This course is designed for students who have successfully completed Algebra II and possess sufficient mathematical maturity and quantitative reasoning ability.

This course covers major introductory topics in both descriptive and inferential statistics, such as mean, median, mode, variance, standard deviation, linear and nonlinear regression, correlation, and hypothesis testing. Students learn how to collect unbiased data, sampling procedures, experimental design, estimate population characteristics, make predictions, find and interpret confidence intervals, test hypotheses, compare two populations, develop chi- squared tests, and make data-based decisions. Students learn from simulations how to develop probabilistic reasoning to anticipate patterns in data and to determine the likelihood of errors in inference. Students also learn to apply techniques for normal, binomial, geometric, and other discrete and continuous probability distributions. 

Students will learn to use JMP statistical analysis software. Microsoft Excel and other data analysis programs are used as teaching tools in the classroom and are used by students on their computers and iPads. This course includes preparation and review for the AP statistics examination. Students will be prepared for the Advanced Data Analysis course.

Note: A student who fails the 1st Semester of the course will NOT be permitted to continue in the course 2nd Semester.

Special Note: A TI-84+ graphing calculator is required.