Question
A manufacturer claims that the percentage of defective items in his production line is at least 20%. A random sample of 400 items was tested
A manufacturer claims that the percentage of defective items in his production line is at least 20%. A random sample of 400 items was tested and indicated 22% of defective items.
To perform an appropriate hypothesis test to determine if the manufacturer's claim is supported by the data, which hypotheses should you test?
Select one:
a. H0: p 0.2 vs H1: p < 0.2
b. H0: 0.2 vs H1: < 0.2
c. H0: p 0.22 vs H1: p < 0.22
d. H0: 0.22 vs H1: < 0.22
When performing a hypothesis test there exists the possibility of making errors in our conclusion. There are 2 types of errors and they referred to as Type I error and Type II error.
Which of the following statement is correct for Type I error:
Select one:
a. Type I error occurs when we reject H1 but it is true b. Type I error occurs when we do not reject H0 when it is true c. Type I error occurs when we do not reject H1 when it is true d.We do not need to worry about Type I error e. Type I error occurs when we reject H0 but it is true
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