Probability of rain this weeken?

  • Thread starter Thread starter TSN79
  • Start date Start date
  • Tags Tags
    Probability Rain
TSN79
Messages
422
Reaction score
0
Probability of rain this weeken??

If there is a 50% chance of rain on saturday, and the same on sunday, what's the probability of rain this weekend? The answer apparently is 75%, because three of four scenarios have rain. Following this theory, wouldn't you get the same answer if you asked "what's the probability of NO rain this weekend" ?
 
Physics news on Phys.org


Almost.

The only way you'd say "there was no rain this weekend" would be if it was fine all weekend.

This is why statistitians are usually much more precise in their language, vis:
There is a 0.75 probability that there is rain on at least one day this weekend
There is a 0.75 probability that there is at least one fine day this weekend but only 0.25 probability that it is fine all weekend long.

Similarly, there is only 0.25 prob that it will rain both days.

Of course, this calculation assumes that the rainfall events are independent.
 


Simon Bridge said:
Almost.

Of course, this calculation assumes that the rainfall events are independent.

Yes. Treating weather events closely related in time as independent events is inappropriate. Lacking a fully deterministic theory for such events, correlations are determined from long term data.
 


John Paulos (Innumeracy) uses the problem as an example... there it is represented as a reaction to a weather report: there's a 50% chance of rain on Saturday and a 50% chance of rain on Sunday, so there is a 100% chance of rain this weekend.

But what did the meteorologist mean? Perhaps there was, indeed, going to be rain in the weekend with equal chances of falling on either day? This, or something like it, may well have been the case if that worthy had indeed taken into account long-term data. So perhaps John shouldn't have scoffed?
 


Simon Bridge said:
John Paulos (Innumeracy) uses the problem as an example... there it is represented as a reaction to a weather report: there's a 50% chance of rain on Saturday and a 50% chance of rain on Sunday, so there is a 100% chance of rain this weekend.

But what did the meteorologist mean? Perhaps there was, indeed, going to be rain in the weekend with equal chances of falling on either day? This, or something like it, may well have been the case if that worthy had indeed taken into account long-term data. So perhaps John shouldn't have scoffed?

This is just ignorance of probability on Paulos's part. If the events were independent, the probability of rain on the weekend is the sum for two independent events:

0.5 + 0.5 - (0.5)(0.5) = 0.75

Also, it's not just long term data involved in predictions. There are good theories about the behavior of weather systems, but predictions always carry a degree of uncertainty.
 
Last edited:


SW VandeCarr said:
This is just ignorance of probability on Paulos's part.
Somehow I doubt that :)
John Allen Paulos (born July 4, 1945) is a professor of mathematics at Temple University in Philadelphia who has gained fame as a writer and speaker on mathematics and the importance of mathematical literacy. His book Innumeracy: Mathematical Illiteracy and its Consequences (1988) was an influential bestseller and A Mathematician Reads the Newspaper (1995) extended the critique.
http://en.wikipedia.org/wiki/John_Allen_Paulos
... he was using as an example of the sort of mistake he sees often.
 
Namaste & G'day Postulate: A strongly-knit team wins on average over a less knit one Fundamentals: - Two teams face off with 4 players each - A polo team consists of players that each have assigned to them a measure of their ability (called a "Handicap" - 10 is highest, -2 lowest) I attempted to measure close-knitness of a team in terms of standard deviation (SD) of handicaps of the players. Failure: It turns out that, more often than, a team with a higher SD wins. In my language, that...
Hi all, I've been a roulette player for more than 10 years (although I took time off here and there) and it's only now that I'm trying to understand the physics of the game. Basically my strategy in roulette is to divide the wheel roughly into two halves (let's call them A and B). My theory is that in roulette there will invariably be variance. In other words, if A comes up 5 times in a row, B will be due to come up soon. However I have been proven wrong many times, and I have seen some...

Similar threads

Back
Top