Need some help with probability and density funtions.

I have two functions:

for x = 2, 3, 4, 6
for

I need to find the popper value for k, the mean, and the variance.

For the first function I found k = 1/65 using the fact that the probabilities must sum to 1. Is this correct?

For the mean of the first function, do I plug in each value into the function, then take this result and multiply it by the value, then sum? Like this:

= 315/65 = 4.85?

And for the variance my notes say: Sum of (value * mean)^2 * prob. of the value

3219.68 is what I get, is this correct?

As far as the second density function, I am not sure where to start? How do you find the proper value for k when the function is continuous?

For the first function, your method for finding k is correct. Check that you have copied the function down correctly (looks like x=5 is missing, but this may be intentional).

Your method for the expected value of the first function is correct.

For the variance, i think your notes said "[Sum of (value - mean)^2] * Prob of value"




In the continuous case, you need to use integration. The pdf must integrate to 1 over its range

Sweet. My notes do say - not *. Guess I was just writing too fast..

Is the mean of the second function 60/13?

You need to use integration to find the mean of a continuous pdf











= 60/13