Question 5 2 pts Which of the following statements is true? (a) we reject a null...
Which of the following is TRUE? a. The p-value should always be larger than the selected level of significance. b. If the p-value is smaller than the level of significance, then do not reject the alternate hypothesis. c. If we reject the null hypothesis, it is possible that p-value is larger than the selected level of significance. d. If the p-value is larger than the level of significance, then do not reject the null hypothesis.
True or false. If the p-value is 6%, then we reject the null hypothesis and accept the alternative hypothesis at a significance level of 10% but not at a significance level of 5%. True or false?
Which of the following statements is true? I. If the p-value is 0.01, we reject H0 for any alpha level less than 0.01. II. If we use an alpha level of 0.05, then a p-value of 0.005 is not statistically significant. III. If we use an alpha level of 0.05, then we fail to reject the null hypothesis if the p-value is 0.1.
A consumer advocate conducted a hypothesis test at the 5% significance level to determine if the mean level of impurities in a bottled water product is higher than themanufacturer’s advertised value of 20 parts per million. The advocate collected 25samples, measured the impurities, calculated a test statistic and obtained a p-value of 0.0423. Which of the following correctly states the advocate’s conclusion and reason for the conclusion? A. Reject the null hypothesis because the p-value is smaller than the significance...
Which of the following statements is true? I. If the p-value is 0.01, we reject H0 for any alpha level less than 0.01. II. If we use an alpha level of 0.05, then a p-value of 0.005 is not statistically significant. III. If we use an alpha level of 0.05, then we fail to reject the null hypothesis if the p-value is 0.1. Group of answer choices I only II only III only I and III II and III
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 explain it with proper reasoning. 3. The following statements are very important. Give them some careful thought and discuss them (a) When we fail to reject the null hypothesis, we do not claim that it is abso- lutely true. We simply claim that at the given level of significance, the data were not sufficient to reject the null hypothesis (b) When we accept the alternate hypothesis, we do not claim that the null hypothesis is absolutely false. We do...
One tailed t-test O One tailed z-test Question 14 4 pts Which of the following statements most adequately summarizes the conclusion statement resulting from a p-value of 0.03? O We fail to reject the null hypothesis at the alpha level 0.1 We reject the null hypothesis at the alpha level of 0.05 We reject the null hypothesis at the alpha level of 0.01 O We fail to reject the null hypothesis at the alpha level 0.05 Question 15 4 pts
Calculate the p-value for the following conditions and determine whether or not to reject the null hypothesis. a) one-tail (upper) test, zp-2.51, and α-0.10 b) one-tail (lower) test, zp--1 .34, and α: 0.05 c) two-tail test, Zp-_ 1.89, and α: 0.05 d) two-tail test, z1.58, and a 0.02 Click here to view the first page of the standard normal table, Click here to view the second page of the standard normal table. a) p-value (Round to four decimal places as...
1. You want to test whether you can reject the null hypothesis that a population mean is greater than or equal to 10. To do this, you collect a random sample of size 500 from the population, and you calculate that the sample mean and sample standard deviation are 8.6 and s, respectively. Which of the following is true? a. If s is any value between 11 and 13, you can reject the null hypothesis at the 5% significance level....