Let X1, Y1, X2, Y2, . . . be independent random variables, each uniformly distributed in the unit interval [0, 1], and let W = (X1 + . . . + X500) − (Y1 + . . . + Y500) 500 . Let, 500 is a big number. Using the Central Limit Theorem (CLT), find a good approximation to the probability P(|W − E[W]| < 0.01).

∠acb = 8°

step-by-step explanation:

∠xba lies on the circle and is half the measure of the intercepted arc ax

hence

measure of arc ax = 2 × 42° = 84°

∠acb is outside the circle and is

∠acb = (arcab - arcax ), hence

∠acb = 0.5 (100 - 84) = 0.5 × 16° = 8°

8

step-by-step explanation:

just put √(2) * √(32) into a calculator. that will make the answer be 8.

0.6, 3/5, and 6% are the 3 same portion.

but, when they're all changed to a decimal they would equal to 0.6.

hope this , good luck!