You can view the GoogleDoc spreadsheet we built in class on Monday, which calculates the mean and standard deviation for the quiz score data set (from the Day 3 and 5 Handouts), by clicking here.
You should be able to click through the cells and view the formulas that are used to do the calculations. If you have a Google account, you should be able to “Make a Copy” (under the File menu) which will save a copy of the spreadsheet to your GoogleDrive. Then you can edit it, and try to make a version that you can use for the homework exercises.
If you’d rather use Microsoft Excel, try downloading via this link, which should give you the same spreadsheet converted to an Excel file.
I strongly encourage you to spend some time understanding the basics of how to set up a spreadsheet like this, and to try to use spreadsheets on homework assignments to do your calculations. As I’ve said in class, if you do deal with data in the future, it will most likely be within the context of a spreadsheet.
Here are the scatter plots I showed in class on Monday (the graphs were also posted and discussed on this USA Today blog). You can read about scatter plots in Sec 2.2 of the text. We will return to paired data sets, scatter plots and regression towards the end of the course.
We discussed frequency distributions and histograms last week, and they will be central concepts in the course. Here is the example I showed in class from the New York Times’ website, which shows the age distributions of the US population over time, as well as a similar link from the Washington Post:
- From the New York Times: “The Aging of America“
- Via the WashingtonPost’s Wonkblog: “This is a mesmerizing little animation created by Bill McBride of Calculated Risk. It shows the distribution of the U.S. population by age over time, starting at 1900 and ending with Census Bureau forecasts between now and 2060.”
What do you notice about how the distributions evolve over time? Click thru to either the CalculatedRisk blog post on which this animation first appeared or to the WashingtonPost link to read some discussion.