At the end of this course, the students; 1) Analyze and intreprete the data in a quantitavie research 2) Get results in a study designed by himself/ herself using the SPSS package program and interpret them
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
In the biostatistics course, which is the application of statistical methods in health sciences, it is aimed to give students the ability to think statistically. This course focuses on the analysis of data collected by any method using statistical methods. Along with the theoretical explanation, applications will be made with SPSS, a statistical software program.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Overview and Introduction to the course topics, Importance of Health Research and Correct Planning, The Importance and Value of Biostatistics in the Field of Health
2nd Week
Types of Variables, Data and Scales, Sampling and Sampling Methods, Position and Variation Measures; Classification of Data; Frequency Distributions and Descriptive Measures (Mean, Median, Mode, Quartiles and Percentages, Standard Deviation, and Variance, Coefficient of Variation, Standard Error)
3rd Week
Presentation of Data and Methods of Table and Graphics, Marginal (Frequency) tables, crosstabs, relationship tables,Commonly used graphs in biostatistics (Histogram, Average-deviation graph, Box-Line graph, etc.)
4th Week
Probability Distributions; Probability Rules, Calculating Probabilities; Frequency Distributions and Some Theoretical Distributions ;Binomial, Poisson, Normal, Standard Normal distributions
5th Week
Sample Distribution and Confidence Interval
6th Week
Sampling Methods, Population and Sample, Ability of Sample to Represent the Population and Generalization, Sampling Error, Determination of Sample Size
7th Week
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; Normal,Distribution Fit test; Homogeneity test of variances
8th Week
INTRODUCTION TO STATISTICS SOFTWARE (SPSS)(Descriptive statistics (SPSS Applications))
9th Week
Hypothesis Tests Regarding Single Audience Mean, Two-Sample Hypothesis Tests,Significance Test of Difference Between Means in Independent Groups (Samples) (Significance test of difference between two means) ; (SPSS Applications)
10th Week
MIDTERM EXAM 1
11th Week
Two-Sample Hypothesis Tests, Hypothesis testing in Dependent Groups(Significance test of difference between two spouses)(SPSS Applications)
12th Week
More than Two Sample Hypothesis Tests, Chi-square Tests, One Way Analysis of Variance (One Way ANOVA)(SPSS Applications)
13th Week
Introduction to Correlation and Regression Analysis
14th Week
Introduction to Correlation and Regression Analysis (SPSS Applications)
RECOMENDED OR REQUIRED READING
1. Jerrold h. Dice. ?Biostatistical Analysis? forth edition, Prentice-Hall, Inc.1999. 2. Prof.Dr.Reha Alpar, ?APPLIED STATISTICS and VALIDITY-RELIABILITY with Examples from Sports, Health and Education Sciences? Detay Publishing, Ankara 2010. 3. Prof. Dr. Kazım Özdamar, ?Statistical Data Analysis with Package Programs I?, Anadolu University Faculty of Science Publication, 1997. 4. Prof. Dr. Kazım Özdamar, ?Biostatistics with SPSS?, Kaan Bookstore, 1999. 5. Joaquim P. Marquez de Sa, 2007: Applied Statistics Using SPSS, Statistica, Matlab and R, free e-book, Newyork.STATİSTİK ve VALIDITY-RELIABILITY? Detay Publishing, Ankara 2010. 6. Yüksel Terzi, 2012: Ondokuz Mayıs University Science-Ed. fac. Department of Statistics, SPSS Lecture Notes. 7. Lecture notes to be given by the lecturer of the course (oys.baskent.edu.tr (moodle).
