Hypothesis Testing Errors and Concepts

Hypothesis Testing Errors and Concepts

Assessment

Interactive Video

Mathematics

11th - 12th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial explains the two types of errors in hypothesis testing: type I error, which occurs when a true null hypothesis is rejected, and type II error, which happens when a false null hypothesis is accepted. The tutorial discusses the significance of these errors, the role of alpha and beta, and how sample size affects the probability of errors. It also introduces the concept of the power of a test, which is the probability of rejecting a false null hypothesis. An example involving a love scenario is used to illustrate these concepts, emphasizing the importance of understanding and minimizing errors in statistical testing.

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15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two types of errors discussed in hypothesis testing?

Type I and Type II errors

Alpha and Beta errors

Positive and Negative errors

Type A and Type B errors

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a Type I error in hypothesis testing?

Accepting a false null hypothesis

Rejecting a true null hypothesis

Accepting a true null hypothesis

Rejecting a false null hypothesis

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

Beta

Delta

Gamma

Alpha

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Who is responsible for setting the level of significance in hypothesis testing?

The statistician

The supervisor

The researcher

The participant

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a Type II error in hypothesis testing?

Accepting a true null hypothesis

Rejecting a false null hypothesis

Rejecting a true null hypothesis

Accepting a false null hypothesis

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What factors mainly influence the probability of a Type II error?

Population mean and sample size

Level of significance and sample size

Level of significance and population mean

Sample size and population variance

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability of rejecting a false null hypothesis called?

Type I error

Significance level

Type II error

Power of the test

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