Information Package
baskent.edu.tr

Program of Guidance and Psychological Counselling (Turkish)

EDS205

APPLIED STATISTICS

Course Code
EDS205
Semester
Third Term (Fall)
Theory+Practice
2 + 2
ECTS
6
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterThird Term (Fall)
ECTS6
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Uses the basic concepts and techniques of descriptive statistics to understand data sets,
  2. Interpret theoretical statistical distributions,
  3. Summarizes data sets with tables, graphs, etc,
  4. Transfers (converts) numerical data in different formats from one format to another,
  5. Selects and uses statistical analysis appropriate to the research question through appropriate statistical package programs,
  6. Summarizes data sets with appropriate statistical analysis and interprets the results,
  7. Improves a general insight into the use of statistics in the social sciences.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionIn this course, basic statistical concepts and issues related to the use of statistical techniques at a basic level and applications in social sciences research are discussed. At the end of the course, students are expected to develop basic concepts related to statistics, calculate descriptive statistics and standard scores and interpret them within the scope of normal distribution properties, summarize the data with appropriate graphics, perform correlation, simple linear regression analysis, test hypothesis tests with z and t distributions in one and two sample groups and interpret the results, decide on the appropriate statistical analysis to answer the research question and interpret the results by performing the analysis through appropriate statistical package programs.
Course Contents
WEEK TOPICS
1st Week What is Statistics and What is it Used for? Basic Concepts
2nd Week Defining variables and Data entry in SPSS
3rd Week Descriptive Statistics Measures of Central Tendency and Dispersion
4th Week Graphical Representation of Data Obtained with Equal Interval and Ratio Scale: Histogram
5th Week Other Graphical Representations that can be used to make sense of the data: Pie Chart, Bar Chart, Line Chart
6th Week Percentile Score, Standard scores (Z Score and T Score)
7th Week Normal Distribution - Skewness - Kurtosis - Use of Z - Table
8th Week Midterm Exam Week
9th Week Normal Distribution - Skewness - Kurtosis - Use of Z - Table
10th Week Relational Analyses: Scatter Plot, Correlation and Regression
11th Week Relational Analyses: Scatter Plot, Correlation and Regression
12th Week Central Limit Theorem and hypothesis testing: One sample tests
13th Week Central Limit Theorem and hypothesis testing: One sample tests
14th Week Central Limit Theorem and hypothesis testing: Two sample tests
15th Week Central Limit Theorem and hypothesis testing: Two sample tests
Recommended or Required Reading1) Arıcı, H. (2006). İstatistik Yöntemler ve Uygulamalar. Ankara: Meteksan Matbaacılık.
2) Baykul, Y. ve Güzeller C. O. (2020). Sosyal Bilimler İçin İstatistik: Spss Uygulamalı. Ankara: Pegem Akademi Yayıncılık. (TURCADEMY)
3) Hinkle, D. E., Wiersma, W. and Jurs, S. G. (1988). Applied Statistics for the Behavioral Sciences. Boston: Houghton Mifflin Company.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Practice
  • Other
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 5 30
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 5 2 10
Individual or group work 13 3 39
Preparation for Final exam 1 18 18
Course hours 13 4 52
Preparation for Midterm exam 1 14 14
Laboratory (including preparation) 7 2 14
Final exam 1 2 2
Homework 5 3 15
Performance Practice 7 2 14
Total Work Load180
Total Work Load / 30 (h)6
ECTS Credit of the Course6
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3 LO4 LO5 LO6 LO7
K1
K2
K3
K4 X X X X X X X
K5
K6 X X X X X X X
K7
K8
K9 X
K10