When calculating probabilities in scenarios involving days of the week or cycles, it's useful to identify the total number of possible outcomes and then determine the favorable outcomes. In this case, the extra days in a leap year determine whether there will be an additional Tuesday. By listing the possible pairs of extra days, you can easily count the favorable cases and compute the probability accordingly.
In a leap year, there are 366 days, which consist of 52 complete weeks plus 2 extra days.
These 2 extra days can be:
To have 53 Tuesdays in a leap year, one of the two extra days must be a Tuesday. Thus, favorable outcomes are:
So, the probability of getting 53 Tuesdays is: \(\frac{2}{7}\)
Thus, the probability of not getting 53 Tuesdays is: \(\frac{5}{7} = 1 - \frac{2}{7}\)
This confirms the probability of not getting 53 Tuesdays in a leap year is: \(\frac{5}{7}\)
In a leap year, there are 366 days. This is equivalent to:
366 days = 52 full weeks + 2 extra days.
These extra days can be any pair of consecutive days: Sunday-Monday, Monday-Tuesday, Tuesday-Wednesday, Wednesday-Thursday, Thursday-Friday, Friday-Saturday, or Saturday-Sunday.
Counting the number of Tuesdays:
Since each full week contains exactly one Tuesday, there are 52 Tuesdays in a leap year.
The extra two days can either be Sunday-Monday, Monday-Tuesday, Tuesday-Wednesday, Wednesday-Thursday, Thursday-Friday, Friday-Saturday, or Saturday-Sunday.
In two of these pairs—Monday-Tuesday and Tuesday-Wednesday—there is an additional Tuesday. Therefore, there are two possible cases where there can be 53 Tuesdays in a leap year.
Probability of not getting 53 Tuesdays:
To avoid having 53 Tuesdays, the extra two days must not include a Tuesday. The possible pairs of extra days where this condition holds are: Sunday-Monday, Wednesday-Thursday, Thursday-Friday, Friday-Saturday, and Saturday-Sunday. There are 5 such pairs out of the 7 total possibilities.
Thus, the probability of not getting 53 Tuesdays is:
\[ P(\text{not getting 53 Tuesdays}) = \frac{5}{7}. \]
The correct answer is: \[ \frac{5}{7}. \]
Based upon the results of regular medical check-ups in a hospital, it was found that out of 1000 people, 700 were very healthy, 200 maintained average health and 100 had a poor health record.
Let \( A_1 \): People with good health,
\( A_2 \): People with average health,
and \( A_3 \): People with poor health.
During a pandemic, the data expressed that the chances of people contracting the disease from category \( A_1, A_2 \) and \( A_3 \) are 25%, 35% and 50%, respectively.
Based upon the above information, answer the following questions:
(i) A person was tested randomly. What is the probability that he/she has contracted the disease?}
(ii) Given that the person has not contracted the disease, what is the probability that the person is from category \( A_2 \)?