What is a null hypothesis?

Understanding Hypothesis Testing

Quiz
•
Mathematics
•
11th Grade
•
Hard
PAVO, V.
FREE Resource
15 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
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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