Education researchers are interested in the workload expectations of freshmen at a local university. Which of the following techniques would give a stratified random sample?

O Randomly select 10 freshmen from each of the majors at the university.
O Randomly select 10 freshmen from the cafeteria on each of the 5 days of the first school week.
O Randomly select 1 professor at the university and have them survey all of their freshman students.
Survey the students in some randomly selected freshman seminar classes, since freshmen are randomly put into
those classes.

i think the answer is seven, for if i'm being useless °ω°

step-by-step explanation:

85.560%

step-by-step explanation:

conditional probability is defined as:

p(a|b) = p(a∩b) / p(b)

in other words, the probability that a occurs, given that b has occurred = the probability that both a and b occur / the probability that b occurs.

in this example:

p(turns 64 | turns 44) = p(turns 64 & turns 44) / p(turns 44).

if someone turns 64, they must have already turned 44, so:

p(turns 64 | turns 44) = p(turns 64) / p(turns 44)

on page 42, we see that of the original 100,000, 94944 turn 44, and 81234 turn 64.   therefore:

p(turns 64 | turns 44) = 81234 / 94944

p(turns 64 | turns 44) = 0.85560

answer is c

step-by-step explanation:

81/12=324/x

x=48

i would be 2,000 just get the square root of 50 which is 2500 and the divid 4/5 and last thing multiply the answer you get for that by the square root of 50

step-by-step explanation: