Answer:

Step-by-step explanation:
A negative binomial random variable "is the number X of repeated trials to produce r successes in a negative binomial experiment. The probability distribution of a negative binomial random variable is called a negative binomial distribution, this distribution is known as the Pascal distribution".
And the probability mass function is given by:
Where r represent the number successes after the k failures and p is the probability of a success on any given trial.
Solution to the problem
For this case the likehoof function is given by:

If we replace the mass function we got:

When we take the derivate of the likehood function we got:
![l(p,x_i) = \sum_{i=1}^n [log (x_i +r-1 C k) + r log(p) + x_i log(1-p)]](https://tex.z-dn.net/?f=%20l%28p%2Cx_i%29%20%3D%20%5Csum_%7Bi%3D1%7D%5En%20%5Blog%20%28x_i%20%2Br-1%20C%20k%29%20%2B%20r%20log%28p%29%20%2B%20x_i%20log%281-p%29%5D)
And in order to estimate the likehood estimator for p we need to take the derivate from the last expression and we got:

And we can separete the sum and we got:

Now we need to find the critical point setting equal to zero this derivate and we got:


For the left and right part of the expression we just have this using the properties for a sum and taking in count that p is a fixed value:

Now we need to solve the value of
from the last equation like this:



![p[\sum_{i=1}^n x_i +nr]= nr](https://tex.z-dn.net/?f=%20p%5B%5Csum_%7Bi%3D1%7D%5En%20x_i%20%2Bnr%5D%3D%20nr)
And if we solve for
we got:

And if we divide numerator and denominator by n we got:

Since 
Write out the numbers between 24 and 33: {24, 25, 26, 27, 28, 29, 30, 31, 32, 33}
How many numbers have we here? 10.
How many of these numbers are odd? {25, 27, 29, 31, 33}
Strictly speaking, "between 24 and 33" does not include {24, 33}.
Thus, the odd numbers between 24 and 33 are {25, 27, 29, 31}
The chances of drawing an odd number between 24 and 33 are then 4 / 10.
If, however, we omit the endpoints 24 and 33, then there are 8 numbers between 24 and 33: {25, 27, 29, 31}
and the odds of choosing an odd number from these eight numbers is 4/8, or 1/2, or 0.50.
Answer:
Domain : All real numbers
Range: x<0
Step-by-step explanation:
We know to each pound of such, there is 16 packets produced per?
So, 16 x 40 = 640.