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1.7 Summary
ОглавлениеTable 1.1 summarizes the statistical tools covered in each of the cases.
Table 1.1 Summary of statistical tools.
Chapter | Title | Statistical tools |
2 | Improving Patient Satisfaction | Data visualization Descriptive statistics |
3 | Length of Stay and Readmission for Hospitalized Diabetes Patients | Data visualization Descriptive statistics |
4 | Identify and Communicate Opportunities for Reducing Hospital Length of Stay Using JMP Dashboards | Data visualization Dashboards |
5 | Variability in the Cost of Hip Replacement | Data visualization Descriptive statistics Outlier analysis |
6 | Benchmarking the Cost of Hip Replacement | Descriptive statistics Data visualization Hypothesis test of mean Confidence interval for mean |
7 | Nursing Survey | Data visualization Descriptive statistics Hypothesis test of proportion Hypothesis test for difference between two proportions Confidence interval for proportion |
8 | Determining the Sample Size for a Nursing Research Study | Hypothesis testing Sample size determination Power analysis |
9 | Mapping California Ambulance Diversion | Descriptive statistics Data visualization Geographic mapping |
10 | Monitoring Ambulance Diversion Hours | Descriptive statistics Data visualization IR Control charts |
11 | Ambulatory Surgery Start TImes | IR Control charts X‐bar R charts P charts |
12 | Pre‐Op TJR Process Improvement – Part 1 | Data visualization Descriptive statistics Time series |
13 | Pre‐Op TJR Process Improvement – Part 2 | Data visualization Descriptive statistics Process capability |
14 | Pre‐Op TJR Process Improvement – Part 3 | Data visualization Descriptive statistics Hypothesis test on mean difference Confidence interval on mean difference |