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A few typos. #1

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10 changes: 5 additions & 5 deletions 1_DATASCITOOLBOX/Data Scientists Toolbox Course Notes.Rmd
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Expand Up @@ -53,7 +53,7 @@ output:
* `git checkout -b branchname` = create new branch
* `git branch` = tells you what branch you are on
* `git checkout master` = move back to the master branch
* `git pull` = merge you changes into other branch/repo (pull request, sent to owner of the repo)
* `git pull` = merge your changes into other branch/repo (pull request, sent to owner of the repo)
* `git push` = commit local changes to remote (GitHub)


Expand Down Expand Up @@ -89,7 +89,7 @@ output:
* **Inferential analysis** = use data conclusions from smaller population for the broader group
* **Predictive analysis** = use data on one object to predict values for another (if X predicts Y, does not = X cause Y)
* **Causal analysis** = how does changing one variable affect another, using randomized studies, Strong assumptions, golden standard for statistical analysis
* **Mechanistic analysis** = understand exact changes in variables in other variables, modeled by empirical equations (engineering/physics
* **Mechanistic analysis** = understand exact changes in variables in other variables, modeled by empirical equations (engineering/physics)



Expand All @@ -101,7 +101,7 @@ output:
* **Big data** = now possible to collect data cheap, but not necessarily all useful (need the right data)

## Experimental Design
* Formulate you question in advance
* Formulate your question in advance
* **Statistical inference** = select subset, run experiment, calculate descriptive statistics, use inferential statistics to determine if results can be applied broadly
* ***[Inference]*** **Variability** = lower variability + clearer differences = decision
* ***[Inference]*** **Confounding** = underlying variable might be causing the correlation (sometimes called Spurious correlation)
Expand All @@ -115,7 +115,7 @@ output:
* **Positive Predictive Value** = Pr(disease | positive test)
* **Negative Predictive Value** = Pr(no disease | negative test)
* **Accuracy** = Pr(correct outcome)
* **Data dredging** = use data to fit hypothesis
* **Data dredging** = using data to fit hypothesis, possibly invalidly
* **Good experiments** = have replication, measure variability, generalize problem, transparent
* Prediction is not inference, and be ware of data dredging
* Prediction is not inference, and beware of data dredging