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🆕 We at last have a lab for Chap 10 Inference for Regression, written by Beth Brown of Greenfield Community College @greenfieldtweet!
We use the {infer} & {palmerpenguins} #rstats pkgs to teach students how to interpret p-values AND confidence intervals in a regression table!
We then top things off by extending inference for regression to a parallel slopes multiple regression model as well!
Note: we always EDA first 📈👀, then regression table second 🧮
Furthermore, while the use of the R statistical programming language for statistical analysis is not new, recent developments such as the tidyverse suite of packages have made statistical computation with R accessible to a broader audience...
We go one step further by leveraging the tidyverse & broom packages to make linear regression accessible to students taking an introductory statistics course. Such students are likely to be new to statistical computation with R; we designed moderndive with these students in mind.
For anyone out there who is writing or has written a bookdown book, I would be happy to discuss doing a parallel print version with CRC. I am always on the lookout for books in other formats as well. Please send me a DM or tweet. #rstats#DataScience@AmstatNews@CRC_MathStats
ICYMI @R4DScommunity recently completed a ModernDive book club on regression & the meat/protein of our book: statistical inference via sampling, confidence intervals, & hypothesis tests!
Check out these awesome YouTube videos led by @philosohackeryoutube.com/playlist?list=PL…
If you're looking to learn statistical inference via simulation-based methods like the bootstrap & permutation tests, then check out these videos & moderndive.com to learn about the {infer} #rstats package!
We’re honoured that @UBC stats is using us for STAT 201 Statistical Inference for Data Science, a 2nd course in stats w/ DSCI 100 Intro Data Science as prereq
You heard right! Data science first, stats second!
👀 @VincenzoCoia & @LourenzuttiR syllabus: github.com/UBC-STAT/stat-201…
Back to the start. Today i've taken time to read the "Sampling" chapter of @ModernDive. Explored the rep_sample_n() function and histograms. Here a book figure summarizing random sampling accuracy and precision, two properties of the measured point estimates. #100DaysOfCode Day1.
Hot tip! After teaching students simple linear regression
1. Ask "What's the 3D generalization of a regression line?"
2. Watch the gears grind in their heads ⚙️⚙️
3. Have them play w/ this interactive 3D scatterplot plane moderndive.com/regression-pl… in Ch 6.2.1
4. Watch their 🤯