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Martin, Wendy

Teaching Associate Professor and W. Edwards Deming Professor of Management

Positions

Research Areas research areas

Research

research overview

  • Professor Martin's area of expertise is focused on the application of statistics in an industrial environment, with an emphasis in six sigma, quality systems and reliability methods.

keywords

  • Business, Quality Improvement, Applied Statistics, Leadership, Industrial Research, Production, Operations, Manufacturing, Performance Excellence, Statistical Process Control, Process Improvement

Publications

Teaching

courses taught

  • DTSA 5704 - Managing, Describing, and Analyzing Data
    Primary Instructor - Spring 2022 / Summer 2022 / Fall 2022 / Spring 2023 / Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
    This course teaches the fundamentals of understanding data and the importance of correctly classifying data. This course covers how to describe data using descriptive statistics and R software, the four probability distributions commonly used in data analysis, steps for analyzing data sets using the appropriate probability distribution, and the basics of sampling error, sampling distributions, and errors in decision-making.
  • DTSA 5705 - Stability and Capability in Quality Improvement
    Primary Instructor - Spring 2022 / Summer 2022 / Fall 2022 / Spring 2023 / Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
    Students will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to performing statistical hypothesis testing. Students will create statistical process control charts for both continuous and discrete data using R software. Students will analyze data sets for statistical control using control rules based on probability. Additionally, students will learn how to assess a process with respect to how capable it is of meeting specifications, either internal or external, and make decisions about process improvement.
  • DTSA 5706 - Measurement Systems Analysis
    Primary Instructor - Summer 2022 / Fall 2022 / Spring 2023 / Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
    Students will learn to analyze measurement systems for process stability and statistical control and why having a stable measurement process is imperative prior to performing any statistical analysis. Students will analyze continuous measurement systems and statistically characterize both accuracy and precision using R software. Students will perform measurement systems analysis for potential, short term and long term statistical control and capability.
  • DTSA 5900 - Special Topics
    Primary Instructor - Summer 2021 / Fall 2021
    Examines a special topic in Data Science. May be repeated up to 23 total credit hours.
  • EMEA 5006 - Defining, Describing and Visualizing Data
    Primary Instructor - Spring 2023 / Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
    As leaders in your chosen field, you need to not only know how to ask the right questions but also answer them using data-based methods. Through this class, you'll be able to get to the bottom of what you really want to know, describe the associated data related to that question and visualize the information from that data to understand and explain the results.
  • ... more

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