Scatterplot of Centered Easeofuse and intent
We use scatterplots to evaluate the assumption of linearity between independent variable and
dependent variable. The above plot is the scatterplot of Easeofuse and Intent. The green line is
linear fitted line a

Statistical Methods I (EXST 7005)
Page 30
Coding and Transformations
Objective – Hypothesis testing Background
Many applications in statistics require modifying an existing distribution to an alternative form
of the distribution. Hypothesis testing, in pa

EXST 7005 Lab 00
1
EXST 7005, Lab 00: Introduction to Basic SAS Operations
Week 1 (January 23-27)
Overview of SAS
SAS is software used for statistical analysis.
In SAS there are three main windows: Program Editor, Log, and Output.
Program Editor: where yo

Your Name Here
EXST 7005 Section #
Date
EXST 7005, Lab 01: Introduction to the SAS Data Step, and Basic Procs and Options
Week 2: January 30 February 3
DUE: Beginning of lab next week.
The Program
The program which will be utilized in this lab, which each

EXST 7005 Lab 02
Spring 2012
EXST 7005, Lab 02: Introduction to SAS Libraries, SAS Proc MEANS and Proc CHART
Week 3: Febrary 6-10
The Program
Insert optional statements
LIBNAME MyData 'C:\Documents and Settings\lsuusername\My Documents\';
Create data set

EXST 7005 Lab 03
Spring 2012
EXST 7005, Lab 03: More SAS
Week 4: February 13-17
Creating A Data File
With extremely large data sets it is often easier to enter the data from an external
file than directly in the SAS program.
You can use most spreadsheet a

EXST 7005 Lab 04
Spring 2012
EXST 7005, Lab 04: Working with External Data Files in SAS
Week 5: February 27-March 2
DUE: beginning of next lab class
The Program
The program which will be utilized in this lab, which each student will individually write,
re

EXST 7005 Lab 05
Spring 2012
EXST 7005, Lab 5: Data Transformations and Hypothesis Testing in SAS
Week of: March 5-9
DUE: beginning of next lab
The Program
The program which will be utilized in this lab, which each student will individually write, refer
t

EXST 7005 Lab 06
Spring 2012
Name
EXST 7006, Lab 06: More on Hypothesis Testing
Week of: March 19 March 23
One Sample T-Tests
In this lab we will conduct the one sample t-test in Lab 05 by hand. Please hand-write
your answers and turn in this packet. You

EXST 7005 Lab 09
Spring 2012
EXST 7005, Lab 09: A Review of One-Way ANOVA
Week of: April 16th April 21st
When you want to compare the means of more than two populations, the two sample t-test is no
longer an efficient procedure. While you could do multipl

EXST 7005 Lab 10
Spring 2012
EXST 7005, Lab 10: Simple Linear Regression
Week of: April 23 -27
In the previous labs, our objective was to sample from one or more populations and to compare
certain parameters either with each other or with a specified valu

EXST 7005
Spring 2012
EXST 7005 Statistical Inference I
Lab Syllabus
Department of Experimental Statistics
School of Agriculture, Louisiana State University
Spring 2012
Course Description (EXST 7005):
EXST 7005 Statistical Techniques I (4) F,S 3 hrs. lect

Statistical Methods I (EXST 7005)
Page 22
Measures of dispersion
Our first major objective is to develop the concepts needed to understand hypothesis testing. We will
primarily test hypotheses about means, but variances can also be tested. Testing means w

EXST7005
Geaghan
SAS Programming
Basic instructions
Page 1
SAS Statements: All SAS statements end with a semicolon, ";". A statement may occur on one line,
or run across several lines. Several statements can also be placed on the same line, as long as eac

EXST 7005
Fall 2010
Lab #1: Introduction to Basic SAS Operations
TA: Suping Zhang
Email: [email protected]
Office: Room 71A, Ag Admin Building
LAB POLICY
Each lab report is worth 10 points. Usually, lab reports are due at the
beginning of the next la

EXST 7005
Fall 2010
Lab #2: Data Input, Combination, and Output Delivery
Data Input
Besides typing data into SAS directly, there are other data entry methods. Today we will
learn two important methods to read data into SAS from outer sources: 1) using INF

EXST 7005
Fall 2010
Lab #4: One-Sample T-test
One-sample T-test
A one-sample t-test can be used to test whether the mean of a normally distributed population
has a value specified in a null hypothesis.SAS will compute the sample mean and compare it
with t

EXST 7005
Fall 2010
Lab #5: Alternative Methods to Test Hypotheses
Besides PROC TTEST, there are other methods available for testing hypotheses about a single
sample mean, for example, we can calculate t-value by hand and then find the corresponding pvalu

EXST 7005
Fall 2010
Lab #6: Chi-Squared Test of Independence
Chi-Squared Tests of Independence
In the previous labs, we mainly talked about how to get statistics for numerical data. Today
we are going to learn how to deal with categorical data. Among the

EXST 7005
Fall 2010
Lab #7: Independent Two-Sample T-Test
Different from a one-sample t-test which compares the mean of a sample with a certain number,
a two-sample t-test is comparing the means of two samples which are randomly drawn from two
populations

EXST 7005
Fall 2010
Lab #8: Single Factor CRD & One-way ANOVA
Single Factor CRD
In a single factor Completely Randomized Design (CRD), there is only one treatment factor and
the levels of the factor are randomly assigned to the experimental units. Each ex

EXST 7005
Fall 2010
Lab #9: Post ANOVA Tests
Post-hoc Tests
A simple ANOVA program containing only class and model statements will return the ANOVA
table with source, degrees of freedom, Type I and III sums of squares, mean square errors, Fvalues for indi

EXST 7005
Fall 2010
Lab #10: Factorial Experiment Design
A factorial experiment is one in which responses are observed for every combination of factor levels. It
allows looking at not only the effect of each main factor but also the effects of interaction

EXST 7005
Fall 2010
Lab #11: Randomized Complete Block Design
& Simple Linear Regression
Randomized Complete Block Design
A Randomized Complete Block Design (RCBD) is a restricted randomization design in which the
experimental units are first sorted into

Syllabus: EXST7005 - Statistical Techniques I
Spring 2012
Instructor: Dr. Bin Li
Office: 173 Woodin Hall
Email: [email protected]
Office Hours: Mon 9:30-10:30AM (or by appointment)
Phone: (225) 578-1343
Lecture: Monday and Wednesday from 10:40AM-12:00PM in 104

EXPERIMENTAL STATISTICS 7005
November 18, 2010
EXAM 3
NAME _
All sections : Geaghan
Read Carefully. Give an answer in the form of a number or numeric expression where possible. Use a
value of 0.05 for if not specified. t-tables are NOT provided, it you ne

1.a: [15pt] H0 : pm pc = 0 vs. Ha : pm pc < 0. P =
Z=
(13/65) (57/65)
0.546(1 0.546)(2/65)
13+57
65+65
=
= 0.546
0.677
= 7.78
0.087
p-value is less than 0.0001 and the results is highly signicant.
1.b: [15pt] First check the equal variance by F-test: F =