Statistics 571

Statistical Methods for Bioscience I

Course Information |

Lecture Notes |

Homework |

Office Hours |

Exam Solutions |

Final Exam Information |

R |

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Exam Announcements!

You may take the exam at either location, even if registered for the other course. We expect almost all of you will attend the exam you typically attend for lecture.

You will need normal and t tables for the exam. If you have a book, they are there. If not, please print out copies and bring them with you to the exam.
Whitlock and Schluter Tables

Course Information

• Course Information

Lecture Notes

Date	Topic	Notes [slides per page]	Text	Handouts/Comments
Sept. 2	Introduction	[1] [2] [4]
Sept. 2	Data	[1] [2] [4]	1.1, 1.3, 1.5
Sept. 7	Population and Samples	[1] [2] [4]	1.2, Interleaf 2	Easton etal. (2010) Time article
Sept. 9--21	Inference for Proportions Binomial and Discrete Distributions Linearity of Expectation and Variance Sampling Distribution of Sample Proportions Confidence Intervals for Proportions Hypothesis Testing for Proportions	[1] [2] [4]	3.4 4.1-4.2 5.1-5.6 6.1-6.7 7.1-7.4 Interleaf 3	R Appendix to Lecture R code for the Apendix gbinom.R
Sept. 23-28	Probability	[1] [2] [4]	5.1-5.10
Sept. 28-30	Contingency Tables	[1] [2] [4]	9.1-9.7	Minor correction made October 12, on slide 44.
October 4-6	Normal distribution t distribution central limit theorem	[1] [2] [4]	10.1-10.6, 11.1
October 12-14	Inference for a Single Population Mean Graphs Confidence Intervals using t-distribution Bootstrap confidence intervals The one-sample t-test	[1] [2] [4]	2.1-2.2, 11.1-11.2, 19.3	Notes include hypothesis testing; Some typos were corrected on slides 27 and 33;
October 21-28	Inference for a Two Population Means Graphs Randomization Tests	[1] [2] [4]	19.2	Several spelling errors corrected. Slides 36 and 39 have major corrections (posted October 28)
November 2-4	Power and Sample Size	[1] [2] [4]	14.7
November 4	Assumptions and Transformations	[1] [2] [4]	13.1-13.3, 13.8-13.9
November 9	Elements of Experimental Design	[1] [2] [4]	14.1-14.9
November 11-18, 30	ANOVA	[1] [2] [4]	19.1, 15.1-15.8	New slides begin with slide 68.
November 23	Midterm Exam 2
November 25	Eat Turkey
December 2	Correlation	[1] [2] [4]	16.1-16.4
December 7-14	Regression	[1] [2] [4]	Interleaf 4, 17.1-17.10	Notes updated on December 9.

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Discussion Notes

Date	Handouts
Week of September 6	r.pdf lab1.pdf cows.txt plantation.txt
Week of September 13	disc1.pdf
Week of September 20	disc02.pdf
Week of September 27	disc04.pdf
Week of October 4	disc5.pdf
Week of October 11	disc6.pdf
Week of October 25	disc07.pdf
Week of November 1	disc08.pdf
Week of November 8	disc09.pdf
Week of November 15	disc10.pdf
Week of November 29	disc11.pdf
Week of December 6	disc12-2.pdf
Week of December 13	disc13.pdf

Homework Assignments

Assignment	Date Given	Date Due	Extras	Solutions
Assignment #1	September 2	September 10
Assignment #2	September 10	September 17
Assignment #3	September 17	September 24
Assignment #4	September 24	October 1	gbinom.R
Assignment #5	October 1	October 8	mosaic.R
Assignment #6	October 8	October 15
Assignment #7	October 22	October 29	R Handout lizards.txt
Assignment #8	October 30	November 5	My recommendation is to put R code for solving each problem into a file which you can then source() into an R session. See the example for problem 9b using these files. cichlids.txt cichlids.R
Assignment #9	November 5	November 12	power.R
Assignment #10	November 12	November 19
Assignment #11	November 24	December 3	daphnia.csv lodgepole.csv
Assignment #12	December 6	December 14	beetle.txt

Office Hours

Exam Solutions

Exam	Solutions
Midterm 1	Solution
Midterm 2	Solution

R Handouts