IE 7315 Human Factors Engineering Lab Series Lab 3 - Engineering Anthropometry Introduction: To design any new product, it is important for the engineer to understand the key characteristics of their

target populations. A field that can be useful is anthropometry, which involves the scientific study of the measurements and proportions of the human body. This lab examines regression equations regarding human anthropometric data, based on the methodology established by Karl H.E. Kroemer. During the lab, you will measure the common body dimensions via practice. You will also formulate your own equations using a Multiple Linear Regression (MLR) on the class data. MLR is a statistical model that assumes that a dependent variable (predicted value) can be estimated by decomposing into a weighted sum of causal factors (predictors) plus an error term which takes the form: Ý = Bo + Boxie + Beze t •+Bmxmt + ε Objectives: • Understand the theory and the application of ergonomics • Use appropriate techniques and equipment to take body measurements • Learn how to use correlation and perform data analysis utilizing MLR Apparatus: Flexible Measuring Tape, Tape Measure, Ruler, Weighing Scale Methods: 1. Measure your body dimensions listed in Table 1. You can also welcome to use your roommate's, friend's body dimensions in Table 1. 2. In the Data Analysis session, use the dataset posted by TA to work on Step 1, 2, and 3, and use the data in Table 1 for Step 4. 3. Finish the rest of the report./nLab Report: The lab report should include the following sections: 1. Introduction - What is the purpose of the lab? 2. Research Methods - How does the data collect? Attach your Table 1's data. 3. Data Analysis - Describe your work and results on these steps. Attach your Excel or Minitab outputs (tables, graphs, equations, etc.) to your lab report. Other stat software is permitted. 4. Discussion and Conclusion - Answer the discussion questions and your findings/thoughts on Kroemer's research [1], along with your insightful analysis of your results. Reference: [1] Kroemer K.H., Kroemer H.J., Kroemer-Elbert K.E. (2010) Engineering Anthropometry. In: Engineering Physiology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642- 10000 11