Intermediate SAS: Statistics
|
|
- Conrad Harrell
- 6 years ago
- Views:
Transcription
1 Intermediate SAS: Statistics OIT TSS oit.wvu.edu/training/classmat/sas/ Table of Contents Procedures... 2 Two-sample t-test:... 2 Paired differences t-test:... 2 Chi Square Test... 3 Correlations and Reliability... 3 Regression... 4 ANOVA: Simple 1-way, unbalanced data... 4 Using SAS from menus (SAS/Insight)... 5 Data Windows... 5 Opening a Data Window... 5 Variables... 6 Autofill with numbers... 8 Observations... 9 Shortcut Menu Items Edit Menu Analyze menu Histograms/Bar Charts Distribution Analyses Regression Multivariate Analyses Plots Query Analyst Copyright 2003 West Virginia University
2 Procedures Two-sample t-test: For 2 independent samples... PROC TTEST data=people; CLASS gender; VAR age wt paid score; TITLE '2 Sample T-Test'; PROC TTEST data=computer; where manufacturer='dell' manufacturer = 'APPLE'; class manufacturer; var age cost x y; T-Test Output Variable Method Variances DF t Value Pr > t cost Pooled Equal cost Satterthwaite Unequal x Pooled Equal x Satterthwaite Unequal Equality of Variances Variable Method Num DF Den DF F Value Pr > F cost Folded F <.0001 x Folded F Paired differences t-test: 1. Create a new difference variable in the data step (e.g. DIFF=POST-PRE;). Insert DIFF=z-y; in data step. 2. Use PROC MEANS with the T & PRT option to see if the difference is significantly different from zero. PROC MEANS MEAN N STD T PRT data=people; VAR DIFF; TITLE 'Paired Differences T-Test'; Analysis Variable : DIFF Mean t Value Pr > t SAS Statistics
3 Chi Square Test Use Proc Freq to obtain a Chi Square Test of Homogeneity: PROC FREQ; TABLES trt*grp / NOROW CHISQ; trt TRFrequency grp Percent Col Pct 1 2 Total ˆ ˆ ˆ Total STATISTICS FOR TABLE OF TRT BY GRP Statistic DF Value Prob Chi-Square Correlations and Reliability For Pearson's correlation coefficients and Cronbach's Alpha: PROC CORR alpha nomiss nosimple data=people; VAR x y age score paid wt; Cronbach Coefficient Alpha Variables Alpha Raw Standardized x y age score paid wt x < < SAS Statistics 3
4 Regression PROC REG data=people; MODEL y=z; TITLE 'Simple Linear Regression'; Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > t Intercept z ANOVA: Simple 1-way, unbalanced data PROC GLM data=computer; where building ne 'Brooks' and building ne 'GCS' and building ne 'Wise'; CLASS building; MODEL cost age = building; MEANS building / DUNCAN; TITLE 'Simple ANOVA with Duncan Post-Hoc test'; Source DF Type III SS Mean Square F Value Pr > F Building <.0001 Duncan Grouping Mean N Building A Colson A B A Lair B B EvLib B B WP C Braxton C C Emoore 4 SAS Statistics
5 Using SAS from menus (SAS/Insight) Data Windows A data window displays a SAS data set as a table, with columns of the table containing variables and rows containing observations. In a data window, you can sort, search, edit, and extract subsets of your data. You can also assign measurement levels and default roles that determine how your variables are used in graphs and analyses. Opening a Data Window You can open data windows in several ways. Technique One: Solutions > Analysis > Interactive Data Analysis This dialog displays two lists: Library and Data Set. A library is a location where data sets are stored. The Library list always contains the standard libraries WORK, MAPS, SASHELP, and SASUSER. You can define other libraries using the LIBNAME statement. By default, SASUSER is selected in the Library list. To see the data sets in any other library, click on the library's name. This causes the Data Set list to display all data sets in that library. By default, the first data set in the Data Set list is selected. To select another data set, click on its name. Then click on OK to display the data window. The Options button on the dialog enables you to enter WHERE clauses and other SAS data set options. SAS Statistics 5
6 You can open any number of data windows on different data sets, but you can open only one data window on each data set. Variables The column headings in a data window give information on each variable, including the name, label, default roles, and measurement level. The number of variables appears in the upper left corner of the data window. A variable's default role assigns the role a variable plays by default in graphs and analyses. Click in the upper left portion of the variable header to display a pop-up menu of variable roles. Variable Roles Pop-up Menu You can assign four default roles: Group: enables you to process your data by groups. You can use multiple group variables to process your data by groups for each unique combination of values of the group variables. Label:labels observations in scatter plots, rotating plots, and box plots. Frequency:represents the frequency of occurrence for other values in each observation. Weight: supplies weights for each observation. You can assign Freq, Weight, and Label roles to only one variable at a time. You can assign the Group role to more than one variable. The order in which you assign the group role determines the order in which the variables are used to define groups. 6 SAS Statistics
7 A variable's measurement level determines the way it is treated in graphs and analyses. Measurement Levels Pop-up Menu You can assign two measurement levels: Interval: contains values that vary across a continuous range. For example, a variable measuring temperature would likely be an interval variable. Numeric variables default to the interval measurement level but can be changed to nominal. Nominal: contains a discrete set of values. For example, a variable indicating gender would be a nominal variable. Character variables can use only the nominal measurement level. Up to 250 variable measurement levels can be stored with a data set. Default roles and measurement levels are displayed in the column headings above the variable names. The default role appears at the upper left of the column heading and the measurement level appears at the upper right. If a variable has more than one default role, then only the first character of each role appears. You can use the data pop-up menu to create new variables or to change the default role or measurement level of existing variables. You can use the Edit > Variables menu to create new variables that are transformations of existing variables. SAS Statistics 7
8 Autofill with numbers 1. Right click on data or click on the triangle in the upper right corner. 2. Select New Variables from the shortcut menu 3. A new column named A will be added to the rightmost position 4. To change its name, click on the A 5. Bring up the shortcut menu again and select Define Variables 6. Give the variable a better name and click on OK 7. Bring up the shortcut menu one more time and select Fill Values. 8. Supply an initial value and an increment 9. When you click on OK, that column will be filled with sequential numbers. Shortcut menu 8 SAS Statistics
9 Observations The row headings in a data window give information on each observation, including the observation states and observation number. The total number of observations appears in the upper left corner of the data window. SAS/INSIGHT software supports the following observation states: Marker: shows the shape of the marker used in scatter plots, rotating plots, and box plots. Color: shows the color of the observation. o An observation's marker and color appear at the left side of the row heading Label/UnLabel: tells whether a label is displayed by default. o An observation's Label/UnLabel state is shown by a picture of a label around the observation number if the observation's label is displayed by default. Show/Hide: tells whether an observation is displayed in graphs. o An observation's Show/Hide state is shown by whether or not a marker is displayed in the row heading. Include/Exclude: tells whether an observation is included in calculations for curves and analysis tables. o An observation's Include/Exclude state is shown by the way the observation number is displayed. The observation number is grayed-out for observations that are excluded from calculations. Select: tells whether an observation is selected. o An observation's select state is shown by whether the row heading is highlighted or not. You can use the Edit > Observations menu to set all of these observation states. This menu also enables you to find observations meeting a specific search criterion or to examine observations in detail. You can also use the observation pop-up menu to set observation states. To see this menu for a particular observation, click on the observation's marker. Observation Pop-up Menu SAS Statistics 9
10 Shortcut Menu Items You can sort the data or search it to select observation(s) that meet a criteria. You can select Data Options that control how your environment will work. You can right click on an observation and choose Examine to see its values in a different format. 10 SAS Statistics
11 Edit Menu SAS Statistics 11
12 Analyze menu Histograms/Bar Charts Bar charts are pictorial representations of the distribution of values of a variable. You can use bar charts to show distributions of interval or nominal variables. Bar charts of interval variables are also called histograms. You can label the heights of the bars in a bar chart, control the orientation, and control the information shown on the axes. For bar charts of interval variables, you can also control the width and offset of the bars. Choose: a numeric variable Analyze > Histogram choose a character or nominal variable Analyze > Histogram For nominal variables, bars are distinguished by different colors. For interval variables, all bars have the same color. If you click on a bar, you will see its value appear at the top and those rows will be selected in the data window. 12 SAS Statistics
13 Histograms continued If you do not select a variable first, you will get a dialog box. Click on the variable name then the appropriate button to assign the variable to that role. Click on the Output button to modify the appearance of the histogram. SAS Statistics 13
14 Distribution Analyses Click on: continuous numeric variable Analyze > Distribution character or nominal variable. Analyze > Distribution Click on the little triangle at the bottom left corner of each picture to choose to choose whether to display values and reference lines. If you do not select the variable first, you will get a dialog box similar to the one for creating histograms. The Methods and Output buttons allow you to select additional options. 14 SAS Statistics
15 Regression Click on the Y variable. Hold down the Ctrl key and click on the X variable. Or just select the menu item and complete the dialog box. Analyze > Fit SAS Statistics 15
16 Multivariate Analyses Select multiple variables by Ctrl clicking them or use the dialog box. Analyze > Multivariate. If you use the dialog, you can choose different Methods and Output options. Plots Select a Y followed by an X variable. Analyze > Line Plot Analyze > Scatter Plot 16 SAS Statistics
17 Plots continued Select a numeric variable Analyze > Box Plot Select Z, Y, and X variables in that order Analyze > Rotating Plot Edit> Windows > Tools If you select the hand tool, you can click in the plot area to rotate the graph in 3D. Select Z, Y, and X variables in that order Analyze > Contour Plot SAS Statistics 17
18 Query Right click on saved system file in library and select Query. Or Tools> Query and select a dataset and table from the dialog box. Then select columns for your query. You can change their labels and formats using the buttons in the center. Summary Functions: Sample Output Building Number AVG(age) ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ 1WP Braxton Brooks Colson Emoore EvLib GCS Lair Wise SAS Statistics
19 Analyst Solutions > Analysis > Analyst Open a SAS data set then use the menu to select analyses. Menu Example: Statistics > Regression > Linear SAS Statistics 19
Stat 302 Statistical Software and Its Applications SAS: Data I/O
Stat 302 Statistical Software and Its Applications SAS: Data I/O Yen-Chi Chen Department of Statistics, University of Washington Autumn 2016 1 / 33 Getting Data Files Get the following data sets from the
More informationIntroduction to Statistical Analyses in SAS
Introduction to Statistical Analyses in SAS Programming Workshop Presented by the Applied Statistics Lab Sarah Janse April 5, 2017 1 Introduction Today we will go over some basic statistical analyses in
More informationStat 302 Statistical Software and Its Applications SAS: Data I/O & Descriptive Statistics
Stat 302 Statistical Software and Its Applications SAS: Data I/O & Descriptive Statistics Fritz Scholz Department of Statistics, University of Washington Winter Quarter 2015 February 19, 2015 2 Getting
More informationCH5: CORR & SIMPLE LINEAR REFRESSION =======================================
STAT 430 SAS Examples SAS5 ===================== ssh xyz@glue.umd.edu, tap sas913 (old sas82), sas https://www.statlab.umd.edu/sasdoc/sashtml/onldoc.htm CH5: CORR & SIMPLE LINEAR REFRESSION =======================================
More informationAn introduction to SPSS
An introduction to SPSS To open the SPSS software using U of Iowa Virtual Desktop... Go to https://virtualdesktop.uiowa.edu and choose SPSS 24. Contents NOTE: Save data files in a drive that is accessible
More informationLab #9: ANOVA and TUKEY tests
Lab #9: ANOVA and TUKEY tests Objectives: 1. Column manipulation in SAS 2. Analysis of variance 3. Tukey test 4. Least Significant Difference test 5. Analysis of variance with PROC GLM 6. Levene test for
More informationFactorial ANOVA. Skipping... Page 1 of 18
Factorial ANOVA The potato data: Batches of potatoes randomly assigned to to be stored at either cool or warm temperature, infected with one of three bacterial types. Then wait a set period. The dependent
More informationIntermediate SAS: Working with Data
Intermediate SAS: Working with Data OIT Technical Support Services 293-4444 oithelp@mail.wvu.edu oit.wvu.edu/training/classmat/sas/ Table of Contents Getting set up for the Intermediate SAS workshop:...
More informationThe Power and Sample Size Application
Chapter 72 The Power and Sample Size Application Contents Overview: PSS Application.................................. 6148 SAS Power and Sample Size............................... 6148 Getting Started:
More information1. Basic Steps for Data Analysis Data Editor. 2.4.To create a new SPSS file
1 SPSS Guide 2009 Content 1. Basic Steps for Data Analysis. 3 2. Data Editor. 2.4.To create a new SPSS file 3 4 3. Data Analysis/ Frequencies. 5 4. Recoding the variable into classes.. 5 5. Data Analysis/
More informationMinitab Study Card J ENNIFER L EWIS P RIESTLEY, PH.D.
Minitab Study Card J ENNIFER L EWIS P RIESTLEY, PH.D. Introduction to Minitab The interface for Minitab is very user-friendly, with a spreadsheet orientation. When you first launch Minitab, you will see
More informationCREATING THE DISTRIBUTION ANALYSIS
Chapter 12 Examining Distributions Chapter Table of Contents CREATING THE DISTRIBUTION ANALYSIS...176 BoxPlot...178 Histogram...180 Moments and Quantiles Tables...... 183 ADDING DENSITY ESTIMATES...184
More information8. MINITAB COMMANDS WEEK-BY-WEEK
8. MINITAB COMMANDS WEEK-BY-WEEK In this section of the Study Guide, we give brief information about the Minitab commands that are needed to apply the statistical methods in each week s study. They are
More informationCSC 328/428 Summer Session I 2002 Data Analysis for the Experimenter FINAL EXAM
options pagesize=53 linesize=76 pageno=1 nodate; proc format; value $stcktyp "1"="Growth" "2"="Combined" "3"="Income"; data invstmnt; input stcktyp $ perform; label stkctyp="type of Stock" perform="overall
More informationIntroductory Guide to SAS:
Introductory Guide to SAS: For UVM Statistics Students By Richard Single Contents 1 Introduction and Preliminaries 2 2 Reading in Data: The DATA Step 2 2.1 The DATA Statement............................................
More informationSTATA 13 INTRODUCTION
STATA 13 INTRODUCTION Catherine McGowan & Elaine Williamson LONDON SCHOOL OF HYGIENE & TROPICAL MEDICINE DECEMBER 2013 0 CONTENTS INTRODUCTION... 1 Versions of STATA... 1 OPENING STATA... 1 THE STATA
More informationIntroduction to SAS. I. Understanding the basics In this section, we introduce a few basic but very helpful commands.
Center for Teaching, Research and Learning Research Support Group American University, Washington, D.C. Hurst Hall 203 rsg@american.edu (202) 885-3862 Introduction to SAS Workshop Objective This workshop
More informationChapter 41 SAS/INSIGHT Statements. Chapter Table of Contents
Chapter 41 SAS/INSIGHT Statements Chapter Table of Contents DETAILS...706 PROCINSIGHTStatement...707 WINDOWStatement...708 OPENStatement...708 BYStatement...709 CLASSStatement...709 BARStatement...709
More informationT-test og variansanalyse i SAS. T-test og variansanalyse i SAS p.1/18
T-test og variansanalyse i SAS T-test og variansanalyse i SAS p.1/18 T-test og variansanalyse i SAS T-test (Etstik, tostik, parrede observationer) Variansanalyse SAS-procedurer: PROC TTEST PROC GLM T-test
More informationSAS/STAT 13.1 User s Guide. The Power and Sample Size Application
SAS/STAT 13.1 User s Guide The Power and Sample Size Application This document is an individual chapter from SAS/STAT 13.1 User s Guide. The correct bibliographic citation for the complete manual is as
More informationGetting Started with JMP at ISU
Getting Started with JMP at ISU 1 Introduction JMP (pronounced like jump ) is the new campus-wide standard statistical package for introductory statistics courses at Iowa State University. JMP is produced
More informationIntroduction to Minitab 1
Introduction to Minitab 1 We begin by first starting Minitab. You may choose to either 1. click on the Minitab icon in the corner of your screen 2. go to the lower left and hit Start, then from All Programs,
More informationSAS (Statistical Analysis Software/System)
SAS (Statistical Analysis Software/System) SAS Adv. Analytics or Predictive Modelling:- Class Room: Training Fee & Duration : 30K & 3 Months Online Training Fee & Duration : 33K & 3 Months Learning SAS:
More informationStata versions 12 & 13 Week 4 Practice Problems
Stata versions 12 & 13 Week 4 Practice Problems SOLUTIONS 1 Practice Screen Capture a Create a word document Name it using the convention lastname_lab1docx (eg bigelow_lab1docx) b Using your browser, go
More informationExcel 2010 with XLSTAT
Excel 2010 with XLSTAT J E N N I F E R LE W I S PR I E S T L E Y, PH.D. Introduction to Excel 2010 with XLSTAT The layout for Excel 2010 is slightly different from the layout for Excel 2007. However, with
More informationChapter 2 Entering Data. Chapter Table of Contents
Chapter 2 Entering Data Chapter Table of Contents INVOKING SAS/INSIGHT SOFTWARE... 28 ENTERING VALUES... 31 NAVIGATING THE DATA WINDOW... 33 ADDING VARIABLES AND OBSERVATIONS... 34 DEFINING VARIABLES...
More informationIntroduction. About this Document. What is SPSS. ohow to get SPSS. oopening Data
Introduction About this Document This manual was written by members of the Statistical Consulting Program as an introduction to SPSS 12.0. It is designed to assist new users in familiarizing themselves
More informationData Management - 50%
Exam 1: SAS Big Data Preparation, Statistics, and Visual Exploration Data Management - 50% Navigate within the Data Management Studio Interface Register a new QKB Create and connect to a repository Define
More informationThe Solution to the Factorial Analysis of Variance
The Solution to the Factorial Analysis of Variance As shown in the Excel file, Howell -2, the ANOVA analysis (in the ToolPac) yielded the following table: Anova: Two-Factor With Replication SUMMARYCounting
More informationPoints Lines Connected points X-Y Scatter. X-Y Matrix Star Plot Histogram Box Plot. Bar Group Bar Stacked H-Bar Grouped H-Bar Stacked
Plotting Menu: QCExpert Plotting Module graphs offers various tools for visualization of uni- and multivariate data. Settings and options in different types of graphs allow for modifications and customizations
More informationStatistical Package for the Social Sciences INTRODUCTION TO SPSS SPSS for Windows Version 16.0: Its first version in 1968 In 1975.
Statistical Package for the Social Sciences INTRODUCTION TO SPSS SPSS for Windows Version 16.0: Its first version in 1968 In 1975. SPSS Statistics were designed INTRODUCTION TO SPSS Objective About the
More informationSelect Cases. Select Cases GRAPHS. The Select Cases command excludes from further. selection criteria. Select Use filter variables
Select Cases GRAPHS The Select Cases command excludes from further analysis all those cases that do not meet specified selection criteria. Select Cases For a subset of the datafile, use Select Cases. In
More informationTechnical Support Minitab Version Student Free technical support for eligible products
Technical Support Free technical support for eligible products All registered users (including students) All registered users (including students) Registered instructors Not eligible Worksheet Size Number
More informationFor Additional Information...
For Additional Information... The materials in this handbook were developed by Master Black Belts at General Electric Medical Systems to assist Black Belts and Green Belts in completing Minitab Analyses.
More informationInstructions for Using ABCalc James Alan Fox Northeastern University Updated: August 2009
Instructions for Using ABCalc James Alan Fox Northeastern University Updated: August 2009 Thank you for using ABCalc, a statistical calculator to accompany several introductory statistics texts published
More informationBrief Guide on Using SPSS 10.0
Brief Guide on Using SPSS 10.0 (Use student data, 22 cases, studentp.dat in Dr. Chang s Data Directory Page) (Page address: http://www.cis.ysu.edu/~chang/stat/) I. Processing File and Data To open a new
More informationSTATS PAD USER MANUAL
STATS PAD USER MANUAL For Version 2.0 Manual Version 2.0 1 Table of Contents Basic Navigation! 3 Settings! 7 Entering Data! 7 Sharing Data! 8 Managing Files! 10 Running Tests! 11 Interpreting Output! 11
More information1 Introducing SAS and SAS/ASSIST Software
1 CHAPTER 1 Introducing SAS and SAS/ASSIST Software What Is SAS? 1 Data Access 2 Data Management 2 Data Analysis 2 Data Presentation 2 SAS/ASSIST Software 2 The SAS/ASSIST WorkPlace Environment 3 Buttons
More informationStatistical Pattern Recognition
Statistical Pattern Recognition Features and Feature Selection Hamid R. Rabiee Jafar Muhammadi Spring 2013 http://ce.sharif.edu/courses/91-92/2/ce725-1/ Agenda Features and Patterns The Curse of Size and
More informationHow to Make Graphs in EXCEL
How to Make Graphs in EXCEL The following instructions are how you can make the graphs that you need to have in your project.the graphs in the project cannot be hand-written, but you do not have to use
More informationData Analysis and Hypothesis Testing Using the Python ecosystem
ARISTOTLE UNIVERSITY OF THESSALONIKI Data Analysis and Hypothesis Testing Using the Python ecosystem t-test & ANOVAs Stavros Demetriadis Assc. Prof., School of Informatics, Aristotle University of Thessaloniki
More informationStatistics with a Hemacytometer
Statistics with a Hemacytometer Overview This exercise incorporates several different statistical analyses. Data gathered from cell counts with a hemacytometer is used to explore frequency distributions
More informationQuick Start Guide Jacob Stolk PhD Simone Stolk MPH November 2018
Quick Start Guide Jacob Stolk PhD Simone Stolk MPH November 2018 Contents Introduction... 1 Start DIONE... 2 Load Data... 3 Missing Values... 5 Explore Data... 6 One Variable... 6 Two Variables... 7 All
More informationBasic concepts and terms
CHAPTER ONE Basic concepts and terms I. Key concepts Test usefulness Reliability Construct validity Authenticity Interactiveness Impact Practicality Assessment Measurement Test Evaluation Grading/marking
More informationChoosing the Right Procedure
3 CHAPTER 1 Choosing the Right Procedure Functional Categories of Base SAS Procedures 3 Report Writing 3 Statistics 3 Utilities 4 Report-Writing Procedures 4 Statistical Procedures 6 Available Statistical
More informationMath 227 EXCEL / MEGASTAT Guide
Math 227 EXCEL / MEGASTAT Guide Introduction Introduction: Ch2: Frequency Distributions and Graphs Construct Frequency Distributions and various types of graphs: Histograms, Polygons, Pie Charts, Stem-and-Leaf
More informationSAS (Statistical Analysis Software/System)
SAS (Statistical Analysis Software/System) SAS Analytics:- Class Room: Training Fee & Duration : 23K & 3 Months Online: Training Fee & Duration : 25K & 3 Months Learning SAS: Getting Started with SAS Basic
More informationE-Campus Inferential Statistics - Part 2
E-Campus Inferential Statistics - Part 2 Group Members: James Jones Question 4-Isthere a significant difference in the mean prices of the stores? New Textbook Prices New Price Descriptives 95% Confidence
More informationMultiple Regression White paper
+44 (0) 333 666 7366 Multiple Regression White paper A tool to determine the impact in analysing the effectiveness of advertising spend. Multiple Regression In order to establish if the advertising mechanisms
More informationMinitab 17 commands Prepared by Jeffrey S. Simonoff
Minitab 17 commands Prepared by Jeffrey S. Simonoff Data entry and manipulation To enter data by hand, click on the Worksheet window, and enter the values in as you would in any spreadsheet. To then save
More informationChoosing the Right Procedure
3 CHAPTER 1 Choosing the Right Procedure Functional Categories of Base SAS Procedures 3 Report Writing 3 Statistics 3 Utilities 4 Report-Writing Procedures 4 Statistical Procedures 5 Efficiency Issues
More informationSurvey of Math: Excel Spreadsheet Guide (for Excel 2016) Page 1 of 9
Survey of Math: Excel Spreadsheet Guide (for Excel 2016) Page 1 of 9 Contents 1 Introduction to Using Excel Spreadsheets 2 1.1 A Serious Note About Data Security.................................... 2 1.2
More informationStatistical Pattern Recognition
Statistical Pattern Recognition Features and Feature Selection Hamid R. Rabiee Jafar Muhammadi Spring 2012 http://ce.sharif.edu/courses/90-91/2/ce725-1/ Agenda Features and Patterns The Curse of Size and
More informationSpreadsheet View and Basic Statistics Concepts
Spreadsheet View and Basic Statistics Concepts GeoGebra 3.2 Workshop Handout 9 Judith and Markus Hohenwarter www.geogebra.org Table of Contents 1. Introduction to GeoGebra s Spreadsheet View 2 2. Record
More informationCell means coding and effect coding
Cell means coding and effect coding /* mathregr_3.sas */ %include 'readmath.sas'; title2 ''; /* The data step continues */ if ethnic ne 6; /* Otherwise, throw the case out */ /* Indicator dummy variables
More informationAN OVERVIEW AND EXPLORATION OF JMP A DATA DISCOVERY SYSTEM IN DAIRY SCIENCE
AN OVERVIEW AND EXPLORATION OF JMP A DATA DISCOVERY SYSTEM IN DAIRY SCIENCE A.P. Ruhil and Tara Chand National Dairy Research Institute, Karnal-132001 JMP commonly pronounced as Jump is a statistical software
More informationChapter 2 Assignment (due Thursday, April 19)
(due Thursday, April 19) Introduction: The purpose of this assignment is to analyze data sets by creating histograms and scatterplots. You will use the STATDISK program for both. Therefore, you should
More informationPicturing Statistics Diana Suhr, University of Northern Colorado
Picturing Statistics Diana Suhr, University of Northern Colorado Abstract Statistical results could be easier to understand if you visualize them. This Hands On Workshop will give you an opportunity to
More informationPLS205 Lab 1 January 9, Laboratory Topics 1 & 2
PLS205 Lab 1 January 9, 2014 Laboratory Topics 1 & 2 Welcome, introduction, logistics, and organizational matters Introduction to SAS Writing and running programs saving results checking for errors Different
More informationINSTRUCTIONS FOR USING MICROSOFT EXCEL PERFORMING DESCRIPTIVE AND INFERENTIAL STATISTICS AND GRAPHING
APPENDIX INSTRUCTIONS FOR USING MICROSOFT EXCEL PERFORMING DESCRIPTIVE AND INFERENTIAL STATISTICS AND GRAPHING (Developed by Dr. Dale Vogelien, Kennesaw State University) ** For a good review of basic
More informationCORExpress 1.0 USER S GUIDE Jay Magidson
CORExpress 1.0 USER S GUIDE Jay Magidson 1 This document should be cited as: Magidson, J. (2014). CORExpress User s Guide: Manual for CORExpress, Belmont, MA: Statistical Innovations Inc. For more information
More informationBiostat Methods STAT 5820/6910 Handout #4: Chi-square, Fisher s, and McNemar s Tests
Biostat Methods STAT 5820/6910 Handout #4: Chi-square, Fisher s, and McNemar s Tests Example 1: 152 patients were randomly assigned to 4 dose groups in a clinical study. During the course of the study,
More informationStatistical Pattern Recognition
Statistical Pattern Recognition Features and Feature Selection Hamid R. Rabiee Jafar Muhammadi Spring 2014 http://ce.sharif.edu/courses/92-93/2/ce725-2/ Agenda Features and Patterns The Curse of Size and
More informationSAS Visual Analytics 8.2: Working with Report Content
SAS Visual Analytics 8.2: Working with Report Content About Objects After selecting your data source and data items, add one or more objects to display the results. SAS Visual Analytics provides objects
More informationMath 263 Excel Assignment 3
ath 263 Excel Assignment 3 Sections 001 and 003 Purpose In this assignment you will use the same data as in Excel Assignment 2. You will perform an exploratory data analysis using R. You shall reproduce
More informationBUSINESS ANALYTICS. 96 HOURS Practical Learning. DexLab Certified. Training Module. Gurgaon (Head Office)
SAS (Base & Advanced) Analytics & Predictive Modeling Tableau BI 96 HOURS Practical Learning WEEKDAY & WEEKEND BATCHES CLASSROOM & LIVE ONLINE DexLab Certified BUSINESS ANALYTICS Training Module Gurgaon
More informationStatistics and Data Analysis. Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment
Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment Huei-Ling Chen, Merck & Co., Inc., Rahway, NJ Aiming Yang, Merck & Co., Inc., Rahway, NJ ABSTRACT Four pitfalls are commonly
More informationBluman & Mayer, Elementary Statistics, A Step by Step Approach, Canadian Edition
Bluman & Mayer, Elementary Statistics, A Step by Step Approach, Canadian Edition Online Learning Centre Technology Step-by-Step - Minitab Minitab is a statistical software application originally created
More informationLab #1: Introduction to Basic SAS Operations
Lab #1: Introduction to Basic SAS Operations Getting Started: OVERVIEW OF SAS (access lab pages at http://www.stat.lsu.edu/exstlab/) There are several ways to open the SAS program. You may have a SAS icon
More information1 Introduction to Using Excel Spreadsheets
Survey of Math: Excel Spreadsheet Guide (for Excel 2007) Page 1 of 6 1 Introduction to Using Excel Spreadsheets This section of the guide is based on the file (a faux grade sheet created for messing with)
More informationSet up of the data is similar to the Randomized Block Design situation. A. Chang 1. 1) Setting up the data sheet
Repeated Measure Analysis (Univariate Mixed Effect Model Approach) (Treatment as the Fixed Effect and the Subject as the Random Effect) (This univariate approach can be used for randomized block design
More informationWritten by Donna Hiestand-Tupper CCBC - Essex TI 83 TUTORIAL. Version 3.0 to accompany Elementary Statistics by Mario Triola, 9 th edition
TI 83 TUTORIAL Version 3.0 to accompany Elementary Statistics by Mario Triola, 9 th edition Written by Donna Hiestand-Tupper CCBC - Essex 1 2 Math 153 - Introduction to Statistical Methods TI 83 (PLUS)
More informationBivariate (Simple) Regression Analysis
Revised July 2018 Bivariate (Simple) Regression Analysis This set of notes shows how to use Stata to estimate a simple (two-variable) regression equation. It assumes that you have set Stata up on your
More informationRepeated Measures Part 4: Blood Flow data
Repeated Measures Part 4: Blood Flow data /* bloodflow.sas */ options linesize=79 pagesize=100 noovp formdlim='_'; title 'Two within-subjecs factors: Blood flow data (NWK p. 1181)'; proc format; value
More informationPlease login. Take a seat Login with your HawkID Locate SAS 9.3. Raise your hand if you need assistance. Start / All Programs / SAS / SAS 9.
Please login Take a seat Login with your HawkID Locate SAS 9.3 Start / All Programs / SAS / SAS 9.3 (64 bit) Raise your hand if you need assistance Introduction to SAS Procedures Sarah Bell Overview Review
More informationSTATISTICS FOR PSYCHOLOGISTS
STATISTICS FOR PSYCHOLOGISTS SECTION: JAMOVI CHAPTER: USING THE SOFTWARE Section Abstract: This section provides step-by-step instructions on how to obtain basic statistical output using JAMOVI, both visually
More informationTHE L.L. THURSTONE PSYCHOMETRIC LABORATORY UNIVERSITY OF NORTH CAROLINA. Forrest W. Young & Carla M. Bann
Forrest W. Young & Carla M. Bann THE L.L. THURSTONE PSYCHOMETRIC LABORATORY UNIVERSITY OF NORTH CAROLINA CB 3270 DAVIE HALL, CHAPEL HILL N.C., USA 27599-3270 VISUAL STATISTICS PROJECT WWW.VISUALSTATS.ORG
More informationNAME: BEST FIT LINES USING THE NSPIRE
NAME: BEST FIT LINES USING THE NSPIRE For this portion of the activity, you will be using the same data sets you just completed where you visually estimated the line of best fit..) Load the data sets into
More informationProbabilistic Analysis Tutorial
Probabilistic Analysis Tutorial 2-1 Probabilistic Analysis Tutorial This tutorial will familiarize the user with the Probabilistic Analysis features of Swedge. In a Probabilistic Analysis, you can define
More informationExcel Tips and FAQs - MS 2010
BIOL 211D Excel Tips and FAQs - MS 2010 Remember to save frequently! Part I. Managing and Summarizing Data NOTE IN EXCEL 2010, THERE ARE A NUMBER OF WAYS TO DO THE CORRECT THING! FAQ1: How do I sort my
More informationCut Out The Cut And Paste: SAS Macros For Presenting Statistical Output ABSTRACT INTRODUCTION
Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output Myungshin Oh, UCLA Department of Biostatistics Mel Widawski, UCLA School of Nursing ABSTRACT We, as statisticians, often spend more
More informationMINITAB 17 BASICS REFERENCE GUIDE
MINITAB 17 BASICS REFERENCE GUIDE Dr. Nancy Pfenning September 2013 After starting MINITAB, you'll see a Session window above and a worksheet below. The Session window displays non-graphical output such
More informationSoci Statistics for Sociologists
University of North Carolina Chapel Hill Soci708-001 Statistics for Sociologists Fall 2009 Professor François Nielsen Stata Commands for Module 7 Inference for Distributions For further information on
More informationSAS Training Spring 2006
SAS Training Spring 2006 Coxe/Maner/Aiken Introduction to SAS: This is what SAS looks like when you first open it: There is a Log window on top; this will let you know what SAS is doing and if SAS encountered
More informationExcel 2010 Worksheet 3. Table of Contents
Table of Contents Graphs and Charts... 1 Chart Elements... 1 Column Charts:... 2 Pie Charts:... 6 Line graph 1:... 8 Line Graph 2:... 10 Scatter Charts... 12 Functions... 13 Calculate Averages (Mean):...
More informationSAS/STAT 13.1 User s Guide. The NESTED Procedure
SAS/STAT 13.1 User s Guide The NESTED Procedure This document is an individual chapter from SAS/STAT 13.1 User s Guide. The correct bibliographic citation for the complete manual is as follows: SAS Institute
More informationFathom Dynamic Data TM Version 2 Specifications
Data Sources Fathom Dynamic Data TM Version 2 Specifications Use data from one of the many sample documents that come with Fathom. Enter your own data by typing into a case table. Paste data from other
More informationStatistics Lab #7 ANOVA Part 2 & ANCOVA
Statistics Lab #7 ANOVA Part 2 & ANCOVA PSYCH 710 7 Initialize R Initialize R by entering the following commands at the prompt. You must type the commands exactly as shown. options(contrasts=c("contr.sum","contr.poly")
More informationOrganizing Your Data. Jenny Holcombe, PhD UT College of Medicine Nuts & Bolts Conference August 16, 3013
Organizing Your Data Jenny Holcombe, PhD UT College of Medicine Nuts & Bolts Conference August 16, 3013 Learning Objectives Identify Different Types of Variables Appropriately Naming Variables Constructing
More informationStat 500 lab notes c Philip M. Dixon, Week 10: Autocorrelated errors
Week 10: Autocorrelated errors This week, I have done one possible analysis and provided lots of output for you to consider. Case study: predicting body fat Body fat is an important health measure, but
More informationStat 5100 Handout #14.a SAS: Logistic Regression
Stat 5100 Handout #14.a SAS: Logistic Regression Example: (Text Table 14.3) Individuals were randomly sampled within two sectors of a city, and checked for presence of disease (here, spread by mosquitoes).
More information1 Downloading files and accessing SAS. 2 Sorting, scatterplots, correlation and regression
Statistical Methods and Computing, 22S:30/105 Instructor: Cowles Lab 2 Feb. 6, 2015 1 Downloading files and accessing SAS. We will be using the billion.dat dataset again today, as well as the OECD dataset
More informationTasks Menu Reference. Introduction. Data Management APPENDIX 1
229 APPENDIX 1 Tasks Menu Reference Introduction 229 Data Management 229 Report Writing 231 High Resolution Graphics 232 Low Resolution Graphics 233 Data Analysis 233 Planning Tools 235 EIS 236 Remote
More informationTHIS IS NOT REPRESNTATIVE OF CURRENT CLASS MATERIAL. STOR 455 Midterm 1 September 28, 2010
THIS IS NOT REPRESNTATIVE OF CURRENT CLASS MATERIAL STOR 455 Midterm September 8, INSTRUCTIONS: BOTH THE EXAM AND THE BUBBLE SHEET WILL BE COLLECTED. YOU MUST PRINT YOUR NAME AND SIGN THE HONOR PLEDGE
More informationTo make sense of data, you can start by answering the following questions:
Taken from the Introductory Biology 1, 181 lab manual, Biological Sciences, Copyright NCSU (with appreciation to Dr. Miriam Ferzli--author of this appendix of the lab manual). Appendix : Understanding
More informationPaper S Data Presentation 101: An Analyst s Perspective
Paper S1-12-2013 Data Presentation 101: An Analyst s Perspective Deanna Chyn, University of Michigan, Ann Arbor, MI Anca Tilea, University of Michigan, Ann Arbor, MI ABSTRACT You are done with the tedious
More informationContents. Tutorials Section 1. About SAS Enterprise Guide ix About This Book xi Acknowledgments xiii
Contents About SAS Enterprise Guide ix About This Book xi Acknowledgments xiii Tutorials Section 1 Tutorial A Getting Started with SAS Enterprise Guide 3 Starting SAS Enterprise Guide 3 SAS Enterprise
More informationSPSS. (Statistical Packages for the Social Sciences)
Inger Persson SPSS (Statistical Packages for the Social Sciences) SHORT INSTRUCTIONS This presentation contains only relatively short instructions on how to perform basic statistical calculations in SPSS.
More informationUsing PC SAS/ASSIST* for Statistical Analyses
Using PC SAS/ASSIST* for Statistical Analyses Margaret A. Nemeth, Monsanto Company lptroductjon SAS/ASSIST, a user friendly, menu driven applications system, is available on several platforms. This paper
More informationST Lab 1 - The basics of SAS
ST 512 - Lab 1 - The basics of SAS What is SAS? SAS is a programming language based in C. For the most part SAS works in procedures called proc s. For instance, to do a correlation analysis there is proc
More information