STA 2216
Data Analysis for Science
Lecture 9:
Analysis of Variance (ANOVA):
Factorial Treatment Design
(Chapter 14 of Ott and Longnecker (6th Ed)
1
Recap of Lecture 8
Completely Randomized Design with Single
Factor
Assumptions
Advantages versus disadva

Invertebrate animal lacking a backbone
Acoelomate invertebrate which doesnt have a coelom (especially one belonging to a group comprising
of flatworms and nemerteans, characterised by bilateral symmetry and a digestive cavity that is the only
internal cav

Compound microscope
Eyepiece magnifies by 10, and objective magnifies more e.g. 4X objective and 10x eyepiece = 40x
Magnify objects 40 to 1000 times life size, allowing observation of cell & tissue details not visible to naked
eye
High power objectives (4

STA 2216
Data Analysis for Science
Lecture 3:
Comparing One Sample
(Chapter 5 of Ott and Longnecker (6th Ed)
1
Recap of Lecture 2
Observational study
Basic types of observational studies
Sampling designs
2
Outline of Lecture 3
Introduction
Confidence I

STA 2216
Data Analysis for Science
Lecture 1:
Introduction &
Background Review
1
Outline of Lecture 1
What is statistics?
Scientific Method Schematic
Validity of results
Why study statistics?
Applications of statistics
2
What is Statistics?
Science of de

STA 2216
Data Analysis for Science
Lecture 4:
Comparing two independent samples
(Chapter 6 of Ott and Longnecker (6th Ed)
1
Recap of Lecture 3
Introduction
Confidence Interval for for known
Statistical Test for for known
Type I and Type II errors
Confid

STA 2216
Data Analysis for Science
Lecture 6:
Designs for Experimental Studies
(Chapters 2.4 and 2.5 of Ott and Longnecker (6th Ed)
1
Recap of Lecture 5
Sample Size for Testing
Sample Size Estimation for Independent
Samples 1-2
Sample Size Estimation

STA 2216
Data Analysis for Science
Lecture 7:
Designs for Experimental Studies (Cont.)
(Chapters 2.4 and 2.5 of Ott and Longnecker (6th Ed)
1
2
3
The M&Ms website no longer posts the proportions of colors
found in bags of M&Ms.
Our color blends were selec

STA 2216
Data Analysis for Science
Lecture 8:
Analysis of Variance (ANOVA):
Completely Randomized Design with
Single Factor
(Chapter 14 of Ott and Longnecker (6th Ed)
1
Recap of Lecture 6
Terminologies
Experimental designs
Completely randomized design

STA 2216
Data Analysis for Science
Lecture 5:
Sample Size Estimation
(Chapters 5.5 & 6.6 of Ott and Longnecker (6th Ed)
1
Recap of Lecture 4
Confidence Interval for 1-2: Independent
Samples
Statistical Test for 1-2: Independent Samples
Confidence Inter

STA 2216
Data Analysis for Science
Lecture 2:
Observational Studies &
Sampling Designs
1
Recap of Lecture 1
What is statistics?
Scientific Method Schematic
Validity of results
Why study statistics?
Applications of statistics
2
Outline of Lecture 2
Observ

Name : Melissa Brie Spillett bt Adam Mohammed
Student ID: 28541472
1. Biurets reagent was used in this experiment in order to measure the presence and
concentration of peptide bonds in a specific protein by means of spectrometry. This
can be observed thro