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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- |
Examination |
| LO-2 | Can develop model and hypothesis. |
PO- |
Examination |
| LO-3 | can use the analysis of variance and regression analysis in social researches. |
PO- |
Examination |
| LO-4 | Be able to apply some nonparametric tests and indexes |
PO- |
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 | ||