Lecture01

Lecture01 - STAT 350: INTRODUCTION TO STATISTICS COURSE...

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STAT 350: INTRODUCTION TO STATISTICS
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C OURSE I NFORMATION Instructor: Dr. Sarah H. Sellke Office: HAAS 114; Email: ssellke@purdue.edu Course Website: http://www.stat.purdue.edu/~ssellke/stat350 Prerequisite: MA 161 and MA 162 Required Textbook: Applied Statistics for Engineers and Scientists 2 nd edition, By Devore and Farnum Recommended Book: Statistics (any edition), by David Freedman, Robert Pisani, and Roger Purves
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G RADING P OLICY Formula: Homework: 75 Lab: 50 Classroom Participation: 25 Exam 1: 100 Exam 2: 100 Final Exam: 150 TOTAL: 500 Letter Grade Cutoffs: A : 450 and above B: [400, 450) C: [350, 400) D: [300, 350) F: [0, 300)
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No Late Homework One lowest homework score will be dropped No Late Lab One lowest lab score will be dropped Make-up Exams: Must have valid reasons with proper documentation Work or Job Interviews are not a valid excuses. Follow the proper procedure outlined in the course
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Lecture01 - STAT 350: INTRODUCTION TO STATISTICS COURSE...

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