- Course Code
- SW246
- Semester
- Fourth Term (Spring)
- Theory+Practice
- 4 + 0
- ECTS
- 4
| Course Type | Compulsory Course |
| Course Level | Bachelor's Degree |
| Year of Study | 2 |
| Semester | Fourth Term (Spring) |
| ECTS | 4 |
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- will be able to calculate and interpret descriptive statistics with examples and applications specific to the health field
- will be able to comprehend topics related to table construction and graph drawing, parameter estimation and confidence interval, and sampling distributions
- 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
- will be able to perform correlation analysis.
|
| Mode of Delivery | Face to face |
| Prerequisites | No |
| Recommended Optional Programme Components | There is no recommended optional programme component for this course. |
| Course Description | The 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 Reading | 1- 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 |
|
|
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| Preparation for Midterm exam |
|
|
|
| Laboratory (including preparation) |
|
|
|
| Final exam |
|
|
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| Homework |
|
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| Performance Practice |
1 |
10 |
10 |
| Total Work Load | 120 |
| Total Work Load / 30 (h) | 4 |
| ECTS Credit of the Course | 4 |
|
| Language of Instruction | Turkish |
| Work Placement(s) | No |
Programme Qualifications / Learning Outcomes
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LO1 |
LO2 |
LO3 |
LO4 |
| K1 |
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| K2 |
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| K3 |
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| K4 |
X |
X |
X |
X |
| K5 |
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| K6 |
X |
X |
X |
X |
| K7 |
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