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Description of Individual Course Units| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | 190400706106 | STATISTIC II | Elective | 3 | 6 | 3 |
| | Level of Course Unit | | First Cycle | | Objectives of the Course | | Data to make statistical evaluations, review, existence, basic accounts and formulations
| | Name of Lecturer(s) | | | 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 properites of estimators and importance in the theory of statistical estimation
| | 3 | To be able to define the populations according to the representative sample taken
| | 4 | To be able to define the populations according to the representative sample taken
| | 5 | To be able to establish the relationship between probability distributions and hypothesis testing
| | 6 | To be able to establish the relationship between probability distributions and hypothesis testing
| | 7 | To be able to propose appropriate regression models the dependent and independent variables
| | 8 | To be able to propose appropriate regression models the dependent and independent variables
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| | Mode of Delivery | | Daytime Class | | Prerequisites and co-requisities | | - | | Recommended Optional Programme Components | | - | | 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 | Chi- square goodness of fits test ( uniform, binom, poisson and normal),rxc independent test | - | - | | 8 | Regression analysis: Simple linear regression, mean square estimation, the assumptions of linear regression | - | - | | 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 | Simple random sampling, Stratified sampling, cluster sampling, systematic sampling Introducing the Social Sciences Applications | - | - |
| | Recommended or Required Reading | | Anadolu University Publications | | 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) | | - |
| | Workload Calculation | |
| Midterm Examination | 1 | 1 | 1 | | Final Examination | 1 | 1 | 1 | | Attending Lectures | 1 | 20 | 20 | | Individual Study for Mid term Examination | 3 | 10 | 30 | | Individual Study for Final Examination | 5 | 10 | 50 | |
| Contribution of Learning Outcomes to Programme Outcomes | | LO1 | 5 | | LO2 | 4 | | LO3 | 4 | | LO4 | 4 | | LO5 | | | LO6 | | | LO7 | | | LO8 | |
| | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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