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📚 Python for Introductory Statistics
Chapters ▾
0. Why Learn Python?1. Introduction to Python2. Python Lists3. Python Syntax4. Python Loops5. Frequency Distributions and Graphs6. Measures of Center and Variation7. Measures of Position8. Discrete Probability Distributions9. Continuous Probability Distributions10. Confidence Intervals11. Hypothesis Testing12. Linear Regression and Correlation13. Analysis of Categorical Data14. Advanced Statistics TopicsAppendix 1: Python Installing StepsAppendix 2: Random Integer GeneratorAppendix 3: Counting, Permutations and CombinationsCode ReferencesResources

Margin of Error for Confidence Interval

from scipy import stats

Mean μ with z distribution with confidence level C, (population) standard deviation std and sample size n:

E = (std/n**.5)*stats.norm.ppf(C+(1-C)/2,0,1)

Mean μ with t distribution with confidence level C, sample standard deviation std and sample size n:

E = (std/n**.5)*stats.t.ppf(C+(1-C)/2,0,1)

Proportion p with z distribution with confidence level C, sample proportion p and sample size n:

E = (p(p*(1-p)/n)**.5)*stats.norm.ppf(C+(1-C)/2,0,1)

Adapted from Python for Introductory Statistics, by Simon Aman (Truman College, City Colleges of Chicago), licensed under CC BY 4.0. Changes were made: reformatted as an accessible XYZ web edition with live in-browser code cells. License: CC-BY-4.0.