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1. Which of the following accurately describes a hypothesis test? an inferential technique that uses the data from a sample to draw inferences about a population b. a. an inferential technique that uses information about a population to make predictions about a sample a descriptive technique that allows researchers to describe a population d. C. a descriptive technique that allows researchers to describe a sample 2. Increasing the alpha level (for example from a = .01 to a = .05). increases the probability of a Type I error b. increases the size of the critical region increases the probability that the sample will fall into the critical region d. All of the other options are results of increasing alpha. a. C. 3. By definition, a Type I error is a. rejecting a false H1 b. rejecting a false Ho c. rejecting a true Ho d. rejecting a true H1 4. What is the consequence of a Type I error? concluding that a treatment has an effect when it really does b. concluding that a treatment has no effect when it really has no effect c. concluding that a treatment has no effect when it really does d. concluding that a treatment has an effect when it really has no effect a. 5. What is the consequence of a Type II error? concluding that a treatment has an effect when it really does b. concluding that a treatment has no effect when it really has no effect c. concluding that a treatment has no effect when it really does d. concluding that a treatment has an effect when it really has no effect a.

1. Which of the following accurately describes a hypothesis test? an inferential technique that uses the data from a sample to draw inferences about a population b. a. an inferential technique that uses information about a population to make predictions about a sample a descriptive technique that allows researchers to describe a population d. C. a descriptive technique that allows researchers to describe a sample 2. Increasing the alpha level (for example from a = .01 to a = .05). increases the probability of a Type I error b. increases the size of the critical region increases the probability that the sample will fall into the critical region d. All of the other options are results of increasing alpha. a. C. 3. By definition, a Type I error is a. rejecting a false H1 b. rejecting a false Ho c. rejecting a true Ho d. rejecting a true H1 4. What is the consequence of a Type I error? concluding that a treatment has an effect when it really does b. concluding that a treatment has no effect when it really has no effect c. concluding that a treatment has no effect when it really does d. concluding that a treatment has an effect when it really has no effect a. 5. What is the consequence of a Type II error? concluding that a treatment has an effect when it really does b. concluding that a treatment has no effect when it really has no effect c. concluding that a treatment has no effect when it really does d. concluding that a treatment has an effect when it really has no effect a.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1. Which of the following accurately describes a hypothesis test? an inferential technique that uses the data from a sample to draw inferences about a population b. a. an inferential technique that uses information about a population to make predictions about a sample a descriptive technique that allows researchers to describe a population d. C. a descriptive technique that allows researchers to describe a sample 2. Increasing the alpha level (for example from a = .01 to a = .05). increases the probability of a Type I error b. increases the size of the critical region increases the probability that the sample will fall into the critical region d. All of the other options are results of increasing alpha. a. C. 3. By definition, a Type I error is a. rejecting a false H1 b. rejecting a false Ho c. rejecting a true Ho d. rejecting a true H1 4. What is the consequence of a Type I error? concluding that a treatment has an effect when it really does b. concluding that a treatment has no effect when it really has no effect c. concluding that a treatment has no effect when it really does d. concluding that a treatment has an effect when it really has no effect a. 5. What is the consequence of a Type II error? concluding that a treatment has an effect when it really does b. concluding that a treatment has no effect when it really has no effect c. concluding that a treatment has no effect when it really does d. concluding that a treatment has an effect when it really has no effect a.
Transcribed Image Text:1. Which of the following accurately describes a hypothesis test? an inferential technique that uses the data from a sample to draw inferences about a population b. a. an inferential technique that uses information about a population to make predictions about a sample a descriptive technique that allows researchers to describe a population d. C. a descriptive technique that allows researchers to describe a sample 2. Increasing the alpha level (for example from a = .01 to a = .05). increases the probability of a Type I error b. increases the size of the critical region increases the probability that the sample will fall into the critical region d. All of the other options are results of increasing alpha. a. C. 3. By definition, a Type I error is a. rejecting a false H1 b. rejecting a false Ho c. rejecting a true Ho d. rejecting a true H1 4. What is the consequence of a Type I error? concluding that a treatment has an effect when it really does b. concluding that a treatment has no effect when it really has no effect c. concluding that a treatment has no effect when it really does d. concluding that a treatment has an effect when it really has no effect a. 5. What is the consequence of a Type II error? concluding that a treatment has an effect when it really does b. concluding that a treatment has no effect when it really has no effect c. concluding that a treatment has no effect when it really does d. concluding that a treatment has an effect when it really has no effect a.
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