The proposed talk on Inferential Statistics with Python at PyCon India 2017

1. INFERENTIAL STATISTICS
WITH PYTHON
ROUNAK BANIK & APOORVAAGARWAL

2. Statistics

3. Parts of Statistics

4. BRIEF PRIMER ON
DESCRIPTIVE STATISTICS

5. CentralTendencies

6. Measure of Spread

7. Probability and RandomVariables

8. Binomial Distribution

9. Normal Distribution

10. Z-Score

12. SAMPLING

13. Quality and Quantity

14. Various kinds of sampling bias
■ Deterministic bias
■ Small number of observations
■ Selection bias
■ Confirmation bias
■ Inaccuracy

15. T-Statistic
■ For sample sizes smaller than 30.
■ The t-score approaches the z-score as the sample size increases.

16. HYPOTHESIS
TESTING

18. Terminology
■ Null and Alternate Hypothesis
■ Significance Level (Alpha)
■ StatisticalTests
■ P-Values

19. Steps
■ Formulate the Null and the Alternate Hypothesis.
■ Decide on the StatisticalTest to use.
■ Calculate the p-value
■ Compare p-value to the significance level, alpha. Reject/Accept Null Hypothesis based
on the comparison.
■ Summarize the result