Gen Combo Ll Applied Statistics In Business & Economics; Connect Access Card
6th Edition
ISBN: 9781260260632
Author: David Doane, Lori Seward Senior Instructor of Operations Management
Publisher: McGraw-Hill Education
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Textbook Question
Chapter 9, Problem 74CE
Pap smears are a test for abnormal cancerous and precancerous cells taken from the cervix. (a) State a pair of hypotheses and then explain the meaning of a false negative and a false positive. (b) Why is the null hypothesis “null”? (c) Who bears the cost of each type of error?
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Students have asked these similar questions
Type I error is when you end up rejecting the null hypothesis as a result of the statistical testing, when in fact the null hypothesis is actually ____."
True or False: A Type I Error is made by failing to reject the null hypothesis when the null hypothesis is actually incorrect.
Type-II error is?
A. Rejecting the null hypothesis when it is actually true
B. Not rejecting the null hypothesis when its actually false
C. Accepting the null hypothesis when its actually false
D. Rejecting the alternative hypothesis it is actually false
Chapter 9 Solutions
Gen Combo Ll Applied Statistics In Business & Economics; Connect Access Card
Ch. 9.2 - If you repealed a hypothesis test 1,000 times (in...Ch. 9.2 - Define Type I and Type II errors for each...Ch. 9.2 - A firm decides to test its employees for illegal...Ch. 9.2 - A hotel installs smoke detectors with adjustable...Ch. 9.2 - What is the consequence of a false negative in an...Ch. 9.2 - Prob. 6SECh. 9.3 - A manufacturer claims that its compact fluorescent...Ch. 9.3 - Prob. 8SECh. 9.3 - Prob. 9SECh. 9.3 - The average age of a part-time seasonal employee...
Ch. 9.3 - Prob. 11SECh. 9.3 - Prob. 12SECh. 9.4 - Find the zcalc test statistic for each hypothesis...Ch. 9.4 - Prob. 14SECh. 9.4 - Prob. 15SECh. 9.4 - Prob. 16SECh. 9.4 - Green Beam Ltd. claims that its compact...Ch. 9.4 - The mean potassium content of a popular sports...Ch. 9.4 - Calculate the test statistic and p-value for each...Ch. 9.4 - Determine the p-value for each test statistic. a....Ch. 9.4 - Procyon Mfg. produces tennis balls. Weights are...Ch. 9.4 - The mean arrival rate of flights at OHare Airport...Ch. 9.4 - Prob. 23SECh. 9.4 - The Scottsdale fire department aims to respond to...Ch. 9.4 - The lifespan of xenon metal halide arc-discharge...Ch. 9.4 - Discuss the issues of statistical significance and...Ch. 9.4 - The target activation force of the buttons on a...Ch. 9.5 - Find the tcalc test statistic for each hypothesis...Ch. 9.5 - Find the critical value of Students t for each...Ch. 9.5 - Find the critical value of Students t for each...Ch. 9.5 - Find the tcalc test statistic for each hypothesis...Ch. 9.5 - Estimate the p-value as a range using Appendix D...Ch. 9.5 - Prob. 33SECh. 9.5 - Prob. 34SECh. 9.5 - Prob. 35SECh. 9.5 - The manufacturer of an airport baggage scanning...Ch. 9.5 - Prob. 37SECh. 9.5 - The average weight of a package of rolled oats is...Ch. 9.5 - Prob. 39SECh. 9.5 - Prob. 40SECh. 9.5 - Prob. 41SECh. 9.5 - Prob. 42SECh. 9.5 - Prob. 43SECh. 9.6 - Interpret each p-value in your own words: a....Ch. 9.6 - Prob. 45SECh. 9.6 - Prob. 46SECh. 9.6 - May normality of the sample proportion p be...Ch. 9.6 - Prob. 48SECh. 9.6 - In a hospitals shipment of 3,500 insulin syringes,...Ch. 9.6 - Prob. 50SECh. 9.6 - Prob. 51SECh. 9.6 - The recent default rate on all student loans is...Ch. 9.6 - Prob. 53SECh. 9.6 - A Realtor claims that no more than half of the...Ch. 9.6 - BriteScreen, a manufacturer of 19-inch LCD...Ch. 9.6 - Perfect pitch is the ability to identify musical...Ch. 9.7 - A quality expert insects 400 items to test whether...Ch. 9.7 - Prob. 58SECh. 9.7 - For a certain wine, the mean pH (a measure of...Ch. 9.7 - Repeat the previous exercise, using = .05. For...Ch. 9.8 - A sample of size n = 15 has variance s2 = .35. At ...Ch. 9.8 - Prob. 62SECh. 9.8 - A sample of size n = 19 has variance s2 = .1.96....Ch. 9.8 - Prob. 64SECh. 9.8 - Prob. 65SECh. 9 - (a) List the steps in testing a hypothesis, (b)...Ch. 9 - (a) Explain the difference between the null...Ch. 9 - (a) Why do we say fail to reject H0 instead of...Ch. 9 - (a) Define Type I error and Type II error. (b)...Ch. 9 - (a) Explain the difference between a left-tailed...Ch. 9 - Prob. 6CRCh. 9 - Prob. 7CRCh. 9 - (a) Why do we prefer low values for and ? (b) For...Ch. 9 - Prob. 10CRCh. 9 - Prob. 11CRCh. 9 - (a) Explain what a p-value means. Give an example...Ch. 9 - Prob. 13CRCh. 9 - (a) What does a power curve show? (b) What factors...Ch. 9 - (a) In testing a hypothesis about a variance, what...Ch. 9 - Suppose you always reject the null hypothesis,...Ch. 9 - Suppose the judge decides to acquit all...Ch. 9 - High blood pressure, if untreated, can lead to...Ch. 9 - A nuclear power plant replaces its ID card...Ch. 9 - A test-preparation company advertises that its...Ch. 9 - Prob. 71CECh. 9 - Prob. 72CECh. 9 - Prob. 73CECh. 9 - Pap smears are a test for abnormal cancerous and...Ch. 9 - Prob. 75CECh. 9 - Prob. 76CECh. 9 - Malcheon Health Clinic claims that the average...Ch. 9 - The sodium content of a popular sports drink is...Ch. 9 - A can of peeled whole tomatoes is supposed to...Ch. 9 - At Ajax Spring Water, a half-liter bottle of soft...Ch. 9 - Prob. 81CECh. 9 - Prob. 82CECh. 9 - A U.S. dime weighs 2.268 grams when minted. A...Ch. 9 - A coin was flipped 60 times and came up heads 38...Ch. 9 - Prob. 85CECh. 9 - Prob. 86CECh. 9 - Prob. 87CECh. 9 - Prob. 88CECh. 9 - Prob. 89CECh. 9 - Prob. 90CECh. 9 - Prob. 91CECh. 9 - Prob. 92CECh. 9 - The average service time at a Noodles Company...Ch. 9 - Prob. 94CECh. 9 - Prob. 95CECh. 9 - Beer shelf life is a problem for brewers and...Ch. 9 - Prob. 97CECh. 9 - Prob. 99CECh. 9 - Prob. 100CECh. 9 - Prob. 101CECh. 9 - Prob. 102CECh. 9 - An experimental medication is administered to 16...Ch. 9 - The historical on-time percentage for Amtraks...Ch. 9 - After 7 months, none of 238 angioplasty patients...Ch. 9 - A certain brand of flat white interior latex paint...Ch. 9 - Prob. 107CECh. 9 - Prob. 108CECh. 9 - Prob. 109CE
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- What type of error(s) occur(s) when we reject the null hypothesis when the null hypothesis is true? OA. Type 1 Error OB. Type II Error OC. Both Type I and Type II Errors OD. Neither Type I nor Type II Errorarrow_forwardA man is on trial accused of murder in the first degree. The prosecutor presents evidence that he hopes will convince the jury to reject the hypothesis that the man is innocent. This situation can be modeled as a hypothesis test with the following hypotheses: Explain the meaning of a Type I error.arrow_forwardRetaining a false null hypothesis, which type of error it is?arrow_forward
- A researcher risks making a Type I error any time the null hypothesis is rejected? state the reason?arrow_forwardIf we fail to reject the null hypothesis when the alternative hypothesis is true, we have made a O type a error. O type B error. O type I error. O type II error. O correct decision.arrow_forwardA survey of randomly selected 8th, 10th and 12th graders from Humboldt County were asked if they used alcohol within the last 30 days. These are the results for those that responded "yes”“8th graders - 34%10th graders -48%12th graders-68%We want to know if the use of alcohol is the same for all students or if there is a significant difference. (a) State the null and alternative hypothesis. (hint, these should be in terms of proportions) (b) The data in the table are reported in percentages, what do we need to know in order to be able to conduct the statistical test? (c) Assume that the results are based on a simple random sample of 100 students from each grade for a total of 300 students surveyed. Perform the appropriate statistical test and report the test statistic and the p valuearrow_forward
- Explain what it means to accept the null hypothesis?arrow_forwardWhich of the following is the first step in hypothesis testing? (a) Developing a null and alternative hypothesis. (b) Drawing a sample from the population. (c) It does not matter where you begin when you test hypotheses. (d) Setting the cutoff value for rejecting the null hypothesis.arrow_forwardWhat is a type I and a type II error? Select one: A. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. B. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. C. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. D. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually falsearrow_forward
- A type I error A. arises when the false null hypothesis is not rejected. B. is the rejection of a false null hypothesis. C. arises when the true null hypothesis is not rejected. D. is the rejection of a true null hypothesis.arrow_forwardWhen a researcher conducts an experiment and fails to find significant results, what should she conclude? The research hypothesis is false The current data are inconclusive with regards to the research hypothesis The null hypothesis is true The null hypothesis is falsearrow_forwardIf the null hypothesis is false, you cannot make which kind of error? Type I Type IIarrow_forward
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