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16. The sampling situation for calculating the standard error of the estimate, se(pd - Ân), is: one sample of size 1682, several response categories. two independent samples of sizes 2893 and 1264. one sample of size 4157, many yes/no items. one sample of size 4157, several response categories. one sample of size 1682, many yes/no items. O

16. The sampling situation for calculating the standard error of the estimate, se(pd - Ân), is: one sample of size 1682, several response categories. two independent samples of sizes 2893 and 1264. one sample of size 4157, many yes/no items. one sample of size 4157, several response categories. one sample of size 1682, many yes/no items. O

MATLAB: An Introduction with Applications
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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16. The sampling situation for calculating the standard error of the estimate, se(pd - Ân), is: O one sample of size 1682, several response categories. Otwo independent samples of sizes 2893 and 1264. O one sample of size 4157, many yes/no items. O one sample of size 4157, several response categories. Ⓒone sample of size 1682, many yes/no items.
Transcribed Image Text:16. The sampling situation for calculating the standard error of the estimate, se(pd - Ân), is: O one sample of size 1682, several response categories. Otwo independent samples of sizes 2893 and 1264. O one sample of size 4157, many yes/no items. O one sample of size 4157, several response categories. Ⓒone sample of size 1682, many yes/no items.
Researchers investigated the propensity of patients in emergency rooms to be prescribed pain medication. The dataset for this study included the discharge notes of over 4000 patients attending a hospital emergency room between 2014 and 2019. Choshen-hillel, S., Sadras, I., Gordon-hecker, T., Genzer, S., Rekhtman, D., & Caruso, E. M. (2022). Physicians prescribe fewer analgesics during night shifts than day shifts. Proceedings of the National Academy of Sciences, 119(27), e2200047119. Two of the variables collected are described below: Shift Type The type of shift the attending physician was working at the time the patient was seen. - Day shift (8 or 15 hour shift starting at 8am) - Night shift (12 or 16 hour shift starting at 8pm) Prescription Shift type Whether or not pain medication was prescribed - Prescribed - Not prescribed The data collected on these two variables is displayed in the two-way table of counts below: Day shift Night shift Prescription Prescribed Not-prescribed Total 1644 2893 1249 433 831 1264 1682 2475 4157 Table 1: A two-way table of counts of the patient data Let: Pd be the underlying proportion of patients, seen by a Day shift physician, who received a prescription for pain medication. and Pn be the underlying proportion of patients, seen by a Night shift physician, who received a prescription for pain medication. The t-procedures tool was used to carry out a two-sided test for no difference between pd and Pn. Output from the t-procedures tool is given in Figure 1. Confidence level 95 se(p1 - p₂) = 0.0162 t-multiplier = 1.96 Hypothesised value for P₁ - P20 two-tailed P-value = 0.0000 (4 d.p.) Figure 1: Screenshot of the t-procedures tool
Transcribed Image Text:Researchers investigated the propensity of patients in emergency rooms to be prescribed pain medication. The dataset for this study included the discharge notes of over 4000 patients attending a hospital emergency room between 2014 and 2019. Choshen-hillel, S., Sadras, I., Gordon-hecker, T., Genzer, S., Rekhtman, D., & Caruso, E. M. (2022). Physicians prescribe fewer analgesics during night shifts than day shifts. Proceedings of the National Academy of Sciences, 119(27), e2200047119. Two of the variables collected are described below: Shift Type The type of shift the attending physician was working at the time the patient was seen. - Day shift (8 or 15 hour shift starting at 8am) - Night shift (12 or 16 hour shift starting at 8pm) Prescription Shift type Whether or not pain medication was prescribed - Prescribed - Not prescribed The data collected on these two variables is displayed in the two-way table of counts below: Day shift Night shift Prescription Prescribed Not-prescribed Total 1644 2893 1249 433 831 1264 1682 2475 4157 Table 1: A two-way table of counts of the patient data Let: Pd be the underlying proportion of patients, seen by a Day shift physician, who received a prescription for pain medication. and Pn be the underlying proportion of patients, seen by a Night shift physician, who received a prescription for pain medication. The t-procedures tool was used to carry out a two-sided test for no difference between pd and Pn. Output from the t-procedures tool is given in Figure 1. Confidence level 95 se(p1 - p₂) = 0.0162 t-multiplier = 1.96 Hypothesised value for P₁ - P20 two-tailed P-value = 0.0000 (4 d.p.) Figure 1: Screenshot of the t-procedures tool
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