Practice Statistical Inference and Optimization - 1.2.7 | 1. Introduction to Advanced Data Science | Data Science Advance
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Statistical Inference and Optimization

1.2.7 - Statistical Inference and Optimization

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the null hypothesis?

💡 Hint: Remember H0 represents this hypothesis.

Question 2 Easy

What does a low p-value indicate?

💡 Hint: Consider the alternative conclusion.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the null hypothesis typically represent?

An effect exists
No effect exists
Alternative hypothesis

💡 Hint: Think about what you want to prove or disprove.

Question 2

True or False: A low p-value indicates that you should fail to reject the null hypothesis.

True
False

💡 Hint: Consider the relationship between p-value and hypothesis rejection.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design an A/B test for two versions of an app login page. What metrics would you track, and how would you assess success?

💡 Hint: Consider both quantitative and qualitative data.

Challenge 2 Hard

Explain how to tune hyperparameters for gradient descent. What methodologies might you apply?

💡 Hint: Think about methods that involve systematic searching within a parameter space.

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