The level of significance is the probability of Type I error
Correct answer: Option (C) the probability of Type I Error
QUESTION 12 The level of significance is O a the probability of Type Il error O...
QUESTION 15 If the p-value is less than the selected level of significance, then: O a. the null hypothesis should be rejected. O b. a one-tail test should be used. OC. the level of significance should be changed. od. a two tail test should be used.
For a two-sided test where the level of significance (probability of a type 1 error) = 0.05, we reject the null hypothesis when . . . .
1) The _____ refers to the probability of a _____. A. Level of significance, type I error B. level of significance, type II error 2) Of the five steps for testing a hypothesis, _____ involves selecting a test statistic, with step 4, a _____ is formulated and with step 5, a _____ is made. A.step 2, decision, decision B. step 1, decision, decision 3) The most common alphas are _____, _____ and _____. A. 0.01, 0.05, 0.10 B. 0.001, 0.002,...
A type ll error is: O A. the error you make when choosing type Il or type I O B. typically smaller than the type l error. O C. the error you make when not rejecting the null hypothesis when it is false. O D. cannot be calculated when the alternative hypothesis contains an "-".
Which statement best describes the significance level of a hypothesis test? The probability of obtaining a sample under the assumption that the null hypothesis is true that is more unusual than the observed sample b. The probability of making a Type 1 error The probability of making a Type Il error. d. The probability of correctly rejecting the null hypothesis.
answer please can simplify process You take a random sample of size 30 and conduct a hypothesis test at the 5% level of significance. If instead, you take a random sample of size 50 and conduct the same hypothesis test at the same 5% level of significance, what can you say about the probability of a type I and type Il error (all else being equal)? O A. P(Type I error) stays the same and P(Type Il error) increases B....
α is the probability of a Type I error, which occurs when we accept the alternative H1 when the null hypothesis Ho is true. True False A Type II error occurs when when a false null hypothesis is rejected. True False If a null hypothesis is rejected at the 5% significance level but not at the 1% significance level, then the p-value of the test is less than 1%. True False The power of a test is the probability of...
please show your work...................... 14. a. Probability of making a Type I error b. Probability of making a Type Il error c. Probability of rejecting Ho when you are supposed to d. Probability of not rejecting Ho when you shouldn't. Which of the following probabilities is equal to the significance level a? 15. If we reject the null hypothesis when it is false, then we have committed a. a Type ll error b. a Type l error both a Type...
Question 10 0.07 pts Type I error is the probability level at which you are willing to be wrong when rejecting Ho (the Null Hypothesis). True False Question 11 0.07 pts An import threshold for mercury in crayfish is 9 parts per billion (ppb). A study obtained a random sample of 120 crayfish from a large lake. Of these, 24 have levels of mercury that exceeded 9 ppb. Past research had shown that 25% of the crayfish had levels that...
A significance level for a hypothesis test is given as . Interpret this value. The probability of making a Type II error is .99. The smallest value of α that you can use and still reject H0 is .01. There is a 1% chance that the sample will be biased. The probability of making a Type I error is .01.