Given: A well-shuffled deck of 52 playing cards.
Step 1: Understanding Face and Non-Face Cards
- A deck has 52 cards.
- Face cards: Jacks, Queens, and Kings.
- There are 3 face cards per suit (Hearts, Diamonds, Clubs, Spades).
- Total face cards = \( 3 \times 4 = 12 \).
- Non-face cards = \( 52 - 12 = 40 \).
Step 2: Finding the Probability
\[ P(\text{Non-face card}) = \frac{\text{Number of non-face cards}}{\text{Total number of cards}} \] \[ = \frac{40}{52} = \frac{10}{13} \]
Final Answer: \(\frac{10}{13}\)
In a standard deck of 52 playing cards, there are face cards and non-face cards.
A face card is defined as any card that is a Jack, Queen, or King. Each suit (Hearts, Diamonds, Clubs, Spades) contains 3 face cards: Jack, Queen, King.
Therefore, there are \(3 \times 4 = 12\) face cards in a deck.
To find the number of non-face cards, subtract the number of face cards from the total number of cards in the deck:
\(52 - 12 = 40\) non-face cards.
The probability of drawing a non-face card is the number of non-face cards divided by the total number of cards:
\(\frac{40}{52}\).
Simplifying this fraction by dividing both the numerator and the denominator by their greatest common divisor, which is 4:
\(\frac{40 \div 4}{52 \div 4} = \frac{10}{13}\).
Therefore, the probability of drawing a non-face card from a well-shuffled deck of 52 playing cards is \(\frac{10}{13}\).
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 \( A_2 \)?