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Description of Individual Course UnitsCourse Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | 140400104205 | STATISTICS-II | Compulsory | 2 | 4 | 4 |
| 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 | 1 | To be able to define the properites of estimators and importance in the theory of statistical estimation | 2 | To 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 | 5 | To be able to test hypothesis tests and confidence intervals by setting appropriate objectives | 6 | To be able to interpret regression models according to the the relationships | 7 | To 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 | |
1 | Confidence 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. | | | 4 | Hypothesis 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) | | | 5 | Hypothesis 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 | | | 6 | Chi- square goodness of fits test ( uniform, binom, poisson and normal),rxc independent test | | | 7 | Regression analysis: Simple linear regression, mean square estimation, the assumptions of linear regression | | | 8 | Mid-term | | | 9 | Analysis of variance for regression model, the estimation of coefficient of deternination and significant test, the estimation of correlaiton coefficient and significant test | | | 10 | One way and two way anova ( analysis of variance ) | | | 11 | Index 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 | | | 13 | Simple random sampling, Stratified sampling, cluster sampling, systematic sampling Introducing the Social Sciences Applications | | | 14 | Final | | |
| Recommended or Required Reading | Statistics for Business and Economics, Paul Newbold. | Planned Learning Activities and Teaching Methods | | Assessment Methods and Criteria | |
Midterm Examination | 1 | 100 | SUM | 100 | |
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 | Turkish | Work Placement(s) | None |
| Workload Calculation | |
Midterm Examination | 1 | 1 | 1 | Final Examination | 1 | 2 | 2 | Attending Lectures | 12 | 3 | 36 | Self Study | 5 | 3 | 15 | Individual Study for Mid term Examination | 1 | 30 | 30 | Individual Study for Final Examination | 1 | 40 | 40 | |
Contribution of Learning Outcomes to Programme Outcomes | LO1 | 4 | 4 | 4 | 4 | 4 | 5 | 4 | 4 | 5 | 5 | 4 | 5 | 5 | 4 | LO2 | 4 | 4 | 4 | 4 | 5 | 5 | 5 | 5 | 4 | 4 | 4 | 4 | 4 | 4 | LO3 | 4 | 5 | 5 | 5 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | LO4 | 4 | 4 | 4 | 3 | 4 | 3 | 4 | 4 | 5 | 4 | 4 | 4 | 4 | 4 | LO5 | 5 | 5 | 4 | 4 | 4 | 3 | 4 | 4 | 4 | 4 | 3 | 4 | 4 | 4 | LO6 | 4 | 4 | 4 | 4 | 4 | 3 | 4 | 4 | 5 | 4 | 4 | 3 | 5 | 5 | LO7 | 3 | 4 | 4 | 4 | 4 | 4 | 5 | 5 | 4 | 4 | 4 | 4 | 4 | 4 |
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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