Module: Abingo::Statistics
- Included in:
- Experiment
- Defined in:
- lib/abingo/statistics.rb
Overview
Designed to be included into Abingo::Experiment, but you can feel free to adapt this to anything you want.
Constant Summary collapse
- HANDY_Z_SCORE_CHEATSHEET =
[[0.10, 1.29], [0.05, 1.65], [0.01, 2.33], [0.001, 3.08]]
- PERCENTAGES =
{0.10 => '90%', 0.05 => '95%', 0.01 => '99%', 0.001 => '99.9%'}
- DESCRIPTION_IN_WORDS =
{0.10 => 'fairly confident', 0.05 => 'confident', 0.01 => 'very confident', 0.001 => 'extremely confident'}
Instance Method Summary collapse
- #describe_result_in_words ⇒ Object
- #is_statistically_significant?(p = 0.05) ⇒ Boolean
- #p_value ⇒ Object
- #pretty_conversion_rate ⇒ Object
- #zscore ⇒ Object
Instance Method Details
#describe_result_in_words ⇒ Object
56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
# File 'lib/abingo/statistics.rb', line 56 def describe_result_in_words begin z = zscore rescue return "Could not execute the significance test because one or more of the alternatives has not been seen yet." end p = p_value words = "" if (alternatives[0].participants < 10) || (alternatives[1].participants < 10) words += "Take these results with a grain of salt since your samples are so small: " end alts = alternatives - [best_alternative] worst_alternative = alts.first words += "The best alternative you have is: [#{best_alternative.content}], which had " words += "#{best_alternative.conversions} conversions from #{best_alternative.participants} participants " words += "(#{best_alternative.pretty_conversion_rate}). The other alternative was [#{worst_alternative.content}], " words += "which had #{worst_alternative.conversions} conversions from #{worst_alternative.participants} participants " words += "(#{worst_alternative.pretty_conversion_rate}). " if (p.nil?) words += "However, this difference is not statistically significant." else words += "This difference is #{PERCENTAGES[p]} likely to be statistically significant, which means you can be " words += "#{DESCRIPTION_IN_WORDS[p]} that it is the result of your alternatives actually mattering, rather than " words += "being due to random chance. However, this statistical test can't measure how likely the currently " words += "observed magnitude of the difference is to be accurate or not. It only says \"better\", not \"better " words += "by so much\"." end words end |
#is_statistically_significant?(p = 0.05) ⇒ Boolean
48 49 50 |
# File 'lib/abingo/statistics.rb', line 48 def is_statistically_significant?(p = 0.05) p_value <= p end |
#p_value ⇒ Object
34 35 36 37 38 39 40 41 42 43 44 45 46 |
# File 'lib/abingo/statistics.rb', line 34 def p_value index = 0 z = zscore z = z.abs found_p = nil while index < HANDY_Z_SCORE_CHEATSHEET.size do if (z > HANDY_Z_SCORE_CHEATSHEET[index][1]) found_p = HANDY_Z_SCORE_CHEATSHEET[index][0] end index += 1 end found_p end |
#pretty_conversion_rate ⇒ Object
52 53 54 |
# File 'lib/abingo/statistics.rb', line 52 def pretty_conversion_rate sprintf("%4.2f%%", conversion_rate * 100) end |
#zscore ⇒ Object
12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
# File 'lib/abingo/statistics.rb', line 12 def zscore if alternatives.size != 2 raise "Sorry, can't currently automatically calculate statistics for A/B tests with > 2 alternatives." end if (alternatives[0].participants == 0) || (alternatives[1].participants == 0) raise "Can't calculate the z score if either of the alternatives lacks participants." end cr1 = alternatives[0].conversion_rate cr2 = alternatives[1].conversion_rate n1 = alternatives[0].participants n2 = alternatives[1].participants numerator = cr1 - cr2 frac1 = cr1 * (1 - cr1) / n1 frac2 = cr2 * (1 - cr2) / n2 numerator / ((frac1 + frac2) ** 0.5) end |