6/17/2023 0 Comments Statistics vs calculus![]() Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 240/Statistics 250 (formerly Mathematics 265 and 275) Probability/Statistical Inference sequence. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. (Formerly MATH 215) Introduction to statistics and data analysis. Prerequisites: Mathematics 120 or Mathematics 211Ħ credits Formal or Statistical Reasoning offeredĬaroline Turnage-Butterbaugh, Steve Scheirer, MurphyKate Montee, Kate Meyer Topics include kernel and image of a linear transformation, vector spaces, determinants, eigenvectors and eigenvalues. The course focuses on developing geometric intuition as well as computational matrix methods. ![]() In fact, differentiation is also a linear transformation that takes one function to another. They appear in calculus as the functions that are used to define lines and planes in Euclidean space. Linear transformations are everywhere, once we know what to look for. ![]() ![]() Given the abundance of nonlinear functions in mathematics, it may come as a surprise that restricting to linear ones opens the door to a rich and powerful theory that finds applications throughout mathematics, statistics, computer science, and the natural and social sciences. Linear algebra centers on the study of highly structured functions called linear transformations. ![]()
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