Let Y be a normally distributed random variable measuring the average daily energy dissipation of an engine. Given that Y has mean µ = 2 and P(Y ≤ 1) = 0.24, then determine the probability that at least 3 units of energy are dissipated in a chosen day. (Hint: use symmetry of the normal distribution about the mean)
Let Y be a normally distributed random variable measuring the average daily energy dissipation of an...
6.33 Let x be a continuous random variable that is normally distributed with a mean of 25 and a standard deviation of 6. Find the probability that x assumes a value a. between 28 and 34 b. between 20 and 35 6.34 Let x be a continuous random variable that has a normal distribution with a mean of 30 and a stan- dard deviation of 2. Find the probability that x assumes a value a. between 29 and 35 b....
A random variable X is normally distributed. Let F (x) be the CDF of X. Observations of a very large sample size shows that F (20.21) = 0.025 and F(41.63) = 0.975. Determine the following probability: P (X < 35.00). Hint: for a normal distribution, about 95% of the scores falls within plus or minus two standard deviations from the mean.
Let x be a continuous random variable that is normally distributed with a mean of 25 and a standard deviation of 6. Find the probability that x assumes a value: a) between 29 and 36 b) between 22 and 35 Let x be a continuous random variable that is normally distributed with a mean of 80 and a standard deviation of 12. Find the probability that x assumes a value a) greater than 69 b) less than 73 c) greater...
Assume that the random variable X is normally distributed, with mean µ = 50 and standard deviation σ = 7. Compute the probability P(X ≤ 58). Be sure to draw a normal curve with the area corresponding to the probability shaded.
Let W be a normally distributed random variable with mean 25 and variance 4. (a) What type of distribution does Y = [(W−25)/2]^2 have? Name: ____ Parameter(s): ____ (b) Let W1, W2, . . . , W100 be a random sample from a normal population with mean 25 and variance 4. i. What type of distribution does W(bar) have? Name:____ Parameter(s):____ ii. What type of distribution does (99S^2)/4 have? Name:___ Parameter(s)____
Let X be a uniformly distributed random variable on [0,1]. Then, X divides [0,1] into the subintervals [0,X] and [x,1]. By symmetry, each subinterval has a mean length 0.5. Now pick one of the subintervals at random in the following way: Let Y be independent of X and uniformly distributed on [0,1], and pick the subinterval [0,X], or (X,1] that Y falls in. Let L be the length of the subinterval so chosen. What is the mean length of L...
Let x be a continuous random variable that is normally distributed with a mean of 36 and a standard deviation of 5. Find the probability the x is less than 38. Round to four decimal places.
Assume the random variable X is normally distributed with mean is 52 and the standard deviation is 10. Compute the probability. Be sure to draw a normal curve with the area corresponding to the probability shaded. P(X>42) Use the standard normal distribution table.
Let X be a continuous random variable that is normally distributed with a mean of 65 and a standard deviation of 15. Find the probability that X assumes a value less than 46. Round your answer to four decimal places. P=???
2. A random variable is normally distributed s normally distributed with a mean of u = 50 and a standard deviation of o = 5. a. Sketch a normal curve for the probability density 50, 55, 60, and 65. of the probability density function. Label the horizontal axis with values of 35, 40, 45, b. What is the probability that the rando Tobability that the random variable will assume a value between 45 and 55? Empirical Rule. c. What is...