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此计算器目前以英文显示,翻译正在准备中。

统计与概率

已验证计算器,公式透明

统计与概率

Complementary Probability Calculator.

Calculates the probability that an event does NOT occur, given the probability that it does occur.

结果随输入实时更新。
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您的输入

工作原理

  1. 1

    Enter the probability of the event occurring as a percentage.

  2. 2

    Subtract that value from 100.

  3. 3

    The result is the probability that the event does not occur.

100 - event_probability

常见问题

What does complementary probability mean?

It is the probability that an event does not happen, equal to 1 minus the event probability.

Can I enter a probability greater than 100%?

No, probabilities must be between 0% and 100%.

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结果

公式已检查

Complementary probability

70%

询问任何问题

估算仅供参考——重要决策请咨询专业人士。

工作原理

Calculates the probability that an event does NOT occur, given the probability that it does occur.

  1. Enter the probability of the event occurring as a percentage.
  2. Subtract that value from 100.
  3. The result is the probability that the event does not occur.

公式

此计算器背后的数学公式,供您核对结果。

Complementary rule

P(not A) = 1 - P(A)

The probability of the complement is one minus the probability of the event.

Example:

Input: P(A) = 0.30

Calculation: 1 - 0.30

Result: 0.70

实际应用场景

此计算在日常生活中的应用。

Quality control

Estimate the chance a product is not defective given the defect rate.

Example: Defect rate 2% → 98% non-defective.

Risk assessment

Find the probability of no failure when failure probability is known.

Example: Failure 5% → 95% no failure.

提示与常见错误

Tips

  • Always express probabilities as percentages or decimals consistently.
  • The complement of an event includes all other possible outcomes.
  • Check that your input is between 0 and 100.

Common Mistakes to Avoid

  • Forgetting to subtract from 100 when using percentages.
  • Using decimals instead of percentages without converting.
  • Assuming complementary probability is the same as odds.

假设与限制

  • Use the stated inputs and units.
  • Results are estimates for planning and education.
  • Check measurements and source data before making an important decision.