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
If the cost of making Type I error is large, do we want the significance level...
If the level of significance is .01, the chance of making a Type I error is: 90% 10% TO 01% 99%
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,...
You are __________ to commit a Type I error using the 0.05 level of significance than using the 0.01 level of significance. a. twice as likely b. less likely c. equally likely d. more likely
This discussion question focus on selecting significance levels in order to avoid Type I or Type II errors. While we wish to avoid both types of errors, in practice we have to accept some trade-off between them. We could reduce the chance of making a Type I error by making it very hard to rejectH0, but then we would probably make Type II errors more often. On the other hand, if we routinely reject H0, we would rarely be guilty...
a. Explain a Type II error and power in context of choosing a smaller level of significance. b. Explain a Type II error and power in context of a greater difference between the null hypothesis claim and the true value of the population parameter.
QUESTION 12 The level of significance is O a the probability of Type Il error O b. 1-p-value Oc. the probability of Type I error Od.1-b
For a two-sided test where the level of significance (probability of a type 1 error) = 0.05, we reject the null hypothesis when . . . .
Errors (a) In hypothesis testing, we generally want the lowest possible false positive rate, which is controlled by our a parameter. The false positive rate (type I error rate) can be stongly reduced by setting a to a very small decimal. Explain why this is not advisable. (b) Imagine I had a set of 1000 samples (not observations) of data drawn from a specific non-normal distribution p(x), and I perform a Shapiro-Wilk test on each sample, rejecting my null 640...
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
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...