(A) On the Internet , dat a is transmitted in packets. In a sirnple model for vvorldvVide Web traffic, t he nt1rnber of packets N needed t o trar1srnit a '\i\Teb pagedepends on vvhether t he page has gr aphic irnages. If the page 11as irnages( e\rent I ), t 11en J\T is uniforrnl}' distribt1ted betvveen 1 and 50 packets. If t hepage is just text ( e\rent T ), then N is uniforrr1 between 1 and 5 packets.Assurr1ing a page ha,s irnages vvit h probability 1/ 4, find the(a) conditior1al P l\/IF PN1 1(n,) (b) conditional PMF PN1r(ri)(d) conditional PMF PNIN<1o(n,)(B) Y is a continuous l111iforrn (0, 10) randorr1 variable. Find t he follovving:(a) P (Y < 6] (b) t he conditional PDF f YI Y<6(Y)( c) P (Y > 8] (d) the conditional PDF f YI Y>s(Y)

Statistics: Chapter 3.1 1. Mean: average of a set of numbers a. (sum of all data values) / (number of values) b. Mean = (Σx) / (n) i. Let x be a quantitative variable with n measured data value from a population of n. c. Example: i. 10, 15, 20, 25….625 ii. (n+1) / 2 iii. “n” : position of the middle number (n odd) between the position of the two middle numbers ( n even ) iv. Mean: 1. Sample Mean = x = Σx / n (statistic) 2. Population Mean = μ = Σx / n (parameter) 2. Median: Middle data value (the central value of an order distribution) a. Med