All my work is wrong, except for what's in red. can you please work it out step by step
a) f(x)=cx^2+x, We know Integrate(f(x)dx)=1, thus (cx^2+x)dx=1 [You pulled the constant c out but it is attached only with x^2] or cx^3/x+x^2/2|(0,1)=1, which gives
c/3+1/2=1 or c/3=1/2 and c=3/2.
b)E(x)=x*f(x)dx from (0,1) or (3/2*x^3+x^2)dx=3/8*x^4+x^3/3|(0,1)=3/8+1/3=17/24=0.708
c) Var(x)=E(x^2)-(E(x))^2. E(x^2)=x^2f(x)dx=(3/2*x^4+x^3)dx=3/10*x^5+x^4/4|(0,1)=3/10+1/4=11/20
Thus Var(x)=11/20-(17/24)^2=0.048
All my work is wrong, except for what's in red. can you please work it out...
Statistics - Introduction to Probability Please show all work Let Y1 and Y2 be continuous random variables with the joint p.d.f. (probability density function) f(V1, V2) given by Vi + V2 for Os Visl and O SV2 s 1 f(V1, V2) { 0 elsewhere Find the marginal c.d.f. (cumulative distribution function) of a random variable Y1
The length of time to failure (in hundred of hours) for a transistor is a random variable Y with c.d.f. given by F(y) = ( 1 − exp{−y 2}, if y ≥ 0, 0, elsewhere. (a) Find the p.d.f f(y) of Y and show that it is indeed a valid p.d.f [2] (b) Find the 30th percentile of Y and interpret it [2]. (c) Find E(Y ) and V (Y ) [2] (d) Find the probability that the transistor operates...
Hello! I did the work out for this and my answers are wrong, can someone give me the correct answers with a step by step explanation? Thanks! Activity Rates and Activity-Based Product Costing Hammer Company produces a variety of electronic equipment. One of its plants produces two laser printers: the deluxe and the regular. At the beginning of the year, the following data were prepared for this plant: Deluxe Regular Quantity 100,000 800,000 Selling price $900 $750 Unit prime cost...
please show work and explain for my understanding. Suppose that a random variable X has the following pdf: f (x;p) 8px +2(1-P) 0<x<0.5 ; where 0 sps1 0 otherwise where p is simply a constant that has yet to be specified in other words, p is a parameter). For now, we will leave the parameter p an unspecified constant ► Find P(x >0.3) = Note: your answer will be an expression containing p. Suppose that k> 0 is also a...
Problem 7: [8 points] The length of time to failure (in hundred of hours) for a transistor is a random variable Y with c.d.f. given by F(y) {: 1 - exp{-yº}, if y20, 0, elsewhere. (a) Find the p.d.f f(y) of Y and show that it is indeed a valid p.d.f [2] (b) Find the 30th percentile of Y and interpret it [2]. (c) Find E(Y) and V(Y) [2] (d) Find the probability that the transistor operates for at least...
Problem 7: [8 points] The length of time to failure (in hundred of hours) for a transistor is a random variable Y with c.d.f. given by 1 - exp{-yº}, if y> 0, 0. elsewhere. F(y) -{. (a) Find the p.d.f f(y) of Y and show that it is indeed a valid p.d.f [2] (b) Find the 30th percentile of Y and interpret it [2]. (c) Find E(Y) and V(Y) [2] (d) Find the probability that the transistor operates for at...
Probability & Statistics (25 points) 1. (5 points) If the probability that student A will fail a certain statistics examination is 0.3, the probability that student B will fail the examination is 0.2, and the probability that bosh student A and student B will fail the examination is 0.1. a) What is the probability that at least one of these two students will fail the examination? b) What is the probability that exactly one of the two students will fail...
are my answers wrong? Find the value of * that yields the probability shown, where X is a normally distributed random variable X with mean 54 and standard deviation 12. 1.P/X<x*)-0.0900 37.9109 2.PIX>z*)-0.6500 58.6238
Problem 7: (8 points) The length of time to failure (in hundred of hours) for a transistor is a random variable Y with e.df. given by Fy) - 1 - exp{-1}, if y> 0 0, elsewhere. (a) Find the p.d.ff(s) of Y and show that it is indeed a valid p.d.f[2] (b) Find the 30 percentile of Y and interpret it (2) (c) Find E(Y) and V(Y) (2) (d) Find the probability that the transistor operates for at least 200...
Problem 7: (8 points) The length of time to failure (in hundred of hours) for a transistor is a random variable Y with e.df. given by Fy) - 1 - exp{-1}, if y> 0 0, elsewhere. (a) Find the p.d.ff(s) of Y and show that it is indeed a valid p.d.f[2] (b) Find the 30 percentile of Y and interpret it (2) (c) Find E(Y) and V(Y) (2) (d) Find the probability that the transistor operates for at least 200...