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Matematyka

Confidence Interval Calculator

Confidence Interval Calculator

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We're working on a comprehensive educational guide for the Confidence Interval Calculator in your language. The content below is shown in English.

Czym jest Confidence Interval Calculator?

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A confidence interval (CI) gives a range within which the true population parameter falls with a specified probability. A 95% CI means: if the experiment were repeated many times, 95% of CIs would contain the true value.

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Wzór

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f(x)CI = x̄ ± z × (σ/√n), where z=1.96 for 95% CI, z=2.576 for 99% CI

Opis zmiennych

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SymbolImięJednostkaOpis
x̄Sample meanvalue—
σStandard deviationvalue—
nSample sizecount—
zZ-scorestandard deviations—

Jak Confidence Interval Calculator

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  1. 1CI = x̄ ± z × (σ/√n)
  2. 2z = 1.96 for 95% CI; 2.576 for 99% CI
  3. 3Width depends on sample size n and standard deviation σ
  4. 4Larger sample → narrower interval → more precise estimate

Rozwiązane przykłady

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Przykład 1
Dane:Mean 50, SD 10, n=100, 95% CI
Wynik:CI = 50 ± 1.96×(10/√100) = 50 ± 1.96 = [48.04, 51.96]

Zastosowania praktyczne

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Medical research and clinical trials

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Quality control in manufacturing

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Public opinion polling

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A/B testing in web design

Common Confidence Levels

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Confidence levelz valueInterpretation
90%1.645Wide interval, less certain
95%1.960Standard in most research
99%2.576Narrow claims need this
99.9%3.291Used for safety-critical decisions

Często zadawane pytania

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Q

What does a 95% confidence interval mean?

A

If repeated many times, 95% of intervals would contain the true population parameter. Not 95% chance this specific interval does.

Q

When should I use 99% vs 95% CI?

A

99% is more conservative (wider). Use when high certainty needed (medical, safety). 95% standard in most research.

Q

How does sample size affect confidence intervals?

A

Larger samples narrow the interval (more precision). √n in denominator means doubling n tightens by √2.

Regional Guides

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Academic/Medical▾
95% CI standard; 99% for stricter contexts
Industrial QC▾
95% typical; 99.7% for critical processes
Survey research▾
95% CI with margin of error reporting
Accuracy-checked
Reviewed October 2026
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