Find the indicated complement.
Based on meteorological records, the probability that it will snow in a certain town on January 1st is 0.477. Find the probability that in a given year it will not snow on January 1st in that town.
0.912
1.477
0.523
2.096

To find the complement of a probability, we use the formula:

\[
P(\text{not snowing}) = 1 - P(\text{snowing})
\]

Given that the probability of snowing on January 1st is \( P(\text{snowing}) = 0.477 \), the complement is:

\[
P(\text{not snowing}) = 1 - 0.477 = 0.523
\]

Thus, the probability that it will **not** snow on January 1st in a given year is \( \mathbf{0.523} \).

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### Related questions:
1. What is the sum of probabilities of complementary events?
2. How do you calculate the probability of a union of two independent events?
3. What is the interpretation of a probability of 0 and 1 in this context?
4. How does the complement rule apply to more complex weather patterns?
5. If the probability of snow increases to 0.6, what would the complement be?

**Tip:** The complement of an event always sums with the original event's probability to equal 1.

Based on meteorological records, the probability that it will snow in a certain town on January 1st is 0.477. Find the probability that in a given year it will not snow on January 1st in that town.

Learn how to calculate the complement of the probability of snow on January 1st in a given town, where the probability of snow is 0.477. This example explains the complement rule in probability, showing how to find the likelihood of the opposite event. Suitable for students in Grades 6-8.

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