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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 hands-on 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: P-Values, Probability Mass Functions (PMFs), and CDFs
10:37 - Question 2: Probability Simulations for Real-World Applications
17:04 - Using List Comprehension and Simulation to Solve Probability Questions
18:05 - Insights on P-Values and Statistical Significance in Decision Making
20:37 - Evaluating Coin Fairness for Business Decisions
21:56 - Conclusion

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Did you enjoy this interview question and answer? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others.

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