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View Code? Open in Web Editor NEWA set of notes I use for teaching STA 570 at Northern Arizona University
A set of notes I use for teaching STA 570 at Northern Arizona University
Utilize the car::Boot() function starting with Chapter 3. If we do that, we can get rid of chapter 11 completely. We haven't yet figured out if car::Boot() will do both the confidence intervals and the associated p-values. We might have to look to another package to do the p-value calculations. Maybe the "coin" package?
When giving the historical accounts of experiments, I should end that discussion with the quote from Sherlock Holmes that once you've eliminated the impossible, then whatever remains, however improbable, must be the truth. This should help emphasize that we are taking the world of possible values and winnowing away the hypotheses that are contradicted by data and steadily zeroing in the the set of hypothesized values that we can't reject with our current set of data.
Chapter 0 - Why are we studying statistics. There needs to be an introduction that discusses the big picture of taking randomly selected observations from a population to better understand the population. In particular, the sampling method needs to ensure that the sample we get is representative of the population of interest. So, I want to write a quick introduction to sampling and experimental design.
Chapter 1 - This chapter needs a better introduction explaining the whole point of data summary. Then we really need a crash course in R data summarization and ggplot2. In particular, I want to set up the context for the four critical graphs (scatter plots, box plots, stacked bar charts, and histograms). In the summarization, we want to set up mean, median, sd, IQR, but with the ability to set up the group_by() argument. Make it easy to go back to the index and see the progression!
Chapter 3 - Students struggle with the theory/simulation divide. As I re-write this and subsequent chapters, I need to constantly be introducing the big concept, then have a subsection on simulation method / theory method.
Within each chapter I really want to have a summary section where I wrap up both the theory main points as well as the R coding. So before the exercises, we should have the conclusions section.
Hi Derek!
I got a lot of value out of this text when I took 570 a couple years ago, and would be happy to contribute spelling/grammar checks to the text if they're welcome.
What are your preferences re: proposing contributions. Should I just fork and open a pull request or two?
Best,
Chris
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