Bert, thanks so much for your response. I woke up early this morning and couldn't go back to sleep, formulating a response. I hope I do it justice. See in-line below.
On Mon, 2025-05-05 at 20:09 +0100, Bert Gunter wrote: > 1. What you have been taught is mostly useless for addressing "real" > statistical issues; I hope this is not so, but I see your point. If by 'real' statistical problems, you mean the ones professional statisticians face, I agree. I kinda assumed that a one-semester course in basic statistics wouldn't qualify me for a professional position as a statistician. But, if you mean MY 'real' statistical issues, I hope you're wrong. Here's two examples: I have sleep apnea and use a CPAP machine. I have the ability to make changes to the settings on the machine, and have software to read the data that it writes to an SD card. The software produces data on the apnea-hypopnea index (AHI) and length of use each night, both of which can be used to gauge the effectiveness of its use. When I occasionally make changes to the settings, I'd like to know if the changes improved my health. About three years ago, we installed split-unit AC modules in our house, replacing individual window air conditioners. Since the split units are connected to a heat pump, they can also be used to supplement the output of the natural-gas-fired steam boiler that is the main souce of heating. We were told that the split units would reduce our home's energy usage, in both heating and cooling, and ultimately save money. However, I'm not certain that I've seen that savings reflected in our bills. I am serviced by a utility that allows me to download my house's daily energy use, in both kilowatts of electricity and therms of natural gas. In both these examples, the results could be analyzed by the knowledge I've gained by studying statistics, I believe. In addition, the results have a practical significance to me, and are not self-evident without the use of some sort of analytical tools. Is this nerdy? Of course! I don't imagine most, or even many, CPAP users conduct a hypothesis test when changing their machine. But, I'm nerdy, and now I have this new tool in my toolbox to apply to problems like these. > 2. Most of my 40 or so years of statistical practice involved trying > to define the questions of interest and determining whether there > existed or how to best obtain relevant data to answer those > questions. Once/if that was done, how to obtain answers from the data > was usually straightforward. That's a good insight, and I could certainly see how it's true. Almost all of the problems I've solved in basic statistics presented the data in a near-perfect format. We never even had to clean up data with missing values, for example. Certainly, applying the algorithms (simulation or theoretical) was the easiest and quickest part. Thank you again, Bert, for replying. I always enjoy your contributions to this group. -Kevin ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
