Statistics
This course includes the gathering of data and a variety of sampling techniques, hypothesis testing, frequency distribution, normal distribution, correlation, linear regression, theoretical distributions, and inferential statistics. This course asks students to consider questions such as these: How is data summarized so that it is intelligible? How should statistical data be interpreted? How can we measure the inherent uncertainty built into statistical data? Students will be asked to collect, analyze and interpret real data to answer real questions in their areas of interest.
Students can opt to take this class at the Honors level.
Prerequisites: Integrated Math 3 or Algebra 2 and Geometry
Advanced Math Topics (Honors)
In this course, students will be asked to grapple with a range of topics that extend beyond fundamental calculus topics. Topics covered may include but are not limited to l’Hospital’s rule, linear approximations, differentials, Newton’s Method of Approximation, center of mass, arc length, surface area, and differential equations. Students will be asked to think creatively and apply their knowledge to complex real-world problems and extend their knowledge of fundamental calculus topics. Students taking Advanced Calculus or others with a strong interest in pursuing advanced mathematics at the college level are strongly encouraged.
Class offered at the Honors level only
Prerequisites: Advanced Calculus or departmental permission