Question

Which of the following will result in more risk for the consumer than for the producer?

Wrongfully set Null Hypothesis
Wrongfully set Alternate hypothesis
Committing Type-I error
Committing Type-II error

Answer 1

Answer:

Type 1 error, in statistical hypothesis testing, is the error caused by rejecting a null hypothesis when it is true. Type II error is the error that occurs when the null hypothesis is accepted when it is not true. Type I error is equivalent to false positive. Type II error is equivalent to a false negative.

Explanation:

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Answer 2

Answer:

Committing a type-II error results in more risks for the consumer than the producer. Therefore, the correct answer would be committing a type type-II error.

Explanation:

A Type-I error happens while, primarily based totally on our data, we reject the null hypothesis while in truth it's miles true. The possibility of a type-I blunders is the extent of importance of the check of hypothesis and is denoted with the aid of using α. Type-I error is regularly known as the manufacturer's risk that clients reject an excellent product/provider indicated with the aid of using the null hypothesis. That is, a manufacturer introduces an excellent product, in doing so, he/she take a threat that consumer will reject it.

A type-II error happens while we do now no longer reject the null hypothesis while it's miles in fact false. The possibility of a type-II error is denoted with the aid of using β. Type-II error is regularly known as the consumer's risk for now no longer rejecting probably a nugatory service or product indicated with the aid of using the null hypothesis.

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