Please show all work so I can learn <3 XOXO I would appreciate it alot ;)
Please show all work so I can learn <3 XOXO I would appreciate it alot ;)...
Can you please show the work? Thank you so much. I really appreciate it. 3) Suppose that an individual with income I cares about two goods, X and Y. The price of the two goods is Px and Py. Suppose an individual have the following utility function: U(X,Y)- min(X,Y) a) Find the Marshallian demand for X and Y. b) Find the indirect utility function. c) Find the expenditure function using the relationship between the indirect utility function and the expenditure...
Please explain your work so I can replicate it and practice. Please also include R code, not just R outputs. Thank you. 2, (3 points) Let X be a standard normal random variable. Let Y = X2. (Use R and give code.) (a) Find P(-1.5 < X < 2.5) (b) Find P(Y1 Notes: . You are not expected to and don't need to figure out the distribution of Y. Just convert the probability for Y to a probability involving X...
Answer question 1 & 2 asap please. The question is indeed complete. Question 1 Fill in the P(X=x) values to give a legitimate probability distribution for the discrete random variable X, whose possible values are -6, -5, 0,5, and 6. Value of x P(x = x) 0.12 -5 0.21 0 0 $ 0.12 6 ? Question 2 Suppose that the genders of the three children of a certain family are soon to be revealed. Outcomes are thus triples of "girls"...
The Answer for i is suppose to be 0.625, but I am having trouble getting that number Exercise 5.5. Consider the sample space S = {(x,y) € R2 : 22 + y2 <1}, with event space & suitably chosen, and with probability measure P determined by Area(E) Area(E) P(E) = Area(S) TT for E E E. Let X: S+R be the random variable defined by -1/2 if x < 0 and y 0, 1/3 if x < 0 and y...
Please write neatly and legibly. Please show all work. 1. Recall that given a basis, the space of linear endomorphisms of R", End (R"), can be identified with the space of nxn matrices. Let us denote this space by Mat (n). Clearly, with respect to standard addition of matrices and multiplication by scalars, Mat (n) is a na-dimensional vector space. 1. Let X e Mat (n). Then, we can think as being coordinates on Mat (n). 1,j=1...n Clearly, we must...
please show and explain all your work so I can follow along and learn, thank you! ct 4 (5 pts) In the spacetime diagram shown, event B occurs at x = 1m and time ct = 0.2m. What is the distance between events A and B in a frame where they are simulataneous? B. A 1 m х
Please show all work, step by step, so I can understand what to do. Ten trials are conducted in a Bernoulli process in which the probability of success in a given trial is 0.3. If x = the number of successes, determine the following: a. E(x) b. σx c. P(x = 5) d. P(4 ≤ x ≤ 8) e. P(x > 4)
Please show work so I can understand 3. Use the following table to answer the questions. -100 -80 -40 0 10 P(XSx)0.35 0.43 0.64 0.871 a) Find the probability that X is at most -50. b) Find the probability that X is more than -10. c) Find the probability that X is between (inclusive) -90 and 0. d) Construct the corresponding pdf. e) Calculate the variance of x.
Hello! I really need help on this. All work shown would be awesome so I can understand the concepts and please write legibly! Thank you:) (a) Consider a uniformly charged thin-walled right circular cylindrical shell having total charge Q, radius R, and length . Determine the electric field at a point a distance d from the right side of the cylinder as shown in the figure below. Suggestion: Use the following expression and treat the cylinder as a collection of...
Please answer me clearly so I can read well BSP2014 Tutorial 2 1. Check whether the given function can serve as the probability mass function(p.m.f.) of a random variable 2forx-1,2, 3,4, 5 ii) Ax)for-0,1,2, 3,4 2. A random variable X has the following probability distribution. 0.1 2k 0.3 i)Find k ii)Evaluate PX2 and P-2X2) iii) Find the CDF of X 3. If X has the cumulative distribution function, CDF Fix) = I/2 , 1 xc3 x25 Find a) PXS 3)...