13-FEB :53:53. /Users/yizheng/Dropbo x (ASU) /Work/Alias/ASU/Course /COE502/Labs/sample_ work/lab2/fl_student_s urvey_modified.
|
|
- Susanna Dennis
- 5 years ago
- Views:
Transcription
1 GET FILE='/Users/yizheng/Dropbox (ASU)/Work/Alias/ASU/Course/COE502/Labs/dataset s/fl_student_survey_modified.sav '. DATASET NAME DataSet1 WINDOW=FRONT. GET FILE='/Users/yizheng/Dropbox (ASU)/Work/Alias/ASU/Course/COE502/Labs/sample_ work/lab2/fl_student_survey_modified.sav '. DATASET NAME DataSet2 WINDOW=FRONT. DATASET CLOSE DataSet1. /PIE=COUNT BY college_gpa /TITLE='College GPA'. Graph Notes Output Created Comments Input Data 13-FEB :53:53 /Users/yizheng/Dropbo x (ASU) /Work/Alias/ASU/Course /COE502/Labs/sample_ work/lab2/fl_student_s urvey_modified.sav Syntax Resources Active Dataset Filter Weight Split File N of Rows in Working Data File Processor Time Elapsed Time DataSet2 /PIE=COUNT BY college_gpa /TITLE='College GPA'. 00:00: :00:01.00 Page 1
2 College GPA College GPA STRING CGPA_interval (A8). RECODE college_gpa (0 thru 2.99='below 3.0') (3 thru 3.499='3.0 to 3.49') (3.5 thru 5='3.5 or '+ 'above') INTO CGPA_interval. >Warning # 4684 in column 19. Text: CGPA_interval >On the RECODE command, the list of variables following the keyword INTO >includes a string variable which is not of sufficient width to accept the >longest string value generated by the value specifications. Long values will >be truncated to the length of the variables. EXECUTE. X CHART=[POINT] BY college_gpa[s] /DISPLAY DOT=ASYMMETRIC /TITLES TITLE='College GPA'. XGraph Page 2
3 Notes Output Created Comments Input Data 13-FEB :56:44 /Users/yizheng/Dropbo x (ASU) /Work/Alias/ASU/Course /COE502/Labs/sample_ work/lab2/fl_student_s urvey_modified.sav Syntax Resources Active Dataset Filter Weight Split File N of Rows in Working Data File Processor Time Elapsed Time DataSet2 X CHART= [POINT] BY college_gpa [s] /DISPLAY DOT=ASYMMETRIC /TITLES TITLE='College GPA'. 00:00: :00:00.00 Page 3
4 College GPA College GPA /PIE=COUNT BY CGPA_interval /TITLE='College GPA'. Graph Page 4
5 Notes Output Created Comments Input Data 13-FEB :57:27 /Users/yizheng/Dropbo x (ASU) /Work/Alias/ASU/Course /COE502/Labs/sample_ work/lab2/fl_student_s urvey_modified.sav Syntax Resources Active Dataset Filter Weight Split File N of Rows in Working Data File Processor Time Elapsed Time DataSet2 /PIE=COUNT BY CGPA_interval /TITLE='College GPA'. 00:00: :00:00.00 Page 5
6 3.3% College GPA College GPA interval 3.0 to or a below % 58.3% /BAR(GROUPED)=COUNT BY sports BY gender /TITLE='Number of hours of sports by gender'. Graph Page 6
7 Notes Output Created Comments Input Data 13-FEB :03:00 /Users/yizheng/Dropbo x (ASU) /Work/Alias/ASU/Course /COE502/Labs/sample_ work/lab2/fl_student_s urvey_modified.sav Syntax Resources Active Dataset Filter Weight Split File N of Rows in Working Data File Processor Time Elapsed Time DataSet2 /BAR(GROUPED) =COUNT BY sports BY gender /TITLE='Number of hours of sports by gender'. 00:00: :00:00.00 Page 7
8 8 Number of hours of sports by gender Gender female male 6 Count Number of hours of physical exerise per week EXAMINE VARIABLES=sports BY gender /PLOT=BOXPLOT /STATISTICS=NONE /NOTOTAL. Explore Page 8
9 Notes Output Created Comments Input Missing Value Handling Syntax Resources Data Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used Processor Time Elapsed Time 13-FEB :05:23 /Users/yizheng/Dropbo x (ASU) /Work/Alias/ASU/Course /COE502/Labs/sample_ work/lab2/fl_student_s urvey_modified.sav DataSet2 User-defined missing values for dependent variables are treated as missing. Statistics are based on cases with no missing values for any dependent variable or factor used. EXAMINE VARIABLES=sports BY gender /PLOT=BOXPLOT /STATISTICS=NONE /NOTOTAL. 00:00: :00:00.00 Gender Case Processing Summary Number of hours of physical exerise per week Gender female male Cases Valid Missing Total N Percent N Percent N % 0 0.0% % 0 0.0% 29 Page 9
10 Case Processing Summary Number of hours of physical exerise per week Gender female male Cases Total Percent 100.0% 100.0% Number of hours of physical exerise per week Number of hours of physical exerise per week female Gender male X CHART=[HISTOBAR] BY college_gpa[s] BY gender[c] /COORDINATE SPLIT=YES /BIN START=AUTO SIZE=AUTO. XGraph Page 10
11 Notes Output Created Comments Input Data 13-FEB :08:34 /Users/yizheng/Dropbo x (ASU) /Work/Alias/ASU/Course /COE502/Labs/sample_ work/lab2/fl_student_s urvey_modified.sav Syntax Active Dataset Filter Weight Split File N of Rows in Working Data File DataSet2 X CHART= [HISTOBAR] BY college_gpa[s] BY gender[c] /COORDINATE SPLIT=YES /BIN START=AUTO SIZE=AUTO. Resources Processor Time Elapsed Time 00:00: :00:01.00 Page 11
12 Gender female male College GPA College GPA Frequency /BAR(GROUPED)=COUNT BY vegetarian BY life_after_death /TITLE='Belief in life after death by vegetarian'. Graph Page 12
13 Notes Output Created Comments Input Data 13-FEB :59:33 /Users/yizheng/Dropbo x (ASU) /Work/Alias/ASU/Course /COE502/Labs/sample_ work/lab2/fl_student_s urvey_modified.sav Syntax Resources Active Dataset Filter Weight Split File N of Rows in Working Data File Processor Time Elapsed Time DataSet2 /BAR(GROUPED) =COUNT BY vegetarian BY life_after_death /TITLE='Belief in life after death by vegetarian'. 00:00: :00:00.00 Page 13
14 30 Belief in life after death by vegetarian Believe in life after death no uncertain yes 20 Count 10 0 no Are you a vegetarian? yes /BAR(GROUPED)=PCT BY life_after_deathby vegetarian /TITLE='Vegetarian by belief in life after death'. Graph Page 14
15 Notes Output Created Comments Input Data 13-FEB :27:29 /Users/yizheng/Dropbo x (ASU) /Work/Alias/ASU/Course /COE502/Labs/sample_ work/lab2/fl_student_s urvey_modified.sav Syntax Resources Active Dataset Filter Weight Split File N of Rows in Working Data File Processor Time Elapsed Time DataSet2 /BAR(GROUPED)=PCT BY life_after_death BY vegetarian /TITLE='Vegetarian by belief in life after death'. 00:00: :00:00.00 Page 15
16 .0% Vegetarian by belief in life after death Are you a vegetarian? no yes 50.0% 40.0% Percent 30.0% 20.0% 10.0%.0% no uncertain yes Believe in life after death Page 16
Basic Medical Statistics Course
Basic Medical Statistics Course S0 SPSS Intro November 2013 Wilma Heemsbergen w.heemsbergen@nki.nl 1 13.00 ~ 15.30 Database (20 min) SPSS (40 min) Short break Exercise (60 min) This Afternoon During the
More informationBasic Medical Statistics Course
Basic Medical Statistics Course S0 SPSS Intro December 2014 Wilma Heemsbergen w.heemsbergen@nki.nl This Afternoon 13.00 ~ 15.00 SPSS lecture Short break Exercise 2 Database Example 3 Types of data Type
More informationRegression. Page 1. Notes. Output Created Comments Data. 26-Mar :31:18. Input. C:\Documents and Settings\BuroK\Desktop\Data Sets\Prestige.
GET FILE='C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav'. GET FILE='E:\MacEwan\Teaching\Stat252\Data\SPSS_data\MENTALID.sav'. DATASET ACTIVATE DataSet1. DATASET CLOSE DataSet2. GET FILE='E:\MacEwan\Teaching\Stat252\Data\SPSS_data\survey_part.sav'.
More informationDescriptives. Graph. [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav
GET FILE='C:\Documents and Settings\BuroK\Desktop\Prestige.sav'. DESCRIPTIVES VARIABLES=prestige education income women /STATISTICS=MEAN STDDEV MIN MAX. Descriptives Input Missing Value Handling Resources
More informationIntroduction to SPSS Edward A. Greenberg, PhD
Introduction to SPSS Edward A. Greenberg, PhD ASU HEALTH SOLUTIONS DATA LAB JANUARY 7, 2013 Files for this workshop Files can be downloaded from: http://www.public.asu.edu/~eagle/spss or (with less typing):
More informationFREQUENCIES VARIABLES=CAT_MSDS /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE /ORDER=ANALYSIS.
1. Uji Univariat FREQUENCIES VARIABLES=CAT_MSDS /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE /ORDER=ANALYSIS. Frequencies Notes Output Created 31-MAY-2017 20:53:29 Comments Input Data Active Dataset
More informationCrosstabs Notes Output Created 17-Mai :40:54 Comments Input
Crosstabs Notes Output Created 17-Mai-2011 01:40:54 Comments Input Data /Users/corinnahornei/Desktop/spss table.sav Active Dataset DatenSet3 Filter Weight Split File N of Rows in Working 189 Data File
More informationFrequency Tables. Chapter 500. Introduction. Frequency Tables. Types of Categorical Variables. Data Structure. Missing Values
Chapter 500 Introduction This procedure produces tables of frequency counts and percentages for categorical and continuous variables. This procedure serves as a summary reporting tool and is often used
More informationIENG484 Quality Engineering Lab 1 RESEARCH ASSISTANT SHADI BOLOUKIFAR
IENG484 Quality Engineering Lab 1 RESEARCH ASSISTANT SHADI BOLOUKIFAR SPSS (Statistical package for social science) Originally is acronym of Statistical Package for the Social Science but, now it stands
More informationSurviving SPSS.
Surviving SPSS http://dataservices.gmu.edu/workshops/spss http://dataservices.gmu.edu/software/spss Debby Kermer George Mason University Libraries Data Services Research Consultant Mason Data Services
More informationIBMSPSSSTATL1P: IBM SPSS Statistics Level 1
SPSS IBMSPSSSTATL1P IBMSPSSSTATL1P: IBM SPSS Statistics Level 1 Version: 4.4 QUESTION NO: 1 Which statement concerning IBM SPSS Statistics application windows is correct? A. At least one Data Editor window
More information10/5/2017 MIST.6060 Business Intelligence and Data Mining 1. Nearest Neighbors. In a p-dimensional space, the Euclidean distance between two records,
10/5/2017 MIST.6060 Business Intelligence and Data Mining 1 Distance Measures Nearest Neighbors In a p-dimensional space, the Euclidean distance between two records, a = a, a,..., a ) and b = b, b,...,
More informationIntroduction (SPSS) Opening SPSS Start All Programs SPSS Inc SPSS 21. SPSS Menus
Introduction (SPSS) SPSS is the acronym of Statistical Package for the Social Sciences. SPSS is one of the most popular statistical packages which can perform highly complex data manipulation and analysis
More informationMr. Kongmany Chaleunvong. GFMER - WHO - UNFPA - LAO PDR Training Course in Reproductive Health Research Vientiane, 22 October 2009
Mr. Kongmany Chaleunvong GFMER - WHO - UNFPA - LAO PDR Training Course in Reproductive Health Research Vientiane, 22 October 2009 1 Object of the Course Introduction to SPSS The basics of managing data
More informationThere are 3 main windows, and 3 main types of files, in SPSS: Data, Syntax, and Output.
U6310 Quantitative Techniques Lab - September 2001 Intro to SPSS SPSS works like this: You have a data set (either you create one or use an existing file such as the GSS). You choose analysis techniques
More informationDr Wan Nor Arifin Unit of Biostatistics and Research Methodology, Universiti Sains Malaysia.
Introduction to SPSS Dr Wan Nor Arifin Unit of Biostatistics and Research Methodology, Universiti Sains Malaysia. wnarifin@usm.my Outlines Introduction Data Editor Data View Variable View Menus Shortcut
More informationLAB 1 INSTRUCTIONS DESCRIBING AND DISPLAYING DATA
LAB 1 INSTRUCTIONS DESCRIBING AND DISPLAYING DATA This lab will assist you in learning how to summarize and display categorical and quantitative data in StatCrunch. In particular, you will learn how to
More informationRegression. Notes. Page 1 25-JAN :21:57. Output Created Comments
/STATISTICS COEFF OUTS CI(95) R ANOVA /CRITERIA=PIN(.05) POUT(.10) /DEPENDENT Favorability /METHOD=ENTER zcontemp ZAnxious6 zallcontact. Regression Notes Output Created Comments Input Missing Value Handling
More informationEcon Stata Tutorial I: Reading, Organizing and Describing Data. Sanjaya DeSilva
Econ 329 - Stata Tutorial I: Reading, Organizing and Describing Data Sanjaya DeSilva September 8, 2008 1 Basics When you open Stata, you will see four windows. 1. The Results window list all the commands
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 informationLSP 121. LSP 121 Math and Tech Literacy II. Topics. Quartiles. Intro to Statistics. More Descriptive Statistics
Greg Brewster, DePaul University Page 1 LSP 121 Math and Tech Literacy II More Descriptive Statistics Greg Brewster DePaul University Topics More Descriptive Statistics Quartiles Percentiles Categorical
More informationTYPES OF VARIABLES, STRUCTURE OF DATASETS, AND BASIC STATA LAYOUT
PRIMER FOR ACS OUTCOMES RESEARCH COURSE: TYPES OF VARIABLES, STRUCTURE OF DATASETS, AND BASIC STATA LAYOUT STEP 1: Install STATA statistical software. STEP 2: Read through this primer and complete the
More information4. Descriptive Statistics: Measures of Variability and Central Tendency
4. Descriptive Statistics: Measures of Variability and Central Tendency Objectives Calculate descriptive for continuous and categorical data Edit output tables Although measures of central tendency and
More informationOpening a Data File in SPSS. Defining Variables in SPSS
Opening a Data File in SPSS To open an existing SPSS file: 1. Click File Open Data. Go to the appropriate directory and find the name of the appropriate file. SPSS defaults to opening SPSS data files with
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 informationDAPRESY PRO 8.1 TECHNICAL RELEASE NOTES. April Technical Release Notes Dapresy Pro 8.1. Page 1 of 21
DAPRESY PRO 8.1 TECHNICAL RELEASE NOTES NO April 2013 www.dapresy.com Technical Release Notes Dapresy Pro 8.1 Page 1 of 21 Index 1 Introduction... 4 2 Storyteller reporting improvements... 5 2.1 Improved
More informationIntermediate SPSS. If you have an SPSS dataset (*.sav), you can open it in the following way:
Center for Teaching, Research & Learning Research Support Group at the Social Science Research lab American University, Washington, D.C. http://www.american.edu/provost/ctrl/ 202-885-3862 Intermediate
More informationStatCrunch. Background Material and Guided Tours. Tom Trollen. Division of Business and Computer Information Systems Scottsdale Community College
StatCrunch Background Material and Guided Tours Tom Trollen Division of Business and Computer Information Systems Scottsdale Community College Table of Contents INTRODUCTION... 1 STATCRUNCH... 1 OVERVIEW...
More informationA Demonstration of Qualtrics.com
A Demonstration of Qualtrics.com Online Survey Hosting and Reporting Brian Pickerill, Office of Institutional Effectiveness System Features Fully Web-based, no software to install Numerous Online Training
More informationAn Introduction to Minitab Statistics 529
An Introduction to Minitab Statistics 529 1 Introduction MINITAB is a computing package for performing simple statistical analyses. The current version on the PC is 15. MINITAB is no longer made for the
More informationYou will learn: The structure of the Stata interface How to open files in Stata How to modify variable and value labels How to manipulate variables
Jennie Murack You will learn: The structure of the Stata interface How to open files in Stata How to modify variable and value labels How to manipulate variables How to conduct basic descriptive statistics
More information22/10/16. Data Coding in SPSS. Data Coding in SPSS. Data Coding in SPSS. Data Coding in SPSS
DATA CODING IN SPSS STAFF TRAINING WORKSHOP March 28, 2017 Delivered by Dr. Director of Applied Economics Unit African Heritage Institution Enugu Nigeria To code data in SPSS, Lunch the SPSS The Data Editor
More informationTABEL DISTRIBUSI DAN HUBUNGAN LENGKUNG RAHANG DAN INDEKS FASIAL N MIN MAX MEAN SD
TABEL DISTRIBUSI DAN HUBUNGAN LENGKUNG RAHANG DAN INDEKS FASIAL Lengkung Indeks fasial rahang Euryprosopic mesoprosopic leptoprosopic Total Sig. n % n % n % n % 0,000 Narrow 0 0 0 0 15 32,6 15 32,6 Normal
More informationLab #3. Viewing Data in SAS. Tables in SAS. 171:161: Introduction to Biostatistics Breheny
171:161: Introduction to Biostatistics Breheny Lab #3 The focus of this lab will be on using SAS and R to provide you with summary statistics of different variables with a data set. We will look at both
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 informationUser Services Spring 2008 OBJECTIVES Introduction Getting Help Instructors
User Services Spring 2008 OBJECTIVES Use the Data Editor of SPSS 15.0 to to import data. Recode existing variables and compute new variables Use SPSS utilities and options Conduct basic statistical tests.
More informationIPS9 in R: Bootstrap Methods and Permutation Tests (Chapter 16)
IPS9 in R: Bootstrap Methods and Permutation Tests (Chapter 6) Bonnie Lin and Nicholas Horton (nhorton@amherst.edu) July, 8 Introduction and background These documents are intended to help describe how
More informationA Simple Guide to Using SPSS (Statistical Package for the. Introduction. Steps for Analyzing Data. Social Sciences) for Windows
A Simple Guide to Using SPSS (Statistical Package for the Social Sciences) for Windows Introduction ٢ Steps for Analyzing Data Enter the data Select the procedure and options Select the variables Run the
More informationPHPM 672/677 Lab #2: Variables & Conditionals Due date: Submit by 11:59pm Monday 2/5 with Assignment 2
PHPM 672/677 Lab #2: Variables & Conditionals Due date: Submit by 11:59pm Monday 2/5 with Assignment 2 Overview Most assignments will have a companion lab to help you learn the task and should cover similar
More informationElementary Statistics. Chapter 2 Review: Summarizing & Graphing Data
Name Elementary Statistics Date Period Chapter 2 Review: Summarizing & Graphing Data Quick Quiz p.74 #1-10 Use the following information to answer questions 1-3: When one is constructing a table representing
More informationLet s use Technology Use Data from Cycle 14 of the General Social Survey with Fathom for a data analysis project
Let s use Technology Use Data from Cycle 14 of the General Social Survey with Fathom for a data analysis project Data Content: Example: Who chats on-line most frequently? This Technology Use dataset in
More informationMHPE 494: Data Analysis. Welcome! The Analytic Process
MHPE 494: Data Analysis Alan Schwartz, PhD Department of Medical Education Memoona Hasnain,, MD, PhD, MHPE Department of Family Medicine College of Medicine University of Illinois at Chicago Welcome! Your
More information4) Discrete data can have an infinite number of values within a specific interval. Answer: FALSE Diff: 2 Keywords: discrete data Reference: Page 24
Business Statistics 1st Edition Donnelly Test Bank Full Download: http://testbanklive.com/download/business-statistics-1st-edition-donnelly-test-bank/ Business Statistics (Donnelly) Chapter 2 Displaying
More information2.3 Organizing Quantitative Data
2.3 Organizing Quantitative Data This section will focus on ways to organize quantitative data into tables, charts, and graphs. Quantitative data is organized by dividing the observations into classes
More information2.1 Objectives. Math Chapter 2. Chapter 2. Variable. Categorical Variable EXPLORING DATA WITH GRAPHS AND NUMERICAL SUMMARIES
EXPLORING DATA WITH GRAPHS AND NUMERICAL SUMMARIES Chapter 2 2.1 Objectives 2.1 What Are the Types of Data? www.managementscientist.org 1. Know the definitions of a. Variable b. Categorical versus quantitative
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 informationNCSS Statistical Software. Design Generator
Chapter 268 Introduction This program generates factorial, repeated measures, and split-plots designs with up to ten factors. The design is placed in the current database. Crossed Factors Two factors are
More informationStatistical Analysis Using Minitab
Statistical Analysis Using Minitab Part (1): Introduction to Using Minitab You can download Minitab from www.minitab.com. Detailed help is available here: https://www.minitab.com/uploadedfiles/documents/getting-started/minitab17_gettingstarted-en.pdf
More informationSPSS - Beginnings Data, Descriptive Statistics, Select cases, recode Structure SPSS has 3 different fields (windows) 1. Data window (double window). O
SPSS - Beginnings Data, Descriptive Statistics, Select cases, recode Structure SPSS has 3 different fields (windows) 1. Data window (double window). One can see a) data; b) Variable information. 2. Output
More informationYour Name: Section: INTRODUCTION TO STATISTICAL REASONING Computer Lab #4 Scatterplots and Regression
Your Name: Section: 36-201 INTRODUCTION TO STATISTICAL REASONING Computer Lab #4 Scatterplots and Regression Objectives: 1. To learn how to interpret scatterplots. Specifically you will investigate, using
More informationAt the end of the chapter, you will learn to: Present data in textual form. Construct different types of table and graphs
DATA PRESENTATION At the end of the chapter, you will learn to: Present data in textual form Construct different types of table and graphs Identify the characteristics of a good table and graph Identify
More informationAND NUMERICAL SUMMARIES. Chapter 2
EXPLORING DATA WITH GRAPHS AND NUMERICAL SUMMARIES Chapter 2 2.1 What Are the Types of Data? 2.1 Objectives www.managementscientist.org 1. Know the definitions of a. Variable b. Categorical versus quantitative
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 information2016 SPSS Workshop UBC Research Commons
" 2016 SPSS Workshop #2 @ UBC Research Commons Part 1: Data Management The Select Cases Command Menu: Data Select Cases 1. Option 1- randomly selecting cases Select Random sample of cases, click on Sample,
More informationDataSet2. <none> <none> <none>
GGraph Notes Output Created 09-Dec-0 07:50:6 Comments Input Active Dataset Filter Weight Split File DataSet Syntax Resources N of Rows in Working Data File Processor Time Elapsed Time 77 GGRAPH /GRAPHDATASET
More information74 Wyner Math Academy I Spring 2016
74 Wyner Math Academy I Spring 2016 CHAPTER EIGHT: SPREADSHEETS Review April 18 Test April 25 Spreadsheets are an extremely useful and versatile tool. Some basic knowledge allows many basic tasks to be
More informationMATH 117 Statistical Methods for Management I Chapter Two
Jubail University College MATH 117 Statistical Methods for Management I Chapter Two There are a wide variety of ways to summarize, organize, and present data: I. Tables 1. Distribution Table (Categorical
More informationExample1D.1.sas. * Procedures : ; * 1. print to show the dataset. ;
Example1D.1.sas * SAS example program 1D.1 ; * 1. Create a dataset called prob from the following data: ; * age prob lb ub ; * 24.25.20.31 ; * 36.26.21.32 ; * 48.28.24.33 ; * 60.31.28.36 ; * 72.35.32.39
More informationDepending on the computer you find yourself in front of, here s what you ll need to do to open SPSS.
1 SPSS 11.5 for Windows Introductory Assignment Material covered: Opening an existing SPSS data file, creating new data files, generating frequency distributions and descriptive statistics, obtaining printouts
More informationUnit 3, Activity 1, Vocabulary Self-Awareness Chart
Unit 3, Activity, Vocabulary Self-Awareness Chart Vocabulary Self-Awareness Chart Word + - Example Definition Relation Function Domain Range Graph Vertical line test F(x) input output independent dependent
More informationHow to extract suicide statistics by country from the. WHO Mortality Database Online Tool
Instructions for users How to extract suicide statistics by country from the WHO Mortality Database Online Tool This guide explains how to access suicide statistics and make graphs and tables, or export
More informationANSWERS -- Prep for Psyc350 Laboratory Final Statistics Part Prep a
ANSWERS -- Prep for Psyc350 Laboratory Final Statistics Part Prep a Put the following data into an spss data set: Be sure to include variable and value labels and missing value specifications for all variables
More informationGraphical Presentation for Statistical Data (Relevant to AAT Examination Paper 4: Business Economics and Financial Mathematics) Introduction
Graphical Presentation for Statistical Data (Relevant to AAT Examination Paper 4: Business Economics and Financial Mathematics) Y O Lam, SCOPE, City University of Hong Kong Introduction The most convenient
More informationAcaStat User Manual. Version 10 for Mac and Windows. Copyright 2018, AcaStat Software. All rights Reserved.
AcaStat User Manual Version 10 for Mac and Windows Copyright 2018, AcaStat Software. All rights Reserved. http://www.acastat.com Table of Contents NEW IN VERSION 10... 6 INTRODUCTION... 7 GETTING HELP...
More informationhttps://testbankreal.com/download/business-statistics-10th-edition-groebnertest-bank/ Business Statistics 10th Edition Groebner SOLUTIONS MANUAL
Business Statistics 10th Edition Groebner TEST BANK Business Statistics 10th Edition Groebner SOLUTIONS MANUAL Full download at: Full download at: https://testbankreal.com/download/business-statistics-10th-edition-groebnertest-bank/
More informationMake sure to keep all graphs in same excel file as your measures.
Project Part 2 Graphs. I. Use Excel to make bar graph for questions 1, and 5. II. Use Excel to make histograms for questions 2, and 3. III. Use Excel to make pie graphs for questions 4, and 6. IV. Use
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 information* Average Marginal Effects Not Available in CSLOGISTIC Nor is GOF test like mlogitgof of Stata.
ASDA2 ANALYSIS EXAMPLE REPLICATION SPSS C9 * Syntax for Analysis Example Replication C9 * get NCSR data. GET SAS DATA='P:\ASDA 2\Data sets\ncsr\ncsr_sub_5apr2017.sas7bdat'. DATASET NAME DataSet2 WINDOW=FRONT.
More informationWhat if Analysis, Charting, and Working with Large Worksheets. Chapter 3
What if Analysis, Charting, and Working with Large Worksheets Chapter 3 What we will cover Rotating Text Using the fill handle to create a series of month names Copying and pasting What we will cover Inserting,
More informationStatistics for Managers Using Microsoft Excel, 7e (Levine) Chapter 2 Organizing and Visualizing Data
Statistics for Managers Using Microsoft Excel, 7e (Levine) Chapter 2 Organizing and Visualizing Data 1) A summary measure that is computed to describe a characteristic from only a sample of the population
More informationChapter 6: DESCRIPTIVE STATISTICS
Chapter 6: DESCRIPTIVE STATISTICS Random Sampling Numerical Summaries Stem-n-Leaf plots Histograms, and Box plots Time Sequence Plots Normal Probability Plots Sections 6-1 to 6-5, and 6-7 Random Sampling
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 informationLab 3 - Introduction to Graphics
Lab 3 - Introduction to Graphics Spring 2018 Contents 1 Graphics 2 1.1 Plots in one dimension................................... 2 1.2 Plots in two dimensions: two-way plots.......................... 5
More informationNCSS Statistical Software. The Data Window
Chapter 103 Introduction This chapter discusses the operation of the NCSS Data Window, one of the four main windows of the NCSS statistical analysis system. The other three windows are the Output Window,
More informationSAGE Publications. Data Modifications. 3.1 Introduction 3.2 GET. Function. Structure
Data Modifications 3 3.1 Introduction This chapter deals with commands for modifying data files. Most of these commands are common applications and are widely used in research. They will be addressed here
More informationShow how the LG-Syntax can be generated from a GUI model. Modify the LG-Equations to specify a different LC regression model
Tutorial #S1: Getting Started with LG-Syntax DemoData = 'conjoint.sav' This tutorial introduces the use of the LG-Syntax module, an add-on to the Advanced version of Latent GOLD. In this tutorial we utilize
More informationIslamiya English School, Abu Dhabi, U. A. E. Microsoft Access Exercises
Exercise: 1 1. Create a blank database with your name 2. Create a table by Entering Data 3. Fill the table with the data provided below 4. Save the table as "Students" Note: Click on NO when MS-Access
More information1 Introduction. 1.1 What is Statistics?
1 Introduction 1.1 What is Statistics? MATH1015 Biostatistics Week 1 Statistics is a scientific study of numerical data based on natural phenomena. It is also the science of collecting, organising, interpreting
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 informationResearch Methods for Business and Management. Session 8a- Analyzing Quantitative Data- using SPSS 16 Andre Samuel
Research Methods for Business and Management Session 8a- Analyzing Quantitative Data- using SPSS 16 Andre Samuel A Simple Example- Gym Purpose of Questionnaire- to determine the participants involvement
More informationSTAT10010 Introductory Statistics Lab 2
STAT10010 Introductory Statistics Lab 2 1. Aims of Lab 2 By the end of this lab you will be able to: i. Recognize the type of recorded data. ii. iii. iv. Construct summaries of recorded variables. Calculate
More informationKANRI DISTANCE CALCULATOR. User Guide v2.4.9
KANRI DISTANCE CALCULATOR User Guide v2.4.9 KANRI DISTANCE CALCULATORTM FLOW Participants Input File Correlation Distance Type? Generate Target Profile General Target Define Target Profile Calculate Off-Target
More informationSPSS Statistics Patch Description
SPSS Statistics 18.0.1 Patch Description Product: SPSS Statistics 18.0.1 Date: December 8, 2009 Description: This patch resolves the following issues: 1. A problem with reading large SAS data files was
More informationDigital literacy training
Digital literacy training SPSS Introduction 2018 ANU Library anulib.anu.edu.au/training digital.literacy@anu.edu.au Table of Contents To start SPSS... 1 Import Excel files... 1 The Data View window...
More informationFrequency Distributions and Descriptive Statistics in SPS
230 Combs Building 859.622.3050 studentcomputing.eku.edu studentcomputing@eku.edu Frequency Distributions and Descriptive Statistics in SPSS In this tutorial, we re going to work through a sample problem
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 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 informationCyberComm Pro Data Acquisition Software Installation & User Guide
CyberComm Pro 2.2.3 Data Acquisition Software Installation & User Guide ph 1100 and ph 2100 Bench ph and Bench ph/ion Meter Technology Made Easy... 68X090822 rev 1 Aug 2002 2 PREFACE Thank you for selecting
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 informationCHAPTER 2: ORGANIZING AND VISUALIZING VARIABLES
Organizing and Visualizing Variables 2-1 CHAPTER 2: ORGANIZING AND VISUALIZING VARIABLES SCENARIO 2-1 An insurance company evaluates many numerical variables about a person before deciding on an appropriate
More informationINTRODUCTORY LAB INTRODUCTION TO STATCRUNCH 5.0
INTRODUCTORY LAB INTRODUCTION TO STATCRUNCH 5.0 StatCrunch is a free web-based statistical software package containing all statistical features covered in introductory statistics courses. It is very easy
More informationINTRODUCTORY SPSS. Dr Feroz Mahomed Swalaha x2689
INTRODUCTORY SPSS Dr Feroz Mahomed Swalaha fswalaha@dut.ac.za x2689 1 Statistics (the systematic collection and display of numerical data) is the most abused area of numeracy. 97% of statistics are made
More informationLecture 31 Sections 9.4. Tue, Mar 17, 2009
s for s for Lecture 31 Sections 9.4 Hampden-Sydney College Tue, Mar 17, 2009 Outline s for 1 2 3 4 5 6 7 s for Exercise 9.17, page 582. It is believed that 20% of all university faculty would be willing
More informationCyber Defense 2019 Summer Application
Cyber Defense 2019 Summer Application Cyber Defense Training Camp is an advanced level 7 day residential summer program for rising high school juniors and seniors. Dates: 3:00pm, Sunday, July 7 12:00pm,
More informationINTRODUCTION TO SPSS OUTLINE 6/17/2013. Assoc. Prof. Dr. Md. Mujibur Rahman Room No. BN Phone:
INTRODUCTION TO SPSS Assoc. Prof. Dr. Md. Mujibur Rahman Room No. BN-0-024 Phone: 89287269 E-mail: mujibur@uniten.edu.my OUTLINE About the four-windows in SPSS The basics of managing data files The basic
More informationCS1100: Excel Lab 1. Problem 1 (25 Points) Filtering and Summarizing Data
CS1100: Excel Lab 1 Filtering and Summarizing Data To complete this assignment you must submit an electronic copy to BlackBoard by the due date. Use the data in the starter file. In this lab you are asked
More informationMean Tests & X 2 Parametric vs Nonparametric Errors Selection of a Statistical Test SW242
Mean Tests & X 2 Parametric vs Nonparametric Errors Selection of a Statistical Test SW242 Creation & Description of a Data Set * 4 Levels of Measurement * Nominal, ordinal, interval, ratio * Variable Types
More informationAT&T Advertising SDK Developer Guide for ios
AT&T Advertising SDK Developer Guide for ios Publication Date: September 24 th 2013 Legal Disclaimer This document and the information contained herein (collectively, the "Information") is provided to
More informationCharacteristics of Students in the Cisco Networking Academy: Attributes, Abilities, and Aspirations
Cisco Networking Academy Evaluation Project White Paper WP 05-02 October 2005 Characteristics of Students in the Cisco Networking Academy: Attributes, Abilities, and Aspirations Alan Dennis Semiral Oncu
More informationHow to Use a Statistical Package
APPENDIX D How to Use a Statistical Package Candace M. Evans, Lisa M. Gilman, Jeffrey Xavier, Joan Saxton Weber Computers and statistical software such as the Statistical Package for the Social Sciences
More information