Math 321-02 (Spring 2021)
Statistics for Experimentalists, Spring 2021, Math 321-02
*See the OneDrive shared folder for assignments, course notes, and datasets*
Scanning work for turning in:
When turning in scanned work via email or to Blackboard, please convert it into a single high resolution pdf document (per assignment). This will make it easiest for me to keep everything organized and to write comments on the work to send back to you.
CamScanner is an app that I use to scan from phone to pdf. You can take multiple pictures and it will output a single pdf. It's available for both Android and iPhone. I am sure there are many similar apps. This one leaves a watermark with the free version. That's fine.
If you have a local scanner, that should work too. I prefer 300dpi and color, but 150dpi may suffice. Please check your pdf document so that the work is legible. Sometimes small writing or light writing (such as soft pencil) doesn't scan well. I suggest using blue or black ink or a sufficiently dark pencil for your written work. You could even try photos of boardwork, but make sure to organize it into a single document (per assignment).
Some cool sources for data:
World Bank
Google Data Explorer (good for viewing various datasets, but need to go tot he source to download the data)
St Louis Federal Reserve Bank
US Census Fact Finder
US Bureau of Labor Statistics
US Bureau of Economic Analysis
Data.gov
NOAA and NWS for climate and weather data
FBI crime data explorer
CDC mortality data
UCI Machine Learning Repository
World Population Review
Online statistics learning resources:
Statpages.info (a huge repository of resources)
Openstax (Basically very much like a proper textbook but online, seems easy to navigate, good basic examples)
Statlect (I really liked this one)
American Statistical Association statement on p-values
Common misinterpretations of the p-value and other statistical concepts
Guess the correlation game
Datasaurus dozen - shows how very different paired datasets can have the same scatterplot, and descriptive statistics
Spurious correlations
R statistical software:
Here is a great R cheat sheet: https://rstudio.com/wp-content/uploads/2016/10/r-cheat-sheet-3.pdf
You will need access to R statistical software. Here are instructions for getting R statistical software up and running on your computer. It should already be installed in all computer labs in Herak as well. If you find a computer where it is not installed, you can use these instructions to install it, or report it to me, and I will have IT install it.
Here is a website where you can evaluate R code online from your web browser from any device: https://rdrr.io/snippets/
Another option for having quick access to R (and this is useful for a smartphone) is SageCell at: https://sagecell.sagemath.org/. This website can be used to evaluate commands from a variety of programming languages (including MATLAB and Python). Just select R from the language tab at the lower right of the textbox. If you are familiar with MATLAB, choose the option "Octave". Octave is basically an open source version of MATLAB and you can run MATLAB code using the Octave language option on SageCell.
*See the OneDrive shared folder for assignments, course notes, and datasets*
Scanning work for turning in:
When turning in scanned work via email or to Blackboard, please convert it into a single high resolution pdf document (per assignment). This will make it easiest for me to keep everything organized and to write comments on the work to send back to you.
CamScanner is an app that I use to scan from phone to pdf. You can take multiple pictures and it will output a single pdf. It's available for both Android and iPhone. I am sure there are many similar apps. This one leaves a watermark with the free version. That's fine.
If you have a local scanner, that should work too. I prefer 300dpi and color, but 150dpi may suffice. Please check your pdf document so that the work is legible. Sometimes small writing or light writing (such as soft pencil) doesn't scan well. I suggest using blue or black ink or a sufficiently dark pencil for your written work. You could even try photos of boardwork, but make sure to organize it into a single document (per assignment).
Some cool sources for data:
World Bank
Google Data Explorer (good for viewing various datasets, but need to go tot he source to download the data)
St Louis Federal Reserve Bank
US Census Fact Finder
US Bureau of Labor Statistics
US Bureau of Economic Analysis
Data.gov
NOAA and NWS for climate and weather data
FBI crime data explorer
CDC mortality data
UCI Machine Learning Repository
World Population Review
Online statistics learning resources:
Statpages.info (a huge repository of resources)
Openstax (Basically very much like a proper textbook but online, seems easy to navigate, good basic examples)
Statlect (I really liked this one)
American Statistical Association statement on p-values
Common misinterpretations of the p-value and other statistical concepts
Guess the correlation game
Datasaurus dozen - shows how very different paired datasets can have the same scatterplot, and descriptive statistics
Spurious correlations
R statistical software:
Here is a great R cheat sheet: https://rstudio.com/wp-content/uploads/2016/10/r-cheat-sheet-3.pdf
You will need access to R statistical software. Here are instructions for getting R statistical software up and running on your computer. It should already be installed in all computer labs in Herak as well. If you find a computer where it is not installed, you can use these instructions to install it, or report it to me, and I will have IT install it.
Here is a website where you can evaluate R code online from your web browser from any device: https://rdrr.io/snippets/
Another option for having quick access to R (and this is useful for a smartphone) is SageCell at: https://sagecell.sagemath.org/. This website can be used to evaluate commands from a variety of programming languages (including MATLAB and Python). Just select R from the language tab at the lower right of the textbox. If you are familiar with MATLAB, choose the option "Octave". Octave is basically an open source version of MATLAB and you can run MATLAB code using the Octave language option on SageCell.