Statistics/Data Science (BVR-X)
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
- Interests: Business, Health, Law, Politics, Psychology, Research, Sports
- Grades: 10th, 11th, 12th
- Subjects: Mathematics
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