1.5ASAP ACTIVITY 1eatioqyd avitanr9tle bax lHun sdi stslumoAFormulate the alternative and null hypothesis.1. A doctor claims that only 10% of all patients exposed to a certain amount of radiation will feelill effècts. If in random sample, 5 of 18 patients exposed to such radiation feel some ill effects,test the doctor's claim at 0.01 level of significance.Solution:Step 1:Formulate the null and alternative hypothesesHo:На:9ulev tesi adi suqmoƆnoigs1 noitɔoja1 sdi weid

Given that Sample size n =18 Favorable cases x =5 Sample proportion p^=x/n Population proportion…

Answered: ACTIVITY 1 Formulate the alternative…

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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A researcher hypothesizes that Drug A is more effective than Drug B. In conducting an analysis to test this hypothesis, how should the null hypothesis be stated? a. H0: μDrug A = μDrug B b. H0: μDrug A > μDrug B c. H0: μDrug A ≠ μDrug B d. H0: μDrug A < μDrug B
If the null hypothesis is h = h0 (here h denotes the population parameter of interest.) and the alternate hypothesis is h > h0 then we perform a two-tail hypothesis testing. True or False
Answer A, B1, and B2: A. The National Institute of Mental Health published an article stating that in any one-year period, approximately 9.5 percent of American adults suffer from depression or a depressive illness. Suppose that in a survey of 100 people in a certain town, seven of them suffered from depression or a depressive illness. Conduct a hypothesis test to determine if the true proportion of people in that town suffering from depression or a depressive illness is lower than the percent in the general adult American population. B. Researchers interested in lead exposure due to car exhaust sampled the blood of 52 police officers subjected to constant inhalation of automobile exhaust fumes while working traffic enforcement in a primarily urban environment. The blood samples of these officers had an average lead concentration of 124.32 µg/l and a SD of 37.74 µg/l; a previous study of individuals from a nearby suburb, with no history of exposure, found an average blood level…
Method A: M1= 54, SS1= 400, n1= 15 Method B: M2=40, SS2= 440, n2=15 Using alpha=0.05 should the null hypothesis by rejected for the above data?
3. A researcher is testing a two-tailed null hypothesis at the p < .01 level with df = 45. What critical value would she or he use? Justify your answer
12) The personnel director for a small firm thinks that employees may be more likely to use sick days on Monday and Friday resulting in three-day weeks. a) What is the appropriate null and alternate hypothesis to determine if sick day absences depend on day of the week? b) The personnel director obtains sick day data for the past year and summarizes the number of absences by day of the week in the table below. Use JMP software to test the hypothesis of part a) c) Using alpha = 0.05, draw a conclusion for the hypothesis test and state the conclusion in the context of the problem. Day of Week Absences Monday 126 Tuesday 74 Wednesday 91 Thursday 82 Friday 115
If the hypothesis test results in a p-value of 0.08, would we be able to reject the null hypothesis if we were using alpha=0.05? If the hypothesis test results in a p-value of 0.95, would we be able to reject the null hypothesis if we were using alpha=0.05? If the hypothesis test results in a p-value of 0.02, would we be able to reject the null hypothesis if we were using alpha=0.01?
You may need to use the appropriate technology to answer this question. Suppose a certain state university's college of business obtained the following results on the salaries of a recent graduating class: Finance Majors Business Analytics Majors n1 = 120 n2 = 30 x1 = $48,237 x2 = $55,217 s1 = $19,000 s2 = $10,000 (a) Formulate hypotheses so that, if the null hypothesis is rejected, we can conclude that salaries for Finance majors are significantly lower than the salaries of Business Analytics majors. Use ? = 0.05. (Let ?1 = the population mean salary for Finance majors, and let ?2 = the population mean salary for Business Analytics majors. Enter != for ≠ as needed.) H0: Ha: (b) What is the value of the test statistic? (Use ?1 − ?2. Round your answer to three decimal places.) (c) What is the p-value? (Round your answer to four decimal places.) p-value = (d) What is your conclusion? Do not reject H0. We cannot conclude that salaries…
Windy, part III Exercises 12 and 14 give summaries anddisplays for two potential sites for a wind turbine. Testan appropriate hypothesis to see if there is evidence thateither of these sites has a higher average wind speed.
You may need to use the appropriate technology to answer this question. Suppose a certain state university's college of business obtained the following results on the salaries of a recent graduating class: Finance Majors Business Analytics Majors n1 = 140 n2 = 30 x1 = $48,337 x2 = $55,217 s1 = $19,000 s2 = $10,000 (a) Formulate hypotheses so that, if the null hypothesis is rejected, we can conclude that salaries for Finance majors are significantly lower than the salaries of Business Analytics majors. Use ? = 0.05. (Let ?1 = the population mean salary for Finance majors, and let ?2 = the population mean salary for Business Analytics majors. Enter != for ≠ as needed.) H0: Ha: (b) What is the value of the test statistic? (Use ?1 − ?2. Round your answer to three decimal places.) (c) What is the p-value? (Round your answer to four decimal places.) p-value = (d) What is your conclusion? Do not reject H0. We cannot conclude that…
A company selling home furnaces claims that installingtheir new high efficiency furnace will “cut your heating bill in half.” A consumer agency collects data for a ran-dom sample of homes and plots this year’s heating costs with the new furnaces against previous costs with the oldfurnaces. Which are the most appropriate hypotheses totest the company’s claim?A) H0: b = 0, HA: b ≠ 0B) H0: b = 0, HA: b 7 0C) H0: b = 0, HA: b 6 0D) H0: b = 0, HA: b 6 0.5E) H0: b = 0.5, HA: b ≠ 0.5
A manufacturer of hand-held calculators receives large shipments of printed circuits from a supplier. It is too costly and time-consuming to inspect all incoming circuits, so when each shipment arrives, a sample is selected for inspection. Information from the sample is then used to test H0: p = 0.01 versus Ha: p > 0.01, where p is the actual proportion of defective circuits in the shipment. If the null hypothesis is not rejected, the shipment is accepted, and the circuits are used in the production of calculators. If the null hypothesis is rejected, the entire shipment is returned to the supplier because of inferior quality. (A shipment is defined to be of inferior quality if it contains more than 1% defective circuits.) In this context, define Type I and Type II errors. (Select all that apply.) a. A Type I error is obtaining convincing evidence that more than 1% of a shipment is defective when in fact (at most) 1% of the shipment is defective. b. A Type I error is not…

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