What is the probability that a leap year has 53 Sundays?
$\frac{4}{7}$
A leap year contains 366 days instead of the usual 365. This extra day is added to the month of February (29 days instead of 28) to keep our calendar in alignment with Earth's revolutions around the Sun.
When we divide 366 days by 7 (the number of days in a week), we get:
366 = 52 weeks + 2 extra days
This means that in a leap year, there are exactly 52 full weeks and 2 leftover days.
Since each week has one Sunday, the 52 complete weeks ensure there are exactly 52 Sundays in every leap year without exception. The possibility of having 53 Sundays depends entirely on the 2 extra days.
The two extra days can occur in the following combinations:
(Sunday, Monday), (Monday, Tuesday), (Tuesday, Wednesday), (Wednesday, Thursday), (Thursday, Friday), (Friday, Saturday), (Saturday, Sunday).
For a leap year to have 53 Sundays, one of the two extra days must be a Sunday. This happens in exactly two favorable cases:
The total possible arrangements of the 2 extra days is 7 (one for each possible starting day of the year). The number of favorable arrangements is 2.
Therefore, the probability is:
Probability = (Number of favorable cases) / (Total possible cases) = 2 / 7
The probability that a leap year contains 53 Sundays is:
⅔ / 7 or 2/7. This matches Option (2) in multiple-choice formats
Four students of class XII are given a problem to solve independently. Their respective chances of solving the problem are: \[ \frac{1}{2},\quad \frac{1}{3},\quad \frac{2}{3},\quad \frac{1}{5} \] Find the probability that at most one of them will solve the problem.
Two persons are competing for a position on the Managing Committee of an organisation. The probabilities that the first and the second person will be appointed are 0.5 and 0.6, respectively. Also, if the first person gets appointed, then the probability of introducing a waste treatment plant is 0.7, and the corresponding probability is 0.4 if the second person gets appointed.
Based on the above information, answer the following
The probability distribution of a random variable \( X \) is given below:
\( X \) | 1 | 2 | 4 | 2k | 3k | 5k |
---|---|---|---|---|---|---|
\( P(X) \) | \( \frac{1}{2} \) | \( \frac{1}{5} \) | \( \frac{3}{25} \) | \( \frac{1}{10} \) | \( \frac{1}{25} \) | \( \frac{1}{25} \) |