Exam 9: A: large-Sample Tests of Hypotheses

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The necessary conditions having been met, a two-tailed test is being conducted to test the difference between two population proportions. The two sample proportions are and , respectively, and the standard error of the sampling distribution of is 0.04. Then, the calculated value of the test statistic will be 1.50.

(True/False)

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Question 141

Reducing the probability of a Type I error also reduces the probability of a Type II error.

(True/False)

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Question 142

The probability of making the Type I error of incorrectly accepting a false null hypothesis equals and is called the -risk.

(True/False)

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Question 143

In a one-tailed test, the p-value is found to be equal to 0.036. If the test had been two-tailed, the p-value would have been 0.072.

(True/False)

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Question 144

If we reject the null hypothesis at the 0.01 level of significance, then we must also reject it at the 0.05 level.

(True/False)

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Question 145

In testing vs. the test statistic value z is found to be 1.69. What is the p-value of the test?

(Multiple Choice)

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Question 146

In testing vs. a random sample of size 100 produced a sample proportion of Given these results, the test statistic value is z = -0.655.

(True/False)

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Question 147

There is a close connection between Type I errors, Type II errors, and the power of a test. Which of the following statements is NOT true of those interrelationships?

(Multiple Choice)

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Question 148

A hypothesis that specifies a single value for the unknown parameter is called a point estimate.

(True/False)

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Question 149

With all other factors held constant, increasing the confidence level for a confidence interval estimate for the difference between two population means will result in a wider confidence interval estimate.

(True/False)

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Question 150

In testing vs. the test statistic value is found to be equal to 1.20. The p-value for this test would be approximately 0.1151.

(True/False)

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Question 151

If the p-value for a hypothesis test is less than a preassigned significance level , then the null hypothesis can be rejected, and you can report that the results are statistically significant at level .

(True/False)

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Question 152

If the null hypothesis is actually false, then a hypothesis test may result in a Type II error.

(True/False)

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Question 153

Consider testing the hypothesis . If the value of the test statistic is equal to 1.36, then what is the p-value?

(Multiple Choice)

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Question 154

Showing 141 - 154 of 154

Reducing the probability of a Type I error also reduces the probability of a Type II error.

The probability of making the Type I error of incorrectly accepting a false null hypothesis equals and is called the -risk.

In a one-tailed test, the p-value is found to be equal to 0.036. If the test had been two-tailed, the p-value would have been 0.072.

If we reject the null hypothesis at the 0.01 level of significance, then we must also reject it at the 0.05 level.

In testing vs. the test statistic value z is found to be 1.69. What is the p-value of the test?

In testing vs. a random sample of size 100 produced a sample proportion of Given these results, the test statistic value is z = -0.655.

There is a close connection between Type I errors, Type II errors, and the power of a test. Which of the following statements is NOT true of those interrelationships?

A hypothesis that specifies a single value for the unknown parameter is called a point estimate.

With all other factors held constant, increasing the confidence level for a confidence interval estimate for the difference between two population means will result in a wider confidence interval estimate.

In testing vs. the test statistic value is found to be equal to 1.20. The p-value for this test would be approximately 0.1151.

If the p-value for a hypothesis test is less than a preassigned significance level , then the null hypothesis can be rejected, and you can report that the results are statistically significant at level .

If the null hypothesis is actually false, then a hypothesis test may result in a Type II error.

Consider testing the hypothesis . If the value of the test statistic is equal to 1.36, then what is the p-value?

Describing Data With Graphs

Describing Data With Numerical Measures

Describing Bivariate Data

A: probability and Probability Distributions

B: probability and Probability Distributions

Several Useful Discrete Distributions

The Normal Probability Distribution

Sampling Distributions

Large-Sample Estimation

B: large-Sample Tests of Hypotheses

A: Inference From Small Samples

B: Inference From Small Samples

A: The Analysis of Variance

B: The Analysis of Variance

A: linear Regression and Correlation

B: linear Regression and Correlation

Multiple Regression Analysis

Analysis of Categorical Data

A:nonparametric Statistics

B:nonparametric Statistics

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