01 Introduction

01 Introduction - Biological Statistics I BRTY 3010 / NTRES...

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Biological Statistics I BRTY 3010 / NTRES 3130 /STSCI 2200 Fall 4 credits Lecture: T and Th 10:10 - 11:25 Bradfield 101 Labs: M 12:20-1:10, 1:25-2:15, 2:30-3:20, 3:35-4:25 W 2:30-3:20, 3:35-4:25 Mann 30B Instructor: Dr. Patrick J. Sullivan 214 Fernow 255-8213 [email protected]
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Teaching Assistants ± David Clement ± [email protected] ± Muting Wan ± [email protected]
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Course Textbook ± Devore and Berk (D&B 2007) ± Modern Mathematical Statistics with Applications
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Grading ± Homeworks ± Handed out on Thursday due back the following Thursday. ± Lab Projects ± Handed out at beginning of Lab due at next Lab. ± Grading ± Homeworks 20% ± Lab Projects 20% ± Exam 1 20%, Exam 2 20%, Exam 3 20% ± Class participation 5% (Note, sum total is 105%) ± Grade ± Your Total Percent Times 4.0
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Prerequisites ± One semester of calculus = = = = 0 1 1 1 0 lim k k b b x x r r bx x dx d e
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Course Website ± Direct ± http://courses.cit.cornell.edu/natres313/syllabus3131.html ± Login id: ntres3130 ± Password: stats ± Indirect ± www.cornell.edu ± www.dnr.cornell.edu ± http://www.dnr.cornell.edu/pjs31/ quantitativepopulation.htm
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iClicker Polling Registration ± http://atcsupport.cit.cornell.edu/pollsrvc/
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Class Demographics ± Question 1: ± A: Freshman ± B: Sophomore ± C: Junior ± D: Senior ± E: Graduate
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Class Demographics ± Question 2 ± A: Female ± B: Male
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Scientific Method ± Make observations ± Form a hypothesis ± Make predictions ± Test the hypothesis ± Rinse and repeat Shoals Marine Laboratory
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Science and Life in General ± Observation ± Analysis ± Understanding ± Judgment ± Action
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Uncertainty ± Will it rain tomorrow? ± Will Ichiro Suzuki get a hit at his next at bat? ± Will California condors go extinct? ± Are PCBs a health problem in the Hudson River? ± Is there enough water being left in the Klamath River to support the fish?
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Statistical Methods ± Provide a logical objective structure for addressing questions that are inherently uncertain.
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General Topics ± Data ± Trend and Variation ± Hypothesis Testing ± Statistical Modeling ± Applied Statistical Theory ± Computational Methods
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Splus / R ± A statistical computing environment
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Collecting Data ± Sex (M,F) ± Head Circumference (cm) ± Foot Size (cm)
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A Little Math ± Build on basic statistical concepts ± Mean ± Variance ± Correlation ± Probability ± Build conceptual models ± Make predictions
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This note was uploaded on 11/12/2009 for the course BTRY 3010 at Cornell.

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01 Introduction - Biological Statistics I BRTY 3010 / NTRES...

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