446 AP® Statistics

2 semesters, 1 credit

Open to juniors and seniors

Prerequisites: Minimum grade of C in 430 Algebra II, 440 Honors College Algebra, or 442 Honors Precalculus, and teacher approval.

Probability and Statistics provides an introduction to modern statistics. Students will research and use data in order to illustrate statistical methods and procedures. This course allows the student to develop an understanding for statistics by taking a look at organized data and applying various formulas and calculations. Topics covered include elementary probability theory and binomial, geometric, Poisson, normal, sampling and chi-square distributions, estimations, hypothesis testing, correlation, and regression. A TI-84 graphing calculator is required for this class.

This course meets the criteria for Advanced Placement (AP) through the College Board.  At the completion of this course, students have the option to take an Advanced Placement Exam which is then scored by the College Board.  Students scoring above a required level are able to earn advanced placement for this course.  There is an additional fee required to take the AP Exam.

Skills

By the completion of this course, students will be able to…

  1. Identify different examples of probability and statistics in use around them.
  2. Collect and organize data; construct and interpret various graphs.
  3. Calculate and relate different measures of center and variation.
  4. Apply rules of probability .
  5. Compute the binomial probabilities and know how to apply them.
  6. Use binomial, geometric, Poisson, normal, and chi-square distributions.
  7. Estimate parameters using statistics (confidence intervals).
  8. Conduct hypothesis tests for means, proportions, and differences.
  9. Plan and conduct a study.
  10. Graph a line of best fit and calculate the correlation coefficient. 

Knowledge

By the completion of this course, students will know…

  1. The importance of statistics in the world today 
  2. The functions of regression and correlation 
  3. The principles of randomness and probability 
  4. The principles of normal distribution and sampling distribution 
  5. The principles of statistical inference:  confidence intervals 
  6. The principles of statistical inference:  hypothesis testing  

 

This course last updated on January 4, 2019, by the Math Department.