A synonym for power is
Type II error
confidence
sensitivity
significance
specificity
Answer: Sensitivity
In the binary content of classification power is also known as statistical sensitivity.
A synonym for power is Type II error confidence sensitivity significance specificity
a. Explain a Type II error and power in context of choosing a smaller level of significance. b. Explain a Type II error and power in context of a greater difference between the null hypothesis claim and the true value of the population parameter.
Alpha refers to __________. A Statistical power B The probability of making a Type II error C The probability of making a Type I error D Effect size
Which of the following will increase the power of a significance test? (A) Increase the Type II Error probability (B) Increase the significance level alpha (C) Select a value for the alternative hypothesis closer to the value of the null hypothesis (D) Decrease the sample size. (E) Reject the null hypothesis only if the P-value is smaller than the level of significance.
Setting a small significance level (i.e., alpha = 0.05) protects against committing a Type II error. True False
Although the concepts of sensitivity and specificity are usually applied to diagnostic laboratory or screening tests, they are equally valid for other tests that indicate the presence or absence of disease. These may be tests designed to elicit certain physical signs of disease by examination (e.g. hypertension, cervical cancer, neurological defects, and tendency to hemorrhage) or questions aimed at uncovering symptoms. Suppose that a short psychometric questionnaire that was devised to detect undiagnosed cases of personality disorder was found, after...
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0: μ = 67 versus H1: μ ≠ 67. The true value of μ is 68 and H0 is not rejected a)Type II error b)Type I error c)Correct decision
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0: μ = 40 versus H1: μ ≠ 40. The true value of μ is 40 and H0 is rejected. Group of answer choices Correct decision Type II error Type I error
If the type II error rate of a statistical hypothesis test is estimated to be .3, what would the statistical power of the test be? .5 .85 .70 .30
True or False? The probability of a Type I error (a) and Type (II) error (B) are complementary and total to 1. a. True b. False
Describing Type I and Type II errors—A power plant discharges water into a river. Regulators determine that as long as the mean temperature of the discharged water is no more than 150°F, there will be no negative effects on the river’s ecosystem. Data will be collected to test the following hypotheses: ?0: μ = 150°F ??: μ > 150°F A.) Describe a Type I error in the context of this problem B.) Describe a Type II error in the context...