Template:ConfidenceInterval: Difference between revisions

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m (a few more examples to show the flooring at 3 successes)
m (added trivial case of zero sample to return nothing at all)
 
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If no sample at all, return nothing
-->{{#ifeq:{{{2}}}|0||<!--
standard case: return an estimation of the 95% confidence interval
standard case: return an estimation of the 95% confidence interval
-->{{#ifexpr: {{{1}}} > 3 and {{{1}}} < ({{{2}}} - 3) |+/-{{#expr: 100*(1.96 * (sqrt (({{{1}}} / {{{2}}}) * (1-({{{1}}} / {{{2}}})) / {{{2}}} ))) round {{{digits|1}}}}}<!--
-->{{#ifexpr: {{{1}}} > 3 and {{{1}}} < ({{{2}}} - 3) |+/-{{#expr: 100*(1.96 * (sqrt (({{{1}}} / {{{2}}}) * (1-({{{1}}} / {{{2}}})) / {{{2}}} ))) round {{{digits|1}}}}}<!--
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==Usage==
==Usage==
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*0 success on 365 draws represents a success rate of ({{#expr: 100*(0/365)}}{{ConfidenceInterval|0|365}})%
*0 success on 365 draws represents a success rate of ({{#expr: 100*(0/365)}}{{ConfidenceInterval|0|365}})%
*100 success on 10 draws represents a success rate of ({{#expr: 100*(100/10)}}{{ConfidenceInterval|100|10}})% (this is a case where the confidence interval makes no sense, thus it is not reported if k > n).
*100 success on 10 draws represents a success rate of ({{#expr: 100*(100/10)}}{{ConfidenceInterval|100|10}})% (this is a case where the confidence interval makes no sense, thus it is not reported if k > n).
*Trivial case of zero sized sample returns nothing at all:
<pre>{{ConfidenceInterval|0|0}}</pre>
{{ConfidenceInterval|0|0}}

Latest revision as of 20:46, 12 January 2024


Usage

Calculates the 95% confidence interval for inputs k successes on n total number of draws. Returns a percentage value without % sign with one decimal (if more or less digits are desired, use the digits argument).

{{ConfidenceInterval|k|n}}
  • 50 success on 100 draws represents a success rate of (50+/-9.8)%
  • 250 success on 500 draws represents a success rate of (50+/-4.4)%
  • 50 success on 500 draws represents a success rate of (10+/-2.62962)% (displaying up to 5 digits with the digits argument here).
  • 100 success on 100 draws represents a success rate of (100+/-3)%
  • 0 success on 100 draws represents a success rate of (0+/-3)%
  • 1 success on 100 draws represents a success rate of (1+/-3)%
  • 2 successes on 100 draws represents a success rate of (2+/-3)%
  • 3 successes on 100 draws represents a success rate of (3+/-3)%
  • 4 successes on 100 draws represents a success rate of (4+/-3.8)%
  • 4765 success on 4765 draws represents a success rate of (100+/-0.1)%
  • 0 success on 365 draws represents a success rate of (0+/-0.8)%
  • 100 success on 10 draws represents a success rate of (1000)% (this is a case where the confidence interval makes no sense, thus it is not reported if k > n).
  • Trivial case of zero sized sample returns nothing at all:
{{ConfidenceInterval|0|0}}