
Description of Individual Course UnitsCourse Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  İST207  COMPUTER APPLICATIONS IN STATISTICS II  Compulsory  2  3  2 
 Level of Course Unit  First Cycle  Objectives of the Course  To give basic concepts about statistics, to analyze these concepts by using some statistical softwares.  Name of Lecturer(s)  Doç. Dr. Hayal BOYACIOĞLU, Dr. Öğr. Üyesi Melis ZEYBEK  Learning Outcomes  1  To recognize some statistical softwares and to able to use them  2  To be able to work with data sets, to gain the ability of analytical thinking  3  To know levels which must be applied in a research and to gain the ability of making scientific research  4  To be able to analyze statistical concepts and methods by using statistical softwares  5  To make tables and graphics by using some statistical softwares  6  To be able to make relation among statistical concepts  7  To be able to apply statistical analysis methods  8  To gain the ability of interpreting efficiently, fastly, and correctly results of statistical analysis and presenting them 
 Mode of Delivery  Face to Face  Prerequisites and corequisities  None  Recommended Optional Programme Components  None  Course Contents  Interval Estimation , Hypothesis Tests, Chi Square Test, Analysis of Variance,, Regression Analysis, Correlation With Statistical Software (PSPP, EXCEL, SPSS, MINITAB...)  Weekly Detailed Course Contents  
1  Presentation of the course, its purpose, its content and references
   2  Confidence interval for the mean (population variance known, population variance unknown)    3  Confidence interval for proportion, variance and standard deviation    4  Confidence interval for a mean difference between independent samples (population variance known, population variance unknown)    5  Confidence Interval for a mean difference between paired samples    6  Confidence interval for the difference of two proportions
Confidence interval for the ratio of two variances
   7   Hypothesis test for the mean(population variance known, population variance unknown
 Hypothesis test for proportion, variance and standard deviation
   8  Hypothesis test for a mean difference between independent samples (population variance known, population variance unknown)
 Hypothesis test for a mean difference between paired samples (paired sample t test)
   9  Midterm Exam    10  Hypothesis test for the difference of two proportions
Hypothesis test for the ratio of two variances
   11  ChiSquare test    12  Oneway analysis of variance(ANOVA)    13  Oneway analysis of variance(ANOVA)    14  Regression analysis, Correlation    15  Regression analysis, Correlation
   16  Final Exam   
 Recommended or Required Reading  Özdamar, K., (2010) PASW ile Biyoistatistik, Kaan Kitabevi, Eskişehir.
 Özdamar, K., (2004) Paket Programlar ile İstatistiksel Veri Analizi (Cilt 1),Kaan Kitabevi, Eskişehir.
 Ünver, Ö., Gamgam, H., Altunkaynak, B., (2013) Temel İstatistik Yöntemler (SPSS Uygulamalı), Seçkin Kitabevi, Ankara
 Gürkan, O., (2010), Excel 2010, Nirvana Yayınevi, Ankara
 Bluman, A.G., (2004) Elementary Statistics, McGrawHill.
 Planned Learning Activities and Teaching Methods   Assessment Methods and Criteria  
Midterm Examination  1  100  SUM  100  
Final Sınavı  1  100  SUM  100  Term (or Year) Learning Activities  40  End Of Term (or Year) Learning Activities  60  SUM  100 
 Language of Instruction   Work Placement(s)  None 
 Workload Calculation 

Midterm Examination  1  2  2  Final Examination  1  2  2  Attending Lectures  14  2  28  Self Study  12  1  12  Individual Study for Mid term Examination  2  4  8  Individual Study for Final Examination  4  2  8  
Contribution of Learning Outcomes to Programme Outcomes  LO1                 5          LO2      5      5                LO3           4                LO4                      5     LO5                      5     LO6              4             LO7                      4     LO8      5                 4    
 * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High 



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