This is one of a set of experiments designed for lower level undergraduate courses. The focus of the experimental set is to introduce pharmaceutical concepts to undergraduates while also incorporating general engineering educational objectives. This contains both a student version and instructor version. A sample F-Table and T-table are also provided. These tables were taken from the Montgomery text, Engineering Statistics. For this experiment, students take mass measurement of two types of ibuprofen tablets; Advil® brand and a generic brand. Students are given ten samples of each brand, and then take mass measurements using an analytic scale. The first calculations performed are mean, standard deviation, and variance of both brands. Students then determine if the mass of the two brands are significantly different from each other through an F-test. A T-test is then used to compare the two sets of data to a known mass of an ibuprofen tablet. The objectives of this experiment are: Students will perform a basic statistical analysis applied to an over-the-counter drug; Students will learn about pharmaceutical engineering, including key terms and concepts. This experiment (and the others in this set) were developed by Rowan University as part of the NSF-funded Engineering Research Center (ERC) for Structured Organic Particulate Systems (SOPS).

Researchers should cite this work as follows:

• Alexander Vincent Jannini; David J Krause; Heather Malino; Kevin Sweeney; C.S. Slater PhD; M.J. Savelski (2014), "Tablet Statistical Analysis Lab - Student and Instructor's Version," https://pharmahub.org/resources/626.

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1. Experiments
2. Laboratories
3. Pharmaceutical manufacturing
4. Statistical model building
5. undergraduate education