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In this video, we tackle a sample coding interview question and explore two approaches to solve it: a theoretical one using SciPy and a handson simulation with NumPy.

Chapters:
00:00 Question 1: Handling Exponents in Jupyter Notebooks
03:19 Understanding Binomial Distributions with ScipyStats
08:43 Analyzing Cumulative Distribution Functions (CDF) for Probability
10:20 Core Interview Concepts: PValues, Probability Mass Functions (PMFs), and CDFs
10:37 Question 2: Probability Simulations for RealWorld Applications
17:04 Using List Comprehension and Simulation to Solve Probability Questions
18:05 Insights on PValues and Statistical Significance in Decision Making
20:37 Evaluating Coin Fairness for Business Decisions
21:56 Conclusion

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