Three different audiences in one.
- Students, seeing data-centric lessons
- Instructors, learning some new tools and styles
- Budding data scientists, learning tools for doing data science
Three different audiences in one.
"Too many students can't take the intro stats course, and hence graduate, because of the burden of "intermediate algebra" prerequisite."
Areas of consensus
More areas of concesus
GAISE College report (p. 24)
Drills with z-, t-, χ2, and F-tables. These skills are no longer necessary and do not reflect modern statistical practice. Since statistical software produces a p-value as part of performing a hypothesis test, a shift from finding p-values to interpreting p-values in context is appropriate.
ASA statement:
Underpinning many published scientific conclusions is the concept of “statistical significance,” typically assessed with an index called the p-value. While the p-value can be a useful statistical measure, it is commonly misused and misinterpreted.
P-values can indicate how incompatible the data are with a specified statistical model.
P-values do not measure the probability that the studied hypothesis is true, or the probability that the data were produced by random chance alone.
A p-value, or statistical significance, does not measure the size of an effect or the importance of a result.
By itself, a p-value does not provide a good measure of evidence regarding a model or hypothesis.
Is statistics …
Insofar as statistics is a practical tool, the stat education community some catching up to do.