Dentistry | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | DHF122 | ||||||||
Course Name: | Biostatistics | ||||||||
Course Semester: | Spring | ||||||||
Course Credits: |
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Language of instruction: | TR | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Faculty Elective | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Prof. Dr. DENİZ GÖKÇE MERAL | ||||||||
Course Lecturer(s): |
Öğr.Gör. CENGİZ BEŞOĞUL |
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Course Assistants: |
Course Objectives: | To teach the basic statistical concepts and methods with special examples and applications for dentistry, to provide students to understand and evaluate the literature in their field. |
Course Content: | 1. Basic concepts of biostatistics, 2. Descriptive statistics according to data type, 3. Graphs suitable for the data type, 4. Sample distribution and standard error, 5. Confidence intervals for statistics, 6. Hypothesis testing, 7. Correlation and simple linear regression analysis |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Presentation of the course to the students: Basic statistical concepts; statistics, biostatistics, usage areas of biostatistics, population, sample, statistics, parameters, data, variables, data types, etc. | |
2) | Descriptive Statistics : • Descriptive statistics calculated by variable type. • Descriptive statistics; data classification, measurements. • Dispersion measures. | |
3) | Single variable tables and graphs • Tables and graphs; interpret marginal table and graphs: histogram, bar graph, stem-leaf graph, box plot, mean-standard deviation graphs. | |
4) | Multivariate tables and Graphs • Multivariate tables and graphs; cross tables, multivariate applications of basic graphical representations, scatter plot, etc. | |
5) | Theoretical Distributions • Theoretical distributions: normal distribution, binomial distribution, poisson distribution. • normality tests and graphs. | |
6) | Sampling Distributions and confidence intervals • point estimation, standard error, confidence level and margin of error • standard error and margin of error • confidence intervals for means and proportions | |
7) | Practice before the midterm exam | |
8) | Mid term Exam | |
9) | Introduction To Hypothesis Tests – One-Sample Tests • the concepts of α and β. • the studies related to one sample. | |
10) | Independent Two-Sample Tests • two sample hypothesis tests about independent groups. • Interpret the result. | |
11) | Dependent Two-Sample Tests • two sample hypothesis tests about dependent groups. • Interpret the result. | |
12) | Independent More Than Two Sample Tests • more than two samples hypothesis tests about independent groups. • Interpret the result. | |
13) | Dependent More Than Two Sample Tests • more than two samples hypothesis tests about dependent groups. • Interpret the result. | |
14) | Correlation and Lineer Regression Analysis • relationship between variables. • simple regression model. • multiple linear regression models. • model proficiency. | |
15) | Practice before the final exam | |
16) | Final Exam |
Course Notes / Textbooks: | Ders notları haftalık bazda verilecektir. |
References: | 1. Andy Field, Discovering Statistics Using SPSS, SAGE Publications,2009. |
Learning Outcomes | 1 |
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Program Outcomes | |||||||
1) --- | |||||||
2) ... | |||||||
3) .... | |||||||
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No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | --- | 3 |
2) | ... | 2 |
3) | .... | 3 |
4) | ... | 2 |
5) | .... | 3 |
6) | ... | 2 |
Expression | |
Brainstorming/ Six tihnking hats | |
Lesson | |
Reading | |
Q&A / Discussion | |
Application (Modelling, Design, Model, Simulation, Experiment etc.) |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) |
Semester Requirements | Number of Activities | Level of Contribution |
Midterms | 1 | % 40 |
Final | 1 | % 50 |
Kanaat Notu | 1 | % 10 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 2 | 28 |
Study Hours Out of Class | 14 | 1 | 14 |
Midterms | 1 | 8 | 8 |
Final | 1 | 10 | 10 |
Total Workload | 60 |