IST102


Course Title Course Code Program Level
Istatistics (English) IST102 Law B.A. / B.Sc.

Course Term
(Course Semester)
Teaching and Learning Methods
Credits
Theory Practice Lab Projects/Field Work Seminars/Workshops Other Total Credits ECTS Credits
02
(Spring)
14x2 35 77 2 2

Teaching Staff Prof. Dr. Hasan Işın DENER
Language of Instruction İngilizce (English)
Type Of Course Compulsory
Prerequisites No.
Recommended Optional Programme Component
Course Objectives In accordance with time limits, to teach basic statistical techniques of frequent reference for treatments of univariate distributions.
Course Content An quantitative introduction to descriptive statistics in legal work and law preparing activities
Learning Outcomes (LO) To realize an initial quantitative acquaintance of the law students to the statistical approaches on legal matters at the mathematical level of high schools.
Mode of Delivery Face to face
Course Outline
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.
Assessment
  Percentage(%)
Mid-term (%) 40
Quizes (%)
Homeworks/Term papers (%) 10
Practice (%)
Labs (%) 12
Projects/Field Work (%)
Seminars/Workshops (%)
Final (%) 60
Other (%)
Total(%) 100
Course Book (s) and/or References DENER, Hasan Işın: “Lecture Notes to Accompany the Introductory Course in Statistics for the Students of “Faculty of Law”, (Prepared in 10 successive issues), Second Edition, 188 pages, 2017. Additional lecture material in form of handouts.
Work Placement(s)
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO)

 

PQ

1

PQ2

PQ3

PQ4

PQ5

PQ6

PQ7

PQ8

PQ

9

PQ

10

PQ

11

PQ

12

PQ

13

O1

 

 

 

3

 

 

 

 

 

 

 

3

 

O2

3

 

 

 

 

 

 

 

 

 

 

4

 

O3

 

 

 

 

 

 

 

 

 

 

 

 

 

O4

2

 

 

 

 

 

 

 

 

 

 

 

 

O5

 

 

 

 

 

 

 

 

4