reject the null hypothesis when the alternative hypothesis is true, we have made a correct decision. type II error. type α err
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If we reject the null hypothesis when the alternative hypothesis is true, we have made a
- correct decision.
- type II error.
- type α error.
- type β error.
- type I error.
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- if we do not reject the null hypothesis when the null hypothesis is in error, then we have made a a.Type β error b.Correct decision c.Type I error d.Type II errorIf you make an error of rejecting the null hypothesis when it is true, this type of error is Type I error. True FalseIf we reject the null hypothesis when the null hypothesis is true, we have made a correct decision. type II error. type I error. type αα error. type β error.
- A Type I error occurs if you reject the null hypothesis when in fact it is true. a.)True b.)Falseif the null hypothesis is not rejected when its false a type II error has been committed. True or FalseA researcher risks making a Type I error any time the null hypothesis is rejected? state the reason?
- If the null hypothesis states H0: E(Y) = , explain the difference between a two-sided vs a one-sided alternative hypothesis. Give an real-life example in each testIf we accept the research hypothesis when in reality the null hypothesis is TRUE, we have: A. Made the correct decision B. a Type 1 error C. Made a Type 2 error D. Made a statistically insignificant errorA Type I error is: Select one: incorrectly specifying the null hypothesis. accepting the null hypothesis when it is false. rejecting the null hypothesis when it is true. incorrectly specifying the alternative hypothesis.
- If we reject the null hypothesis, does this mean that we have proved it to be false beyond all doubt? Choose one of the options: A. No, the test was conducted with a risk of a type II error. B. Yes, the test was conducted with a risk of a type I error. C. No, the test was conducted with a risk of a type I error. D. Yes, if we reject the null that suggests that it is false beyond all doubt.rejecting a true alternative hypothesis, H1 leads to committing a type II error True or FalseA researcher has rejected the null hypothesis when in reality, the null hypothesis is false. What type of error has she committed, if any? Type II error Digit reversal error Type I error No error; Correct decision