In order to determine whether the true percentages of ADES in the five "cause" categories differ, a chi-square analysis was conducted. Use the chi-square distribution to determine the rejection region when testing at a = 0.025.
In order to determine whether the true percentages of ADES in the five "cause" categories differ, a chi-square analysis was conducted. Use the chi-square distribution to determine the rejection region when testing at a = 0.025.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 4GP
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Question
![Solve the problem.
An adverse drug effect (ADE) is an unintended injury caused by prescribed medication. The table summarizes the proximal cause of 95
ADES that resulted from a dosing error at a Boston hospital.
WRONG DOSAGE USE
(1) Lack of knowledge of drug
NUMBER OF ADES
29
17
(2) Rule violation
(3) Faulty dose che cking
(4) Slips
(5) Other
13
27
TOTAL 95
In order to determine whether the true percentages of ADES in the five "cause" categories differ, a chi-square analysis was conducted. Use
the chi-square distribution to determine the rejection region when testing at a = 0.025.
Reject Ho if x2 > 14.4494
O Reject Ho if x² > 12.8325
O Reject Ho if x² > 9.48773
O Reject Ho if x2 > 11.1433](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F90e33f11-fddf-4655-951f-c0655b4a34d6%2F8fde44ba-1e14-48f9-bd37-0c61ee1ab97a%2F847kz9w_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Solve the problem.
An adverse drug effect (ADE) is an unintended injury caused by prescribed medication. The table summarizes the proximal cause of 95
ADES that resulted from a dosing error at a Boston hospital.
WRONG DOSAGE USE
(1) Lack of knowledge of drug
NUMBER OF ADES
29
17
(2) Rule violation
(3) Faulty dose che cking
(4) Slips
(5) Other
13
27
TOTAL 95
In order to determine whether the true percentages of ADES in the five "cause" categories differ, a chi-square analysis was conducted. Use
the chi-square distribution to determine the rejection region when testing at a = 0.025.
Reject Ho if x2 > 14.4494
O Reject Ho if x² > 12.8325
O Reject Ho if x² > 9.48773
O Reject Ho if x2 > 11.1433
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