Some details about a study indicate the findings are, in fact, quite strong. Which of the followingdetails would not indicate the findings are strong?The effect size was largeO There is a known underlying biological mechanismO There were many authors are on the publicationO The confidence interval of the observed significant p value was smallThere was a large Odds RatioO A dose-dependent relationship was observed.

Let us first understand what robust findings mean. When we say that the findings of a study are…

Answered: Some details about a study indicate the…

Social Psychology (10th Edition)

10th Edition

ISBN:9780134641287

Author:Elliot Aronson, Timothy D. Wilson, Robin M. Akert, Samuel R. Sommers

Publisher:Elliot Aronson, Timothy D. Wilson, Robin M. Akert, Samuel R. Sommers

Chapter1: Introducing Social Psychology

Section: Chapter Questions

Problem 1RQ1

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Activity 19 number 1
You create a 95% confidence interval for the proportion of a population. The confidence interval does not contain 0.10. This means that Group of answer choices a.You have evidence to conclude that the population proportion is equal to 0.10. b.You do not have evidence to conclude that the population proportion is equal to 0.10. c.You have evidence to conclude that the population proportion is not equal to 0.10. d.You do not have evidence to conclude that the population proportion is not equal to 0.10. e.The answer cannot be determined with the information given.
A myopenmath.com MyOpenMath Statistics Question | bartleby + O 41mins X You are conducting a study to see if the proportion of men over 50 who regularly have their prostate examined is significantly less than 0.47. You use a significance level of = 0.005. Ho:p = 0.47 H1:p < 0.47 You obtain a sample of size 739 in which there are 322 successes. What is the test statistic for this sample? (Report answer accurate to 3 decimal places.) What is the p-value for this sample? (Report answer accurate to 4 decimal places.) This test statistic leads to a decision to O reject the null accept the null O fail to reject the null As such, the final conclusion is that O there is sufficient evidence to conclude that the proportion of men over 50 who regularly have their prostate examined is less than 0.47. there is not sufficient evidence to conclude that the proportion of men over 50 who regularly have their prostate examined is less than 0.47. O there is sufficient evidence to conclude that the…
Determine whether the results below appear to have statistical significance, and also determine whether the results have practical significance. In a study of a weight loss program, 6 subjects lost an average of 49 lbs. It is found that there is about a 23% chance of getting such results with a diet that has no effect. (... Does the weight loss program have statistical significance? OA. Yes, the program is statistically significant because the results are unlikely to occur by chance. OB. Yes, the program is statistically significant because the results are likely to occur by chance. OC. No, the program is not statistically significant because the results are likely to occur by chance. O D. No, the program is not statistically significant because the results are unlikely to occur by chance. Does the weight loss program have practical significance? O A. No, the program is not practically significant because the amount of weight lost is trivial. O B. Yes, the program is practically…
“Type I Error Blues,” by David Stein The managers huddled to see if they had won or lost. Did the new process from 2 months before yield data showing a reduction in cost? Or was it merely a matter of chance… Too soon to do the data dance? So they set about the business of crafting a hypothesis test In order to conclude which process was best. With the null hypothesis meaning “status quo”, no change evident They quickly concluded H0 could not stand, as was their true intent. Just one month later, they realized their grave mistake! A Type II error would have been so much safer, for goodness sake. Alas, their final huddle was a sad one with HR Director Bob. He told them to go back to training school as each was now in need of a new job. What was the likely managerial mood and outcome on the days immediately following the (erroneous) conclusion to reject this null hypothesis? What would have been the likely managerial mood and outcome on the days immediately following an…
00 00 0 Chalkduster 07+lab+110 15 lılı @27% Part 2. Estimating Population Parameters 3. In a Harris poll of 2036 adults, 40% said that they prefer to get their news online. Construct a 95% confidence interval estimate of the percentage of adults who say that they prefer to get their news online. Can we safely say that fewer than 50% of adults prefer to get their news online? 4. The LA times printed the headline "Most California Voters Support Legalizing Recreational Marijuana." That headline was based on a survey of 1879 Californians, with 1090 of them supporting Proposition 64 (which passed during the November 2016 election and opened up the state for legal cannabis sales starting in 2018). Use the survey results to construct a 95% confidence interval estimate for the percentage of Californians who support legalization of recreational marijuana. Is the claim in the headline supported by the poll findings? X
Pearson’s correlation is the only statistical test that can measure the relationship between two variables. a. True b. False A strong correlation indicates there is a cause-and-effect relationship between two variables. a. True b. False Within a hypothesis test, estimated standard error provides a measurement of which of the following: a. The typical amount of sampling error expected when the null hypothesis is true b. The typical mean expected when the null hypothesis is true c. The typical amount of sampling error expected when the null hypothesis is false d.The typical mean expected when the null hypothesis is false
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One disadvantage of a repeated measures design is the possibility of order effects. Which of the following statements is false? O Order effects are often due to the treatment itself. O Order effects can bias the results of an experiment. O Order effects can be lessened by applying counterbalancing to the experimental design. O An order effect is an increase or decrease in the response to each subsequent treatment due to an increase in learning, fatigue, or boredom.

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