1. What were the mean, mode, median, range, and standard deviation
computed to be for the Santa Fe SPSS data set? Interpret those numbers
within the context of the Santa Fe questionnaire used in the research.
What does a mean of 3 tell us about the freque
1
USING SPSS VERSION 16 WITH THE SANTA FE GRILL DATABASE
The SPSS software package is user-friendly and enables you to easily learn the
various statistical techniques without having to use formulas and calculate with
numbers. The approach is a Windows-bas
GET
FILE='C:\Users\Ranran\Downloads\7278SantaFeGrillSPSSdataSet.sav'.
DATASET NAME DataSet1 WINDOW=FRONT.
FREQUENCIES VARIABLES=x25
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created
29-MAR-2014 16:45:05
Comments
Input
Data
C:\Users\Ranran\Downloads\7278Sa
Chapter3
1. Briefly explain the major uses of factor analysis.
Briefly explain the difference between component analysis and common
factor analysis.
Briefly explain the difference between factor analysis techniques and other
multivariate techniques.
Brief
Module 1
1. Describe the process of data validation. Discuss the issues of fraud, screening,
procedure, completeness, and courtesy. 100 word minimum
Validations are done to make sure that the data which was recorded from the observations
during the experi
HW J
Chapter 9 Multidimensional Scaling
1. Define multidimensional scaling and describe how it is performed. 100 word minimum
Multidimensional scaling (MDS) also known as perceptual mapping, is a procedure that allows a
researcher to determine the perceiv
Chapter 5
1. Discuss when you would use discriminant analysis instead of multiple regression analysis.
Explain the difference between metric and nonmetric variables.
In choosing an appropriate analytical technique, we sometimes encounter a problem that in
BUSN 7278 Homework D
Module 1
1. Describe the process of data validation. Discuss the issues of fraud, screening, procedure,
completeness, and courtesy. 100 word minimum
Data validation is defined as the inspection of all the collected data for completene
Module 1
1. Describe the process of data validation. Discuss the issues of fraud, screening, procedure,
completeness, and courtesy. 100 word minimum
Data validation determines if the surveys interview or observations were conducted correctly and free
of i
1 Chapter 8. Discuss nonverbal behavior, linguistic behavior, extralinguistic
behavior, and spatial relationships. Page 191. 100 word minimum
Nonverbal behavior includes body movement, motor expressions and
possibly glances. Body movement can be studied
HW F Chapter 6
1. Discuss the 3 assumptions for the use of MANOVA.
The univariate test procedures of ANOVA are valid in a statistical sense if we assume that the
dependent variable is normally distributed, the groups are independent in their responses on
HW K
Chapter 11: Confirmatory Factor Analysis
1) Distinguish between exploratory factor analysis and confirmatory factor analysis.
CFA cannot be conducted approximately unless the researcher can specify both the number of
constructs that exists within dat
Chapter 8
HW H
1. Define cluster analysis, its roles, and its limitations. 100 word minimum
Cluster analysis is a group of multivariate techniques whose primary purpose is to group objects
based on the characteristics they possess. Cluster analysis classi
Homework #G
Chapter 7
1. Discuss fully the use of conjoint analysis by managers.
Conjoint analysis is a multivariate technique developed specifically to understand how
respondents develop preferences for objects (projects, services, or ideas). The flexibi
1
USING SPSS VERSION 16 WITH THE SANTA FE GRILL DATABASE
The SPSS software package is user-friendly and enables you to easily learn the
various statistical techniques without having to use formulas and calculate with
numbers. The approach is a Windows-bas
Chapter9MultidimensionalScaling
1. Definemultidimensionalscalinganddescribehowitisperformed.100word
minimum
Multidimensional scaling, also known as perceptual mapping, is a procedure that
enables a researcher to determine the perceived relative image of a
1. Discuss fully the use of conjoint analysis by managers.
Conjoint analysis places more emphasis on the ability of the researcher or manager to
theorize about the behavior of choice than it does on analytical technique.
Conjoint analysis is a multivariat
F HW
View
Chapter 6 MANOVA
1. Discuss the 3 assumptions for the use of MANOVA.
First of all, multivariate analysis of variance (MANOVA) is an extension of
analysis of variance (ANOVA) to accommodate more than one dependent
variable. It is a dependence tec
Chapter 4
1. What is regression analysis? Briefly explain the correlation coefficient,
collinearity, and multicollinearity? Breifly explain when and why should multiple
regression be used? What level of statistical significance and R2 would justify use
of
Chapter one: Introduction
Multivariate analysis: all statistical techniques that simultaneously analyze multiple measurements on
individuals or objects under investigation.
- Any simultaneous analysis or more than 2 variables
- Extensions of univariate (a
HW D
Chapter 4
1. What is regression analysis? Briefly explain the correlation coefficient, collinearity, and
multicollinearity? Briefly explain when and why should multiple regression be used? What
level of statistical significance and R2 would justify u
Homework #G
Chapter 7
1. Discuss fully the use of conjoint analysis by managers.
Conjoint analysis is a multivariate technique developed specifically to understand how
respondents develop preferences for objects (projects, services, or ideas). The flexibi
Elisee Joseph
Business 7278: Applied Data Analysis
Term Assignment
1.
Describe the process of data validation. Discuss the issue of
fraud, screening, procedure, completeness and courtesy.
Data validation is one of the first steps of data preparation.
The
Elisee Joseph
Business 7278: Applied Data Analysis
Homework D: Chapter 4
1. What is regression analysis? Briefly explain the correlation coefficient, collinearity and
multicollinearity? Briefly explain when and why should multiple regression be used?
What
Elisee Joseph
Business 7278- Applied Data Analysis
Homework G: SPSS Modeling
SPSS Predictive Modeling
1. Summarize the introduction on page 3. Why data mining? What is data mining?
The purpose of the paper is to show how data mining help tax agencies ach
Busn 7276, Concept Design, Spring 2016
Dr. Viju Raghupathi
PROJECT CONCEPT DESIGN
The project is divided into 2 phases:
Phase 1: Proposal (pre-requisite = Concept design)
Phase 2: Prototype implementation.
INSTRUCTIONS
Concept design is the pre-proposal d
Chapter 6 MANOVA 100 word minimum per question.
1. Discuss the 3 assumptions for the use of MANOVA.
2. Discuss the the HBAT or HATCO case study MANOVA findings.
All the answers are in the textbook. Do not use a source other than the
textbook.
Module 6
Rea