Phone: 512-759-4700, ext. 6098
Degrees and Certifications:
Degrees B.S. in Business Administration Master's Degree in Educational Leadership Certifications Mathematics (8th - 12th) Principal (EC - 12)
Mr. Wayne L. Christmas
Welcome. I have been at HHS for the past 6 years. I currently teach Advanced Quantitative Reasoning (AQR) and Statistics & Business Decision Making at HHS as well as the math department chair. Also, I am a UIL academic coach and the faculty sponsor for Mu Alpha Theta math honor society. I have a passion for education, especially in the field of mathematics at the secondary/post-secondary level. I enjoy working with my students and work tirelessly to help them achieve their goals.
Advanced Quantitative Reasoning (AQR)
Advanced Quantitative Reasoning (AQR) is designed for students who like word problems and can think at the synthesis level on Bloom's taxonomy. This course is an engaging, relevant, and rigorous course that provides students with an alternative to Pre-AP Calculus or AP Statistics after Algebra 2. It provides a strong background in statistics, as well as addressing interesting and important topics in finance, discrete math, trigonometry, and other areas of mathematics, and it uses what students have learned in algebra and geometry to model and to solve a variety of problems.
Statistics & Business Decision Making
Statistics and Business Decision Making is an introduction to statistics and the application of statistics to business decision making. Students will use statistics to make business decisions and determine the appropriateness of methods used to collect data to ensure conclusions are valid. Students will be expected to think deeply, communicate well, and solve challenging problems that require them to extend basic knowledge. My goal in teaching Business Statistics is to help students to learn how to work with data to make decisions. In this contemporary presentation of business statistics, students will learn how to approach business decisions through a 4M Analytics decision making strategy—motivation, method, mechanics, and message—to better understand how a business context motivates the statistical process and how the results inform a course of action.