Understanding Type 1 and Type 2 Errors

Understanding Type 1 and Type 2 Errors

Assessment

Interactive Video

Mathematics, Science, Education

10th - 12th Grade

Medium

Created by

Emma Peterson

Used 1+ times

FREE Resource

This video tutorial explains Type 1 and Type 2 errors in statistics, focusing on decision-making when dealing with null hypotheses. It covers the probabilities associated with these errors, known as alpha and beta, and introduces the concept of the power of a test. The tutorial uses tables and example problems, such as car safety and court cases, to illustrate the differences and consequences of these errors.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability of making a Type 1 error called?

Delta

Gamma

Beta

Alpha

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In hypothesis testing, what does a Type 2 error signify?

Accepting a true null hypothesis

Rejecting a false null hypothesis

Failing to reject a false null hypothesis

Rejecting a true null hypothesis

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the power of a test in hypothesis testing?

Probability of making a Type 1 error

Probability of making a Type 2 error

Probability of rejecting a false null hypothesis

Probability of accepting a true null hypothesis

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What decision is made if the null hypothesis is true and we reject it?

Type 2 error

Type 1 error

Correct decision

No error

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the car safety example, what is a Type 1 error?

Believing the car is unsafe when it is safe

Believing the car is safe when it is unsafe

Accepting the car is safe when it is safe

Rejecting the car is unsafe when it is unsafe

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which error has greater consequences in the car safety example?

Type 1 error

Type 2 error

Both have equal consequences

Neither has consequences

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a criminal court case, what is the null hypothesis?

The defendant is guilty

The defendant is presumed guilty

The defendant is not guilty

The defendant is presumed innocent

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