Information Package

Program of Nutrition and Dietetics

NUT377

BIOSTATISTICS

Course Code
NUT377
Semester
Fifth Term (Fall)
Theory+Practice
3 + 0
ECTS
4
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study3
SemesterFifth Term (Fall)
ECTS4
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Gain statistical thinking skills
  2. Gain the ability to choose the right statistical method
  3. Analyzing data using statistical methods
  4. Learn to make and interpret to evaluate data with statistical software
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionIn 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
WEEK TOPICS
1st Week Introductions and course syllabus overview; Introduction to Statistics and Biostatistics
2nd Week The field of Nutrition and Dietetics and Biostatistics; types of variables, data, and scales; descriptive statistics; measures of central tendency and dispersion; data classification; frequency distributions and descriptive measures; mean, median, mode, quartiles and percentiles, standard deviation and variance, coefficient of variation, standard error
3rd Week Construction of frequency tables; data presentation; tabular and graphical methods
4th Week Construction of cross-tabulations and graphs; simple two-column tables, extended tables, cross-tabulations, contingency tables; bar charts, line graphs, pie charts, histograms, scatter plots
5th Week Probability and probability distributions; Binomial, Poisson, Normal, and Standard Normal distributions; sampling distributions
6th Week Republic Day
7th Week Sampling distributions; parameter estimation and confidence intervals; sampling methods
8th Week Midterm Exam
9th Week Introduction to hypothesis (significance) testing; data measurement levels, hypotheses, significance level, sample size, dependent vs. independent groups, types of tests and their characteristics, statistical decision-making, selecting the appropriate test; Introduction to SPSS 1 Variables, data entry, performing calculations
10th Week Introduction to SPSS (Part 2), continuing calculations; descriptive statistics, tables, and graphs
11th Week Test of normality, One-Sample Hypothesis Test (t-test and Z-test), SPSS application
12th Week Test of significance for the difference between means in independent groups (samples) (test of significance for the difference between two means), parametric and non-parametric counterparts, SPSS application
13th Week Hypothesis testing for qualitative (categorical) variables (Chi-square test), hypothesis tests for dependent groups (test of significance for the difference between paired samples), parametric and non-parametric counterparts, SPSS application
14th Week Analysis of Variance (ANOVA), correlation, SPSS application
Recommended or Required Reading1. Prof. Dr. Reha Alpar, ?Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle UYGULAMALI İSTATİSTİK ve GEÇERLİK-GÜVENİRLİK? Detay Yayıncılık, Ankara, Ocak 2016.
2. Prof. Dr. Kazım Özdamar, ?Paket Programlar ile İstatistiksel Veri Analizi I?, Nisan Kitabevleri Yayınları yenilenmiş 9.baskı, 2015.
3. Prof. Dr. Kazım Özdamar, ?Paket Programlar ile İstatistiksel Veri Analizi II?, Nisan Kitabevleri Yayınları 10.baskı, Ankara, 2021.
4. Prof. Dr. Aziz Akgül, , ?Tıbbi Araştırmalarda İstatistiksel Analiz Teknikleri-SPSS Uygulamaları-? Alfa Yayınları, 4.Baskı, Aralık 2021.
5. Jerrold h. Zar. ?Biostatistical Analysis? forth edition, Prentice-Hall, Inc.1999.
6. Dersin öğretim üyesi Prof. Dr. Mehtap Akçil Ok tarafından oys2.baskent.edu.tr (moodle) öğrenme ve yönetim sisteminden verilen güncel ders notları ve diğer elektronik kitap vb. yardımcı kaynaklar.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Problem Solving
  • Practice
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Assignment 1 20
Total(%) 55
Contribution of In-term Studies to Overall Grade(%) 55
Contribution of Final Examination to Overall Grade(%) 45
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz
Individual or group work 8 3 24
Preparation for Final exam 1 25 25
Course hours 14 3 42
Preparation for Midterm exam 1 14 14
Laboratory (including preparation)
Final exam 1 2 2
Homework 1 5 5
Total Work Load113
Total Work Load / 30 (h)3.76
ECTS Credit of the Course4
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1 X X X X
K2 X X X
K3 X X
K4
K5 X X X X
K6
K7 X X
K8 X X X X
K9