david@techonomics.se
A small ad on techonomics.se
Statistics is an important topic for an engineer, maybe even one of the most important because it is applicable to so many areas of everyday life. As an engineer in Industrial Economics at Chalmers speaks the two statistics courses for undergraduate teaching, which then can be completed during the master.
During the first course, I learned among other things, to carry out data collection, hypotesttest and calculate confidence intervals. During the second course, we went through linear regression, Χ 2-test ("chi-square test").
An interesting project that we reported was to investigate the distribution back slicks, that people with combed back hair, looks on Trade. Our hypothesis was that more than 15% had one haircut. We also tested if we could establish a significant difference between Chalmers and Trade, our hypothesis was that there was a difference and that more back slicks went on Trade. An exact Fisher test had to be made because the share back slicks at Chalmers was too low to use conventional hypothesis test in the comparison.
One difficulty of this study was to collect data, as this must be done completely at random. Our conclusions are partly based on the assumption that the back slicks are not in group, which of course is debatable. Defining a back slick is not simply. We used the following template:
"A slick back is a male hairstyle characterised by the FOLLOWING properties: i) the hair must be long enough to Be Very Good to Be styled with a comb but not longer than option shoulder length. ii) it speed to look wet in some sense, meaning That it contains Either water, hair gel or Some other grease substance. iii) all hair must be distinct combed backwards. "
to further enhance the validity, we appointed the same person who made the assessment. We concluded that we could strengthen the hypothesis that more than 15% back slicks are in Trade. However, we stated our second hypothesis. With a p-value of less than 0.000004, we could say that there are more back slicks on Trade than Chalmers.
The results show the power of statistics. However, one must make sure that everything is done properly. Data can not be distorted or collection errors, while, all scenarios are outlined and be reasonable.
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Unusually osexig title for such a sexy subject that there are more back slicks on Trade in Gothenburg than Chalmers!
This is, however, party trick number one ...
You are obviously right, Karl. Why not submit punsh-line like:
Now it's down: The largest percentage Commerce Students are back licking
Based on statistics from my survey, one can see that those seeking to backslick and find this entry probably also back slicks. They look for words on his own personality. It can be seen as they clicked in backslick in my investigation, the other options that are filled from persons with known IP numbers.
Of course, not this claim statistically defensible, but still a qualitative reasoning that might be the basis for further research
The equations in the document appears not.
Hey. Saw it again now. Must have been something wrong when it came to pdf. Had the old Word when it was written ..