BIOL 361 LAB 1 (Intro to SPSS & Data Collection)
LAB 101 Tuesday January 10, 2017
LAB 102 Thursday January 12, 2017
In this lab, you will make measurements and compile the data into SPSS files. We will use these data in future
labs to learn and practice s
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
LECTURE 2:
DATA IN BIOLOGY
Outline:
Define terms for understanding biological data
Overview of important principles for collecting data for
biological studies.
Sources of Information
Dytham:
Chapters 1, 2 & 5
Sokal & Rohlf:
Chapter 2 & 3
Krebs:
Chapter
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 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
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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 12: ANALYSIS OF VARIANCE I
2-samples:
Ho: 1 = 2
H1: 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. 95-11
Reminder
Midterm exam is tonight
Tuesday Feb. 24th at ~8:30 pm
In STP 105
i.e., right after the first hour of lecture in
our regular room (B1-370)
Bring your student ID to the exam!
BIOL 361 Final Exam
Date: Tuesday April 21, 2015
Time: 7:30 - 10:00 PM
Lo
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
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 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
BIOL361 - LAB 3 (C.I.s and Ho Testing)
Lab 101: January 24, 2017
Lab 102: January 26, 2017
PART A [35 minutes]: Use the data you collected in Lab 1 on students height and
armspan in the course. These data are in the file Height_Armspan_2017.xls (Excel dat
BIOL 361 - ASSIGNMENT 1 (Exploratory Data Analysis) January 17, 2017
Use the data in file Assignment1.xls (Excel), placed in the Content of the course webpage (LEARN), in
the Assignments folder. Load the data in this file into SPSS or your preferred Stats
BIOL 361 LAB 1 (Intro to SPSS & Data Collection)
LAB 101 Tuesday January 10, 2017; LAB 102 Thursday January 12, 2017
In this lab, you will make measurements and compile the data into SPSS files. We will use these data in future
labs to learn and practice
BIOL 361 - LAB 3 (C.I.s and Ho Testing)
January 19, 2016
Lab 101: January 24, 2017
Lab 102: January 26, 2017
PART A [35 minutes]: Use the data you collected in Lab 1 on students height and
armspan in the course. These data are in the file Height_Armspan_2
BIOL 361 - ASSIGNMENT 2 (Comparing two Samples) January 31, 2017
Use the data in file Assignment2.xls (Excel), placed on the course LEARN site. Load the data in this file
into SPSS or your preferred stats software.
The file contains data from a study to a
BIOL 361 LAB 2 (Descriptive Statistics) January 17 & 19, 2017
In this lab, youll start to learn to use descriptive statistics by applying it to the data you collected in Lab 1.
Part A: Well start by describing the data recorded on the gender, height and a
Course Outline: BIOL 361 (Biostatistics & Experimental Design) Winter 2017
Introduction
Biology 361 is a practical course in statistics and experimental design for students of the biological sciences.
The objectives of the course are to:
Provide you with
BIOL 361 LAB 2 (Descriptive Statistics) January 17 & 19, 2017
In this lab, youll start to learn to use descriptive statistics by applying it to the data you collected in Lab 1.
Part A: Well start by describing the data recorded on the gender, height and a
Lecture1 Intro to BIOL 361 & statistics
Statistical reasoning uses 3 general approaches:
1.StatisticalEstimation
The simplest example is calculating the mean (= average) of a
sample.
Statistical calculations combine these (sample mean, sample size,
scatte
February 3, 2015
BIOL 361 Lab 4 (Experimental Design & Random Sampling)
1. In a study of the effectiveness of acupuncture in curing headaches, you need to randomly
assign a group of 40 patients to two groups of 20. One group is given acupuncture and the
o
Feb 10, 2015
BIOL 361 Lab 5 (One-Way ANOVA)
1. Plants produce an enzyme called phosphatase to bind phosphorus molecules and convert
them from an unavailable form to an available form. Dr. Barb Moffatt is interested to assess
whether pH level affects the a