According to the Common Core HS-Math Source:http://www.p12.nysed.gov/ciai/common_core_standards/ we must do: Making Inferences & Justifying Conclusions Understand and evaluate random processes underlying statistical experiments 1. Understand statistics as a process for making inferences about population parameters based on a random sample from that population. 2. Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. For example, a model says a spinning coin falls heads up with probability 0.5. Would a result of 5 tails in a row cause you to question the model? Make inferences and justify conclusions from sample surveys, experiments, and observational studies 3. Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each. 4. Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling. 5. Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant. 6. Evaluate reports based on data
This takes a lot of time to develop properly in advanced placement statistics (sampling statistics, confidence intervals and hypothesis testing). How much time can we give it in our three year sequence?
This content will most likely have to be taught without real development, making it all memorization without real understanding.
The common core was supposed to ensure that our curriculum was not ten miles wide and only two inches deep.
I think the content described above really contradicts this supposition. There are many more examples of this in the standards.
I don't know how we can fit it all in 3 years and 3 Regents Exams.