Question

In: Math

Suppose the installation time in hours for a software on a laptop has probability density function...

Suppose the installation time in hours for a software on a laptop has probability density function f(x) = (4/3) (1 − x3 ), 0 ≤ x ≤ 1.

(a) Find the probability that the software takes between 0.3 and 0.5 hours to be installed on your laptop.

(b) Let X1, . . . , X30 be the installation times of the software on 30 different laptops. Assume the installation times are independent. Find the probability that the average installation time is between 0.3 and 0.5 hours. Cite the theorem you use.

(c) Instead of taking a sample of 30 laptops as in the previous question, you take a sample of 60 laptops. Find the probability that the average installation time is between 0.3 and 0.5 hours. Cite the theorem you use.

Solutions

Expert Solution


Related Solutions

5. Suppose the installation time in hours for a software on a laptop has probability density...
5. Suppose the installation time in hours for a software on a laptop has probability density function f(x) =4/3(1−x^3), 0 ≤ x ≤ 1. (a) Find the probability that the software takes between 0.3 and 0.5 hours to be installed on your laptop. (b) Let X1,...,X30 be the installation times of the software on 30 different laptops. Assume the installation times are independent. Find the probability that the average installation time is between 0.3 and 0.5 hours. Cite the theorem...
Weekly CPU time used by an accounting firm has probability density function (measured in hours) given by
Weekly CPU time used by an accounting firm has probability density function (measured in hours) given by (a) Find the expected value and variance of weekly CPU time. (b) The CPU time costs the firm  200$ per hour. Find the expected value and variance of  the weekly cost for CPU time. (c) Would you expect the weekly cost to exceed 600$ very often? Why?
The probability density function of the time you arrive at a terminal (in minutes after 8:00...
The probability density function of the time you arrive at a terminal (in minutes after 8:00 a.m.) is f(x)=(e^(-x/10))/10 for 0 < x. Determine the following probabilities. C. You arrive before 8:10 A.M. on two or more days of five days. Assume that your arrival times on different days are independent.
The settlement of a structure has the normally distributed probability density function with a mean of...
The settlement of a structure has the normally distributed probability density function with a mean of 26mm and a coefficient of a variation of 20%. 1) What is the probability that the settlement is less than 22mm? 2) What is the probability that the settlement is between 24mm and 29mm? 3) What is the probability that the settlement exceeds 31mm?
For ? continuous random variable has ??(?) probability density function with ? e. Define ?(?)=?.... ??...
For ? continuous random variable has ??(?) probability density function with ? e. Define ?(?)=?.... ?? =(.,.) f. Obtain ? constant. g. Calculate the ?(?), ???(?) values. h. Define 5 probabilities and calculate them.
Suppose that the distribution of wind velocity, X, is described by the probability density function f(x)...
Suppose that the distribution of wind velocity, X, is described by the probability density function f(x) = (x/σ^2)e^-(x^2/ 2(σ^2)) , x ≥ 0. Suppose that for the distribution of wind velocity in Newcastle, measured in km/hr, σ^2 = 100. (a) In task 1, you showed that the quantile function for this distribution is given by: Q(p) = σ (−2 ln(1 − p))^(1/2), 0 ≤ p < 1 Use this quantile function to generate 100,000 random values from this distribution (when...
Suppose that X1 and X2 are independent continuous random variables with the same probability density function...
Suppose that X1 and X2 are independent continuous random variables with the same probability density function as: f(x)= x/2 0 < x < 2, 0 otherwise. Let a new random variable be Y = min(X1, X2, ). a) Use distribution function method to find the probability density function of Y, fY (y). b) Compute P(Y > 1). c) Compute E(Y ).
Suppose that the joint probability density function of ˜ (X, Y) is given by:´ f X,Y...
Suppose that the joint probability density function of ˜ (X, Y) is given by:´ f X,Y (x,y) = 4x/y3 I(0.1)(x), I (1, ∞)(y). Calculate a) P(1/2 < X < 3/4, 0 < Y ≤ 1/3). b) P(Y > 5). c) P(Y > X).
Exercise 4 (MATH 4200). Suppose that Xk has a probability density function f(x) so that f(x)...
Exercise 4 (MATH 4200). Suppose that Xk has a probability density function f(x) so that f(x) > 0 for all x. Prove that G(c) = E[Xk Xk ≥ c]P(Xk ≥ c) + µk+1P(Xk ≤ c) is maximal is maximal for c = µk+1. (This means the optimal strategy is to take γk = µk+1.)
39. The life in years of a certain automobile has a probability density function given by...
39. The life in years of a certain automobile has a probability density function given by ft0.20e0.20tfor t0. Find the probability that the life of this car isa) at most 10 yearsb) at least 10 yearsc) between 5 and 10 years
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT