1. Understand the problem:
We need the probability that at least one odd number appears when a die is thrown 10 times.
2. Calculate the probability of the complement event:
The probability of no odd numbers (i.e., all even numbers) in 10 throws:
\[ P(\text{all even}) = \left(\frac{3}{6}\right)^{10} = \left(\frac{1}{2}\right)^{10} = \frac{1}{1024} \]
3. Compute the desired probability:
\[ P(\text{at least one odd}) = 1 - P(\text{all even}) = 1 - \frac{1}{1024} = \frac{1023}{1024} \]
4. Match the result to the options:
The probability \( \frac{1023}{1024} \) corresponds to option (C).
Correct Answer: (C) \( \frac{1023}{1024} \)
A standard die has 6 faces ($ 1, 2, 3, 4, 5, 6 $). There are 3 odd numbers ($ 1, 3, 5 $) and 3 even numbers ($ 2, 4, 6 $).
The probability of getting an even number (not odd) on a single throw is:
$$ \frac{3}{6} = \frac{1}{2}. $$
Since each throw is independent, the probability of getting an even number on all 10 throws is $ \left(\frac{1}{2}\right) $ multiplied by itself 10 times:
$$ \left(\frac{1}{2}\right)^{10} = \frac{1}{1024}. $$
This is the complement of getting all even numbers. Subtract the probability of getting all even numbers from 1:
$$ 1 - \frac{1}{1024} = \frac{1023}{1024}. $$
The probability of getting at least one odd number in 10 throws is $ \frac{1023}{1024} $.
Therefore, the answer is $ \boxed{\text{(C)}} $.
Directions: In Question Numbers 19 and 20, a statement of Assertion (A) is followed by a statement of Reason (R).
Choose the correct option from the following:
(A) Both Assertion (A) and Reason (R) are true and Reason (R) is the correct explanation of Assertion (A).
(B) Both Assertion (A) and Reason (R) are true, but Reason (R) is not the correct explanation of Assertion (A).
(C) Assertion (A) is true, but Reason (R) is false.
(D) Assertion (A) is false, but Reason (R) is true.
In an experiment of throwing a die,
Assertion (A): Event $E_1$: getting a number less than 3 and Event $E_2$: getting a number greater than 3 are complementary events.
Reason (R): If two events $E$ and $F$ are complementary events, then $P(E) + P(F) = 1$.