Table of Contents
Preface
History of the Statistics Project
History of the Handbook for a Statistics Project
Getting Started
Purpose of the Project
Project Parameters
Steps in doing the project
Selection of a Central Idea
Keep it simple.
Keep the topic on things that are interesting to you.
Plan ahead.
Selection and Measurement of Variables
Sampling from the Population
Collection of the Data
Rubric for Evaluating Student Statistics Project Proposal
Statistical Analysis by Computer
Organizing the Data - The Data Matrix
Creating Computer Files
Compute the following using a statistical package
A correlation matrix with the variables Age, Gender, Appren, Ward, and Client
Contingency tables of Gender and Rank with Support and Appren
Means and standard deviations of Faculty and Budget broken down by Gender and Support
Writing the Results
Introduction
Methods
Results
Analysis of Individual Variables
(a) Nominal Variables
(b) Interval or Ratio Variables
Basic Results of Role of Students in University Study
(a) Both Variables are nominal
(b) One Nominal and One Interval or Ratio Variable
(c) Both Variables are Interval or Ratio
Discussion
Example Projects
Cancer Nutrition Progam Attendance - Kelly Paulie
Barriers to Physical Activity in the Community of Cold Spring, MN - Marcia Scherer
To the NICU: Exploring Admission Data - Rachel E. Kopsas
Attitudes of Individuals with Disabilities: A Comparative Look at Quality of Life Perceptions - Jerry D Kendall
Patient Acuity in the ER - Nichole Rodrock
Attitudes toward Homosexuality - Amber Asher
Gender Difference and Dieting - Keiko Matsuda
How Responsible Are You? - Rachel Murray
Additional Web Resources
Introductory Statistics: Concepts, Models, and Applications 3rd edition - 2016
Multivariate Statistics: Concepts, Models, and Applications 2nd edition - 1997
Probability Calculator
Index
ancestory tree
hbk01.1.8
anonymous
hbk03.3.10
Anova table and eta
hbk02.2.11
attitude scales
hbk01.1.16
bar graph
hbk03.3.16
big data
hbk00.0.3
central theme
hbk01.1.11
central theme
hbk03.3.2
Chi-square
hbk02.2.9
Compare Means
hbk02.2.10
contingency table
hbk03.3.25
contingency table
hbk02.2.8
correlation matrix
hbk02.2.7
correlation matrix
hbk03.3.29
CROSSTABS command
hbk03.3.26
data collection
hbk01.1.25
data matrix
hbk02.2.1
DESCRIPTIVES command
hbk03.3.19
detailed raw data
hbk02.2.4
dichotomous nominal variables
hbk03.3.28
dichotomous
hbk03.3.23
discussion section
hbk03.3.32
existing data
hbk01.1.24
expensive
hbk01.1.7
explicit theory
hbk01.1.14
frequency polygon
hbk03.3.20
graphic
hbk03.3.15
histogram
hbk03.3.21
hypotheses
hbk03.3.3
hypotheses
hbk03.3.33
implications
hbk03.3.34
implicit theory
hbk01.1.15
interval
hbk03.3.27
intrinsic interest
hbk01.1.6
introduction
hbk03.3.1
mainframe computer
hbk00.0.2
medical profession
hbk01.1.9
nominal
hbk03.3.13
participants
hbk03.3.5
pie chart
hbk03.3.17
population
hbk01.1.17
probability value
hbk03.3.12
procedure
hbk03.3.9
project proposal
hbk01.1.5
purpose
hbk01.1.2
questionnaire
hbk03.3.8
random sample
hbk01.1.19
random sample
hbk03.3.7
random SPSS output
hbk03.3.31
record
hbk02.2.2
records
hbk03.3.6
relationships between variables
hbk03.3.24
representative sample
hbk01.1.20
sampling distribution
hbk01.1.18
scatterplot
hbk03.3.30
selecting a topic
hbk01.1.4
significance level
hbk03.3.11
SPSS variable names
hbk03.3.22
standard scores
hbk02.2.3
story
hbk01.1.1
student portfolio
hbk00.0.1
subjects
hbk03.3.4
table of means and standard deviations
hbk03.3.18
tabular
hbk03.3.14
testable hypotheses
hbk01.1.13
theory
hbk01.1.12
upper limit
hbk01.1.3
value labels
hbk02.2.6
variable labels
hbk02.2.5
List of Figures
Role of the Student Survey
The Roles Data File in the SPSS Data Editor
Viewing Value Labels in the SPSS Data Editor
SPSS Comands to Find a Correlation Matrix
SPSS Correlation Command Output
SPSS Commands to Find Contingency Tables
SPSS Contingency Table and Chi-square Output
SPSS Commands to Find Breakdown Tables
SPSS Breakdown Table Means Output
SPSS Breakdown Table ANOVA Output
Roles correlation matrix
Tables
Rubric for Project Proposal
Data Table
Data Matrix
Roles Data Matrix
Basic Results
Contingency Tables
Means and Standard Deviations of Variables By Gender
Definitions
mainframe computer
-
central computers run by large organizations for critical applications, such as inventory and payroll
big data
-
extremely large data sets
decender
-
the part of the letters such as "g" and "p" that appear below the line
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HANDBOOK FOR A STATISTICS PROJECT 3rd Web Edition
1st Edition 1979
1st Web Edition 1997
2nd Web Edition 2006
3rd Web Edition 2016
David W. Stockburger
Missouri State University
@Copyright 2016 by David W. Stockburger
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