A researcher is conducting a study on the palliative care of patients at a specific facility to determine how their chronic pain symptoms change after entering the palliative care environment. This study is aimed at determining the effectiveness of a standardized treatment protocol for the patients entering into the palliative care environment. To do this, the researcher is comparing the pain scores of individuals before treatment and after treatment. Set up a Wilcoxon signed-ranks test and interpret it at the alpha equals .05 level.PatientBefore TreatmentAfter TreatmentValue of DifferencesOrdered Absolute Values of DifferencesRanksSign Rank194 2105 373 485 567 695 764 873 994 A) We fail to reject H0, which states the median difference in the pain scores before and after treatment are equal because 40 is less than the critical value 6 for a Wilcoxon signed-ranks test with a population of only 9 individuals.B) We fail to reject H0, which states the median difference in the pain scores before and after treatment are equal because 40 is greater than the critical value 6 for a Wilcoxon signed-ranks test with a population of only 9 individuals.C) We reject H0 in favor of H1, which states the median difference in pain scores before and after treatment are not equal because 1 is less than the critical value 6 for a Wilcoxon signed-ranks test with a population of only 9 individuals.D) We reject H0 in favor of H1, which states the median difference in pain scores before and after treatment are not equal because 1 is greater than the critical value 6 for a Wilcoxon signed-ranks test with a population of only 9 individuals. OrderedAbsoluteBeforeTreatmentAfterValue ofPatientRanksSign RankTreatment DifferencesValues ofDifferences19.4210537348579.76.48739.9.4

The hypothesis to be tested here is- H0:The median difference is 0H1:The median difference is not 0…

Answered: A researcher is conducting a study on…

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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A researcher is conducting a study on the palliative care of patients at a specific facility to determine how their chronic pain symptoms change after entering the palliative care environment. This study is aimed at determining the effectiveness of a standardized treatment protocol for the patients entering into the palliative care environment. To do this, the researcher is comparing the pain scores of individuals before treatment and after treatment. Set up a Wilcoxon signed-ranks test and interpret it at the alpha equals .05 level.

Patient	Before Treatment	After Treatment	Value of Differences	Ordered Absolute Values of Differences	Ranks	Sign Rank
1	9	4
2	10	5
3	7	3
4	8	5
5	6	7
6	9	5
7	6	4
8	7	3
9	9	4

A) We fail to reject H_0, which states the median difference in the pain scores before and after treatment are equal because 40 is less than the critical value 6 for a Wilcoxon signed-ranks test with a population of only 9 individuals.
B) We fail to reject H_0, which states the median difference in the pain scores before and after treatment are equal because 40 is greater than the critical value 6 for a Wilcoxon signed-ranks test with a population of only 9 individuals.
C) We reject H₀in favor of H_1, which states the median difference in pain scores before and after treatment are not equal because 1 is less than the critical value 6 for a Wilcoxon signed-ranks test with a population of only 9 individuals.
D) We reject H₀in favor of H_1, which states the median difference in pain scores before and after treatment are not equal because 1 is greater than the critical value 6 for a Wilcoxon signed-ranks test with a population of only 9 individuals.

Ordered
Absolute
Before
Treatment
After
Value of
Patient
Ranks
Sign Rank
Treatment Differences
Values of
Differences
1
9.
4
2
10
5
3
7
3
4
8
5
7
9.
7
6.
4
8
7
3
9.
9.
4

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

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