Order the following epidemiologic study designs (from 1 being the best, to 8 being the worst) in terms of their effectiveness in supporting causal inference. a) case report or cass series b) cross sectional study c) ecological study d) case-control study e) prospective cohort study f) retrospective cohort study g) randomized, double-blind experimental study h) community experimental study

Order the following epidemiologic study designs (from 1 being the best, to 8 being the worst) in terms of their effectiveness in supporting causal inference. a) case report or cass series b) cross sectional study c) ecological study d) case-control study e) prospective cohort study f) retrospective cohort study g) randomized, double-blind experimental study h) community experimental study

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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An owner of an ice cream shop wants to investigate whether a new training program affects the scooping skills of ice cream shop employees. To assess this, the owner divides employees into two groups: those who receive training (CT) and those who do not (NT). The owner evaluates their scooping skills using a scooping proficiency test. The dataset includes the test scores of the NT (no training) group: 15.00, 7.00, 18.00, 10.00, 6.00, and 20.00, and the CT (trained) group: 15.00, 10.00, 14.00, 7.00, 21.00, and 21.00. The owner is aware of the known population mean for scooping proficiency, which is 20. The hypothesis is that employees who did not receive training (NT) will likely have lower scooping proficiency than the population mean. To investigate this hypothesis, the owner conducts a one-sample t-test with a significance level (alpha) set at 0.05. The objective is to determine if the mean scooping proficiency of the NT group is significantly different from the established population…
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even though we may observe a strong relationship between the explanatory and response variables, a lurking variable may also influence the response vatiabke. This is reffered to as A. correlation B. confounding C.association D. causation
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