Question
Question: The record of a weather station shows that out of the past 300 consecutive days, its weather was for...
The record of a weather station shows that out of the past 300 consecutive days, its weather was forecasted correctly 195 times. What is the probability that on a given day selected at random, it was not correct?$$$$
Solution
We take selection of a day out of the total 300 days with incorrect forecasting of weather at random as A. We find the number of days the weather was foretasted incorrectly as n(A). We have a total number of days as n(S)=300. The required probability is P(A)=n(S)n(A). $$$$
Complete step by step answer:
We know from definition of probability that if there is n(A) number of ways of event A occurring or number of favorable outcomes and n(S) is the size of the sample space or all possible outcomes, then the probability of the event A occurring is n(S)n(A).
We are given the question that the record of a weather station shows that out of the past 300 consecutive days, its weather was foretasted correctly 195 times. So the number of times the weather was foretasted incorrectly is $300-195=105$ times.
The event is a selection of a day out of the total 300 days at random. We are asked in the question to find the probability that on that day the weather was foretasted incorrectly. . Let us denote the event of selecting a day with incorrect forecasting as A. So we have a number of days where weather was foretasted incorrectly 105 times which is our number of favorable outcomes. So we have n(A)=105 . We can select the day from 300 days which is all possible outcomes. So we have n(S)=300.
So the required probability is,
P(A)=n(S)n(A)=300105=207=0.35
Note: We note that we are asked to find the probability of the selection of a day with incorrect forecasting not the probability of correct or incorrect forecasting in a particular day which is 21. We can alternatively solve by first finding the probability of selecting with correct forecasting B as P(B) and then probability of selecting with incorrect forecasting as 1−P(A) because both the events are mutually exclusive and exhaustive.