You are __________ to commit a Type I error using the 0.05 level of significance than using the 0.01 level of significance.
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You are __________ to commit a Type I error using the 0.05 level of significance than...
A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size a. n has a probability of 0.05 of being selected. b. N and n have the same probability of being selected. c. n has a probability of 0.5 of being selected. d. n has the same probability of being selected. You are __________ to commit a Type I error using the 0.05 level of significance...
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,...
If a hypothesis is tested at the a = 0.05 level of significance, what is the probability of making a type l error? Choose the correct answer below. A. The probability of making a type I error is 0.05 B. The probability of making a type I error is 0.95 O C. The probability of making a typeI error is 0.5 D. There is insufficient information to determine the probability of a type l error
Suppose a hypothesis test is conducted using a significance or alpha level of 0.05, and the null hypothesis is rejected. This means that? A we would also reject the null hypothesis if the significance level had been 0.10 instead of 0.05. B the p-value was greater than 0.05. C we would also reject the null hypothesis if the significance level had been 0.01 instead of 0.05. D All answer options are correct.
If the cost of making Type I error is large, do we want the significance level to be closer to 0.10 or 0.01? Very briefly explain
When a false null hypothesis is not rejected, a.we commit a type i error b. we choose the wrong alpha c. we commit a type ii error d. we commit a type ii error e.we rely on the p value to see the probability of the null hypothesis being correct
Setting a small significance level (i.e., alpha = 0.05) protects against committing a Type II error. True False
5. We conduct a test of hypothesis using a significance level of 0.05. This implies (a) the test has a 5% chance of H, being true. (b) the test has a 95% chance of a type II error. (c) the test has a 5% chance of being true. (d) none of the above.
Suppose that three hypothesis tests are carried out, each using significance level 0.05. What is the worst-case probability of a type I error in at least one of these tests? 0.05 0.15 0.3 1
(3 points) When one changes the significance level of a hypothesis test from 0.10 to 0.05, which of the following will happen? Check all that apply. A. The chance of committing a Type I error changes from 0.10 to 0.05. B. The test becomes more stringent to reject the null hypothesis (i.e., it becomes harder to reject the null hypothesis). C. The chance that the null hypothesis is true changes from 0.10 to 0.05. D. It becomes easier to prove...