EMA3800
Chapt 8 _ Fitting data
Data from measurements
Each data point in an experiment is a set of numbers for a system
under measure.
Data points represent either univariate or multivariate systems.
A univariate system has one independent variable and
Linear Regression Taylor Chapter 8
Now that we have some handle on data, and looking at error in measurement, lets look at data that should fit
a straight line.
Many experiments have parameters between two variables that is linear. In engineering for exam
EMA3800
Covariance and Correlation
Chapter 9 Taylor
Learning Objectives
Review error propagation
Review mean and standard deviation
Show relation of these to covariance
Show relation to correlation
Work examples of problems with covariance and correl
Randomization & Design
EMA3800
Components of an experiment
Treatments- Different procedures we want to compare
Experimental Units things to which we apply the treatments
Responses outcomes of the units to the treatments. Sometimes we
have more than one
SDOM As the number of measurements increases SDOM gets smaller.
Its related to the uncertainty. The uncertainty gets more precise with larger
sets of data because as the number of measurements increases, the mean is
more defined, and therefore the STD is
EMA 3800 Chapters 1-5 Concept Inventory.
Name:_
I have read the following chapters for this class so far (circle all that apply) none 1
2 3 4 5
Show work for all problems.
1. A student measures the length of metal sample using a mm scale ruler. She states
REQUIREMENTS FOR DOE PROJECT AND INTERIM REPORTS
To clarify the requirement for the project and interim reports, please use the Table and the guide line sheet given in the first and second lectures. Report #1 should contain the first three steps listed in
EMA 3800_ 6808 Dr. Rajiv Singh HW# 2 2-5 The shelf life of a carbonated beverage is of interest. Ten bottles are randomly selected and tested, and the following results are obtained: Days 108 138 124 163 124 159 106 134 115 139 (a) We would like to demons
The Blocking Principle Text Reference, Chapter 4 Blocking and nuisance factors The randomized complete block design or the RCBD Extension of the ANOVA to the RCBD Other blocking scenarios.Latin square designs
The Blocking Principle
Blocking is a techniqu
Student's t In practice, we usually do not know 2 Estimate 2 by computing s2 Thus, we must use a different distribution known as Student's t instead of Z distribution There is a family of t distributions. The t distributions have one parameter v, the numb
Software Use
All faculty, staff and student of the University are required and expected to obey the laws and legal agreements governing software use. Failure to do so can lead to monetary damages and/or criminal penalties for the individual violator. Beca
What If There Are More Than Two Factor Levels?
There are lots of practical situations where there are either more than two levels of interest, or there are several factors of simultaneous interest The t-test does not directly apply The analysis of varian
Project Report #1
Experiment: Baking the Perfect Cupcake
Objective: The objective of this experiment is to determine which factors or combination of factors result in the best cupcakes. Specifically, the effect of the bake pan material, baking time, tempe
IMPACT OF COMPOSITION ON BOUNCING POLYMER BALLS
by
A Term Project For EMA 6808, Error Analysis, Organization, and Statistical Experimental Design in Materials Research
Department of Materials Science and Engineering University of Florida Dr. Singh August
HOMEWORK 1 Answer
EMA - 3800/6808, Spring 2011
1. Create a back-to-back stemplot.
Distribution A is skewed to the left (the low numbers) and distribution B is skewed to the right (the high numbers). Distribution B has the smallest value (20) of both distr
Error Analysis, Optimization, and Statistical Experimental Design in Materials Research (EMA 3800 & 6808)
Rajiv K. Singh Department of Materials Science and Engineering University of Florida Gainesville, Fl. 32611
[email protected] ph. 352-392-1032 Offic
EMA3800 Error Analysis
Student In-Class worksheet 1
Name:_
Group members
names:_
_
_
_
_
In this activity, you will experience the main ideas of Chapters 1 -3 through hands on learning. You will be
asked to write, discuss and summarize your learnings for
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