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Post by Admin on May 31, 2016 22:25:48 GMT
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Post by Admin on Jun 3, 2016 0:58:25 GMT
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Post by Admin on Jun 3, 2016 1:36:31 GMT
Hello everyone.. I found the car-data (above pages) here quantlet.de/index.php?p=show&id=3544its some kind of binary format you can use in "R" (R sample code is given on the page) Should be straightforward to convert to json or xml or csv, either way one can use it in R (if you are used to data.frame) I finished reading chapter 1 of "Comparison of Batches, descriptive techniques" page 3-48 And starting at the exercises: Exercise 1.1 Is the upper extreme always an outlier? We can use the data above, (US cars, European cars, Japanese cars) and the metric "Milage" (2ns column) Draw Boxplot using D3 (example of using boxplots bl.ocks.org/jensgrubert/7789216)Exercise 1.2 Is it possible for the mean or the median to lie outside of the fourths or even outside of the outside bars? Exercise 1.3 Assume that the data are normally distributed N (0, 1). What percent- age of the data do you expect to lie outside the outside bars?
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