MHA FPX 5017 Assessment 2 Hypothesis Testing for Differences Between Groups
MHA FPX 5017 Assessment 2 Hypothesis Testing for Differences Between Groups
The provision of a general distribution among the samples controls the selection of tests. A symmetrical distribution ensures symmetrical data presentation, while the current asymmetrical appearance reflects uneven forms, in favor of Wilcoxon signed-Rank test (Chang & Paron, 2017). Both samples have a sufficient sample size (n = 100) to an independent T-test to estimate the normal distribution. There are two independent T-tests presented below, assuming uniform transformations and the others consider different forms.
Table 1: Two-Sample t-test Assuming Equal Variances
| Clinic 1 | Clinic 2 | |
| Mean | 124.32 | 145.03 |
| Variance | 2188.543 | 1582.514 |
| Observations | 100 | 100 |
| Pooled Variance | 1885.529 | – |
| Hypothesized Mean Difference | 0 | – |
| df | 198 | – |
| t Stat | -3.37247 | – |
| P(T<=t) one-tail | 0.000448 | – |
| t Critical one-tail | 1.65258 | – |
| P(T<=t) two-tail | 0.000896 | – |
| t Critical two-tail | 1.972017 | – |
Table 2: Two-Sample t-test Assuming Unequal Variances
| Clinic 1 | Clinic 2 | |
| Mean | 124.32 | 145.03 |
| Variance | 2188.543 | 1582.514 |
| Observations | 100 | 100 |
| Pooled Variance | 1885.529 | – |
| Hypothesized Mean Difference | 0 | – |
| df | 193 | – |
| t Stat | -3.37247 | – |
| P(T<=t) one-tail | 0.00045 | – |
| t Critical one-tail | 1.652787 | – |
| P(T<=t) two-tail | 0.0009 | – |
| t Critical two-tail | 1.972332 | – |
Clinic 2 shows a high medium than clinic 1 in both scenarios, indicating better performance. The importance of importance (α = 0.05) with p-minds is a rejected, disabled hypothesis. As a result, the clinic 1 patient’s visit varies from clinic 2 depending on data.
Recommendation
MHA FPX 5017 Assessment 2 According to the data, Clinic 2 performs better than clinic 1, which is accompanied by relatively close performance. Therapeutic action for underperforming clinics involves analyzing clinical workflows, planning and ordering of software, staff education, invoicing and coding practices. A comprehensive analysis identifies areas with reduced areas, enabling administrators to prepare date -driven recommendations to increase the clinic’s performance (Aspelter, 2023).
