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 wil
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
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:
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 (
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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 re
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 me
LECTURE 13: ANALYSIS OF VARIANCE II
Outline
post-hoc tests
testing assumptions in ANOVA
non-parametric ANOVA (Kruskal-Wallis test)
Sources of Information: (same as Lecture 12)
Dytham: Chapter 7, p.
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 Exa
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: fin
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 ca
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 causati
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.
Cours
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
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
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 wi
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
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 s
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 d
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.
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 d
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 calcu
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
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