Let me give you a simple answer first and two deep answers next.
Simple answer is, assuming that all months have the same number of days (which is very approximately true), 1/12.
If you want a slightly deeper answer, then 31/365 or 31/366 is correct, depending upon whether the year is a normal year or a leap year.
The correct answer, which might be argued as "philosophical", is as follows:
The Gregorian calender, the current standard calender in most of the world, adds a 29th day to February, 97 years out of 400, a closer approximation than once every four years. This would be implemented by making a leap year every year divisible by 4 unless that year is divisible by 100. If it is divisible by 100 it would only be a leap year if that year was also divisible by 400.So, in the last millennium, 1600 and 2000 were leap years, but 1700, 1800, and 1900 were not. In this millennium, 2100, 2200, 2300, 2500, 2600, 2700, 2900 and 3000 will not be leap years, but 2400 and 2800 will be. The years that are divisible by 100 but not 400 are known as "exceptional common years". By this rule, the average number of days per year will be 365 + 1/4 - 1/100 + 1/400 = 365.2425.In 400 years, thereforethere are 303 normal years and97 leap yearsTotal number of days in 303 years110,595 days(normal years)Total number of days in 97 years35,502 days(leap years)Total number of days146,097 daysTotal number of August months400(in 400 years)Total number of days in August in12,400400 yearsProbability that a person is 0.084875 or 1 in11.78202born in August (=12,400 / 146,097) or 31 in365.24251 / 12 =0.08333331 / 365 =0.08493231 / 366 =0.084699
There are assumptions in the above answer as well. These are
1. That all days in a year have the equal probability (which is not strictly true, as records of births will be required for verification)
2. The Gregorian calender has been in effect since 1700s. The probability as above will only work for years after the introduction of Gregorian calender.
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%
1 out of 7 I think so!
The probability of a single point being chosen is 0.The probability of a single point being chosen is 0.The probability of a single point being chosen is 0.The probability of a single point being chosen is 0.
1- P(identical) - P(fraternal) =1-0.004-0.023 =0.973 The probability of being a identical or fraternal twin plus the probability of not being a twin has to add to 1. so 1- probability of being twins=probability of not being a twin ;-)
the probability is 1(being the maximum)- the probability you have allredy got. the answer is 0.6
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%
1 out of 7 I think so!
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
364 out of 365
you wont get your birthday every year
The probability of a single point being chosen is 0.The probability of a single point being chosen is 0.The probability of a single point being chosen is 0.The probability of a single point being chosen is 0.
1- P(identical) - P(fraternal) =1-0.004-0.023 =0.973 The probability of being a identical or fraternal twin plus the probability of not being a twin has to add to 1. so 1- probability of being twins=probability of not being a twin ;-)
Fraction:1/1461 Decimal:0.00068446269678302532511978097193703 Percentage:0.068446269678302532511978097193703%
Just over 7 out of 12.
the probability is 1(being the maximum)- the probability you have allredy got. the answer is 0.6
That depends on many factors. For example, if you are a $1 bill, the probability is quite high, whereas if you are a human being, the probability is quite low.
No, it is false. There is a nearly equal probability of being born at any time day or night.