[ ] Do we need both "point estimate" and "sample estimate" here? I thought we changed to "sample estimate" in the past but it seems like we still use both and "point estimate" is more abundant. I vote to only keep one, not sure which one I prefer (the figures use "point").
[ ] Maybe flesh out the caption of Fig 10.1 a bit
[ ] "Of course, we usually do not have access to the true population, but here let’s imagine (for learning purposes) that our data set represents the population of all Airbnb rental listings in Vancouver, Canada." It might be unclear to students why we are suggesting that this data is in fact not the "True" population since we said that it contains all the AirBnB listing for a specific year; we don't really describe what the theoretical true population would be in this case.
[ ] In 10.4.1 and 10.4.2 we usually do df.sample(n=40) but there are two place where we leave out the n without explanation. I would be in favor or always leaving out the n but in other chapters we use n= so the easiest would be to add it here where it is missing (and maybe that also makes it clearer when we use frac= later)
[ ] Just above 10.4.3 we have a note that says 20 is a good rule of thumb for a large enough sample size. It would be helpful to add a similar note for the bootstrap section. (or just write in this note that it applies to bootstrapping as well)
[ ] Just under figure 10.5 "but there are a good fraction of cases" -> "but there is a good fraction of cases"
[ ] Fig 10.7, 10.10, 10,11, 10.12, 10.13, 10.14 link to the bottom of the figure instead of the top
[ ] "The mean of the sample mean (across samples) is equal to the population mean." -> "The mean of each sampling distribution is roughly equal to the population mean." I think the current wording is quite confusing and the averages are also not exactly the equal to the population mean.
[ ] Fig. 10.12 caption; add the word in bold "Histograms of the first six replicates of bootstrap samples"
df.sample(n=40)
but there are two place where we leave out then
without explanation. I would be in favor or always leaving out then
but in other chapters we usen=
so the easiest would be to add it here where it is missing (and maybe that also makes it clearer when we usefrac=
later)