Lab8 Answers (Correlation & Regression)
March 17, 2009
Question 1: The file Lab8Q1.sav contains data from measurements you made of the armspan, height, foot length and gender of individuals in the class. Using pairs of variables in the sample data (only t
BIOL 361 Assignment 3 Marking Scheme (2009) TOTAL out of 85 marks Introduction [8 marks] - Identify the topic of the study (if sewage from the City of Waterloo has detrimental effects on ecological health of the river. There are >20,000 students attending
Reminder
Midterm exam is tonight
Tuesday Feb. 15th at ~8:15 pm
In DC 1350
i.e., right after the first hour of lecture in
our regular room (B1-370)
Bring your student ID to the exam!
LECTURE 14: ANALYSIS OF VARIANCE III
(Two-way ANOVA)
Sources of Informati
Lecture 21: Power Analysis
Power refers to the ability to avoid type-2 errors.
Sources of Information: Sokal & Rohlf p. 159-169 Motulsky Chapter 22 * Peterman, R.M. 1990. Statistical power analysis can improve fisheries research and management. Canadian J
BIOL 361 ASSIGNMENT 4 (Categorical Data Analysis)
March 10, 2009
This assignment is due before class on Tuesday March 24. It is worth 15% of your final mark. Preamble: You are an entomologist interested to know if various insect pollinators show a prefere
BIOL361 - LAB 2 (C.I.s and Ho Testing) January 18, 2011
PART A: Start the lab session by collecting data on the reaction times of writing hands vs. non-writing hands
of all members of the BIOL 361 class. We will analyze these data in a subsequent lab sess
Lecture 20: Multiple Linear Regression
Simple linear regression: determines the best least squares
equation to predict 1 Y-variable from a single predictor variable, X.
Multiple linear regression: finds the best least squares equation to
predict 1 Y-varia
Are You Interested in Taking a Biology Field
Course For Credit? (Biology 490A or 490B)
Waterloo Students may choose from ~32
biology field courses offered in 2016
For additional information, please visit the field course
webpage:
https:/uwaterloo.ca/biolo
Lecture 21: Power Analysis
Power refers to the ability to avoid type-2 errors.
Sources of Information:
Sokal & Rohlf p. 159-169
Motulsky Chapter 22
* Peterman, R.M. 1990. Statistical power analysis can improve
fisheries research and management. Canadian J
Lecture 19: Regression Analysis II
Confidence Intervals, Prediction Intervals
& Testing Assumptions
Sources of Information
Motulsky: Chapter 18, 19
Triola et al.: Chapter 9
Sokal & Rohlf: Chapter 14
Predicting values of the dependent variable
We can use a
Lecture 23:
Course Overview
Outline:
Review available tests
Big-picture advice
Info about Final Exam
Sources of Information:
Motulsky: Chapters 37 & 38 (Overview)
Overview of Available Statistical Tests: which test
to use?
1. What kind of data have you
BIOL 361 LAB 1 (Descriptive Statistics) January 18, 2011
1. The instructor will divide students into several groups of ~10-15 people/group and provide each group
with a tape measure. In this lab, you will help to record the gender (male or female), body h
LECTURE 12: ANALYSIS OF VARIANCE I
H1: 1 2
2-samples:
Ho: 1 = 2
ANOVA:
Ho: 1 = 2 = 3 = = k
H1: mean of at least 1 population is different
ANOVA sample variances are used to measure
differences between means
Sources of Information:
Dytham: Chapter 7, p. 95
Interested in taking BIOL 499 beginning F16?
Information meeting: Wed Feb 3rd at 5:30 pm, in B2 350
course requirements (see uWaterloo calendar, Dept Biology web page
for more info):
BIOL 499 (Senior Honours Project) is taken in your 4th year (a two-term
Lecture 1
They allow you to extrapolate your data to a more general case - Statisticians say that you
extrapolate from a sample (of data) to a (statistical) population.
The distinction between sample and population is key to understanding much of statisti
Lecture 9:
Assessing the Assumption of Normality
Sources of Information:
SPSS Help Topics: P-P Plots, Q-Q Plots
Sokal & Rohlf Chapter 6 (sections 6.6 and 6.7)
Dytham Chapter 5 (p. 37-41); Chapter 7 (p. 61-72)
Recall: The Normal Distribution
(= Gaussian di
Lecture 6:
Confidence Intervals
Now, we are ready to learn methods for answering 2
fundamental questions that all biologists must
repeatedly answer in their research:
1. How reliable are the results (i.e., a summary statistic
based on a sample of data tha
Lecture 7: Hypothesis Testing
Outline:
learn some background theory to hypothesis testing
how to formulate null and alternate hypotheses
how to perform a 1-sample test and interpret & report
the results
Sources of Information:
Motulsky Chapter 10-12
Tr
LECTURE 3:
INTRODUCTION TO
HYPOTHESIS TESTING
&
EXPERIMENTAL DESIGN
HYPOTHESIS TESTING
All scientific studies involve the collection of data to test
hypotheses.
A hypothesis is a statement of causation that can be
tested, and then it is either rejected o
WELCOME to BIOL 361
Biostatistics &
Experimental Design
INTRODUCTION TO BIOLOGY 361
Biology 361 is a practical course in statistics & experimental
design for students of the biological sciences.
Course Objectives:
Provide you with a set of tools and tech
Name: _
Student ID: _
BIOL 361MIDTERM EXAM
Feb. 24, 2015
Page 1 of 7
INSTRUCTIONS: This exam has 4 questions over 7 pages worth a total of 70 marks. The exam is worth
10% of your final course grade. Carefully read each question and answer all questions in
Lecture 15: Categorical Data Analysis I
(Introduction & 1-way GOF Tests)
Sources of Information
Triola: Chapter 10
Motulsky: Chapters 26-29
Sokal & Rohlf: Chapter 17
Dytham: p. 60-64, 147-154
OUTLINE:
1. Intro to categorical data
2. Concept of goodness-of
Lecture 18: Regression Analysis I
Regression What is the relationship between two (or more)
variables? How well do the data fit a mathematical relationship?
( modeling & prediction)
Outline:
Sources of Information
Dytham: Chapter 8 p. 162-170.
Introducti
WELCOME to BIOL 361
Biostatistics &
Experimental Design
Please pick up a course outline from the
front of the room
INTRODUCTION TO BIOLOGY 361
Biology 361 is a practical course in statistics & experimental
design for students of the biological sciences.
C