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Introductory Statistics

Section B.5 Foundations for Inference

pew_energy_2018
The actual data has more observations than were referenced in this chapter. That is, we used a subsample since it helped smooth some of the examples to have a bit more variability. The pew_energy_2018 data set represents the full data set for each of the different energy source questions, which covers solar, wind, offshore drilling, hydraulic fracturing, and nuclear energy. The statistics used to construct the data are from the following page: Pew Research Report
ebola_survey
In New York City on October 23rd, 2014, a doctor who had recently been treating Ebola patients in Guinea went to the hospital with a slight fever and was subsequently diagnosed with Ebola. Soon thereafter, an NBC 4 New York/The Wall Street Journal/Marist Poll found that 82% of New Yorkers favored a "mandatory 21-day quarantine for anyone who has come in contact with an Ebola patient". This poll included responses of 1,042 New York adults between Oct 26th and 28th, 2014. Poll ID NY141026 on maristpoll.marist.edu.
Rosling questions
We noted much smaller samples than the Roslings’ describe in their book, Factfulness. The samples we describe are similar but not the same as the actual rates. For more information, check out the book, Factfulness.
nuclear_survey
A simple random sample of 1,028 US adults in March 2013 found that 56% of US adults support nuclear arms reduction. Gallup Poll
Car manufacturing
This example was made up.
stent30, stent365
These data sets are described in the Introduction to Data section.