Iy Multile choice Please eircle the most correct answer Unclear choices wil bo c
ID: 2921891 • Letter: I
Question
Iy Multile choice Please eircle the most correct answer Unclear choices wil bo counmed w rong 1. A Type II error is made when The mull hypothesis is false and it is not rejected b. The rull hypothesis is false and it is rejected. c. The null hypothesis is true and it is rejected. d. The alternative hypothesis is accepted when it is true 2. Stating a result is statistically significant at the 5% led indicates the null hypothesis is wrong b. a test statistic that large would be unexpected when the null hypothesis is true O the null hypothesis is true d. none of tbe above. 4. The critical value of a test statistic is determined from: lations from the data. calculations based on many actual repetitions of the same experiment c. the sampling distribution of the statistic when H, is true d. the sampling distribution of the statistic when H, is true 5. What type of decision is reached when the calculated value of any test statistic is greater than the critical value when a false null hypothesis is being tested? a. A correct decision. b. Type I error. c. Type II error. d The type of decision can not be determined from the information given. None of the above are correct 6. Assumptions necessary for an exact test when comparing means using an independent two sample t-test are a. Data must be sampled from normally distributed popalations that have equal variances observed values must be independent of each other, and means are equal b. Data must be sampled from normally distributed popalations that have equal variances observed values must be independent of each other, and means are unequal Data must be sampled from normally distributed populations that have equal variances, and values mast be independent of each other d. Data must be sampled from normally distributed populations that have equal variances and mean difterences.Explanation / Answer
1 Answer is option (a.)
Type II error is the failure to detect an effect that is present. A type II error is the failure to reject a false null hypothesis.
Examples of type II errors would be a blood test failing to detect the disease it was designed to detect, in a patient who really has the disease.
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