Answer:
4/4 as a decimal is 1.00 because 4/4 is one whole
Step-by-step explanation:
Answer: Our required probability is ![\dfrac{1}{2}](https://tex.z-dn.net/?f=%5Cdfrac%7B1%7D%7B2%7D)
Step-by-step explanation:
Since we have given that
Number of coins = 3
Number of coin has 2 heads = 1
Number of fair coins = 2
Probability of getting one of the coin among 3 = ![\dfrac{1}{3}](https://tex.z-dn.net/?f=%5Cdfrac%7B1%7D%7B3%7D)
So, Probability of getting head from fair coin = ![\dfrac{1}{2}](https://tex.z-dn.net/?f=%5Cdfrac%7B1%7D%7B2%7D)
Probability of getting head from baised coin = 1
Using "Bayes theorem" we will find the probability that it is the two headed coin is given by
![\dfrac{\dfrac{1}{3}\times 1}{\dfrac{1}{3}\times \dfrac{1}{2}+\dfrac{1}{3}\times \dfrac{1}{2}+\dfrac{1}{3}\times 1}\\\\=\dfrac{\dfrac{1}{3}}{\dfrac{1}{6}+\dfrac{1}{6}+\dfrac{1}{3}}\\\\=\dfrac{\dfrac{1}{3}}{\dfrac{2}{3}}\\\\=\dfrac{1}{2}](https://tex.z-dn.net/?f=%5Cdfrac%7B%5Cdfrac%7B1%7D%7B3%7D%5Ctimes%201%7D%7B%5Cdfrac%7B1%7D%7B3%7D%5Ctimes%20%5Cdfrac%7B1%7D%7B2%7D%2B%5Cdfrac%7B1%7D%7B3%7D%5Ctimes%20%5Cdfrac%7B1%7D%7B2%7D%2B%5Cdfrac%7B1%7D%7B3%7D%5Ctimes%201%7D%5C%5C%5C%5C%3D%5Cdfrac%7B%5Cdfrac%7B1%7D%7B3%7D%7D%7B%5Cdfrac%7B1%7D%7B6%7D%2B%5Cdfrac%7B1%7D%7B6%7D%2B%5Cdfrac%7B1%7D%7B3%7D%7D%5C%5C%5C%5C%3D%5Cdfrac%7B%5Cdfrac%7B1%7D%7B3%7D%7D%7B%5Cdfrac%7B2%7D%7B3%7D%7D%5C%5C%5C%5C%3D%5Cdfrac%7B1%7D%7B2%7D)
Hence, our required probability is ![\dfrac{1}{2}](https://tex.z-dn.net/?f=%5Cdfrac%7B1%7D%7B2%7D)
No, the answer is not ![\dfrac{1}{3}](https://tex.z-dn.net/?f=%5Cdfrac%7B1%7D%7B3%7D)
Answer:
i think if it were me i whould divide 300 dide 15
Step-by-step explanation:
Answer:
(2,0), (0,3), (1 3/5)
Step-by-step explanation:
Answer:
She didn't put the sign's in the proper place, it should be ( x + 3 ) ( x - 7 )
Step-by-step explanation:
( x - 3 ) ( x + 7 ) = x² + 7x - 3x - 21 = x² + 4x - 21
( x + 3 ) ( x - 7 ) = x² - 7x + 3x - 21 = x² - 4x - 21