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In this study, we simulate bivariate normal data. We gain intuition about the bivariate normal distribution by comparing the generated data to the associated bivariate normal density surface. We also get results about covariance and correlation. We will use tools from linear algebra to discuss transformations of random normal vectors, and the use of contours.


This poster was presented at the 30th Semi-Annual Honors and Undergraduate Research Scholars Poster Presentation at New York City College of Technology, May 1, 2019.

Mentor: Professor Satyanand Singh (Mathematics).



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