|Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates.
|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.
||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)
|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.