Let represent the number of heads. Then,Originally Posted by aptiva
Thus,
probability of
losing 1.50 is .0037
gaining nothing is .2222
winning 1.50 is .4444
wining 3 is .2963
I need help with the following question:
A coin is biased to show heads twice as often as it shows tails. You toss this coin 3 times and win 1 dollar each time it shows tails but lose 50 cents each time it shows heads.
a) What is the probability distribution of X: the amount of money you could win or lose in 3 tosses?
b) On average, how much money would you win or lose each time you toss this coin 3 times?
c) Express the maximum amount of money you could win in 3 tosses of this coin as a Z-score?
a) X{-1.50, 0, 1.50, 3.00}, p(X) {0.2963, 0.4444, 0.2222, 0.037}
b) mu = 0
c) Z=2.45
Hello,Originally Posted by aptiva
you deal with binomial distribution. The probability that the result X happens exactly k-times is with your problem:
Plug in the values 0, 1, 2, 3 for k and you'll get the probabilities which ThePerfectHacker had already calculated.
For instance: k = 0:
=
Greetings
EB