Understanding Type 1 and Type 2 Errors

Understanding Type 1 and Type 2 Errors

University

10 Qs

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Understanding Type 1 and Type 2 Errors

Understanding Type 1 and Type 2 Errors

Assessment

Interactive Video

English

University

Practice Problem

Easy

CCSS
HSS.MD.A.2, HSS.IC.B.3

Standards-aligned

Created by

Molly Alvaro

Used 11+ times

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a Type 1 error signify in statistical hypothesis testing?

Rejecting a true null hypothesis

Failing to reject a false null hypothesis

Accepting a true null hypothesis

None of the above

Tags

CCSS.HSS.IC.B.3

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability of making a Type 1 error known as?

Delta (δ)

Alpha (α)

Gamma (γ)

Beta (β)

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the probability of making a Type 2 error represent?

The power of the test

The significance level of the test

Beta (β)

Alpha (α)

Tags

CCSS.HSS.MD.A.2

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the power of a test in statistical hypothesis testing?

The probability of accepting a true null hypothesis

The probability of making a Type 2 error

The probability of making a Type 1 error

The probability of rejecting a false null hypothesis

Tags

CCSS.HSS.MD.A.2

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the used car example, what represents a Type 2 error?

John's car is safe, and he correctly believes so

John's car is unsafe, but he has no opinion on its safety

John believes his car is safe when it is actually unsafe

John believes his car is unsafe when it is actually safe

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which error has a greater consequence in the used car example?

Both have equal consequences

Neither has any consequence

Type 2 Error

Type 1 Error

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the used car example, which statement represents a Type 1 error?

John thinks his car may not be safe when in fact it is safe

John thinks his car may be safe when in fact it is not safe

John has no opinion on the safety of his car

John's car is safe, and he correctly believes so

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