The Environmental Protection Agency (EPA) has determined that safe drinking water should contain at most 1.3 mg/liter of copper, on average. A water supply company is testing water from a new source and collects water in small bottles at each of 30 randomly selected locations. The company performs a test at the a = 0.05 level of Ho: μ = 1.3 H₁:μ> 1.3 where u is the true mean copper content of the water from the new source. Which of the following is true regarding Type I and Type II errors in this setting? A Type I error would be finding convincing evidence that the mean copper content of the water from the new source is greater than 1.3 mg/liter when it really is. A Type II error would be not finding convincing evidence that the true mean copper content of the water from the new source is greater than 1.3 mg/liter when it really is. A Type II error would be not finding convincing evidence that the true mean copper content of the water from the new source is greater than 1.3 mg/liter when it really isn't. The probability of making a Type I error would be reduced if a larger a level was chosen. The probability of making a Type II error would be increased if a larger a level was chosen.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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The Environmental Protection Agency (EPA) has determined that safe drinking water should contain at most 1.3 mg/liter of
copper, on average. A water supply company is testing water from a new source and collects water in small bottles at each of 30
randomly selected locations. The company performs a test at the a = 0.05 level of
Ho μ = 1.3
:
H₂ μ> 1.3
where is the true mean copper content of the water from the new source.
Which of the following is true regarding Type I and Type II errors in this setting?
A Type I error would be finding convincing evidence that the mean copper content of the water from the new source is
greater than 1.3 mg/liter when it really is.
A Type II error would be not finding convincing evidence that the true mean copper content of the water from the new
source is greater than 1.3 mg/liter when it really is.
A Type II error would be not finding convincing evidence that the true mean copper content of the water from the new
source is greater than 1.3 mg/liter when it really isn't.
The probability of making a Type I error would be reduced if a larger a level was chosen.
The probability of making a Type II error would be increased if a larger a level was chosen.
Transcribed Image Text:The Environmental Protection Agency (EPA) has determined that safe drinking water should contain at most 1.3 mg/liter of copper, on average. A water supply company is testing water from a new source and collects water in small bottles at each of 30 randomly selected locations. The company performs a test at the a = 0.05 level of Ho μ = 1.3 : H₂ μ> 1.3 where is the true mean copper content of the water from the new source. Which of the following is true regarding Type I and Type II errors in this setting? A Type I error would be finding convincing evidence that the mean copper content of the water from the new source is greater than 1.3 mg/liter when it really is. A Type II error would be not finding convincing evidence that the true mean copper content of the water from the new source is greater than 1.3 mg/liter when it really is. A Type II error would be not finding convincing evidence that the true mean copper content of the water from the new source is greater than 1.3 mg/liter when it really isn't. The probability of making a Type I error would be reduced if a larger a level was chosen. The probability of making a Type II error would be increased if a larger a level was chosen.
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