
Description of Individual Course UnitsCourse Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  9304025162005  Computer Oriented Biostatistics I  Elective  1  2  6 
 Level of Course Unit  Second Cycle  Language of Instruction  Turkish  Objectives of the Course  To evaluation findings be obtained from the research, recognition of the basic statistical methods, to development the ability to apply and to classify data of the research according to a statistical program on computer and to acquire ability of criticize the research article in terms of statistical methods.  Name of Lecturer(s)  Prof. Dr. Aynur UYSAL TORAMAN, Doç. Dr. Şafak DAĞHAN  Learning Outcomes  1  To be able to explain of basic statistical concepts  2  To be able to knowledge of descriptive statistics criteria  3  To be able to encode the data on SPSS package program  4  To be able to interpret the data in tables and graphs  5  To be able to select appropriate statistical analysis method for a research  6  To be able to analysis the data by using appropriate statistical methods on SPSS package program  7  To be able to examine the research articles critical point of view with the methods of statistical analysis 
 Mode of Delivery  Face to Face  Prerequisites and corequisities  None  Recommended Optional Programme Components  None  Course Contents  Basic statistical concepts
Variables, descriptive statistical criteria
Editing tables and graphics on computer
SPSS program menus presentation and data entry
Application of parametric tests and the SPSS program
Nonparametric tests and SPSS application
Correlation analysis (correlation) and SPSS application  Weekly Detailed Course Contents  
1  The use of statistics in the field of health and the importance  Reading   2  Variables (qualitative, quantitative)
Nominal , ordinal (ordered), interval (spacing), proportional, discrete and continuous variables
Descriptive statistics
1Measures of central tendency (mean, median, mode, geometric mean) What time, which will use the criteria of central tendency
2Propagation criteria (range, standard deviation, variance, variation coefficient of variation, percentile, interquartile range)  Self Study   3  Normal distribution
Why is it important feature of the data distribution?
Distribution of the criteria (to the right, left skewness)
Distribution tests  Reading   4  Basic statistical concepts
Standard error of the sample, the standard deviation and standard error
Confidence interval and confidence limits
Hypothesis testing, pvalue, error level, the test statistic, the direction of the hypothesis
 Reading   5  Descriptive Graphics and Tables
Tables (oneway, twoway, nested multifaceted)
Graphs (histograms, line, pie, bar, relationship chart, graph boxer bag, stem leaf chart)
Computer assisted practice  Individual Study for Homework Problems   6  Parametric and Nonparametric Tests on SPSS packet program
OneGroup mean
Confidence limits
Student t test for one group mean  Individual Study for Homework Problems   7  What is the Independence and dependence?
Dependent on working arrangements with the two groups
Dependent for the two groups paired sample t test (parametric)
Dependent for the two groups the Wilcoxon test (nonparametric)  Individual Study for Homework Problems   8  Comparison of the mean of two independent groups
The two groups of the mean student t test (parametric)
The two groups of the mean MannWhitney U test (nonparametric)
Significancy test of the difference between two pairs  Individual Study for Homework Problems   9  Computer assisted practice  Individual Study for Homework Problems   10  Midterm Exam    11  Comparison of group averages more than two
Oneway of variance analysis (parametric)
Kruskall Wallis Oneway of variance analysis (nonparametric)  Individual Study for Homework Problems   12  Comparison of the Independent twogroup rate
Chisquare (Pearson, Fisher, Yates)
Comparison of the dependent group rates
Mc Nemar test,
Kappa statistics  Individual Study for Homework Problems   13  Correlation analysis
What is the Correlation?
Correlation coefficient, coefficient of determination
Correlation analysis  Individual Study for Homework Problems   14  Computer assisted practice  Individual Study for Homework Problems   15  Article on statistical evaluation and presentation  Criticising Paper   16  Final Exam   
 Recommended or Required Reading  1.Fox D., Fundamentals of Research in Nursing, New York, 1980
2.SEncer M, Sencer Y Toplumsal Araştırmalarda Yöntembilim, Türkiye ve Ortadoğu Amme İdaresi Ens. Yayınları, No: 172, Anakara, 1978
3.Williams M Y, Research Methodoly and It’s Application to Nursing, John Wiley Sons, New York, Toronto, 1981
4.Sümbüloğlu K, Sümbüloğlu, Bioistatistik Uygulam Kitabı, Çağ Matbaası,1986
5.Hayran M, Özdemir O, Bilgisayar İstatistik ve Tıp , Medar Hekimler Yayın Birliği, Anakara, 1996
6.Saunders B D, Trapp R G, Basic/Clinical Biostatic a Lange Medical Book, Prentice Hall, Int, Inc. USA, 1994
7.Barker D J, Çevirenler: Bertan M, Tezcan S, Pratik Epidemiyoloji 1976
8.Sümbülloğlu K, Sümbülloğlu V, Bioistatistik Çağ Matbaası 1987
9.Knap R, Basic Statistic for Nurses Second Edition, John Wiley Sono, New York, 1985
10.Abraham L I, Mezdam M D, Fitzpatrick J J, Statistics and Quantative Methods in Nursing Issues and Strategies for Research and 11Education, W B. Saunders Company, Philadelphia, London, Toronto 1989
12.Akgül A, Tıbbi Araştırmalarda İstatistiksel Analiz Teknikleri, SPSS Uygulamaları, Yükseköğretim Kurulu Matbaası, Ankara, 1997
13.Özdamar K, SPSS ile Biyoistatistik, 4. Baskı, Kaan Kitabevi, Eskişehir, 2001
14.Erefe İ, Hemşirelikte Araştırma: ilke Süreç ve Uygulamalar, HemarGe Derneği Yayını, İstanbul, 2002
15.Aksakoğlu G, Sağlık Bilimlerinde Araştırma Teknikleri ve Analiz Yöntemleri, DEÜ, Rektörlük Matbaası İzmir, 2001.
16.Polit D. F. (1996). Data Analysis& Statistics for nursing Research. Appleton &Lange, New york.  Planned Learning Activities and Teaching Methods  Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"  Assessment Methods and Criteria   Work Placement(s)  None 
 Workload Calculation 

Midterm Examination  1  1  1  Final Examination  1  1  1  Attending Lectures  12  3  36  Practice  2  3  6  Criticising Paper  1  5  5  Self Study  1  3  3  Individual Study for Homework Problems  14  3  42  Individual Study for Mid term Examination  1  10  10  Individual Study for Final Examination  1  10  10  Reading  14  5  70  
Contribution of Learning Outcomes to Programme Outcomes  LO1      4  5          4  LO2      5  5      4  5    4  LO3      4  4          4  LO4      5  5          4  LO5      5  5      5  5    4  LO6  4     5  5   4      4   4  LO7                
 * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High 



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