Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates. |
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Variable labels of dataset (the names of the variables) |
Full-scale IQ | Verbal IQ | Performance IQ | Students' university ranks | Study hours | Study days per week | Sleeping hours per day | Eating habits | Ways to relax alone | Ways to relax with friends | High school ranks | Cram school ranks | Parents' annual income |
Outline of data |
1st year university students' personal data including their WAIS-III IQ test results, study habits, daily habits and their university ranks. These data will be used to examine whether correlation between a student's IQ and his/her academic ability exists, and calculate the correlation coefficient between IQ and academic ability. |
Simulation process |
To quantitatively and qualitatively analyze the relationship among dataset by using data-mining |
Expected outcome of the process (obtained knowledge, analysis results, output of tools) |
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Anticipation for analyses/simulations other than the typical ones provided above |
Besides IQ, if there are also other factors that are correlated to students' academic abilities, I want to clarify them. |
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