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: \[ \frac{5}{7}. \]
The probability of hitting the target by a trained sniper is three times the probability of not hitting the target on a stormy day due to high wind speed. The sniper fired two shots on the target on a stormy day when wind speed was very high. Find the probability that
(i) target is hit.
(ii) at least one shot misses the target. 
Smoking increases the risk of lung problems. A study revealed that 170 in 1000 males who smoke develop lung complications, while 120 out of 1000 females who smoke develop lung related problems. In a colony, 50 people were found to be smokers of which 30 are males. A person is selected at random from these 50 people and tested for lung related problems. Based on the given information answer the following questions: 
(i) What is the probability that selected person is a female?
(ii) If a male person is selected, what is the probability that he will not be suffering from lung problems?
(iii)(a) A person selected at random is detected with lung complications. Find the probability that selected person is a female.
OR
(iii)(b) A person selected at random is not having lung problems. Find the probability that the person is a male.