Week |
Topics |
1. Week |
Defining aspects and coverage of Statistics at court work, law making, legal research and forensic sciences; concept of statistical variable; presentation of numerical data; concepts of distribution; empirical and theoretical distributions, on distributions concerning legal matters. |
2. Week |
Data collection and generation; editing process and legal databases; arrays, ungrouped and grouped frequency distributions; utilizing insight into grouping of data; data in nominal, ordinal, interval and ratio scales; data use in law and related areas of concern. |
3. Week |
Statistical rules for grouping; group limit design; legal prohibitions in providing data sets and presenting distributions; continuity and discreteness in statistical grouping and legal approaches; open groups; lexical and operational definitions of variables for legal work; bias within groups. |
4. Week |
Group width and representative values; arithmetic, geometric, harmonic and quadratic group representation; on closing gaps among groups; use of grouped data by law making procedures; avoiding or diminishing the grouping bias; estimation of group limits with equal group intervals; Sturges’ rule. |
5. Week |
Generating derived distributions; relative and cumulative distributions; equal density distribution; chained applications; juristic work examples; derived distributions with variable transformations; univariate variables out of multivariate concepts; law making criteria; other legal uses. |
6. Week |
Graphical illustration of distributions; advantages and limitations; frequency polygon, frequency curve, histogram and allied depictions; open group treatment; graphical comparisons by legal research; points to ponder in legal research; prohibitions on graphical misuse. |
7. Week |
On defining properties of distributions; uses in law making basic research; classifying the properties; basic principles for measurement in the presentation and illustration of legal data; court work, expert decision and advice, and forensic studies using property measures. |
8. Week |
Properties of distributions according to the principle of centre of gravity; computations for simple, grouped and ungrouped distributions; measures of central tendency; arithmetic mean; legal comprehension underlying the mean concept. |
9. Week |
Specific means for special uses in law; geometric, harmonic and quadratic means; computations and mathematical facilitiesfor computations; limitations of use; related legal applications. (Around this time point, a mid-term exam might take place!) |
10. Week |
Measures of dispersion; basics of standard deviation idea; on uses of dispersion measures in law; variance and standard deviation; standardized dispersion measures; coefficient of variation; concept of similarity; mathematical and law based interpretation standards. |
11. Week |
On the concept of symmetry and asymmetry by distributions; skewness and its extent; measures of skewness; m’3 moment as a standardized measure of skewness; interpretation of skewness direction; kurtosis of distributions; measures of kurtosis; m’4 standardized measure; uses in legal work; interpretations. |
12. Week |
Subdividing a distribution by a specific ratio; requirements by legal discussions; dividing ratio point by grouped distributions; principle of dividing ratios to be applied to property measures; on the reverse question of subdivision; the median and midquartile; legal applications; interquartile range and allied measures. |
13. Week |
Standardised measures of dispersion through dividing ratios; coefficient of quartile variation; Yule’s coefficient of skewness; Kelley’s coefficient of kurtosis; legal work requirements, applications and interpretations; the identification concept behind the distributions according to applied principles. |
14. Week |
Principle of culmination and properties of distributions; mode as a measure of central tendency; multimodality and special cases; the need for antimode calculations and antimode; properties of nominal scaled distributions; ratio of variation; entropy; legal applications and uses in legal research; interpretations. |