About Probability & Statistics
What is a randomized double blind study with control groups? How do you know if a vaccine works? If everyone does not answer their census questionnaire, how can you count the number of people currently living in any area of the United States? How do you know if the medical procedure will benefit you? What about the weather? Should you buy the extended warranty? How do you begin to answer these and many many more questions? The answer is the subject of probability and statistics.
Every field has questions whose answers are found using statistical analysis tools. Every field uses statistics … and everyone needs to understand the concepts within probability and statistics to be successful in their daily personal lives.
HGS Probability and Statistics introduces students to the logic, visualization, descriptive methods, and inference tools one can use to begin to answer questions one may have. Only Algebra II mathematics is required as a prerequisite for this non-calculus based class.
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COURSE INFORMATION
Probability and Statistics is taught by Dr. Bruce Norton. The academic year schedule class meets daily for approximately 50 minutes beginning at 7:20 a.m. The fall semester block class meets daily for approximately 90 minutes beginning at 10:00 a.m. (Please Note: The academic year section will not be offered during the 2021-2022 academic year.)
P&S (MTH 154/245) is a non-calculus based course intended to introduce students with no prior knowledge of the subject to the academic discipline of quantative reasoning through the use of the statistical tools of data analysis, visualization, regression, and inference.
In order to take MTH 154/245 a student should have successfully completed Algebra II at the high school level. Familiarity with the use of a scientific level or higher (e.g., graphing) calculator to preform repetative basic math operations is also required. However, calculator pre-programmed statistics operations will not be used in the course.
Students should also have access to the interent outside of daily class time and a device (Windows, MAC OS, or Linux) capable of running software used in the course.
"Probability and Statistics incorporates both introductory non-calculus based statistics and quantitative reasoning. Thus, Probability and Statistics covers descriptive statistics, data visualization, experiment design, probability, probability distributions, estimation, hypothesis testing, correlation, and both nonlinear and linear regression. Statistical tools are used in problem solving and reasoning as well as model development and analysis. Large, real world data sets are examined using statistical software. Supporting topics, such as set theory and logic, are also covered with an introductory perspective."