Question
THIS IS FOR THE RESULTS SECTION OF MY STUDY: I AM MEASURING WAITING TIME WITH THE GOAL OF REDUCING WAIT TIME IN AN OUTPATIENT DEPT
THIS IS FOR THE RESULTS SECTION OF MY STUDY:
I AM MEASURING WAITING TIME WITH THE GOAL OF REDUCING WAIT TIME IN AN OUTPATIENT DEPT OF A HOSPITAL. 2 SEPARATE DATA SETS WERE DONE - BEFORE THE IMPLEMENTATION OF LEAN METHODOLOGY AND AFTER THE IMPLEMENTATION OF LEAN. I AM TRYING TO IMPROVE THE HOSPITAL APPOINTMENT PROCESSES BY IMPLEMENTING LEAN METHODOLOGY (I.E. - VALUE STREAM MAP, ROOT CAUSE ANALYSIS, PATIENT SCHEDULING AND QUEUE SYSTEM).
I NEEDED TO DETERMINE NORMALITY.....OR NORMAL DISTRIBUTION IN THE STUDY
NEED HELP IN INTERPRETING THE ATTACHED CHARTS.....I RAN AN ANDERSON-DARLING PARAMETRIC TEST......ALSO RAN A MANN-WHITNEY NON-PARAMETRIC TEST.....ALSO RAN A 2-SAMPLE T-TEST. AM I CORRECT TO DO THESE?
ALSO - When do we need to find out about determining whether data sets are normally distributed?at what point in the study should this be done? And why do we need to find this out?If we run a mann-whitney test, can we also run a 2-sample t test?I am trying to measure waiting time with 2 separate data sets - one set before the implementation of Lean methodology, and the other set after the implementation of Lean.Please advise.
CHARTS ARE ATTACHED:
THANKS FOR YOUR KINDNESS! YOU FOLKS ARE THE BEST! NUMBER ONE IN THE WORLD!!
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