Course Information Semester Course Code Course Title T+P+L Credit ECTS 5 99500008 Sağlıkta Araştırma ve Biyoistatistik 2+0+2 3 3 Course Details Language : Turkish Level : Bachelor's Degree Department / Program : Physical Therapy and Rehabilitation Mode of Delivery : Face to Face Type : Compulsory Objectives : Basic statistical concepts, descriptive statistics, creating and interpreting tables and graphics, basic sampling methods, concepts of standard error and confidence intervals, hypothesis testing, correlation and simple to teach linear regression analysis. Content : Basic statistical concepts, Descriptive statistics, Tables and graphs, Sampling methods, Normal distribution and hypothesis tests, Correlation and regression analysis Methods & Techniques : Prerequisites and co-requisities : None Course Coordinator : Asist Prof.Dr. Ahmet ÇALIK Name of Lecturers : None Assistants : None Work Placement(s) : No Recommended or Required Reading Resources : Sümbüloglu K ve Sümbüloğlu V. Biyoistatistik. Somgür Yayıncılık, Ankara, 2013.Özdamar K. SPSS ile Biyoistatistik. Kaan Kitabevi, Eskişehir, 2015 Course Category Mathematics and Basic Sciences 50% Health 50% In-Term Study Informations In-Term Studies Quantity Percentage Mid-terms 1 40% Final examination 1 60% Total 2 100% Activity Informations Activities Quantity Duration Total Work Load Course Duration 14 2 28 Hours for off-the-c.r.stud 14 3 42 Mid-terms 1 5 5 Final examination 1 8 8 Total Work Load ECTS: 3 83 Course Learning Outcomes Upon the successful completion of this course, students will be able to: No Learning Outcomes 1 Students know basic biostatistics concepts, calculate descriptive statistics appropriate to data 2 Students choose the appropriate hypothesis test, apply and interpret Weekly Detailed Course Contents Week Topics 1 Basic statistical concepts statistics, biostatistics, usage areas of biostatistics, universe, sample, statistics, parameters, data, variables, data types 2 Descriptive statistics classification of data, mean and position measures, prevalence measures. 3 Tables and graphics univariate table (marginal table) and graphs: histogram, bar graph, branch-leaf graph, box-line graph, mean-standard deviation graphs 4 Two / multi variable tables and graphs Cross tabulations, multivariable applications of basic graphical representations, scatter graphs 5 Normal distribution 6 Sampling methods, Standard error and confidence intervals 7 Midterm 8 Introduction to hypothesis testing: the aim, steps, errors, p and alpha values ??of hypothesis testing, decision making process, parametric and nonparametric hypothesis tests. 9 Hypothesis Testing: single sample tests 10 Hypothesis Testing: two independent sample tests 11 Hypothesis Testing: two dependent sample tests 12 Hypothesis Testing: dependent and independent K sample tests 13 Correlation and regression analysis 14 An overview Contribution of Learning Outcomes to Programme Outcomes P1P2P3P4P5P6P7P8P9P10P11 All 3114554 C1 3114554 C2 3114554 bbb
