Information Package

Program of Social Work

SW246

STATISTICS

Course Code
SW246
Semester
Fourth Term (Spring)
Theory+Practice
4 + 0
ECTS
4
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterFourth Term (Spring)
ECTS4
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. will be able to calculate and interpret descriptive statistics with examples and applications specific to the health field
  2. will be able to comprehend topics related to table construction and graph drawing, parameter estimation and confidence interval, and sampling distributions
  3. will be able to apply tests of conformity to normal distribution of data, tests of homogeneity of variances, and hypothesis tests for parametric and non-parametric single sample (dependent/independent), two samples, and more than two samples
  4. will be able to perform correlation analysis.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsThere is no recommended optional programme component for this course.
Course DescriptionThe aim of this course is to explain basic statistical concepts and methods.
Course Contents
WEEK TOPICS
1st Week Introduction to Statistics, Course Introduction
2nd Week Why is Statistics Necessary? What are the Types of Research? Data Measurement Format
3rd Week Frequency Distributions, Descriptive Statistics (Classification of Data, Central Tendency and Prevalence Measures)
4th Week Univariate and Multivariate Tables and Graphs (Examination and Interpretation of Relationships Between Variables with Tables and Graphs)
5th Week Hypothesis Tests, Test of Conformity to Normal Distribution, Test of Homogeneity of Variances
6th Week Hypothesis Tests: Parametric and Nonparametric Single Sample Tests
7th Week Application (Survey data entry, Analysis)
8th Week Midterm Exam
9th Week Hypothesis Tests: Independent Two Sample Tests (Parametric Tests)
10th Week Hypothesis Tests: Independent Two Sample Tests (Nonparametric Tests)
11th Week Hypothesis Tests: Dependent Two Sample Tests (Parametric/Nonparametric Tests)
12th Week Hypothesis Tests: Independent More Than Two Sample Tests (Parametric Tests)
13th Week Hypothesis Tests: Independent More Than Two Sample Tests (Nonparametric Tests)
14th Week Hypothesis Tests: Dependent More Than Two Sample Tests (Parametric/Nonparametric Tests)
15th Week Correlation Analysis (Parametric and Nonparametric Tests
Recommended or Required Reading1- Kirkwood, B.R. (1998). Essentials of Medical Statistics. Oxford. (Başkent Üniversitesi Kütüphanesinde mevcuttur. WA 950 K57 1998)
2- Mathews, D.E. ve Farewell, V.T. (1996). Using and Understanding Medical Statistics. (Başkent Üniversitesi Kütüphanesinde mevcuttur. (WA 950 M38 1996)
3- Daniel, W.W. ve Cross, C.L. (2013). Biostatistics a Foundation for Analysis in the Health Sciences. New York: John Wiley&Sons, Inc.
4- Alpar, R. (2016). Uygulamalı İstatistik ve Geçerlik-Güvenirlik. Ankara: Detay Yayıncılık
Planned Learning Activities and Teaching Methods
  • Lecture
  • Practice
  • Discussion
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 30 30
Preparation for Quiz
Individual or group work 2 20 40
Preparation for Final exam 1 40 40
Course hours
Preparation for Midterm exam
Laboratory (including preparation)
Final exam
Homework
Performance Practice 1 10 10
Total Work Load120
Total Work Load / 30 (h)4
ECTS Credit of the Course4
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1
K2
K3
K4 X X X X
K5
K6 X X X X
K7