A box has an unknown number of tickets serially numbered 1,2,...,N. Two tickets are drawn using simple random sampling without replacement

709 Views Asked by At

A box has an unknown number of tickets serially numbered 1,2,...,N. Two tickets are drawn using simple random sampling without replacement (SRSWOR) from the box. If X and Y are the numbers on these two tickets and $Z = max(X,Y )$, show that

(a) Z is not unbiased for N

(b) $aX+bY +c$ is unbiased for N if and only if $ a+b = 2 \text{ and}\ c = −1.$

What is the the pmf of Z, Any tips on how to proceed?

2

There are 2 best solutions below

8
On BEST ANSWER

Comment (continued) However, it should not be too hard for you to find the distribution of $Z.$

Here is a simple simulation in R statistical software for the case $N = 5.$ It seems that $Z$ takes values 2 through 5 with respective probabilities $.1, .2, .3, .4,$ and that $E(Z) = 4.$ (Of course simulation only provides a good approximation.)

n = 5;  box = 1:n
z = replicate(10^5, max(sample(box,2)))
hist(z, prob=T, br = (box)+.5, col="skyblue2")
mean(z)
## 4.00825  # Consistent with $E(Z) = 4.$ 

enter image description here

You can easily get the exact distribution of $Z$ by making a $5 \times 5$ square array of points, representing possible values $X$ and $Y.$ What is the probability of each point? What is the value of $Z$ for each point? What is the exact distribution of $Z$? What is $E(Z)?$

Then maybe you can generalize the answers to larger values of $N$ without making arrays of points.

For example, here is the histogram for $N = 10.$ It seems clear that $E(Z) < 10.$ (The red line shows the position of the mean.)

enter image description here

Addendum: In your last comments you turned to part (b). Consider the special case in which $a = b = 1.$ Then let $W = X+Y-1.$ In case it helps, simulation with $N = 10$ gives $E(W) \approx 10$ and the following histogram.

enter image description here

1
On

so i solved this question so you have to start in this way think what values Z can take? so z can 2,3,4,,,,N. Z can not take the value 1 because if we take any two number them maximum value can not be one so what is the probability to take this no is given if z take 2 them its probability is 1/ (N c 2) { there N c 2 is the N choose 2} Z take 3 them its probability is 2/ (N c 2)

{ here numerate is 2 because there is two ways to take the value 3 is {(3,2) ,(3,1)} and so on if now if z take N so its probabilty is (N-1)/(N c 2) so in this way you got the probabiltiy distribution .