Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 2 / Spring Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Compulsory | ||||
| Department | BUSINESS ADMINISTRATION | ||||
| 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 analys?s 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 effective use statistical methods |
PO-12 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-18 Have the ability to work with disciplinary and interdisciplinary teams; to be open to change and innovation, to be entrepreneur, to gain life-long learning; to have leadership qualities and to make analytical communication with managers and specialists in other fields. |
Examination |
| LO-2 | Can develop model and hypothesis. |
PO-12 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-13 It helps the students model their decision-making problem about life using the linear programming techniques, solve the simplex and transportation problems and interpret the outcomes in terms of technical and economical. |
Examination |
| LO-3 | can use the analysis of variance and regression analysis in social researches. |
PO-12 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-20 Use research methods and techniques for writing a thesis or doing scientific research. |
Examination |
| LO-4 | Be able to apply some nonparametric tests and indexes |
PO-12 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-20 Use research methods and techniques for writing a thesis or doing scientific research. |
Examination |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Survey Sampling, Sampling and Sampling Distributions, Estimation theory: Point Estimation, Interval Estimation, Hypothesis Testing, Analysis of Variance, Linear Correlation and Regression Analysis, Statistical Inference, Indexsis Some Nonparametric tests | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Probability Distributions | lecturing and problem solving |
| 2 | Estimation (Point Estimation) | lecturing and problem solving |
| 3 | Estimation (İnterval Estimation) | lecturing and problem solving |
| 4 | Hypothesis Testing (one Sample) | lecturing and problem solving |
| 5 | Hypothesis Testing (Two Samples) | lecturing and problem solving |
| 6 | Analysis of Variance | lecturing and problem solving |
| 7 | Course Evaluation | lecturing and problem solving |
| 8 | mid-term exam | |
| 9 | Chi-square Analysis | lecturing and problem solving |
| 10 | Sampling | lecturing and problem solving |
| 11 | Sampling | lecturing and problem solving |
| 12 | Covariance and correlation analysis | lecturing and problem solving |
| 13 | Regression Analysis | lecturing and problem solving |
| 14 | Regression Analysis | lecturing and problem solving |
| 15 | Course Evaluation | lecturing and problem solving |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Özer Serper, Uygulamalı İstatistik 1-2, Bursa: Ezgi Kitabevi, 2004 | |
| 2 | Seda Şengül ve Gülsen Kral (Eds.), İstatistik, İstanbul: Lisans Yayıncılık, 2010 | |
| 3 | Hülya Tütek ve Şevkinaz Gümüşoğlu, İşletme İstatistiği, İstanbul: Beta Basım Yayım, 2011 | |
| 4 | Murray R. Spiegel/ Larry J. Stephens, İstatistik, (Çevirenler: Alptekin ESİN ve Salih ÇELEBİOĞLU), Ankara: Nobel Yayın Dağıtım, 2003 | |
| Required Course instruments and materials | ||
| Elementary 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 | 3 | 10 | 30 |
| b) Search in internet/Library | 2 | 5 | 10 |
| c) Performance Project | 3 | 2 | 6 |
| 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 | 4 | 3 | 12 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 3 | 4 | 12 |
| final exam | 2 | 1 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 115 | ||