00:01
So let's work through each part of this problem step by step, starting with a.
00:06
So find the expected value of z, where z equals 2x plus y over 2.
00:17
And e of z equals e of 2x plus y over 2.
00:29
So using the linearity of expectations, we get e of z equals 1 half times e of 2x plus 1 half e of y.
00:56
And since e of 2x equals 2e of x and e of y equals e of y, then we can also get by proxy e of z equals e of x plus e of y.
01:16
And given that e of x equals u and e of y equals u, we can get that this equals 2u.
01:23
So the expected value of z is e of z equals 2u.
01:28
Part b.
01:38
Find the variance of z, assuming x and y are statistically independent.
01:45
So variance of z equals the variance of 2x plus y over 2.
02:02
Using the properties of variance for independent random variables, we would get this to be 1 fourth times the variance of 2x plus 1 fourth times the variance of y.
02:33
Um, so since variance of 2x equals 4 times variance of x, and variance of y equals standard deviation squared, we would also get that this equals 1 fourth times 4 standard deviation squared plus 1 fourth times standard deviation squared.
03:03
All in all, this would be 5 fourths standard deviation squared.
03:13
Um, next c...