Coursework 1: Data Analysis Using IBM SPSS By jtrene7@gmail.com Course Instructor Institution City‚ State Date Question 1 Part A: Descriptive Analyses on the Variables In this section‚ descriptive analysis of the variables is made in accordance with the level of measurement of the variables. In this context‚ the variables have been evaluated at the four distinct levels‚ which include nominal‚ ordinal‚ interval‚ and ratio (Frankfort-Nachmias & Nachmias
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International Journal of Management & Information Systems – Third Quarter 2010 Volume 14‚ Number 3 Decision Tree Induction & Clustering Techniques In SAS Enterprise Miner‚ SPSS Clementine‚ And IBM Intelligent Miner – A Comparative Analysis Abdullah M. Al Ghoson‚ Virginia Commonwealth University‚ USA ABSTRACT Decision tree induction and Clustering are two of the most prevalent data mining techniques used separately or together in many business applications. Most commercial data mining software
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SPSS Application in Management & Data Analysis Q1 : What is SPSS? Discuss the origin and features of SPSS. Q2: Write down the steps to read the text file in SPSS. Q3: What is cases and variable in SPSS? Q4: Write down the rules for declaration of variables. Q5: Write down the steps to read the excel file in SPSS. Q6: What is a categorical variable? Discuss with example. Q7: Discuss the data type available in SPSS. Which data type is used for analysis? Q8: What is a use of Label in SPSS?
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ISDATA ANALYSIS USING SPSS Overview • Variable • Types of variables Qualitative Quantitative • Reliability and Validity • Hypothesis Testing • Type I and Type II Errors • Significance Level • SPSS • Data Analysis Data Analysis Using SPSS Dr. Nelson Michael J. 2 Variable • A characteristic of an individual or object that can be measured • Types: Qualitative and Quantitative Data Analysis Using SPSS Dr. Nelson Michael J. 3 Types of Variables • Qualitative variables:
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Linear Regression Models 1 SPSS for Windows® Intermediate & Advanced Applied Statistics Zayed University Office of Research SPSS for Windows® Workshop Series Presented by Dr. Maher Khelifa Associate Professor Department of Humanities and Social Sciences College of Arts and Sciences © Dr. Maher Khelifa 2 Bi-variate Linear Regression (Simple Linear Regression) © Dr. Maher Khelifa Understanding Bivariate Linear Regression 3 Many statistical indices summarize information about
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decision. One of the most powerful statistical software is SAS. SAS is an abbreviation for statistical analysis system . In this short article I will try to view in brief what SAS software is and its advantage over the other leading statistical software SPSS. According to the official web site of SAS‚ the software developed in 1976 by one of the independent software vendors SAS institute of Cary in North Carolina (Institute). SAS is a comprehensive data analysis software . It is a tool for managers
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(Research Methods II): Factor Analysis on SPSS Factor Analysis Using SPSS The theory of factor analysis was described in your lecture‚ or read Field (2005) Chapter 15. Example Factor analysis is frequently used to develop questionnaires: after all if you want to measure an ability or trait‚ you need to ensure that the questions asked relate to the construct that you intend to measure. I have noticed that a lot of students become very stressed about SPSS. Therefore I wanted to design a questionnaire
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Standard deviation: positive square root of variance SPSS Software to Measure of Central Tendencies IBM SPSS Statistics (formerly known as Statistical Package for the Social Sciences) is a popular program for statistical analysis. The base software includes descriptive statistics‚ bivariate statistics‚ prediction for numerical outcomes and identifying groups. Frequency table: can give you an idea about the spread of your data in a glance. SPSS uses the Frequency command to populate frequency tables
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Two-way ANOVA using SPSS Introduction The two-way ANOVA compares the mean differences between groups that have been split on two independent variables (called factors). You need two independent‚ categorical variables and one continuous‚ dependent variable. Assumptions * Dependent variable is either interval or ratio (continuous) * The dependent variable is approximately normally distributed for each combination of levels of the two independent variables. * Homogeneity of variances
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Manuscript ID: CO/2003/022870 Specialty Area: Cost & Schedule Audience: Researchers PROBABILITY OF PROJECT COMPLETION USING STOCHASTIC PROJECT SCHEDULING SIMULATION (SPSS) Dong-Eun Lee1 ABSTRACT This paper introduces a software‚ Stochastic Project Scheduling Simulation (SPSS)‚ developed to measure the probability to complete a project in a certain time specified by the user. To deliver a project by a completion date committed to in a contract‚ a number of activities need to be carried out. The time
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