If, in a (two-tail) hypothesis test, the p-value is 0.1144, what is your statistical decision if you test the null hypothesis at the 0.07 level of significance? Choose the correct answer below? A. Since the p-value is greater than o, do not reject Ho OB. Since the p-value is greater than , reject Ho OC. Since the p-value is less than a, reject Ho OD. Since the p-value is less than a, do not reject Ho B

If, in a (two-tail) hypothesis test, the p-value is 0.1144, what is your statistical decision if you test the null hypothesis at the 0.07 level of significance? Choose the correct answer below? A. Since the p-value is greater than o, do not reject Ho OB. Since the p-value is greater than , reject Ho OC. Since the p-value is less than a, reject Ho OD. Since the p-value is less than a, do not reject Ho B

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Please answer two in red. AND PLEASE explain steps. no excel calculator or written. thanks
If, in a (two-tail) hypothesis test, the p-value is 0.0921, what is your statistical decision if you test the null hypothesis at the 0.06 level of significance?
When testing any experimental hypothesis, why is it important that the test you use to measure the outcome be both reliable and valid
What is the difference between the null hypothesis and the alternative hypothesis when doing a hypothesis test?
When would you use a chi-square test? In hypothesis testing, when would you use a one-sample t-test rather than a one-sample z-test?
The U.S. Department of Transportation, National Highway Traffic Safety Administration, reported that 77% of all fatally injured automobile drivers were intoxicated. A random sample of 53 records of automobile driver fatalities in a certain county showed that 33 involved an intoxicated driver. Do these data indicate that the population proportion of driver fatalities related to alcohol is less than 77% in Kit Carson County? Use a = 0.01. (a) What is the level of significance? State the null and alternate hypotheses. O Ho: p = 0.77; Hị: p + 0.77 O Ho: p 0.77 O Ho: p = 0.77; H1: p 5 and ng > 5. O The standard normal, since np > 5 and ng > 5. O The Student's t, since np < 5 and ng < 5. O The standard normal, since np < 5 and ng < 5. What is the value of the sample test statistic? (Round your answer to two decimal places.) (c) Find the P-value of the test statistic. (Round your answer to four decimal places.)
It is more difficult to reject a null hypothesis if we use a 10% level of significance compared with a 5% level of significance. True or False
Suppose you are asked to conduct a two-tailed hypothesis test on the population mean. What type of hypothesis test would you use? Why? What assumptions do you need to make about the process when you are conducting a hypothesis test on the population mean in order for your results to be valid?
For all hypothesis testing, you must use the five-step method. You are told that the population mean for the Law School Admissions Test (LSAT) for Canadian students is 429.You want to compare the population of UWO students with Canadian students as a whole with regard to LSAT scores. To find out, you take a random sample of 100 UWO students who have taken the test and find that the sample mean is 462. The population standard deviation is 81. Do UWO students score higher on the LSAT than students from Canada as a whole? You think they do. Use α = .05, and round to three places of the decimal. Interpret your results.
What does the p-value represent in a test of hypothesis? The p-value represents the significance level of the hypothesis test. The p-value is the probability that the sample data occurred given that the null hypothesis is true. The p-value is the probability that the sample data occurred given that the alternative hypothesis is true. The p-value is the probability that the null hypothesis is true.
What does hypothesis test indicates?
Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up rejecting the null hypothesis in error. True False