Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST207COMPUTER APPLICATIONS IN STATISTICS IICompulsory232
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
1To recognize some statistical softwares and to able to use them
2To be able to work with data sets, to gain the ability of analytical thinking
3To know levels which must be applied in a research and to gain the ability of making scientific research
4To be able to analyze statistical concepts and methods by using statistical softwares
5To make tables and graphics by using some statistical softwares
6To be able to make relation among statistical concepts
7To be able to apply statistical analysis methods
8To 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
WeekTheoreticalPracticeLaboratory
1Presentation of the course, its purpose, its content and references
2Confidence interval for the mean (population variance known, population variance unknown)
3Confidence interval for proportion, variance and standard deviation
4Confidence interval for a mean difference between independent samples (population variance known, population variance unknown)
5Confidence 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)
9Midterm Exam
10-Hypothesis test for the difference of two proportions -Hypothesis test for the ratio of two variances
11Chi-Square test
12One-way analysis of variance(ANOVA)
13One-way analysis of variance(ANOVA)
14Regression analysis, Correlation
15Regression analysis, Correlation
16Final 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, McGraw-Hill.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14228
Self Study12112
Individual Study for Mid term Examination248
Individual Study for Final Examination428
TOTAL WORKLOAD (hours)60
Contribution of Learning Outcomes to Programme Outcomes
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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
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr