BIOL 3090

Biometry

 

Last Updated April 6, 2020

Please report any problems here:

khyrenbach (at) hpu (dot) edu

 
Syllabus

(Last Updated: March 17)

   
     
     

 

Dr. David Hyrenbach

 

Offices:

AC 249, HLC

EMSB, Oceanic Institute

Phone:

(808) 236-3563

 

Office Hours:

HLC:

Weds; 9:00- 12:00

 

Oceanic Institute: :

Tu & Th; by appointment

 

 

 

We will use one text and a free online resource:

Required:

Getting Started with R:

An Introduction for Biologists  (2nd Edition)

by Andrew P. Beckerman, 
Dylan Z. Childs, 
Owen L. Petchey


ISBN-13: 978-0198787846
ISBN-10: 978019878784

Required:

OpenIntro Statistics

(4th Edition)

This book may be downloaded

as a free PDF

(Available here)

 

 

Course Readings

The PDFs posted on this page are for class use only.

Please do not distribute.

 

 

Week 1 - Course Introduction and Foundations

Task for this Week: Review The Scientific Method

 

Lecture 1: Monday Jan. 13

 

Introduction to Statistics and the Class

 

 

Lecture 2: Wednesday Jan. 15

 

The Scientific Method & Hypothesis Testing

 

 

Text Readings:

GettingStarted with R: Ch1

OpenIntro: Ch 1.1, 1.2

Article Reading:

Platt J.R. (1964) Strong inference. Science, 146: 347-353

(61 Kb)

 
 

Week 2 - Sampling

Task for this Week: Review Probability

 

 

NO CLASS: Jan. 20

(Holiday)

 
 

Lecture 3: Wednesday Jan. 22

 

Sampling and Probability

 

Text Readings:

OpenIntr: Ch 1.3, 1.4

GettingStarted with R: Ch 1

Article Reading:

Diamond, J. (1988).
Why cats have nine lives.
Nature 332 (6165): 586–587.

(330 Kb)

 
 

Week 3 - Probability and Hypothesis Testing

Task for this Week: Review Probability

 

 

Lecture 4: Monday Jan. 27

 

Start Conditional Probability Lecture

 

Article Readings:

Tversky & Gilovich (1989).

The cold facts about the "hot hand" in basketball. Chance:

New Directions for Statistics and Computing. 2(1): 16-21.

(0.5 Mb)

 
 

Lecture 4: Wednesday Jan. 29

 

Quiz 1

 

Finish Conditional Probability Lecture

 

Extra Reading (Not Required):

Silver, N. (2012). Less and less and less wrong. Pp. 232 - 261.

In: The Signal and the Noise. Penguin Press, New York.

(5.6 Mb)

 
 

Week 4 - Estimation

Task for this Week: Review Descriptive and Summary Statistics

 

 

Lecture 5: Monday Feb. 3

 

Estimation - Central Tendency

 

Text Readings:

OpenIntro: Ch 3.1, 3.2, and 3.3

GettingStarted with R: Ch 2

 
 

Lecture 6: Wednesday Feb. 5

 

Estimation - Variability

 

Text Readings:

OpenIntro: Ch 2.1 to 2.15

Article Reading:

Silver, N. (2012). How to drown in 3 feet of water. Pp. 176 - 203.

In: The Signal and the Noise. Penguin Press, New York.

(9.2 Mb)

 
 

Week 5 - Probability and Hypothesis Testing

Task for this Week: Use Z Scores and Confidence Intervals

 

 

Lecture 7: Monday Feb. 10

 

Quiz 2

 

Z Scores

 

Text Readings:

OpenIntro Ch 4.1

 

Probability Problems

 
 

Lecture 8: Wednesday Feb. 12

 

Estimation & Statistical Modelling

 

age dataset

 

Article Reading:

Silver, N. (2012). Desperately Seeking Signal. Pp. 142 - 175.

In: The Signal and the Noise. Penguin Press, New York.

 
 

Week 6 - Probability Distributions

Task for this Week: Learn Key Probability Distributions

 

 

Lecture 9: Wednesday Feb. 19

 

Quiz 3

 

Probability Distributions

 

Article Reading:

Limpert et al. (2001)

 

Text Reading:

OpenIntro: Ch 4.2 - 4.5

 
 

Week 7 - Testing for and Deling with a Lack of Normality

Task for this Week: Learn How to Assess and Deal with Non-normal Data

 

Lecture 10: Monday Feb. 24

 

Parametric Distriutions: Exploring Assumptions

 

MusicFestival dataset

 

Text Reading:

Getting Started with R: Ch 3

 
 

Lecture 11: Wednesday Feb. 26

 

Dealing with the Lack of Normality

 

RExam dataset

 

Texy Reading:

Getting Started with R: Ch 4

 
 

Week 9 - Introduction to Modelling

Task for this Week: Quantifying the Fit of a Model

 

Lecture 12: Monday March 9

 

Quiz 4

 

Assessing Normality and Transforming Data

 
 

Lecture 13: Wednesday March 11

 

From Data Exploration to Statistical Modelling

 
 

Week 10 - Correlation and Regression

Task for this Week: Introduction to Correlation

 
Lecture 14: Monday March 16

 

 

Text Reading:

OpenIntro: Ch 8.1

 
 

 

Lecture 15: Wednesday March 18

 

Quiz 5:

We will take the quiz online through Blackboard Collaborate

 
 

Text Reading:

OpenIntro: Ch 8.2 - 8.3

 
 
Week 11

 

Review of Lectures 14 & 15: Monday March 23

 

 
 
 

 

Lecture 16: Wednesday March 25

 

Quiz 6: Correlation and Regression

We will take the quiz online through Blackboard Collaborate

Week 12
 

Lecture 17: Monday March 30

 

 
 

Lecture 18: Wednesday April 1

 

Quiz 7: Paired and Independent t tests

We will take the quiz online through Blackboard Collaborate

 
Week 13
 

Lecture 19: Monday April 6

 

 
 

 

Lecture 20: Wednesday April 8

Lecture 21: Monday April 13

 

 

Contingency Tests

 
 

Lecture 22: Wednesday April 15

 

Quiz 8: ANOVA: One-way, Multi-way, and Post-Hoc Tests

We will take the quiz online through Blackboard Collaborate

 

Nonparametric Tests

 
Week 15
 

 

Lecture 23: Monday April 20

 

 

Statistical Power

 
 

 

Lecture 24: Wednesday April 22

Class Wrap-Up

 

Quiz 9: Contingency and Nonparametric Tests

We will take the quiz online through Blackboard Collaborate

 

 
Week 15 - Finals' Week
 

 

Wednesday April 29

 

(13:00 - 15.15)

 

In-Class Final

 
 

 

Wednesday April 29

 

(13:00)

 

Submit Take-Home Final

 
 

 

 

 

Back to Teaching