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

One Sample Test
https://github.com/steviecurran/one-sample

ab-testing confidence-intervals normal-distribution samples significance statistics students-t

Last synced: about 2 months ago
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One Sample Test

• Host: GitHub
• URL: https://github.com/steviecurran/one-sample
• Owner: steviecurran
• Created: 2024-06-05T04:20:29.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-16T22:55:16.000Z (7 months ago)
• Last Synced: 2024-06-16T23:45:45.426Z (7 months ago)
• Topics: ab-testing, confidence-intervals, normal-distribution, samples, significance, statistics, students-t
• Language: Python
• Homepage:
• Size: 6.84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# one-sample

One Sample Test 

Python code to give the confidence interval for a one 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. 

30 data points ranging from 80740 to 117313.0, mean = 100200.37, SD = 11285.48 (pop) 11478.41 (samp)

Plot histogram [y/n]? n

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

Sample size >= 30 so using z-value

For 99.00% confidence, z = 2.570, giving mean diff of 100200.37 +/- 5384.80 (94815.57 to 105585.17)

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