364 out of 365
If both parents are carriers of PKU (phenylketonuria), each child has a 25% chance of being affected by the condition, a 50% chance of being a carrier, and a 25% chance of being unaffected. For three children, the probability of at least one child being born with PKU can be calculated using the complementary probability. The probability of none of the three children being affected is (75%)^3, which is about 42.2%. Therefore, the probability of at least one child having PKU is about 57.8%.
The probability of two people's birthday being the same is actually more likely than many would think. The key thing is to note that it doesn't matter what the first person's birthday is. All we need to work out is the probability that the second person has a birthday on any specific day. This probability is 1/365.25 The probability that they were born on June 10th is 1/365.25. The probability that they were born on February 2nd is 1/365.25 and the probability that they were born on the same day as you is 1/365.25
Births are not distributed uniformly over days of the week: there are fewer births at weekends. However, if you do assume that the distribution is uniform, then the probability is 6!/76 = 5040/117649 = 0.0428
Fraction:1/1461 Decimal:0.00068446269678302532511978097193703 Percentage:0.068446269678302532511978097193703%
Just over 7 out of 12.
if we assume that the probability for a girl being born is the same as a boy being born: (1/2)^6 = 0.015625 = 1.5625%
The same as 11th sep 1979 born persons The same as 12th oct 1980 born persons The same as 13th nov 1981 born persons The same as 14th dec 1982 born persons The same as 15th Jan 1983 born persons The same as 16th feb 1984 born persons The same as 17th mar 1985 born persons The same as 18th apr 1986 born persons The same as 19th may 1987 born persons That being, that they are all persons - humans. The time of a birth will not affect one's "characteristics"... just the time period in which they will experience events. A man born in September is no different than a woman born in March... except for the gonads, perhaps.
1 out of 7 I think so!
If both parents are carriers of PKU (phenylketonuria), each child has a 25% chance of being affected by the condition, a 50% chance of being a carrier, and a 25% chance of being unaffected. For three children, the probability of at least one child being born with PKU can be calculated using the complementary probability. The probability of none of the three children being affected is (75%)^3, which is about 42.2%. Therefore, the probability of at least one child having PKU is about 57.8%.
The probability of two people's birthday being the same is actually more likely than many would think. The key thing is to note that it doesn't matter what the first person's birthday is. All we need to work out is the probability that the second person has a birthday on any specific day. This probability is 1/365.25 The probability that they were born on June 10th is 1/365.25. The probability that they were born on February 2nd is 1/365.25 and the probability that they were born on the same day as you is 1/365.25
Births are not distributed uniformly over days of the week: there are fewer births at weekends. However, if you do assume that the distribution is uniform, then the probability is 6!/76 = 5040/117649 = 0.0428
you wont get your birthday every year
The answer depends on exactly what you means by "from" Bethlehem: born in Bethlehem or currently living in Bethlehem. If he first, then let X = All persons born in Bethlehem. Y = All persons born in Israel. The probability of a person born is Israel being from Bethlehem is X/Y. There is probably a need for a correction, though. What about people born in Bethlehem before 1948. Whatever your political angle, they were not born in Israel because Israel did not exist as a state that time!
Being born with certain genes.
For ease of answering, we will work under the assumption that the probability of someone being born within any given month is equal to that of any other month. Allowing that assumption, we can look at that question a slightly different way and say "What is the probability that all people in a group of six would each be born in a different month?" The answer to that would be 12/12 * 11/12 * 10/12 * 9/12 * 8/12 * 7/12, which can also be expressed as (12! / 6!) / 126, and comes out to 665280 / 2985984, which equals 385 / 1728. The probability of at least two being being born in the same month would then be: 1 - 385 / 1728 = 1343 / 1728 ≈ 0.7772, or approximately 77.72%
Fraction:1/1461 Decimal:0.00068446269678302532511978097193703 Percentage:0.068446269678302532511978097193703%
Just over 7 out of 12.