Answer:

Explanation:
Let the event of raining on a day be success.
Then probability of success,

So, probability of failure is not raining on a day and is given as,

Now, number of days to check the probability of rain,

Now, probability of raining at most one day means number of success is either 0 or 1.
Using Bernoulli's distribution for


Therefore, the probability of at most one day of rain during the next three days is
