https://github.com/steviecurran/two-sample

Two sample test
https://github.com/steviecurran/two-sample

ab-testing confidence-intervals hypothesis-testing normal-distribution sample-tests statistics students-t

Last synced: about 2 months ago
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Two sample test

• Host: GitHub
• URL: https://github.com/steviecurran/two-sample
• Owner: steviecurran
• Created: 2024-06-16T22:36:58.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-16T22:56:04.000Z (7 months ago)
• Last Synced: 2024-06-16T23:40:50.836Z (7 months ago)
• Topics: ab-testing, confidence-intervals, hypothesis-testing, normal-distribution, sample-tests, statistics, students-t
• Language: Python
• Homepage:
• Size: 10.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# two-sample

Two sample test 

Python code to give the confidence interval for two sample test.

Uses z and t-distributions, without the need of look-up tables

Data can be extracted any column in an ascii for csv files.

E.g. Data wtih the two samples to compare? 3.15_apples.dat

For NY -  n = 10, mean = 3.941, SD = 0.184 [sample]

For LA -  n = 8, mean = 3.245, SD = 0.268 [sample]

Level of confidence [e.g. 95, 99, 99.9% - z = 3 sigma is 99.75]? 95

At least one sample size < 30 so using t-value

Variance ratio is 0.47,

Assume equal sample variances (for ratio between 0.5 and 2 can assume equal) [y/n]? y

For 95.00% confidence (16 DoFs), t-value is 2.120, giving mean diff of 0.70 +/- 0.23 (0.47 to 0.92)

For 99.90% confidence (16 DoFs), t-value is 4.006, giving mean diff of 0.70 +/- 0.43 (0.27 to 1.12)

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For one sample version see https://github.com/steviecurran/one-sample