, 2) since polynomials are continuous and differentiable on .No, f is not continuous on [0, 2].    No, f is continuous on [0, 2] but not differentiable on (0, 2).Yes, it does not matter if f is continuous or differentiable; every function satisfies the Mean Value Theorem.There is...
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 , – 2 ≤ x ≤ 1, zero elsewhere. a) Find the value of C that makes f X ( x ) a valid probability density function. b) Find the cumulative distribution function of X, F X ( x ).
A function f is said to be continuous on the _______ at x = c if...
A function f is said to be continuous on the _______ at x = c if lim x → c + f ( x ) = f ( c ). A function f is said to be continuous on the _______ at x = c if lim x → c − f ( x ) = f ( c ). A real number x is a _______ number for a function f if f is discontinuous at x or f...
Does the function satisfy the hypotheses of the Mean Value Theorem on the given interval? f(x)...
Does the function satisfy the hypotheses of the Mean Value Theorem on the given interval? f(x) = 3x2 + 3x + 6, [−1, 1] No, f is continuous on [−1, 1] but not differentiable on (−1, 1). There is not enough information to verify if this function satisfies the Mean Value Theorem.     Yes, it does not matter if f is continuous or differentiable; every function satisfies the Mean Value Theorem. No, f is not continuous on [−1, 1].Yes, f is...
1aDoes the function satisfy the hypotheses of the Mean Value Theorem on the given interval? f(x)...
1aDoes the function satisfy the hypotheses of the Mean Value Theorem on the given interval? f(x) = 4x2 + 3x + 1,    [−1, 1] a.No, f is continuous on [−1, 1] but not differentiable on (−1, 1). b.Yes, it does not matter if f is continuous or differentiable; every function satisfies the Mean Value Theorem.     c.Yes, f is continuous on [−1, 1] and differentiable on (−1, 1) since polynomials are continuous and differentiable on . d.No, f is not continuous on...
A continuous random variable X has the following probability density function F(x) = cx^3, 0<x<2 and...
A continuous random variable X has the following probability density function F(x) = cx^3, 0<x<2 and 0 otherwise (a) Find the value c such that f(x) is indeed a density function. (b) Write out the cumulative distribution function of X. (c) P(1 < X < 3) =? (d) Write out the mean and variance of X. (e) Let Y be another continuous random variable such that  when 0 < X < 2, and 0 otherwise. Calculate the mean of Y.
Let X be a continuous random variable with the probability density function f(x) = C x,...
Let X be a continuous random variable with the probability density function f(x) = C x, 6 ≤ x ≤ 25, zero otherwise. a. Find the value of C that would make f(x) a valid probability density function. Enter a fraction (e.g. 2/5): C = b. Find the probability P(X > 16). Give your answer to 4 decimal places. c. Find the mean of the probability distribution of X. Give your answer to 4 decimal places. d. Find the median...
1. For which type of continuous distribution are the mean and the median always the same?...
1. For which type of continuous distribution are the mean and the median always the same? uniform and normal distributions only all of the above uniform distribution exponential distribution normal distribution 2. The skewness of a normal distribution is: negative zero positive something that varies 3. The standard normal probability distribution has a mean of ______ and a standard deviation of ______. 0, 1 1, 0 1, 1 0, 0 4. Any normal probability distribution can be converted to a...