AMS 5 Lecture 4: stats lecture note lecture4

AMS 5 Lecture 4: Stats Note Chap 1&2

AMS 5 Lecture 5: stats lecture note lecture5

AMS 5 Lecture 5: stats note chap 5

AMS 5 Lecture 6: stats note chap 5

AMS 5 Lecture 7: stats note chapter8

AMS 5 Lecture 8: stats lecture note chap10 and midterm note

AMS 5 Lecture 12: Stats lecture note feb14

AMS 5 Lecture 13: stat lecture note feb 19

AMS 5 Lecture 14: stat lecture note feb 21

AMS 5 Lecture 15: stat lecture note feb 26

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Introduction to statistical methods/reasoning, including descriptive methods, data-gathering (experimental design and sample surveys), probability, interval estimation, significance tests, one- and two-sample problems, categorical data analysis, correlation and regression. Emphasis on applications to the natural and social sciences. Students cannot receive credit for this course if they have already received credit for course 7. (General Education Code(s): SR, IN, Q.) The Staff, H. Lee, A. Kottas, R. Morris, B. Mendes, J. Katznelson, A. Rodriguez, B. Sanso

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