Question 4 Not yet answered Marked out of 1.00 PFlag question If 'X' is a continuous random variable, then the expected value is given by a. JXP(X) b. No value such as expected value C. P(X) d. ΣχP(x)

This from probability and random variables course.

State and prove Baye's theorem.

Please help me out, with my practice question. I am trying to understand this, but am stuggling. Thanks in advance for your help. Will rate.    Question:   - Suppose X ~ N( normal distribution)( 10, 25) and define a second random variable Y = 2X - 18. What is P(Y ≤ 12) ?

A stationary random process  Vi​ (t), having an autocorrelation function ...........

UNIFORM RANDOM VARIABLE( NEED NEAT HANDWRITTEN SOLUTION ONLY OTHERWISE DOWNVOTE).

F = (B + C’)(A + B)(B’ + C) Rearrange to OR and NOT operations only, using De Morgan's laws.

This was a part of a solution set given to me in bartleby. I wanted to know if my speculations of this being miswritten is correct. The red indicates what i think should be a 0 and the blue indlcates what i think should be 1. if i am wrong please let me know how to understand the kmaps better?

Using the CRC polynomial 1011, compute the CRC code word for the information word 1011001. Check the division performed at the receiver

(5667.112)8=(?)2