Probability, P-Value and Confidence Intervals (Full data science mock interview)

Опубликовано: 27 Декабрь 2024
на канале: Exponent

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In this video, a senior data scientist tackles real-world interview questions, showcasing a strong understanding of probability and statistics. We learn how to apply Bayes' Theorem to solve conditional probability problems, gain a deeper understanding of p-values and their role in hypothesis testing, and explore the relationship between confidence intervals and uncertainty.

Chapters (Powered by ChapterMe) -
00:00 - Conditional probabilities in factory production
01:50 - Bayes theorem formula and conditional probabilities
06:07 - Probability calculation for defective bulb
10:51 - Pvalue in hypothesis testing
15:31 - Pvalue for null hypothesis rejection
17:52 - Pvalues inverse tdistribution explanation
18:17 - Building confidence intervals in statistics
19:27 - Confidence interval percentage of times expected to fall
20:25 - Confidentially reproduces estimates between upper and lower bounds
25:08 - Results Clearer, Simplifying, More Clear
26:06 - Deep knowledge of p values, hypothesis testing, and concrete examples
27:34 - Wrap up

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