Practice Practical Applications In Data Science (4.6) - Statistical Inference and Hypothesis Testing

Practice: Practical Applications in Data Science

Lesson 4.6Statistical Inference and Hypothesis Testing

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10 questions

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Quiz
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6 sample questions

Question 1.
Define A/B Testing.
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Think of options to compare outcomes.
Question 2.
What does feature selection involve?
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Consider how we choose important data points.
3Question 3.
What statistical method is commonly used in A/B Testing?
- Chi-square test
- Z-test
- Two-sample t-test
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Think about how two groups are compared statistically.
4Question 4.
True or False: Feature selection improves model performance by using all available features.
- True
- False
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Consider if more features always mean better performance.
Question 5.
A company wishes to determine whether a new website design leads to increased sales. Describe how they might use A/B testing to assess this.
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Think about the comparison methodology.
Question 6.
Consider a dataset where you suspect certain demographic variables might not influence customer satisfaction. How would you approach feature selection?
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Consider the types of tests for analyzing means.

6 more questions in this section. Enroll free to practise them all.