# STATISTICAL DATA ANALYSIS

Save this PDF as:

Size: px
Start display at page:

## Transcription

1 STATISTICAL DATA ANALYSIS INTRODUCTION Fethullah Karabiber YTU, Fall of 2012

2 The role of statistical analysis in science This course discusses some statistical methods, which involve applying statistical methods to biological problems. We use empirical evidence to study populations and make informed decisions. To study a population, we measure a set of characteristics, which we refer to as variables. The objective of many scientific studies is to learn about the variation of a specific characteristic (e.g., BMI, disease status) in the population of interest.

3 The role of statistical analysis in science In many studies, we are interested in possible relationships among different variables. We refer to the variables that are the main focus of our study as the response (or target) variables. In contrast, we call variables that explain or predict the variation in the response variable as explanatory variables or predictors depending on the role of these variables. Statistical analysis begins with a scientific problem usually presented in the form of a hypothesis testing or a prediction problem.

4 Sampling The samples are selected randomly (i.e., with some probability) from the population. Unless stated otherwise, these randomly selected members of populations are assumed to be independent. The selected members (e.g., people, households, cells) are called sampling units. The individual entities from which we collect information are called observation units, or simply observations. Our sample must be representative of the population, and their environments should be comparable to that of the whole population.

5 Sampling Some of the most widely used sampling designs Simple Random Sampling: the chance of being selected is the same for any group of n members in the popilation Stratified Sampling: The population is first partitioned in to subpopulation,a.k.a. strata, and sampling is performed seperately within each subpopulation. Cluster Sampling: Group observations units into clusters and then sample from these clusters.

6 Observational studies and experiments After obtaining the sample, the next step is gathering the relevant information from the selected members. In observational studies, researchers are passive examiners, trying to have the least impact on the data collection process. Observational studies are quite helpful in detecting relationships among characteristics. When studying the relationships between characteristics, it is important to distinguish between association and causality. The realationship is casual if one characteristic influences the other one. It is usually easier to establish causality by using experiments. In experiments, researchers attempt to control the process as much as possible.

7 Observational studies and experiments Observational Studies: Retrospective: look into history Prospective: observation over time Randomization and Replication Collecting Data Cross-Sectional: at some fixed time Longitudinal: follow the samples over time and repeatedly collect information and take measurements Time Series: over a period of time. It is collected more frequently, but on smaller samples

8 Data exploration After collecting data, the next step towards statistical inference and decision making is to perform data exploration, which involves visualizing and summarizing the data. The objective of data visualization is to obtain a high level understanding of the sample and their observed (measured) characteristics. To make the data more manageable, we need to further reduce the amount of information in some meaningful ways so that we can focus on the key aspects of the data. Summary statistics are used for this purpose.

9 Data exploration Using data exploration techniques, we can learn about the distribution of a variable. Informally, the distribution of a variable tells us the possible values it can take, the chance of observing those values, and how often we expect to see them in a random sample from the population. Through data exploration, we might detect previously unknown patterns and relationships that are worth further investigation. We can also identify possible data issues, such as unexpected or unusual measurements, known as outliers.

10 Statistical inference We collect data on a sample from the population in order to learn about the whole population. For example, Mackowiak, et al. (1992) measure the normal body temperature for 148 people to learn about the normal body temperature for the entire population. In this case, we say we are estimating the unknown population average. However, the characteristics and relationships in the whole population remain unknown. Therefore, there is always some uncertainty associated with our estimations.

11 Statistical inference In Statistics, the mathematical tool to address uncertainty is probability. The process of using the data to draw conclusions about the whole population, while acknowledging the extent of our uncertainty about our findings, is called statistical inference. The knowledge we acquire from data through statistical inference allows us to make decisions with respect to the scientific problem that motivated our study and our data analysis.

12 Computation We usually use computer programs to perform most of our statistical analysis and inference. The computer programs commonly used for this purpose are SAS, STATA, SPSS, MINITAB, MATLAB, and R. R is free and arguably the most common software among statisticians. For the purpose of this course, we use R-Commander, which allows us to do basic statistical analysis without necessarily learning the programing language of R. You are however encouraged to learn R for additional flexibility in your data analysis.

13 Using R-Commander The R-Commander window. Notice the menu bar, Data set box, Edit data set button, View data set button, Script window, Submit button, and Output window

14 Using R-Commander Importing thepima.tr data from the MASS package. Select the appropriate package and data set Viewing the Pima.tr data in R-Commander. Each row corresponds to a Pima Indian woman in our sample, and each column corresponds to a Variable

15 Using R-Commander Importing the BodyTemperature data into R-Commander. Enter BodyTemperature as the name of the data set. Accept all other defaults Viewing the BodyTemperature data in R-Commander

### Appendix B Checklist for the Empirical Cycle

Appendix B Checklist for the Empirical Cycle This checklist can be used to design your research, write a report about it (internal report, published paper, or thesis), and read a research report written

### STATISTICS and PROBABILITY Definition Statistics is the science and practice of developing human knowledge through the use of empirical data

STATISTICS and PROBABILITY Definition Statistics is the science and practice of developing human knowledge through the use of empirical data expressed in quantitative form. It is based on statistical theory

### Intro to Data Analysis, Economic Statistics and Econometrics

Intro to Data Analysis, Economic Statistics and Econometrics Statistics deals with the techniques for collecting and analyzing data that arise in many different contexts. Econometrics involves the development

### Minitab Guide. This packet contains: A Friendly Guide to Minitab. Minitab Step-By-Step

Minitab Guide This packet contains: A Friendly Guide to Minitab An introduction to Minitab; including basic Minitab functions, how to create sets of data, and how to create and edit graphs of different

### Chapter 2 Introduction to SPSS

Chapter 2 Introduction to SPSS Abstract This chapter introduces several basic SPSS procedures that are used in the analysis of a data set. The chapter explains the structure of SPSS data files, how to

### What is Data Analysis. Kerala School of MathematicsCourse in Statistics for Scientis. Introduction to Data Analysis. Steps in a Statistical Study

Kerala School of Mathematics Course in Statistics for Scientists Introduction to Data Analysis T.Krishnan Strand Life Sciences, Bangalore What is Data Analysis Statistics is a body of methods how to use

### Technology Step-by-Step Using StatCrunch

Technology Step-by-Step Using StatCrunch Section 1.3 Simple Random Sampling 1. Select Data, highlight Simulate Data, then highlight Discrete Uniform. 2. Fill in the following window with the appropriate

### Organizing Your Approach to a Data Analysis

Biost/Stat 578 B: Data Analysis Emerson, September 29, 2003 Handout #1 Organizing Your Approach to a Data Analysis The general theme should be to maximize thinking about the data analysis and to minimize

### Understanding Confidence Intervals and Hypothesis Testing Using Excel Data Table Simulation

Understanding Confidence Intervals and Hypothesis Testing Using Excel Data Table Simulation Leslie Chandrakantha lchandra@jjay.cuny.edu Department of Mathematics & Computer Science John Jay College of

### MINITAB ASSISTANT WHITE PAPER

MINITAB ASSISTANT WHITE PAPER This paper explains the research conducted by Minitab statisticians to develop the methods and data checks used in the Assistant in Minitab 17 Statistical Software. One-Way

### Appendix 2.1 Tabular and Graphical Methods Using Excel

Appendix 2.1 Tabular and Graphical Methods Using Excel 1 Appendix 2.1 Tabular and Graphical Methods Using Excel The instructions in this section begin by describing the entry of data into an Excel spreadsheet.

### EAA492/6: FINAL YEAR PROJECT DEVELOPING QUESTIONNAIRES PART 2 A H M A D S H U K R I Y A H A Y A E N G I N E E R I N G C A M P U S U S M

EAA492/6: FINAL YEAR PROJECT DEVELOPING QUESTIONNAIRES PART 2 1 A H M A D S H U K R I Y A H A Y A E N G I N E E R I N G C A M P U S U S M CONTENTS Reliability And Validity Sample Size Determination Sampling

### This book serves as a guide for those interested in using IBM

1 Overview This book serves as a guide for those interested in using IBM SPSS/PASW Statistics software to aid in statistical data analysis whether as a companion to a statistics or research methods course

### Importing Data into R

1 R is an open source programming language focused on statistical computing. R supports many types of files as input and the following tutorial will cover some of the most popular. Importing from text

### Multiple Regression Analysis in Minitab 1

Multiple Regression Analysis in Minitab 1 Suppose we are interested in how the exercise and body mass index affect the blood pressure. A random sample of 10 males 50 years of age is selected and their

### Homework Questions? A Look at Categorical Variables. Math 140. Chapter 3 1. Two Types of Questions

Homework Questions? Two Types of Questions 1. Conceptual questions Answered in the beginning of class, as part of class Just ask. 2. HW questions on specific problems Answered during office hours Answered

### Foundation of Quantitative Data Analysis

Foundation of Quantitative Data Analysis Part 1: Data manipulation and descriptive statistics with SPSS/Excel HSRS #10 - October 17, 2013 Reference : A. Aczel, Complete Business Statistics. Chapters 1

### 6. An Introduction to Statistical Package for the Social Sciences

6. An Introduction to Statistical Package for the Social Sciences 53 Nick Emtage and Stephen Duthy This module provides an introduction to statistical analysis, particularly in regard to survey data. Some

### Simple Linear Regression in SPSS STAT 314

Simple Linear Regression in SPSS STAT 314 1. Ten Corvettes between 1 and 6 years old were randomly selected from last year s sales records in Virginia Beach, Virginia. The following data were obtained,

### IBM SPSS Direct Marketing 23

IBM SPSS Direct Marketing 23 Note Before using this information and the product it supports, read the information in Notices on page 25. Product Information This edition applies to version 23, release

### This book serves as a guide for those interested in using IBM SPSS

1 Overview This book serves as a guide for those interested in using IBM SPSS Statistics software to assist in statistical data analysis whether as a companion to a statistics or research methods course,

### IBM SPSS Direct Marketing 22

IBM SPSS Direct Marketing 22 Note Before using this information and the product it supports, read the information in Notices on page 25. Product Information This edition applies to version 22, release

### Regression Clustering

Chapter 449 Introduction This algorithm provides for clustering in the multiple regression setting in which you have a dependent variable Y and one or more independent variables, the X s. The algorithm

### 3. Data Analysis, Statistics, and Probability

3. Data Analysis, Statistics, and Probability Data and probability sense provides students with tools to understand information and uncertainty. Students ask questions and gather and use data to answer

### Simple Linear Regression One Binary Categorical Independent Variable

Simple Linear Regression Does sex influence mean GCSE score? In order to answer the question posed above, we want to run a linear regression of sgcseptsnew against sgender, which is a binary categorical

### Scatter Plots with Error Bars

Chapter 165 Scatter Plots with Error Bars Introduction The procedure extends the capability of the basic scatter plot by allowing you to plot the variability in Y and X corresponding to each point. Each

### Randomization in Clinical Trials

in Clinical Trials Versio.0 May 2011 1. Simple 2. Block randomization 3. Minimization method Stratification RELATED ISSUES 1. Accidental Bias 2. Selection Bias 3. Prognostic Factors 4. Random selection

### Introduction to Stata and Hypothesis testing.

Introduction to Stata and Hypothesis testing. The goals today are simple let s open Stata, understand basically how it works, understand what a dofile is, and then run some basic hypothesis tests for testing

### Fairfield Public Schools

Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity

### 2. Simple Linear Regression

Research methods - II 3 2. Simple Linear Regression Simple linear regression is a technique in parametric statistics that is commonly used for analyzing mean response of a variable Y which changes according

### Making an online form in Serif WebPlus

Making an online form in Serif WebPlus Before you begin your form, it is a very good idea to plan it out on a piece of paper. Decide what information you wish to collect, and which type of fields will

### 1.1 What is statistics? Data Collection. Important Definitions. What is data? Descriptive Statistics. Inferential Statistics

1.1 What is statistics? Data Collection Chapter 1 A science (bet you thought it was a math) of Collecting of data (Chap. 1) Organizing data (Chap. 2) Summarizing data (Chap. 2, 3) Analyzing data (Chap.

### Handout 7: Understanding Relationships Between Two Categorical Variables

In this handout, we will continue to discuss ways to investigate the relationship between two categorical variables. Recall that a categorical variable takes on a value that is the name of a category or

### An Exercise in Sampling: Rolling Down the River

An Exercise in Sampling: Rolling Down the River Name: Date: A farmer has just cleared a new field for corn. It is a unique plot of land in that a river runs along one side. The corn looks good in some

### Chapter 7 Appendix. Inference for Distributions with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators

Chapter 7 Appendix Inference for Distributions with Excel, JMP, Minitab, SPSS, CrunchIt!, R, and TI-83/-84 Calculators Inference for the Mean of a Population Excel t Confidence Interval for Mean Confidence

### 4. Are you satisfied with the outcome? Why or why not? Offer a solution and make a new graph (Figure 2).

Assignment 1 Introduction to Excel and SPSS Graphing and Data Manipulation Part 1 Graphing (worksheet 1) 1. Download the BHM excel data file from the course website. 2. Save it to the desktop as an excel

### Excel Charts & Graphs

MAX 201 Spring 2008 Assignment #6: Charts & Graphs; Modifying Data Due at the beginning of class on March 18 th Introduction This assignment introduces the charting and graphing capabilities of SPSS and

### Practice 3 SPSS. Partially based on Notes from the University of Reading:

Practice 3 SPSS Partially based on Notes from the University of Reading: http://www.reading.ac.uk Simple Linear Regression A simple linear regression model is fitted when you want to investigate whether

### Sage Timesheet Web Access How To Use Timesheet

View and Enter Hours The majority of your projects, called tasks in Timesheet Professional, have already been set up for you. Because the names of the projects are very long, your view has been changed

### Directions for Chi-Square for One and for Two Variables Datasets: One_way_chi_square.sav and Two_way_Chi_square.sav. One-way Chi-square

Directions for Chi-Square for One and for Two Variables Datasets: One_way_chi_square.sav and Two_way_Chi_square.sav One-way Chi-square 1. Open the dataset containing the already grouped frequency of student

### Class 19: Two Way Tables, Conditional Distributions, Chi-Square (Text: Sections 2.5; 9.1)

Spring 204 Class 9: Two Way Tables, Conditional Distributions, Chi-Square (Text: Sections 2.5; 9.) Big Picture: More than Two Samples In Chapter 7: We looked at quantitative variables and compared the

### Statistical & Technical Team

Statistical & Technical Team A Practical Guide to Sampling This guide is brought to you by the Statistical and Technical Team, who form part of the VFM Development Team. They are responsible for advice

### EXCEL EXERCISE AND ACCELERATION DUE TO GRAVITY

EXCEL EXERCISE AND ACCELERATION DUE TO GRAVITY Objective: To learn how to use the Excel spreadsheet to record your data, calculate values and make graphs. To analyze the data from the Acceleration Due

### Introduction to Longitudinal Data Analysis

Introduction to Longitudinal Data Analysis Longitudinal Data Analysis Workshop Section 1 University of Georgia: Institute for Interdisciplinary Research in Education and Human Development Section 1: Introduction

### Appendix G STATISTICAL METHODS INFECTIOUS METHODS STATISTICAL ROADMAP. Prepared in Support of: CDC/NCEH Cross Sectional Assessment Study.

Appendix G STATISTICAL METHODS INFECTIOUS METHODS STATISTICAL ROADMAP Prepared in Support of: CDC/NCEH Cross Sectional Assessment Study Prepared by: Centers for Disease Control and Prevention National

### Chapter 23. Inferences for Regression

Chapter 23. Inferences for Regression Topics covered in this chapter: Simple Linear Regression Simple Linear Regression Example 23.1: Crying and IQ The Problem: Infants who cry easily may be more easily

### Study Design & Methodology

UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH STATISTICAL CONSULTING UNIT Research in Health Sciences Study Design & Methodology Study Design & Methodology Dr Jean Saunders C.Stat Inc extra Declan slides Lyons

### Design and Analysis of Ecological Data Conceptual Foundations: Ec o lo g ic al Data

Design and Analysis of Ecological Data Conceptual Foundations: Ec o lo g ic al Data 1. Purpose of data collection...................................................... 2 2. Samples and populations.......................................................

### IBM SPSS Complex Samples 22

IBM SPSS Complex Samples 22 Note Before using this information and the product it supports, read the information in Notices on page 51. Product Information This edition applies to version 22, release 0,

### Clinical Study Design and Methods Terminology

Home College of Veterinary Medicine Washington State University WSU Faculty &Staff Page Page 1 of 5 John Gay, DVM PhD DACVPM AAHP FDIU VCS Clinical Epidemiology & Evidence-Based Medicine Glossary: Clinical

### SPSS Workbook 1 Data Entry : Questionnaire Data

TEESSIDE UNIVERSITY SCHOOL OF HEALTH & SOCIAL CARE SPSS Workbook 1 Data Entry : Questionnaire Data Prepared by: Sylvia Storey s.storey@tees.ac.uk SPSS data entry 1 This workbook is designed to introduce

### Tutorial for proteome data analysis using the Perseus software platform

Tutorial for proteome data analysis using the Perseus software platform Laboratory of Mass Spectrometry, LNBio, CNPEM Tutorial version 1.0, January 2014. Note: This tutorial was written based on the information

### Guide for SPSS for Windows

Guide for SPSS for Windows Index Table Open an existing data file Open a new data sheet Enter or change data value Name a variable Label variables and data values Enter a categorical data Delete a record

### Monte Carlo Simulation (General Simulation Models)

Monte Carlo Simulation (General Simulation Models) STATGRAPHICS Rev. 9/16/2013 Summary... 1 Example #1... 1 Example #2... 8 Summary Monte Carlo simulation is used to estimate the distribution of variables

### AN INTRODUCTION TO ECONOMETRICS. Oxbridge Economics; Mo Tanweer

AN INTRODUCTION TO ECONOMETRICS Oxbridge Economics; Mo Tanweer Mohammed.Tanweer@cantab.net Econometrics What is econometrics? Econometrics means economic measurement Economics + Statistics = Econometrics

### Lab 6: Sampling Distributions and the CLT

Lab 6: Sampling Distributions and the CLT Objective: The objective of this lab is to give you a hands- on discussion and understanding of sampling distributions and the Central Limit Theorem (CLT), a theorem

### Appendix Methodology and Statistics

Appendix Methodology and Statistics Introduction Science and Engineering Indicators (SEI) contains data compiled from a variety of sources. This appendix explains the methodological and statistical criteria

### SAS Software to Fit the Generalized Linear Model

SAS Software to Fit the Generalized Linear Model Gordon Johnston, SAS Institute Inc., Cary, NC Abstract In recent years, the class of generalized linear models has gained popularity as a statistical modeling

### The Research Proposal

Describes the: The Research Proposal Researchable question itself Why it's important (i.e., the rationale and significance of your research) Propositions that are known or assumed to be true (i.e., axioms

### SPSS and AM statistical software example.

A detailed example of statistical analysis using the NELS:88 data file and ECB, to perform a longitudinal analysis of 1988 8 th graders in the year 2000: SPSS and AM statistical software example. Overall

### Two-Group Hypothesis Tests: Excel 2013 T-TEST Command

Two group hypothesis tests using Excel 2013 T-TEST command 1 Two-Group Hypothesis Tests: Excel 2013 T-TEST Command by Milo Schield Member: International Statistical Institute US Rep: International Statistical

### STATS8: Introduction to Biostatistics. Data Exploration. Babak Shahbaba Department of Statistics, UCI

STATS8: Introduction to Biostatistics Data Exploration Babak Shahbaba Department of Statistics, UCI Introduction After clearly defining the scientific problem, selecting a set of representative members

### The Science and Art of Market Segmentation Using PROC FASTCLUS Mark E. Thompson, Forefront Economics Inc, Beaverton, Oregon

The Science and Art of Market Segmentation Using PROC FASTCLUS Mark E. Thompson, Forefront Economics Inc, Beaverton, Oregon ABSTRACT Effective business development strategies often begin with market segmentation,

### Basic Concepts in Research and Data Analysis

Basic Concepts in Research and Data Analysis Introduction: A Common Language for Researchers...2 Steps to Follow When Conducting Research...3 The Research Question... 3 The Hypothesis... 4 Defining the

### MAT 155. Chapter 1 Introduction to Statistics. Key Concept. Basics of Collecting Data. 155S1.5_3 Collecting Sample Data.

MAT 155 Dr. Claude Moore Cape Fear Community College Chapter 1 Introduction to Statistics 1 1 Review and Preview 1 2 Statistical Thinking 1 3 Types of Data 1 4 Critical Thinking 1 5 Collecting Sample Data

### Chapter 3: Producing Data (Part 1) Dr. Nahid Sultana

Chapter 3: Producing Data (Part 1) Dr. Nahid Sultana Chapter 3: Producing Data Introduction 3.1 Design of Experiments 3.2 Sampling Design 3.3 Toward Statistical Inference 3.4 Ethics Introduction Anecdotal

### Chapter 4 Displaying and Describing Categorical Data

Chapter 4 Displaying and Describing Categorical Data Chapter Goals Learning Objectives This chapter presents three basic techniques for summarizing categorical data. After completing this chapter you should

### DATA ANALYSIS FOR MANAGERS. Harry V. Roberts Graduate School of Business University of Chicago

DATA ANALYSIS FOR MANAGERS Harry V. Roberts Graduate School of Business University of Chicago 1. Introduction Since about 1970 1 have substantially changed my approach to teaching of basic business statistics

### Steps in applying Probability Proportional to Size (PPS) and calculating Basic Probability Weights

Steps in applying Probability Proportional to Size (PPS) and calculating Basic Probability Weights First stage: PPS sampling larger clusters have bigger probability of being sampled Second stage: Sampling

### Chi Square Test. PASSS Research Question 4: Chi Square Test

Chi Square Test Is there a statistically significant relationship between a student s Year 11 truancy and his or her enrolment in full time education after secondary school? A chi-square test is a statistical

### Design of Experiments

Design of Experiments (Lecture I) Dr. Adham Ragab Outline Goals of course Objectives of current lecture Course Description What is DOE Course Goals By the end of this course, the student should: Understand

### Allelopathic Effects on Root and Shoot Growth: One-Way Analysis of Variance (ANOVA) in SPSS. Dan Flynn

Allelopathic Effects on Root and Shoot Growth: One-Way Analysis of Variance (ANOVA) in SPSS Dan Flynn Just as t-tests are useful for asking whether the means of two groups are different, analysis of variance

### Prof. Kate Calder. It may be impossible to collect information about every member of the population. Time Cost Convenience

Sampling Design The idea of sampling: We want to say something about a population - the entire group of individuals that we want information about. To get at this we take a sample - a part of the population

### Department/Academic Unit: Public Health Sciences Degree Program: Biostatistics Collaborative Program

Department/Academic Unit: Public Health Sciences Degree Program: Biostatistics Collaborative Program Department of Mathematics and Statistics Degree Level Expectations, Learning Outcomes, Indicators of

### Tutorial #6A: Comparing Segments obtained from LC Cluster and DFactor Models in a Consumer Preference Study DemoData = crackers0.

Tutorial #6A: Comparing Segments obtained from LC Cluster and DFactor Models in a Consumer Preference Study DemoData = crackers0.sav This tutorial is based on a consumer preference study commissioned by

### WHO STEPS Surveillance Support Materials. STEPS Epi Info Training Guide

STEPS Epi Info Training Guide Department of Chronic Diseases and Health Promotion World Health Organization 20 Avenue Appia, 1211 Geneva 27, Switzerland For further information: www.who.int/chp/steps WHO

### TABLE OF CONTENTS CREATING A DATA FILE FOR MAIL MERGE... 3

TABLE OF CONTENTS CREATING A DATA FILE FOR MAIL MERGE... 3 MAIL MERGE... 3 DATA SOURCE:... 3 FIELD NAMES... 3 Creating the Mail Merge... 3 To create a data file in Excel:... 4 SORTING YOUR DATA IN AN EXCEL

### R Commander Tutorial

R Commander Tutorial Introduction R is a powerful, freely available software package that allows analyzing and graphing data. However, for somebody who does not frequently use statistical software packages,

### Instructions for carrying out statistical procedures and tests using SPSS

Instructions for carrying out statistical procedures and tests using SPSS These instructions are closely linked to the author s book: Essential Statistics for the Pharmaceutical Sciences John Wiley & Sons

### Introduction to SPSS 16.0

Introduction to SPSS 16.0 Edited by Emily Blumenthal Center for Social Science Computation and Research 110 Savery Hall University of Washington Seattle, WA 98195 USA (206) 543-8110 November 2010 http://julius.csscr.washington.edu/pdf/spss.pdf

### Data Mining: Overview. What is Data Mining?

Data Mining: Overview What is Data Mining? Recently * coined term for confluence of ideas from statistics and computer science (machine learning and database methods) applied to large databases in science,

### Using Excel for Analyzing Survey Questionnaires Jennifer Leahy

University of Wisconsin-Extension Cooperative Extension Madison, Wisconsin PD &E Program Development & Evaluation Using Excel for Analyzing Survey Questionnaires Jennifer Leahy G3658-14 Introduction You

### PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 2

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 2 1. Continuous variables (continued from Lecture 1) 1.1 Ratio-scale variables The main characteristic of a ratio-scale variable is that it has an absolute zero,

### Tutorial #7A: LC Segmentation with Ratings-based Conjoint Data

Tutorial #7A: LC Segmentation with Ratings-based Conjoint Data This tutorial shows how to use the Latent GOLD Choice program when the scale type of the dependent variable corresponds to a Rating as opposed

### Chi Squared and Fisher's Exact Tests. Observed vs Expected Distributions

BMS 617 Statistical Techniques for the Biomedical Sciences Lecture 11: Chi-Squared and Fisher's Exact Tests Chi Squared and Fisher's Exact Tests This lecture presents two similarly structured tests, Chi-squared

### HLM software has been one of the leading statistical packages for hierarchical

Introductory Guide to HLM With HLM 7 Software 3 G. David Garson HLM software has been one of the leading statistical packages for hierarchical linear modeling due to the pioneering work of Stephen Raudenbush

### SPSS for Exploratory Data Analysis Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav)

Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav) Organize and Display One Quantitative Variable (Descriptive Statistics, Boxplot & Histogram) 1. Move the mouse pointer

### Q1. Where else, other than your home, do you use the internet? (Check all that apply). Library School Workplace Internet on a cell phone Other

Exploring Check-All Questions: Frequencies, Multiple Response, and Aggregation Target Software & Version: SPSS v19 Last Updated on May 4, 2012 Created by Laura Atkins Sometimes several responses or measurements

### Using SPSS, Chapter 2: Descriptive Statistics

1 Using SPSS, Chapter 2: Descriptive Statistics Chapters 2.1 & 2.2 Descriptive Statistics 2 Mean, Standard Deviation, Variance, Range, Minimum, Maximum 2 Mean, Median, Mode, Standard Deviation, Variance,

### FACULTY OF MANAGEMENT AND ADMINISTRATION INSTRUCTIONS ANSWER ALL QUESTIONS IN BOTH SECTION A AND SECTION B

Investing in Africa s Future FACULTY OF MANAGEMENT AND ADMINISTRATION COURSE TITLE: RESEARCH METHODS AND REPORT WRITING (MMS 301) parallel SEMESTER 11: FINAL EXAMINATION SEPTEMBER 2014 TIME: 1 HOUR INSTRUCTIONS

### Rachel J. Goldberg, Guideline Research/Atlanta, Inc., Duluth, GA

PROC FACTOR: How to Interpret the Output of a Real-World Example Rachel J. Goldberg, Guideline Research/Atlanta, Inc., Duluth, GA ABSTRACT THE METHOD This paper summarizes a real-world example of a factor

### Data Analysis and Statistical Software Workshop. Ted Kasha, B.S. Kimberly Galt, Pharm.D., Ph.D.(c) May 14, 2009

Data Analysis and Statistical Software Workshop Ted Kasha, B.S. Kimberly Galt, Pharm.D., Ph.D.(c) May 14, 2009 Learning Objectives: Data analysis commonly used today Available data analysis software packages

### What Is Econometrics?

What Is Econometrics? Econometrics means the measure of things in economics such as economies, economic systems, markets, and so forth. Likewise, there is biometrics, sociometrics, anthropometrics, psychometrics

### A Guide to Stat/Transfer File Transfer Utility, Version 10

A Guide to Stat/Transfer File Transfer Utility, Version 10 Table of Contents 1.) What is Stat/Transfer, and when can it be used? 2 2.) What files does Stat/Transfer Version 10 support?...2 3.) Doing a

### Economic Order Quantity and Economic Production Quantity Models for Inventory Management

Economic Order Quantity and Economic Production Quantity Models for Inventory Management Inventory control is concerned with minimizing the total cost of inventory. In the U.K. the term often used is stock

### SPSS: Toolbars and Keyboard Shortcuts

SPSS: Toolbars and Keyboard Shortcuts Toolbars To hide or display toolbars: Open the required window. Select View, Toolbars. Select the required options. Click. Toolbar This toolbar is available in the

### IBM SPSS Statistics 20 Part 4: Chi-Square and ANOVA

CALIFORNIA STATE UNIVERSITY, LOS ANGELES INFORMATION TECHNOLOGY SERVICES IBM SPSS Statistics 20 Part 4: Chi-Square and ANOVA Summer 2013, Version 2.0 Table of Contents Introduction...2 Downloading the

### MAT 12O ELEMENTARY STATISTICS I

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 12O ELEMENTARY STATISTICS I 3 Lecture Hours, 1 Lab Hour, 3 Credits Pre-Requisite: