Answer:
:)
Step-by-step explanation:
Examples: 1+2, 1/3+1/4, 2^3 * 2^2
(x+1)(x+2) (Simplify Example), 2x^2+2y a x=5, y=3 (Evaluate Example)
y=x^2+1 (Graph Example), 4x+2=2(x+6) (Solve Example)
Answer:
Step-by-step explanation:
Suppose we think of an alphabet X to be the Event of the evidence.
Also, if Y be the Event of cheating; &
Y' be the Event of not involved in cheating
From the given information:



Thus, 
P(Y') = 1 - 0.01
P(Y') = 0.99
The probability of cheating & the evidence is present is = P(YX)



The probabilities of not involved in cheating & the evidence are present is:


(b)
The required probability that the evidence is present is:
P(YX or Y'X) = 0.006 + 0.000099
P(YX or Y'X) = 0.006099
(c)
The required probability that (S) cheat provided the evidence being present is:
Using Bayes Theorem



Answer:
A. 10 weeks
Step-by-step explanation:
Oliver Marie
Starting 300 200
week 1 310 220
week 2 320 240
week 3 330 260
week 4 340 280
week 5 350 300
week 6 360 320
week 7 370 340
week 8 380 360
week 9 390 380
week 10 400 400
Answer:
20 the answer is 20 because you plug in 4 for n.