Question 1

Which statement about α is not correct?

Accepted Answer

A) It is the probability of committing a Type I error. 
B) It is the test's significance level. 
C) It is the probability of rejecting a true H0. 
D) It is equal to 1 - β. 
A) It is the probability of committing a Type I error. 
B) It is the test's significance level. 
C) It is the probability of rejecting a true H0. 
D) It is equal to 1 - β.

Question 2

The level of significance is not:

Accepted Answer

A) the probability of a "false rejection." 
B) a value between 0 and 1. 
C) the likelihood of rejecting the null hypothesis when it is true. 
D) the chance of accepting a true null hypothesis. 
A) the probability of a "false rejection." 
B) a value between 0 and 1. 
C) the likelihood of rejecting the null hypothesis when it is true. 
D) the chance of accepting a true null hypothesis.

Question 3

Which is a valid null hypothesis?

Accepted Answer

A) H0: μ ≠ 18 B) H0: μ = 18 C) H0: μ > 18 D) H0: μ < 18 A) H0: μ ≠ 18 B) H0: μ = 18 C) H0: μ > 18 D) H0: μ < 18

Question 4

Which of the following statements is correct?

Accepted Answer

A) Increasing α will make it more likely that we will reject H0, ceteris paribus. 
B) Doubling the sample size roughly doubles the test statistic, ceteris paribus. 
C) A higher standard deviation would increase the power of a test for a mean. 
D) The p-value shows the probability that the null hypothesis is false. 
A) Increasing α will make it more likely that we will reject H0, ceteris paribus. 
B) Doubling the sample size roughly doubles the test statistic, ceteris paribus. 
C) A higher standard deviation would increase the power of a test for a mean. 
D) The p-value shows the probability that the null hypothesis is false.

Question 5

In hypothesis testing, Type I error is:

Accepted Answer

A) always set at 5 percent. 
B) smaller than or equal to 5 percent. 
C) the probability of rejecting H0 when H0 is true. 
D) the probability of rejecting H0 when H1 is true. 
A) always set at 5 percent. 
B) smaller than or equal to 5 percent. 
C) the probability of rejecting H0 when H0 is true. 
D) the probability of rejecting H0 when H1 is true.

Question 6

The p-value is the probability of the sample result (or one more extreme), assuming H0 is true.

Accepted Answer

A) True 
 B)False

Question 7

Last year, 10 percent of all teenagers purchased a new iPhone. This year, a sample of 260 randomly chosen teenagers showed that 39 had purchased a new iPhone. To test whether the percentage has risen, the p-value is approximately:

Accepted Answer

A) .0501 
B) .0314 
C) .0492 
D) .0036 
A) .0501 
B) .0314 
C) .0492 
D) .0036

Which statement about α is not correct?

The level of significance is not:

Which is a valid null hypothesis?

Which of the following statements is correct?

In hypothesis testing, Type I error is:

The p-value is the probability of the sample result (or one more extreme), assuming H₀ is true.

Last year, 10 percent of all teenagers purchased a new iPhone. This year, a sample of 260 randomly chosen teenagers showed that 39 had purchased a new iPhone. To test whether the percentage has risen, the p-value is approximately:

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

Two-Sample Hypothesis Tests

Analysis of Variance

Simple Regression

Multiple Regression

Time Series Analysis

Chi-Square Tests

Nonparametric Tests

Quality Management

Filters

Exam 9: One-Sample Hypothesis Tests

Which statement about α is not correct?

The level of significance is not:

Which is a valid null hypothesis?

Which of the following statements is correct?

In hypothesis testing, Type I error is:

The p-value is the probability of the sample result (or one more extreme), assuming H0 is true.

Last year, 10 percent of all teenagers purchased a new iPhone. This year, a sample of 260 randomly chosen teenagers showed that 39 had purchased a new iPhone. To test whether the percentage has risen, the p-value is approximately:

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

Two-Sample Hypothesis Tests

Analysis of Variance

Simple Regression

Multiple Regression

Time Series Analysis

Chi-Square Tests

Nonparametric Tests

Quality Management

Filters

The p-value is the probability of the sample result (or one more extreme), assuming H₀ is true.