
Public profile for kcramer
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PS 10.3, Table 16: Elapsed Times vs Mean Concentrations of Malathion  kcramer  Nov 19, 2019  204B  1 
Data for IA Exercise 1.3.4: Percentages of Women/Men Who Are Married (by Year)  kcramer  Nov 1, 2019  198B  34 
Data for IA Exercise 1.3.10: 1500Meter Run Record Times  kcramer  Nov 1, 2019  355B  15  Text Messaging, Categorized by Age
Respondents aged between 18 and 64 categorized into age classes. The percentage of respondents in each class who sent/received texts regularly was studied. This data is not my own, but comes from A Pathway to Statistics, section 6.3, example 5. I did not make this explicit in the title of the datasheet, as I do not want my students going straight to the book for the solution.  kcramer  Oct 28, 2019  75B  11 
Mean Weights of Boys Ages 2 to 12
I'm using this for Modeling Linear Associations. It has a decent linear correlation coefficient. A linear regression produces the stats and scatter plot with a polynomial of order one trend line overlay which can be used to illustrate extrapolation/interpolation, error estimates, and model breakdown. For over/underestimates and error, interpolate mean weights for 3 and 5 year olds and compare with observed mean weights of 31.0 pounds and 40.5 pounds, respectively. For model breakdown, adjust the xaxis of the scatter plot to range between 0 and 20, with integer tick marks, and the yaxis to range between 0 and 200, with tick marks 0, 10, 20, ..., 200, and an extrapolation for mean weight at age 20 will suggest a weight somewhere near 135 lbs for a 20 year old male.
 kcramer  Oct 26, 2019  110B  506  Data for PS 6.2, exercise 33  kcramer  Oct 26, 2019  237B  6  Data for PS 6.2, exercise 23  kcramer  Oct 26, 2019  276B  28  Digital Music Sales in the United States
Data to use exercise 7.3.77 from Pathway to Statistics for an in class example.  kcramer  Oct 23, 2019  146B  14  PS 4.2 Table 23
Use for example of comparing the means and standard deviations of two distributions.  kcramer  Sep 18, 2019  386B  39 

