Consider the null hypothesis that a process produces no more than the maximum permissible rate of defective items. In this situation, what would be the type-II error?The process does not produce more than the maximum permissible rate of defective items when it actually does not.The process produces more than the maximum permissible rate of defective items when it actually does.The process produces more than the maximum permissible rate of defective items, even though it does not.The process does not produce more than the maximum permissible rate of defective items, even though it actually does.

If a hypothesis test leads to the rejection of the null hypothesis, a Type II error must have been committed a Type II error may have been committed a Type I error must have been committed a Type I error may have been committed

A Type II error is committed whenQuestion 2Select one:a.not enough information has been availableb.a true alternative hypothesis is mistakenly rejectedc.a true null hypothesis is mistakenly rejectedd.the sample size has been too small

A manufacturer of electronic components claims that their production process produces resistors that are 90% defect-free.However, a customer suspects that the actual proportion of defective resistors may be much higher than that.To investigate this, a customer takes a random sample of 20 resistors from the manufacturer's production line and inspects them for defects.If three or more resistors are defective, the customer will not purchase the electronic components.Define the Null and Alternative Hypothesis;Define the Critical Value and Critical Region;Find the probability of committing a type I error assuming that manufacturer claim is True.Find the probability of committing a type II error for the alternative proportion of defected items of p=0.2.Hint: Use the Statistical Table A1 for the Binomial Probability Sums.

A type II error isa) failing to reject the null when it is false b) rejecting the null when it is true

When is there a risk of a Type II error?​Group of answer choices​Whenever H0 is rejected​Whenever H1 is rejected​The risk of a Type II error is independent of the decision from a hypothesis test.​Whenever the decision is "fail to reject H0"