Which of the following describe alpha? (choose one or more)
The level of significance
The probability of the test statistic occurring if the null is true
The probability that we will reject the null hypothesis
A value we need to know in order to determine the critical value
Which of the following describe alpha? (choose one or more) The level of significance The probability...
Which of the following is an appropriate description of the significance level of a test? a.The proportion of the time we find a test statistic at least as extreme as the one we found in our study. b.The proportion of the time we expect that we'll fail to reject null hypotheses when we really should. c.The proportion of the time we expect the alternative hypothesis to be true. d.The proportion of the time we expect that we'll reject null hypotheses...
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.
. When we carry out a statistical test with significance level α = 5%, the probability of rejecting the null hypothesis when it is true is 5%. Suppose that we independently select 5 random samples of size 100, and for each sample carry out the same statistical test with significance level 5%. We know that the null hypothesis is true. What is the probability that we reject the null hypothesis at most once out of the 5 tests? (a) 0.02...
A hypothesis test is performed at the α = 0.05 level of significance. The p-value is determined to be 0.03. Therefore, we know that we would _______________. either reject or fail to reject the null hypothesis, depending on the value of the test statistic. reject the null hypothesis know that a 99% confidence interval would contain the value specified in the null hypothesis. fail to reject the null hypothesis
Choose the correct definition of significance level from the
list below.
A significance level is
Option 1 and 5 are WRONG
Choose the correct definition of significance level from the list below A significance level is the probability of failing to reject the null hypothesis when the alternative hypothesis is true. the minimum acceptable chance of making a type I error. O the probability that an event occurred as a result of a causative factor rather than by chance. the...
Which of the following is true of the p-value? Select one: a. It is the probability of rejecting the null hypothesis when the alternative hypothesis is true. b. It is the extreme value of the test statistic obtained when the alternative hypothesis is true. c. It is the smallest significance level at which a null hypothesis can be rejected. d. It is the probability of rejecting the null hypothesis when the null hypothesis is true.
Assume a researcher published a paper rejecting a null hypothesis at the 1% level of significance (that is, α = 0.01), which of the following statements is true? The finding may not be significant since it was not tested at an alpha level of 0.05 You cannot make any assumptions about the alpha at the 5% level without first calculating the value from the published data It is 5 times as likely the null hypothesis would be accepted at the...
Which of the following will increase the power of a significance test? (A) Increase the Type II Error probability (B) Increase the significance level alpha (C) Select a value for the alternative hypothesis closer to the value of the null hypothesis (D) Decrease the sample size. (E) Reject the null hypothesis only if the P-value is smaller than the level of significance.
1. Regarding a two-tailed z-test with an alpha of 0.05, we would need a Zobt with an absolute value less than 1.96 in order to reject the null hypothesis. True or False? 2. What happens to the probability of committing a Type I error if the level of significance is changed from α = 0.05 to α = 0.01? A. It increases B. It decreases C. It stays the same D. Cannot determine 3. Given a Zobt of -1.99 ,...
The higher the alpha level, a. the lower the probability of rejecting the null hypothesis. b. the greater the probability of rejecting the null hypothesis. c. the larger the sample size has to be to reject the null hypothesis. d. the more desirable the two-tailed test. When solving the formula for finding Z(obtained) with sample proportions in the two-sample case, we must first estimate a. the population proportion. b. the critical region. c. the ratio of the sample proportions. d....