Question

The probability of it raining today is . Find the probability that it will not rain today​

Answer 1

Answer:

Let E denote an event and

E

ˉ

denote its complement.

It follows that: P(

E

ˉ

)=1−P(E)

Therefore, probability of not raining=1−0.84=

0.16

Answer 2

Answer:

Given this: If the probability of rain in a given day is 0.65, what are the odds that it will rain today ?

Would I setup as P(A) = it rains 65% But with the missing today forecast, what and how would I setup P() for the conditional? Is not this answer just, since in a given day the probability is 65%, then the odds for rain today is 65%?

P(rain tomorrow|rain today)=P(rain tomorrow | rain today)P(rain today) = (0.65 * 0.65) / 0.65 = 0.65. For this 65%, I will assume that we can only make at best an educated estimate or educated (or ignorant) guess base upon this one dimension data P(A); as missing event data may constitute an different estimate or confident for the event of rain today.