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T test in Excel for Hospital Performance Data: The Recap

Data Science Consultant , Freedman HealthCare, LLC

Mr. Ganguly is a seasoned and highly skilled consultant who brings expertise and leadership in the areas of data and database design, analysis, coding, statistical modelling, and developing analytic products to the FHC team. In his capacity as a Data Science Consultant, Mr. Ganguly has guided clients on addressing analytical and technical challenges, and provided them with meaningful, accurate, and timely analysis of health data.

Post 3:

In this post, I will summarize the steps used from the previous blog post in applying the T test to hospital quality data, using one of the measures from CMS Hospital Compare as an example. The formula references in this post are directly from prior blog, so it is probably helpful for you to have both posts up at the same time

Recap:

  • Bring in your hospital data into Excel. It should include the hospitals being analyzes in one column and their performance in another, as well as the weighted average performance on the last row.
  • Sample size should be brought in if you need to calculate the weighted average (Formula 1.1).
  • Calculate the number of hospitals being studied (Formula 2.1), standard deviation (Formula 2.2), and degrees of freedom (Formula 2.3).
  • Obtain p-value by applying T test (Formula 3.1)

To play around with the example and maybe even apply your own data and run the T test on it, feel free to download the Excel Spreadsheet.

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T test in Excel for Hospital Performance Data: Running the T Test
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