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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
BIOSTATISTICS NUT377 Fifth Term (Fall) 3 + 0 4

TYPE OF COURSE UNITCompulsory Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY3
SEMESTERFifth Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED4
NAME OF LECTURER(S)Professor Mehtap Akçil Ok
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) They gain statistical thinking skills
2) They gain the ability to choose the right statistical method
3) Analyzing data using statistical methods
4) They learn to make and interpret to evaluate data with statistical software
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONIn the biostatistics course, which is the application of statistical methods to the field of health, it is aimed to give students the ability to think statistically. Within the scope of this course, statistical analysis of data collected by any method and interpretation of results are emphasized. Along with the theoretical explanation, in-class applications will be made both manually and with a software program.
COURSE CONTENTS
WEEKTOPICS
1st Week Meet, Statistics and Biostatistics Introduction
2nd Week Field of Nutrition and Dietetics and Biostatistics Variables, Types of Data and Scales Descriptive Statistics Position and Measures of Change Classification of Data; Frequency Distributions and Descriptive Measures Mean, Median, Peak Value, Quarter and Percentiles, Standard Deviation and Variance, Coefficient of Change, Standard Error
3rd Week Creating Frequency Tables, Data Presentation and Table and Graphic Methods
4th Week Creating Crosstabs and Charts Simple two-column tables, extended tables, crosstabs, relationship tables, Bar chart, line chart, pie chart, histogram, scatter chart
5th Week Probability and Probability Distributions Binomial, Poisson, Normal, Standard Normal distributions, Sample Distributions
6th Week SAMPLE DISTRIBUTION CONTINUED Parameter Estimation and Confidence Interval Sampling Methods
7th Week MIDTERM
8th Week Introduction to Hypothesis (Significance) Tests Method of measurement of data, hypotheses, level of error, sample size, Dependency or independence of groups, test types and characteristics, Statistical decision, appropriate test selection
9th Week Introduction to Hypothesis (Significance) Tests CONTINUED INTRODUCTION TO STATISTICS SOFTWARE 1 (SPSS) Variable, data entry, calculation
10th Week INTRODUCTION TO STATISTICS SOFTWARE PROGRAM 2 (SPSS) Calculation continued; Descriptive statistics, table and graph
11th Week Normal Distribution Fit test Single Sample Hypothesis Test (t and Z test) (SPSS APPLICATION)
12th Week Significance of Difference Between Means in Independent Groups (Samples) Test (Significance test of difference between two means) Parametric and non-parametric Equivalent (SPSS APPLICATION)
13th Week Hypothesis testing of qualitative (categorical) variables -Chi-square test- Hypothesis testing in Dependent Groups (Significance test of the difference between two spouses) Parametric and non-parametric Equivalents
14th Week ANALYSIS OF VARIANCE (ANOVA) CORRELATION ANALYSIS
RECOMENDED OR REQUIRED READING1. Prof.Dr.Reha Alpar, ?Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle UYGULAMALI İSTATİSTİK ve GEÇERLİK-GÜVENİRLİK? Detay Yayıncılık, Ankara 2010.
2. Jerrold h. Zar. ?Biostatistical Analysis? forth edition, Prentice-Hall, Inc.1999.
3. Prof. Dr. Kazım Özdamar, ?Paket Programlar ile İstatistiksel Veri Analizi I?, Anadolu Üniversitesi Fen Fakültesi Yayını, 1997.
4. Prof. Dr. Kazım Özdamar, ?SPSS ile Biyoistatistik?, Kaan Kitapevi, 1999.
5. Prof. Dr. Aziz Akgül, , ?Tıbbi Araştırmalarda İstatistiksel Analiz Teknikleri-SPSS Uygulamaları-? Yükseköğretim Kurulu Matbaası, Ankara, 1997.
6. Dersin öğretim üyesi Prof. Dr. Mehtap Akçil Ok tarafından oys.baskent.edu.tr (moodle) öğrenme ve yönetim sisteminden verilen güncel ders notları ve diğer elektronik kitap vb. yardımcı kaynaklar.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Discussion,Questions/Answers,Problem Solving,Practice
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term135
Assignment115
Total(%)50
Contribution of In-term Studies to Overall Grade(%)50
Contribution of Final Examination to Overall Grade(%)50
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam111
Preparation for Quiz
Individual or group work
Preparation for Final exam12525
Course hours14342
Preparation for Midterm exam11515
Laboratory (including preparation)
Final exam122
Homework8216
Total Workload101
Total Workload / 303,36
ECTS Credits of the Course4
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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K9