Nevşehir Hacı Bektaş Veli University Course Catalogue
|
|||||
| Year/Semester of Study | 2 / Fall Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Compulsory | ||||
| Department | ECONOMICS | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | AYLİN ALKAYA (aylin@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| The main objectives of this lesson are understanding of statistics terms and their application facilities;composing of numerical data ,deciding in an uncertainty circumstance and interpreting them in a logical way, determining which data analysis techniques should be used in certain conditions and revealing why and how are these techniques are used | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | can effectively use statistical methods |
PO-4 have theoretical and empirical information to analyze how to authorities, consumers and firms effect each other and how to make decision. PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis. PO-10 have ability on modeling the economic theories mathematically. |
Examination |
| LO-2 | can be know kind of data and variable |
PO-11 have ability on defining economic variables and comment on the relationships between these variables. |
Examination |
| LO-3 | be able to sampling |
PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis. PO-11 have ability on defining economic variables and comment on the relationships between these variables. PO-12 know the stages that need to apply in a research and do research. |
Examination |
| LO-4 | can understand the importance of statistics in social researches. |
PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis. PO-9 have ability on commenting current economic issues considering economic theory in the view of sociology. PO-12 know the stages that need to apply in a research and do research. |
Examination |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
|||
| Course Contents | ||
| What is Statistics, Introduction to Basic Terms, Measurability and Variability, Data Collection, Graphs , Measures of Central Tendency, Measures of Dispersion, Probability, Discrete and Continuous Random Variables, Discrete andContinuous Probability Distributions,Survey Sampling, Sampling and Sampling Distributions, Point Estimation, ?nterval Estimation, Hypothesis Testing, Linear Correlation and Regression Analysis, Indexses | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | What is Statistics, Introduction to Basic Terms, Measurability and Variability, | lecturing and problem solving |
| 2 | Data Collection, Graphs | lecturing and problem solving |
| 3 | Measures of Central Tendency | lecturing and problem solving |
| 4 | Measures of Dispersion | lecturing and problem solving |
| 5 | Probability ( What is Probability, Mutually exlucive events etc.) | lecturing and problem solving |
| 6 | Probability (Multiplication Rule, Sum of the Probabilities, Permutations, Kombinations, Bayes’Theorem) | lecturing and problem solving |
| 7 | Discrete Random Variables | lecturing and problem solving |
| 8 | mid-term exam | |
| 9 | Continuous Random Variables | lecturing and problem solving |
| 10 | Discrete Probability Distributions ( Uniform, Bernoulli, Binomial, Geometric) | lecturing and problem solving |
| 11 | Discrete Probability Distributions ( Uniform, Bernoulli, Binomial, Geometric) | lecturing and problem solving |
| 12 | Cotinuous Probability Distributions (Uniform, Explonantial, Normal, Standart Normal ) | lecturing and problem solving |
| 13 | Cotinuous Probability Distributions (Uniform, Explonantial, Normal, Standart Normal ) | lecturing and problem solving |
| 14 | Discrete Random Variables (Two Variables) | lecturing and problem solving |
| 15 | Continuous Random Variables (Two Variables ) | lecturing and problem solving |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Temel Örnekleme Yöntemleri ; Taro TAMANE, Çev: A. ESİN, C. AYDIN, M. A. BAKIR, E. GÜRBÜZSEL | |
| 2 | Olasılık ve İstatistik: Problemler ve Çözümleri ile; Semra Oral Erbaş | |
| 3 | Uygulamalı İstatistik 1-2 Özer SERPER | |
| 4 | İşletme ve İktisat İçin İstatistik, Paul NEWBOLD (Çeviren: Ümit Şenesen), Literatür Yayınları, 4. Baskı, İstanbul, 2000. | |
| 5 | Çıngı, H. Örnekleme Kuramı, H.Ü. Yayayınları, Ankar | |
| 6 | ESİN, A. EKNİ, M., GAMGAM, H. İstatistik, GAZİ KİTABEVİ. | |
| Required Course instruments and materials | ||
| All Statistics Books | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 1 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 16 | 2 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 1 | 14 | 14 |
| b) Search in internet/Library | 1 | 14 | 14 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 3 | 7 | 21 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 4 | 5 | 20 |
| final exam | 2 | 1 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 114 | ||