AP Statistics
Statistics is the science of reasoning from data. Its purpose is to aid people in making
decisions based on the analysis of numerical information. Data and numerical arguments occur not only in
science and the social sciences but also in almost every field of academic inquiry. In addition most people encounter statistical
reasoning in everyday life. Therefore,
it is appropriate and important for all educated citizens to study the
principles and methods of statistics.
The emphasis in this course will be on understanding statistical concepts and on interpreting and communicating the results of statistical analyses. In other words, you will be asked to read carefully, write well, and speak knowledgeably in addition to “doing math.” You will be expected to construct and analyze numerical arguments as well as draw conclusions based on statistical evidence. You are expected to actively participate in class activities and projects throughout the course. Since statistics is applicable in everyday life and most academic fields, you will analyze genuine data from a variety of applications throughout the course. These data will span a wide variety of subject matter; most should be of interest to a general audience.
You will spend some of your time in class engaged in
activities. These activities have been
designed to lead you to discover fundamental statistical ideas for
yourself. You will be encouraged to work
collaboratively with others on most of these activities. Many will also require the use of a graphing
calculator or computer. Your teacher’s
role during these activities will be to answer questions and prod you to better
understanding of the material. He will
also lead class discussions and present explanations where appropriate. You
will be expected to do a considerable amount of reading and solving problems
outside of class.
Units (and Corresponding Chapters)
1 Probability (6)
2 Patterns in Data (1 and 2)
3 Correlation and Regression (3 and some of 4)
4 Producing Data (5)
5 Probability Distributions (7 and 8)
6 Sampling Distributions (9)
7 Confidence Intervals (10)
8 Significance Testing (11)
9 Statistical Inference (12, 13 and 14)
10 Regression with Transformations and Inference for Regression (4 and 13)
11 Review, AP Exam and a FInal Project
Comments