Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits İST001 STATISTICAL GRAPHICS METHODS Elective 2 3 3
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
 1 To construct the stem-and-leaf graph of a data set. 2 To decide whether the distribution of a data set symmetric or not. 3 To see the skewness of a distribution by using the given graph. 4 To draw experimental Q-Q plot to compare the distributions of two data sets. 5 To draw stem-and-leaf graphs to compare the distributions of two data sets. 6 To draw the theoretical Q-Q plot of a data set to investigate the fitness of a theoretical distribution. 7 To construct the quantile graph of data set. 8 To construct the density-trace function graph of data set. 9 To construct the boxplot of a data set. 10 To construct the histogram of a data set. 11 To construct the scatter plot of data set. 12 To 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
 Week Theoretical Practice Laboratory 1 Quantile graphs. 2 Symmetry graphs. 3 Density-trace function. 4 Problem solving. 5 Boxplot. 6 Stem and Leaf graphss. 7 Histogram. 8 Scatter Plot. 9 Midterm Exam. 10 Solving questions of midterm exam. 11 Emprical Q-Q plot. 12 Theoretical Q-Q plot. 13 Stem and leaf graph for two data sets. 14 Problem solving. 15 Revise 16 Final Exam.
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 Activities Quantity Weight Midterm Examination 1 100 SUM 100 End Of Term (or Year) Learning Activities Quantity Weight Final Sınavı 1 100 SUM 100 Term (or Year) Learning Activities 40 End Of Term (or Year) Learning Activities 60 SUM 100
Language of Instruction
Turkish
Work Placement(s)
None
 Activities Number Time (hours) Total Work Load (hours) Midterm Examination 1 2 2 Final Examination 1 2 2 Attending Lectures 14 3 42 Problem Solving 4 2 8 Individual Study for Homework Problems 4 5 20 Individual Study for Mid term Examination 1 20 20 Individual Study for Final Examination 1 20 20 TOTAL WORKLOAD (hours) 114
Contribution of Learning Outcomes to Programme Outcomes
 PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PO13 PO14 PO15 PO16 PO17 PO18 PO19 PO20 PO21 PO22 PO23 PO24 LO1 5 3 3 3 5 5 LO2 4 4 3 4 5 LO3 4 4 3 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 4 3 4 5
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High

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