          Description of Individual Course Units
 Course 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 co-requisities
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
 Week Theoretical Practice Laboratory 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 Chi-Square test 12 One-way analysis of variance(ANOVA) 13 One-way analysis of variance(ANOVA) 14 Regression analysis, Correlation 15 Regression analysis, Correlation 16 Final Exam
-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, McGraw-Hill.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
 Term (or Year) Learning Activities Quantity Weight Midterm Examination 1 100 SUM 100 End Of Term (or Year) Learning Activities Quantity Weight Final Examination 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 