Bryan Hamilton

Six Sigma Expert and Statistician Bryan HamiltonIndividual tutoring provides you with an introduction to the basic methods of collecting, organizing, and analyzing data. You will learn a variety of descriptive and inferential statistical techniques. The inferential techniques include an emphasis on statistical inference (e.g., t tests, F tests, and selected non-parametric statistics).

Statistical Analysis

Bryan conducts many different parametric and non-parametric statistical analyses to meet your needs.

  • ANOVA (Analysis Of Variance)
  • Regression (Multiple, Logistic, Ordinal, Hierarchical And More)
  • Bivariate Correlation
  • Chi-Square
  • T-Tests
  • Discriminate Analysis
  • Factor Analysis
  • MANOVA (Multivariate Analysis Of Variance)
  • MANCOVA (Multivariate Analysis Of Covariance)
  • Reliability Analysis
  • Structural Equation Modelling
  • Test For Moderation And Or Mediation

Training for Six Sigma Certification

Six Sigma Certification Training for Black, Green, and Yellow Belt Candidates

Bryan is a Certified Lean Six Sigma Black Belt and can help you prepare for your test. He uses the DMAIC project methodology, which has five phases. He will take you through the methodology and help you learn to understand and apply it:

  1. Define the problem, the voice of the customer, and the project goals.
  2. Measure key aspects of the current process and collect relevant data.
  3. Analyze the data to investigate and verify cause-and-effect relationships. Determine what the relationships are, and attempt to ensure that all factors have been considered. Seek out the root cause of the defect under investigation.
  4. Improve or optimize the current process based upon data analysis using techniques such as design of experiments or mistake proofing, and standard work to create a new, future state process. Set up pilot runs to establish process capability.
  5. Control the future state process to ensure that any deviations from target are corrected before they result in defects. Implement control systems such as statistical process control production boards, visual workplaces, and continuously monitor the process.

Director of Nursing Practice

For DNP students:
You need to start writing your DNP proposal or you need to analyze your data and prepare for your defense; you know this, but you have been hesitating or feel uncertain....

How do I begin? What do I do now that my data is collected? How do I put this all together and prepare for my defense? No matter where you are in your DNP project, I can help you move toward the ultimate goal: your DNP degree.

I can help you develop your PICOT:

To formulate questions in Evidence Based Practice, use the PICOT format.
  • Population/Patient Problem: Who is your patient? (Disease or Health status, age, race, sex)
  • Intervention: What do you plan to do for the patient? (Specific tests, therapies, medications)
  • Comparison: What is the alternative to your plan? (e.g., No treatment, different type of treatment, etc.)
  • Outcome: What outcome do you seek? (Less symptoms, no symptoms, full health, etc.)
  • Time: What is the time frame? (This element is not always included.)
Your PICOT question will fall under one of these types:
  • Therapy/Prevention
  • Diagnosis
  • Etiology
  • Prognosis

We can work together to develop your DNP proposal and defense sections.

Sample DNP Proposal Template

Frequently Asked Questions - The DNP Degree

The IRB Approval Process

DNP Glossary

Statistical Programs

SPSS – Statistical Package for Social Sciences

SPSS is a comprehensive statistical package with substantial programming and data-transformation features. Bryan can assist you with the following:

  • Programming (E.G., Computation, Recodes, Conditional Execution And Looping)
  • Statistical Analysis (E.G., Descriptive Statistics, Tables, Regression, T-Test, ANOVA, Factor Analysis, Logistic Regression And Time Series)
  • Graphics (E.G., Histogram, Pie Chart, Scatter Plot, Line Graph, And 3-D Plots)
  • Utilities (E.G., Sorting, Merging And Table Lookup, Transposition And Displaying The Dictionary For An SPSS System File)
  • Spreadsheet Appearance: Using Interactive Graphical SPSS, Data Are Displayed In A Matrix Similar To A Spreadsheet.


The interactive data analysis program runs on a variety of platforms. It can be used for both simple and complex statistical analyses. STATA uses a point-and-click interface as well as command syntax, which makes it easy to use. STATA also makes it easy to generate graphs and plots of data and results.

Analysis in STATA is centered on four windows: the command window, the review window, the result window, and the variable window. Analysis commands are entered into the command window and the review window records those commands. The variables window lists the variables that are available in the current data set along with the variable labels, and the results window is where the results appear.


Certified Six Sigma Black Belt, June 2013

Master of Arts, University of South Florida, Tampa, FL, August 1997, Clinical Psychology

Bachelor of Arts, Magna Cum Laude, University of St. Thomas, Houston, TX, May, 1992, Psychology.

Thesis and Dissertation Statistics Consulting

Chapter 1: Introduction

Statement of the Problem

Purpose of the Study

Significance of the Study

Research Design

Nature of the Study

Theoretical / Conceptual Framework

Definition of Terms

Assumptions, Limitations, Delimitations

Chapter 2: Literature Review

The conceptual basis, justification, analysis, and interpretation of the problem under investigation.

Chapter 3: Method

Research question and hypotheses development

Research design and research methods

Chapters 4 and 5: Results, Discussion, Conclusions

Database management and development

  • Cleaning, Coding, And Data Entry In SPSS
  • Choosing The Correct Statistical Test To Run
  • Interpreting SPSS Output
  • Statistical Analysis Of SPSS Data Output
  • Cleaning The Data
  • Dealing With Missing Data
  • Normality
  • Transforming The Data
  • Analyzing The Data

Bryan can assist you in the following areas of statistics for your dissertation or thesis:

  • Your Research Questions And Null/Alternative Hypotheses
  • Specific Statistics To Address The Research Questions, The Assumptions Of The Statistics, And Justify Why They Are The Appropriate Statistics
  • Justifying Your Sample Size/Power Analysis
  • Explaining Your Data Analysis Plan To You So You Are Comfortable And Confident
  • Understanding The Capabilities Of SPSS Software

Chapter 5: Discussion


The Internal Review Board Process