Understanding Hypothesis Testing

Understanding Hypothesis Testing

11th Grade

15 Qs

quiz-placeholder

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Understanding Hypothesis Testing

Understanding Hypothesis Testing

Assessment

Quiz

Mathematics

11th Grade

Hard

Created by

PAVO, V.

FREE Resource

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is a null hypothesis?

A null hypothesis is a statement that proves a significant effect exists.

A null hypothesis is a statement that assumes no effect or no difference in a statistical test.

A null hypothesis is a prediction of the outcome of an experiment.

A null hypothesis is a claim that all data points are identical.

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Define an alternative hypothesis.

An alternative hypothesis is a conclusion drawn from the data without testing any assumptions.

An alternative hypothesis is a statement that indicates the presence of an effect or difference.

An alternative hypothesis is a statement that confirms the null hypothesis.

An alternative hypothesis is a prediction that there will be no effect or difference.

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What does the level of significance represent?

The confidence level in a statistical test.

The probability of making a Type II error in hypothesis testing.

The threshold for determining statistical power.

The probability of making a Type I error in hypothesis testing.

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Explain the concept of a rejection region.

A rejection region is the range of values that always leads to a conclusion.

A rejection region is a statistical term that refers to the sample size used in testing.

A rejection region is the range of values for which the null hypothesis is rejected in a hypothesis test.

A rejection region is the area where the null hypothesis is accepted.

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What are Type I and Type II errors in hypothesis testing?

Type I error: accepting a false null hypothesis; Type II error: rejecting a true null hypothesis.

Type I error: failing to accept a true null hypothesis; Type II error: accepting a false null hypothesis.

Type I error: rejecting a true null hypothesis; Type II error: failing to reject a false null hypothesis.

Type I error: failing to reject a true null hypothesis; Type II error: rejecting a false null hypothesis.

6.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

How do you identify the parameter to be tested in a real-life problem?

Identify the key variable that influences the outcome of the problem.

Test all variables simultaneously without focus.

Select any variable regardless of its relevance.

Choose a random variable without analysis.

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Formulate a null hypothesis for a population mean.

H0: μ ≠ 170

H0: μ < 170

H0: μ = 170

H0: μ > 170

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