True or false: The significance level is the maximum probability of rejecting when is actually true.
08 Hypothesis Testing Online Quiz Questions
Use this free practice quiz with 20 questions to review 08 Hypothesis Testing, test your knowledge, and prepare for your next test or exam.
A study seeks evidence that a population mean is greater than a specified reference value. Which alternative hypothesis and test direction are appropriate?
- A
Ha:μ=μ0, no-tailed test
- B
Ha:μ<μ0, left-tailed test
- C
Ha:μ>μ0, right-tailed test
- D
Ha:μ=μ0, two-tailed test
Which two statements correctly describe a p-value? Select all that apply.
- A
It is computed under the assumption that H0 is true.
- B
It is the probability that H0 is true.
- C
It considers outcomes at least as extreme as the observed statistic in the specified direction.
- D
It directly measures the practical importance of the observed effect.
Using the p-value approach with p=0.032 and α=0.05, the decision is to .
True or false: If a hypothesis test fails to reject H0, the result proves that H0 is true.
- A
True
- B
False
Which test statistic is generally appropriate for testing a population mean when the population standard deviation is unknown and the sample standard deviation is used?
- A
z=σ/nxˉ−μ0
- B
t=s/nxˉ−μ0
- C
t=σnxˉ−μ0
- D
z=snxˉ−μ0
Which changes generally increase the statistical power of a hypothesis test? Select all that apply.
- A
Increasing the sample size.
- B
Increasing the true effect size.
- C
Lowering the significance level while holding other factors fixed.
- D
Reducing measurement variability.
Statistical power is given by Power= , where β is the Type II error probability.
A battery-life claim has μ0=10 hours, n=64, xˉ=10.4 hours, and known σ=1.6 hours. What is the z statistic?
A company claims that its batteries last an average of 10 hours. An independent sample has n=64, xˉ=10.4 hours, known σ=1.6 hours, and a right-tailed test with p≈0.023 at α=0.05. Write a complete, context-based conclusion, including what the result does not establish.
True or false: A statistically significant result necessarily represents a practically important effect.
- A
True
- B
False
For a two-tailed standard normal test with α=0.05, which critical-value rule is appropriate?
- A
Reject when z≥1.645.
- B
Reject when z≤−1.645.
- C
Reject when ∣z∣≥1.96.
- D
Reject when ∣z∣≤1.96.
Which statement best describes the null hypothesis in a hypothesis test?
- A
The alternative hypothesis, because it describes the effect being investigated.
- B
The null hypothesis, because it is the default claim and includes equality.
- C
The test statistic, because it summarizes the sample result.
- D
The p-value, because it measures evidence against a claim.
A researcher would regard both an increase and a decrease from the claimed population mean as important. Which alternative-hypothesis form is most appropriate?
- A
Use a right-tailed alternative because every test should focus on increases.
- B
Use a left-tailed alternative because decreases are generally easier to detect.
- C
Use a two-tailed alternative because departures in either direction matter.
- D
Use no alternative hypothesis until after examining the sample results.
What does a significance level of α=0.05 represent?
- A
The maximum probability of rejecting a true null hypothesis.
- B
The probability that the null hypothesis is true.
- C
The probability that the final conclusion is correct.
- D
The probability that the alternative hypothesis is false.
Which expression best represents the general structure of a test statistic?
- A
The null value divided by the sample size.
- B
The standard error divided by the observed estimate.
- C
The sample mean multiplied by the population parameter.
- D
The observed estimate minus the null value, divided by the standard error.
A test uses the alternative Ha:μ>μ0. Which area represents its p-value?
- A
The area to the left of the observed statistic.
- B
The area to the right of the observed statistic.
- C
The area in both tails, regardless of the alternative hypothesis.
- D
The probability that the null hypothesis is true.
What is the standard name for rejecting H0 when H0 is actually true?
What is the standard term for the probability of rejecting H0 when the alternative is true?
A quality-control test fails to reject the claim that a machine is correctly calibrated, even though the machine is actually miscalibrated. What is the name of this error?