Which of the following statement(s) is/are true? If the (x) is more than the p-value, there is evidence to reject the null hypothesis. If the (a) is less than the p-value, there is evidence to reject the null hypothesis. The significance level, (a), can be described of the amount of risk that a researcher is willing to take when incorrectly rejecting the null hypothesis. Power describes the ability to detect an effect if an effect exists. The test statistic is the z-score the significance level, (a), is separated from the rest of the normal curve. O The test statistic is the z-score which marks where the sample's z-score is located on the normal curve.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Which of the following statement(s) is/are true?

- [ ] If the (α) is more than the p-value, there is evidence to reject the null hypothesis.
- [ ] If the (α) is less than the p-value, there is evidence to reject the null hypothesis.
- [ ] The significance level, (α), can be described as the amount of risk that a researcher is willing to take when incorrectly rejecting the null hypothesis.
- [ ] Power describes the ability to detect an effect if an effect exists.
- [ ] The test statistic is the z-score the significance level, (α), is separated from the rest of the normal curve.
- [ ] The test statistic is the z-score which marks where the sample’s z-score is located on the normal curve.
Transcribed Image Text:**Question:** Which of the following statement(s) is/are true? - [ ] If the (α) is more than the p-value, there is evidence to reject the null hypothesis. - [ ] If the (α) is less than the p-value, there is evidence to reject the null hypothesis. - [ ] The significance level, (α), can be described as the amount of risk that a researcher is willing to take when incorrectly rejecting the null hypothesis. - [ ] Power describes the ability to detect an effect if an effect exists. - [ ] The test statistic is the z-score the significance level, (α), is separated from the rest of the normal curve. - [ ] The test statistic is the z-score which marks where the sample’s z-score is located on the normal curve.
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