Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
140400104205STATISTICS-IICompulsory244
Level of Course Unit
First Cycle
Objectives of the Course
Economics and business data to make statistical evaluations, review, existence, basic accounts and formulations, to gain skills to use statistical results and statistical reasoning to develop.
Name of Lecturer(s)
Prof. Dr. Ecevit EYDURAN
Learning Outcomes
1To be able to define the properites of estimators and importance in the theory of statistical estimation
2To be able to define the populations according to the representative sample taken
3 To be able to establish the relationship between probability distributions and hypothesis testing
4 To be able to propose appropriate regression models the dependent and independent variables
5To be able to test hypothesis tests and confidence intervals by setting appropriate objectives
6To be able to interpret regression models according to the the relationships
7To be able to identify representative sample for populations
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Statistical estimation, hypothesis testing, chi-square test, analysis of correlation and regression, analysis of variance and indexes.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Confidence Intervals: For populations means , population is normal :population variance is known, Student t distribution, For populations means , population is normal :population variance is not known, For population proprotions.
2 Chi-spuare distribution, Confidence interval for population variance, population are normal, Confidence inreval for the difference of two populations means , populations are normal, Confidence interval for paired samples which are normal, Confidence interval for the difference of two independent sample means
3 Confidence interval for the difference of two populations proprotions. (large samples), Sample size for the confidence interval for population means , population is normal, population variance is known, samples size for the confidence interval for the population proprotion.
4Hypothesis Testing: basic consepts, hypothesis testing for normal population mean: population variance is known, hypothesis testing for normal population mean: population variance is not known, ( small and large samples ), hypothesis testing for population proportion( large samples)
5Hypothesis testing for normal population variance, hypothesis testing for two populations means: Paired Saples, Independent Samples, hypothesis testing for two population proportions, F distibution, hypothesis testing of two populations variances, calculation of type II error
6Chi- square goodness of fits test ( uniform, binom, poisson and normal),rxc independent test
7Regression analysis: Simple linear regression, mean square estimation, the assumptions of linear regression
8Mid-term
9Analysis of variance for regression model, the estimation of coefficient of deternination and significant test, the estimation of correlaiton coefficient and significant test
10One way and two way anova ( analysis of variance )
11Index Number : A simple index, Chain Index, Time and Space Indexes, Fixed Based Index, Variable-Based Index, an index to the other transition, main (base) Circuit Identification, indexes Average, Weighted Indexes, Some Important Indexes
12 Time Series Analysis and Estimating: A Time Series Components, Moving Averages, Determination of the Effect of Seasonal Using Moving Averages
13Simple random sampling, Stratified sampling, cluster sampling, systematic sampling Introducing the Social Sciences Applications
14Final
Recommended or Required Reading
Statistics for Business and Economics, Paul Newbold.
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
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination122
Attending Lectures12336
Self Study5315
Individual Study for Mid term Examination13030
Individual Study for Final Examination14040
TOTAL WORKLOAD (hours)124
Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476 226 13 14 • e-mail: info@igdir.edu.tr