In conducting a test on the hypotheses H0: µ = 250 and Ha: µ < 250, you find tha
ID: 3375848 • Letter: I
Question
In conducting a test on the hypotheses H0: µ = 250 and Ha: µ < 250, you find that the population mean is 250 when it is actually 247. This results in what type of error?
No error
Type II error
Type I error
Standard deviation of the mean
There is not enough information given
The assumption of the Law of Averages has been violated.
The variables X and Y are not related at all.
A line is an appropriate model to describe the relation between X and Y.
A line is not an appropriate model to describe the relation between X and Y.
There is not enough information about the variables X and Y to form a conclusion.
Explanation / Answer
In conducting a test on the hypotheses H0: µ = 250 and Ha: µ < 250, you find that the population mean is 250 when it is actually 247.
Answer ]
This is type ll error
( In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding), while a type II error is failing to reject a false null hypothesis (also known as a "false negative" finding).
( Note: the residual plot file is not uploading)
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