Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST001STATISTICAL GRAPHICS METHODSElective233
Level of Course Unit
First Cycle
Objectives of the Course
To introduce the statistical graphical methods.
Name of Lecturer(s)
Assist. Prof. Dr. Halil TANIL
Learning Outcomes
1To construct the stem-and-leaf graph of a data set.
2To decide whether the distribution of a data set symmetric or not.
3To see the skewness of a distribution by using the given graph.
4To draw experimental Q-Q plot to compare the distributions of two data sets.
5To draw stem-and-leaf graphs to compare the distributions of two data sets.
6To draw the theoretical Q-Q plot of a data set to investigate the fitness of a theoretical distribution.
7To construct the quantile graph of data set.
8To construct the density-trace function graph of data set.
9To construct the boxplot of a data set.
10To construct the histogram of a data set.
11To construct the scatter plot of data set.
12To compare the distributions of two or more data sets by using the given graphs.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Quantile graph. Symmetry graph. Density-trace function. Boxplot. Stem and Leaf graph. Histogram. Scatter plot. Emprical Q-Q plot. Theoretical Q-Q plot. Stem and leaf graph for two data sets.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Quantile graphs.
2Symmetry graphs.
3Density-trace function.
4Problem solving.
5Boxplot.
6Stem and Leaf graphss.
7Histogram.
8Scatter Plot.
9Midterm Exam.
10Solving questions of midterm exam.
11Emprical Q-Q plot.
12Theoretical Q-Q plot.
13Stem and leaf graph for two data sets.
14Problem solving.
15Revise
16Final Exam.
Recommended or Required Reading
Chambers J.M., Cleveland W.S, Kleiner B., Tukey P.A., 1983. Graphical Methods for Data Analysis. Bell Telephone Lab. Inc. Murray Hill, New Jersey.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14342
Problem Solving428
Individual Study for Homework Problems4520
Individual Study for Mid term Examination12020
Individual Study for Final Examination12020
TOTAL WORKLOAD (hours)114
Contribution of Learning Outcomes to Programme Outcomes
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LO1    5 3  3   3 5    5   
LO2         4  43  4   5   
LO3         4  43  4   5   
LO4    5 3  3   3 5    5   
LO5    5 3  3   3 5    5   
LO6    5 3  3   3 5    5   
LO7    5 3  3   3 5    5   
LO8    5 3  3   3 5    5   
LO9    5 3  3   3 5    5   
LO10    5 3  3   3 5    5   
LO11    5 3  3   3 5    5   
LO12         4  43  4   5   
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr