Resume

• 2008

  Master of Arts (M.A.)

  Mathematics

  MAA

  AMS

  PI Mu Epsilon

  USF

  Senior Fitness

  International Sports Science Association (ISSA)

  Personal Trainer

  (ISSA) International Sports Sciences Association

• 2006

  Bachelor of Arts (B.A.)

  Mathematics

  MAA

  AMS

  Pi Mu Epsilon

  USF

• 2002

  Associate of Arts (A.A.)

  Mathematics Education & Web Design/Development

  Math Olympics Team

  State College of Florida-Manatee-Sarasota

• 3.61

  Doctor of Philosophy (PhD)

  Pure Mathematics and Applied Statistics

  MAA

  AMS

  PI Mu Epsilon

  EPSRC Math Science Grants

  USF

• Statistics

  Critical Thinking

  Program Development

  University Teaching

  Higher Education

  Program Evaluation

  Grant Writing

  Qualitative Research

  Community Outreach

  Creative Writing

  Nonprofits

  Research

  Public Speaking

  Curriculum Design

  Student Affairs

  Editing

  Staff Development

  Data Analysis

  Tutoring

  Teaching

  Modeling hurricanes using principal component analysis in conjunction with Non-response analysis.

  Rebecca Wooten

  Modeling hurricanes using principal component analysis in conjunction with Non-response analysis.

  An extension of Euler's Polyhedron Theorem - An enumeration of orbits.

  Kenneth Baah

  In 2011

  Wooten introduced Non-Response Analysis the founding theory in Implicit Regression where Implicit Regression treats the variables implicitly as codependent variables and not as an explicit function with dependent or independent variables as in standard regression. The motivation of this paper is to introduce methods of implicit regression to determine the constant nature of a variable or the interactive term

  and address inverse relationship among measured variables with random error present in both directions.

  Implicit Regression: Detecting Constants and Inverse Relationships with Bivariate Random Error

  A Brief Parametric Analysis of Catastrophic or Disastrous Hurricanes That Have Hit the Florida Keys between 1900 and 2000

  Introductory Statistics is a course taught in various community colleges

  state\ncolleges

  and universities. Implementation of projects in this course has been\nshown to enhance students’ learning; in addition to increasing the ability of\neducators to assess students’ learning outcomes in detail. These projects are\noften inquiry-based and require a balance between flexibility and efficiency.\nMaintaining balance has provided the students’ opportunities through exploration\nand learner autonomy. In exploration

  a student seeks new methods\nand options through experimenting. In this paper

  we will discuss the benefits\nof exploration required by projects given in an introductory statistics course.\nThe details of five different projects discussed in this paper—illustrate the\npractical influence that they could have on higher statistics courses.

  Improving Performance and Enhancing Introductory Statistics Using Projects

  The Art of Estimating a Moving Parameter and Reducing Bias Introduced by Inflated Measurements in Student Assessments

  Joy

  D'Andrea

  University of South Florida

  University of South Florida

  Polk State College

  USF Sarasota-Manatee

  Adjunct Professor

  Lakeland

  Florida Area

  Polk State College

  USF Sarasota-Manatee

  Mathematics Visiting Instructor

  Mathematics Faculty member and Consultant.

  University of South Florida

  TA

  University of South Florida

  AMS

  ASA

  MAA

  English

  German

  French

  Spanish

  Pi Mu Epsilon Vice - President

  Pi Mu Epsilon is a non-secret honor society whose purpose is the promotion and recognition of scholarly activity in the mathematical sciences among students at the academic institutions that have been chartered as Chapters of the Society.

  Pi Mu Epsilon Chapter at USF Tampa

  Pi Mu Epsilon President

  Pi Mu Epsilon is a non-secret honor society whose purpose is the promotion and recognition of scholarly activity in the mathematical sciences among students at the academic institutions that have been chartered as Chapters of the Society.

  Pi Mu Epsilon Chapter at USF Tampa