RESEARCH METHODS F/ BEHAV.(LL)-W/MINTAP
6th Edition
ISBN: 9781337755016
Author: GRAVETTER
Publisher: CENGAGE L
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Chapter 15.3, Problem 8LO
To determine
Definition of type I and type II error also the consequence of each other.
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Discuss the difference between a Type I error and a Type II error. Is it easier to commit one type of error than it is to commit another? Is one type of error more detrimental than another? Why or why not?
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Chapter 15 Solutions
RESEARCH METHODS F/ BEHAV.(LL)-W/MINTAP
Ch. 15.1 - Define the two general categories of statistics,...Ch. 15.1 - Prob. 2LOCh. 15.2 - Prob. 3LOCh. 15.2 - Prob. 4LOCh. 15.2 - Prob. 5LOCh. 15.2 - Prob. 6LOCh. 15.3 - Prob. 7LOCh. 15.3 - Prob. 8LOCh. 15.3 - Explain how sample size and sample variance...Ch. 15.4 - Identify the characteristics that differentiate...
Ch. 15.5 - Describe the two basic concerns with the...Ch. 15.5 - Describe the basic concern with measuring...Ch. 15 - In addition to the key words, you should also be...Ch. 15 - Prob. 2ECh. 15 - A researcher who is interested in examining the...Ch. 15 - Construct a frequency distribution histogram or...Ch. 15 - Under what circumstances are the median and the...Ch. 15 - Describe a distribution of scores that has a mean...Ch. 15 - Prob. 7ECh. 15 - Describe the general concept of sampling error and...Ch. 15 - Briefly explain what is meant when a researcher...Ch. 15 - Prob. 10ECh. 15 - Describe the relationship between the alpha level...Ch. 15 - Explain how increasing the size of the sample can...Ch. 15 - Prob. 13ECh. 15 - Identify the appropriate hypothesis test for each...Ch. 15 - Prob. 15ECh. 15 - Prob. 16E
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- Indicate whether each statement is true or false, and justify your answer.The approval of Vioxx, a painkiller that was taken off the market in 2004 because it was implicated in several cardiac arrests, is an example of Type I error by the Food and Drug Administration.arrow_forwardA researcher has found a strong relationship between level of education and income and concludes that “higher levels of education cause higher income.” What error has been made?arrow_forwardThe term 'Boomerang Generation' refers to the recent generation of young adults who have had to move back in with their parents. In a 2012 survey, 198 out of 801 randomly selected young adults (ages 18-34) had to move back in with their parents after living alone. In a similar survey from the year 2000, 284 out of 1811 young adults had to move back in with their parents. The table below summarizes this information. The standard error (SE) is given to save calculation time. year total # who moved back (xx) total # in survey (nn) proportion p^=x/np^=x/n 2012 198 801 0.247191011235955 2000 284 1811 0.156819436775262 Standard Error: SE = 0.0164608118673214 Test the claim that a greater proportion of all young adults moved back in with their parents in 2012 than in 2000. Test this claim at the 0.05 significance level. (a) Find the test statistic. (b) Find the critical value. (c) Find the pp-value. (d) Is there sufficient data to support the claim?YesNo Can you support the…arrow_forward
- Predict whether they are cause-effect, accidental, or common-cause. Explain your conclusion and, if they are cause-effect, explain which causes the other and why. "People who drink more coffee in the morning are more likely to have insomnia (the inability to sleep) at night."arrow_forwardWhy is the lab technician potentially a confounding variable in the study? What is the best explanation for the answer? Thanks!arrow_forwardThe term 'Boomerang Generation' refers to the recent generation of young adults who have had to move back in with their parents. In a 2012 survey, 192 out of 803 randomly selected young adults (ages 18-34) had to move back in with their parents after living alone. In a similar survey from the year 2000, 282 out of 1806 young adults had to move back in with their parents. The table below summarizes this information. The standard error (SE) is given to save calculation time. total # who moved back (x) total # in survey (n) proportion p = x/n 192 0.239103362391034 282 0.156146179401993 Standard Error: SE= 0.0163543928341931 year 2012 2000 Test the claim that a greater proportion of all young adults moved back in with their parents in 2012 than in 2000. Test this claim at the 0.05 significance level. (a) Find the test statistic. (b) Find the critical value. (c) Find the p-value. (d) Is there sufficient data to support the claim? Yes No 803 1806 Can you support the claim at the 0.01…arrow_forward
- A professor claims that the average grade of students in her courses is 80%. Identify Type II error for this claim. O Fail to reject the claim that average grade is 80% when it is actually 80%. O Fail to reject the claim that average grade is 80% when it is actually different from 80%. O Reject the claim that average grade is 80% when it is actually 80%. O Reject the claim that average grade is 80% when it is actually different from 80%.arrow_forwardFor each of the following relationships, predict whether they are cause-effect, accidental, or common-cause. Explain your conclusion and, if they are cause-effect, explain which causes the other and why. a) Students with a shorter travel time to school have lower test scores. b) Children with more books in their home are more likely to earn a PhD when they grow up. c) People born between the 15th and 25th of any month are more likely to have a cell phone number ending in "26"arrow_forwardA new screening test for Lyme disease is developed for use in the general population. The sensitivity and specificity of the new test are 60% and 70%, respectively. Three hundred people are screened at a clinic during the first year the new test is implemented. Assume the true prevalence of Lyme disease among clinic attendees is 10%. Calculate the number of false positives.arrow_forward
- There are few diseases that have only one causal agent and most diseases are caused by a constellation of factors. A. True B. Falsearrow_forwardSleep apnea is a condition which the sufferers stop breathing momentarily while they are asleep. This condition results in lack of sleep and extreme fatigue during waking hours. A current estimate is that 14.7 million out of the 312.7 million Americans suffer from sleep apnea, or approximately 4.7%. A safety commission is concerned about the percentage of commercial truck drivers who suffer from sleep apnea. They do not have any reason to believe that it would be higher or lower than the population's percentage. To test the claim that the percentage of commercial truck drivers who suffer from sleep apnea is not 4.7% , a simple random sample of 366 commercial truck drivers examined by a medical expert, who concludes that 25 suffer from sleep apnea. Does this evidence support the claim that the percentage of commercial truck drivers who suffer from sleep apnea is not 4.7% ? Use a 0.02 level of significance. Step 2 of 3 Compute the value of the test statistic. Round your answer to two…arrow_forward• A quality manger developed a control chart that showed the process is out of control where in fact the process was under control. this is known as producer risk or type one error Select one: O True O Falsearrow_forward
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