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Statistics

STAT E-50 Introduction to Statistics
4 units. Undergraduate credit $700, graduate credit $1,600.

Fall term (11094) (Website) (Print View): Joan Weinstein, CAS, MA, Professor of Mathematics and Computers, Pine Manor College. Tuesday, Sept. 20, 7:35-9:35 pm, Harvard Hall, Room 104. Optional sections to be arranged. Online and on-campus options. See the Distance Education website. Lecture 1 video. Lecture 2 video.

Spring term (20993) (Website) (Print View): Joan Weinstein, CAS, MA, Professor of Mathematics and Computers, Pine Manor College. Monday, Jan. 30, 5:30-7:30 pm, Harvard Hall, Room 104. Optional sections to be arranged. Online and on-campus options. See the Distance Education website. Lecture 1 video.

An introduction to descriptive and inferential statistics, including random variables, discrete and continuous distributions, correlation and regression, hypothesis testing, estimation, and elementary probability. Students learn to analyze data using PC-based statistical software. No previous knowledge of statistics is assumed. Prerequisites: high school algebra and satisfactory math placement test score.
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STAT E-102 Introduction to Biostatistics
4 units. Undergraduate credit $700, graduate credit $1,600.

Fall term (11440) (Website) (Print View): Scott R. Evans, PhD, Research Scientist in Biostatistics, Center for Biostatistics in AIDS Research, Harvard School of Public Health. Wednesday, Sept. 21, 7:35-9:35 pm, Sever Hall, Room 113. Optional sections to be arranged. Online and on-campus options. See the Distance Education website. Lecture 1 video. Lecture 2 video.

Spring term (21241) (Website) (Print View): Scott R. Evans, PhD, Research Scientist in Biostatistics, Center for Biostatistics in AIDS Research, Harvard School of Public Health. Ping Kathryn Ruan, PhD, Research Associate in Biostatistics, Harvard School of Public Health. Wednesday, Feb. 1, 7:35-9:35 pm, Harvard Hall, Room 201. Optional sections to be arranged. Online and on-campus options. See the Distance Education website. Lecture 1 video. See course website for all other lectures.

This course is an introduction to statistical methods used in public health, biological, and medical sciences. Topics include descriptive statistics, performance characteristics of diagnostic tests, graphical methods, estimation, hypothesis testing, p-values, confidence intervals, correlation, linear regression, and clinical trials.
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