Math Problem Statement

Two coins are tossed 1000 times, and the outcomes are recorded as given below: 兩枚硬幣被拋擲 1000 次,並記錄了如下結果。 两枚硬币被抛掷 1000 次,并记录了如下结果。 Number of tails 反面的數量 反面的数量 0 1 2 Frequency 次數 次数 320 352 328 Based on this information, find the probability of getting at least 1 head.

Solution

To find the probability of getting at least 1 head when two coins are tossed 1000 times, we can break the problem down step by step.

Given:

  • Total tosses: 1000
  • Outcomes for each toss (in terms of tails):
    • 0 tails (both heads): 320 times
    • 1 tail (1 head, 1 tail): 352 times
    • 2 tails (both tails): 328 times

Step 1: Find the number of occurrences with at least 1 head

  • At least 1 head means we exclude the case where both coins show tails (2 tails).
  • The number of times we get at least 1 head is simply the sum of the cases where there are 0 tails (both heads) and 1 tail: At least 1 head=0 tails+1 tail=320+352=672\text{At least 1 head} = \text{0 tails} + \text{1 tail} = 320 + 352 = 672

Step 2: Calculate the probability

The probability of getting at least 1 head is the ratio of favorable outcomes to total outcomes. So, the probability is: P(at least 1 head)=At least 1 headTotal tosses=6721000=0.672P(\text{at least 1 head}) = \frac{\text{At least 1 head}}{\text{Total tosses}} = \frac{672}{1000} = 0.672

Conclusion:

The probability of getting at least 1 head is 0.672 or 67.2%.


Would you like further details on any part of the calculation, or do you have any other questions related to probability?

Here are some related questions for deeper understanding:

  1. What is the probability of getting exactly 1 tail when tossing two coins?
  2. How do we compute the probability of getting exactly 2 tails?
  3. If the probability of getting heads on each toss was biased, how would that change the probability of getting at least 1 head?
  4. How can we generalize this to a situation with more than two coins?
  5. What is the expected number of heads in 1000 tosses of two coins?

Tip: When calculating probabilities, always be sure to clearly define the favorable outcomes and total outcomes to avoid confusion.

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Math Problem Analysis

Mathematical Concepts

Probability
Basic Statistics

Formulas

P(Event) = (Number of Favorable Outcomes) / (Total Outcomes)

Theorems

Basic Probability Theorem

Suitable Grade Level

Grades 6-8