Answer:
You would get tails 75 times, or 75:200
Step-by-step explanation:
5:8 = x:200
multiply 8 by 25 to get 200
multiply 5 by 25 to get x (125)
Probability to get heads is 125 so subtract 200 by 125
200 - 125 = 75
Answer:
dollar amount in decimal is 0.55
in fraction form is 11/20
Answer:
Kindly check explanation
Step-by-step explanation:
Given the following information :
Number of oranges Ramona needs to harvest in other to cover the cost of running the orange Grove = 2616
Average number of oranges each tree bears = 62
Oranges needed for charity donation = 360
Number of orange trees needed in the Grove :
Total number of oranges needed :
(Charity + running the Grove)
(360 + 2616) = 2976 oranges
Number of trees needed = total number of oranges needed / average number of oranges beared per tree
Number of trees needed = 2976 / 62
= 48 trees
Number of trees needed ≥ 48
Answer:
I believe it is 0.5
Step-by-step explanation:
If you flip a normal coin (called a “fair” coin in probability parlance), you normally have no way to predict whether it will come up heads or tails. Both outcomes are equally likely. There is one bit of uncertainty; the probability of a head, written p(h), is 0.5 and the probability of a tail (p(t)) is 0.5. The sum of the probabilities of all the possible outcomes adds up to 1.0, the number of bits of uncertainty we had about the outcome before the flip. Since exactly one of the four outcomes has to happen, the sum of the probabilities for the four possibilities has to be 1.0. To relate this to information theory, this is like saying there is one bit of uncertainty about which of the four outcomes will happen before each pair of coin flips. And since each combination is equally likely, the probability of each outcome is 1/4 = 0.25. Assuming the coin is fair (has the same probability of heads and tails), the chance of guessing correctly is 50%, so you'd expect half the guesses to be correct and half to be wrong. So, if we ask the subject to guess heads or tails for each of 100 coin flips, we'd expect about 50 of the guesses to be correct. Suppose a new subject walks into the lab and manages to guess heads or tails correctly for 60 out of 100 tosses. Evidence of precognition, or perhaps the subject's possessing a telekinetic power which causes the coin to land with the guessed face up? Well,…no. In all likelihood, we've observed nothing more than good luck. The probability of 60 correct guesses out of 100 is about 2.8%, which means that if we do a large number of experiments flipping 100 coins, about every 35 experiments we can expect a score of 60 or better, purely due to chance.
Answer:
yes
Step-by-step explanation:
0.045 is greater than 0.00195
