Assignment 1 Unit 3.docx Descriptive Statistics & Data Visualization 1 MHA5017 Descriptive Statistics & Data Visualization Capella U
...
Assignment 1 Unit 3.docx Descriptive Statistics & Data Visualization 1 MHA5017 Descriptive Statistics & Data Visualization Capella University Data Analysis for Health Care Decisions MHA5017 Narrative Summary The data set below includes three variables which include utilization, patient satisfaction, and readmission. Each variable in the output key statistics consist of data that includes the range, minimum, maximum, sum, and count. In addition to the mean, median, mode, and standard deviation. The utilization variable is the average number of patient days per month, the patient satisfaction variable is the percentile rank scores, and the readmission variable is the rate per month for 70 people. The count includes the number of values which in this data set is 70 people. The sum in each variable is the total number of values or patient days in a month, the total number of patient satisfactions score rankings, and the total number of readmissions for the month. Next, the minimum in the utilization variable is the lowest utilization rate of 21.39, in the satisfaction variable this is the lowest patient satisfaction score of 3, and 0.007 is the lowest readmission rate versus the maximum which is the highest value. The range is the maximum value minus the minimum value of each variable. The mean, median, and mode are the three-central tendencies. The mean is the average, the median refers to the middle value in. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .. .. . . . . . . . . . . . . . . . . . .. . . . .
[Show More]
