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Day 4 - Hypothesis Testing Quiz

Here’s your chance to prove what you learned

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Question 1 of 4

 

What is the primary purpose of hypothesis testing in data science?

A

To prove a hypothesis is true

B

To disprove a hypothesis

C

To determine if observed results support a specific claim about a population

D

To create new theories about data

Question 2 of 4

 

Which of the following correctly describes the relationship between the level of significance (α) and the confidence level?

A

They are unrelated concepts

B

They always add up to 100%

C

Confidence level = α

D

Confidence level = 1 - α

Question 3 of 4

 

In the context of hypothesis testing, what does a Type I error represent?

A

Failing to reject a false null hypothesis

B

Rejecting a true null hypothesis

C

Accepting a false alternative hypothesis

D

Rejecting a true alternative hypothesis

Question 4 of 4

 

If a researcher sets their significance level at 0.01, what does this mean in terms of hypothesis testing?

A

They are 99% confident in their results

B

They are willing to accept a 1% chance of incorrectly rejecting the null hypothesis

C

They will only accept results that are 100% certain

D

They are 1% confident in their results

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