Mersin Üniversitesi
Ders Bilgileri
| STATISTICS I | ||||||
|---|---|---|---|---|---|---|
| Kodu | Dönemi | Teori | Uygulama | Ulusal Kredisi | AKTS Kredisi | |
| Saat / Hafta | ||||||
| BUS293 | Fall | 3 | 0 | 3 | 5 | |
| Ön Koşulu Olan Ders( ler ) | None |
| Dili | en |
| Türü | Required |
| Seviyesi | Bachelor's |
| Öğretim Elemanı( ları ) | Prof. Dr. Tevfik AYTEMİZ |
| Öğretim Sistemi | Face to Face |
| Önerilen Hususlar | None |
| Staj Durumu | None |
| Amacı | Provide students with basic knowledge of probability, statistical concepts and tools to make realistic decisions in their professional life. |
| İçeriği | Probability theory, random variables, probability distributions, statistical series, descriptive statistics. |
Dersin Öğrenim Çıktıları
| # | Öğrenim Çıktıları |
|---|---|
| 1 | Define the basic probability and statistical concepts. |
| 2 | Assess the probability of a random event. |
| 3 | Define the basic properties of probability density and cumulative distribution functions of random variables. |
| 4 | Calculate and interpret the expected value and the variance of random variables. |
| 5 | Define the basic properties of probability distributions and differentiate between them. |
| 6 | Determine appropriate probability distributions for the random events experienced in business management today and calculate the probabilities of such events. |
| 7 | Construct and interpret statistical series, ferquency tables and charts from a given set of data. |
| 8 | Calculate and interpret descriptive statistics from a given set of data. |
Haftalık Ayrıntılı Ders İçeriği
| # | Konular | Öğretim Yöntem ve Teknikleri |
|---|---|---|
| 1 | Introduction to Statistics | Lecturing, Discussion |
| 12 | Statistical Series | Lecturing, Guided Problem Solving |
| 13 | Frequency Tables and Graphs | Lecturing, Guided Problem Solving |
| 14 | Descriptive Statistics: Measures of Central Tendency | Lecturing, Guided Problem Solving |
| 15 | Descriptive Statistics: Measures of Variability | Lecturing, Guided Problem Solving |
| 2 | Basic Probability Concepts and Random Events | Lecturing, Discussion |
| 3 | Probability Assessment Methods | Lecturing, Guided Problem Solving |
| 8 | Mid-term Exam | Written Exam |
| 4 | Discrete and Continuous Random Variables | Lecturing, Discussion |
| 5 | Probability Density and Cumulative Distribution Functions | Lecturing, Guided Problem Solving |
| 6 | Expected Value | Lecturing, Guided Problem Solving |
| 7 | Variance | Lecturing, Guided Problem Solving |
| 9 | Basic Properties of Probability Distributions | Lecturing, Discussion |
| 10 | Some Discrete Probability Distributions | Lecturing, Guided Problem Solving |
| 11 | Some Continuous Probability Distributions | Lecturing, Guided Problem Solving |
| 16 | Final Exam | Written Exam |
Resources
| # | Malzeme / Kaynak Adı | Kaynak Hakkında Bilgi | Referans / Önerilen Kaynak |
|---|---|---|---|
| 1 | Newbold, P. Carlson, W. and Thorne, B. (2012). Statistics for Business and Economics. 8th Edition, NewJersey: Perntice Hall. | Reference Textbook | |
| 2 | Anderson, D. R. Sweeney, D. J. Williams, T. A. Camm, J. D. Cochran, J. J. J. (2013). Statistics for Business & Economics. 12th Edition, Ohio: South Western Cengage Learning. | Suggested Textbook |
Ölçme ve Değerlendirme Sistemi
| # | Ağırlık | Çalışma Türü | Çalışma Adı |
|---|---|---|---|
| 1 | 0.4 | 1 | 1. Mid-Term Exam |
| 2 | 0.6 | 5 | Final Exam |
Dersin Öğrenim Çıktıları ve Program Yeterlilikleri ile İlişkileri
| # | Öğrenim Çıktıları | Program Çıktıları | Ölçme ve Değerlendirme |
|---|---|---|---|
| 1 | Define the basic probability and statistical concepts. | 5͵9 | 1͵2 |
| 2 | Assess the probability of a random event. | 8͵9͵10 | 1͵2 |
| 3 | Define the basic properties of probability density and cumulative distribution functions of random variables. | 5͵9 | 1͵2 |
| 4 | Calculate and interpret the expected value and the variance of random variables. | 8͵9͵10 | 1͵2 |
| 5 | Define the basic properties of probability distributions and differentiate between them. | 5͵9 | 1͵2 |
| 6 | Determine appropriate probability distributions for the random events experienced in business management today and calculate the probabilities of such events. | 8͵9͵10 | 1͵2 |
| 7 | Construct and interpret statistical series, ferquency tables and charts from a given set of data. | 8͵9͵10 | 1͵2 |
| 8 | Calculate and interpret descriptive statistics from a given set of data. | 8͵9͵10 | 1͵2 |
Not: Ölçme ve Değerlendirme sütununda belirtilen sayılar, bir üstte bulunan Ölçme ve Değerlerndirme Sistemi başlıklı tabloda belirtilen çalışmaları işaret etmektedir.
İş Yükü Detayları
| # | Etkinlik | Adet | Süre (Saat) | İş Yükü |
|---|---|---|---|---|
| 0 | Course Duration | 14 | 3 | 42 |
| 1 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 3 | 42 |
| 2 | Presentation and Seminar Preparation | 0 | 0 | 0 |
| 3 | Web Research, Library and Archival Work | 0 | 0 | 0 |
| 4 | Document/Information Listing | 0 | 0 | 0 |
| 5 | Workshop | 0 | 0 | 0 |
| 6 | Preparation for Midterm Exam | 1 | 14 | 14 |
| 7 | Midterm Exam | 1 | 1 | 1 |
| 8 | Quiz | 0 | 0 | 0 |
| 9 | Homework | 0 | 0 | 0 |
| 10 | Midterm Project | 0 | 0 | 0 |
| 11 | Midterm Exercise | 0 | 0 | 0 |
| 12 | Final Project | 1 | 0 | 0 |
| 13 | Final Exercise | 0 | 0 | 0 |
| 14 | Preparation for Final Exam | 1 | 25 | 25 |
| 15 | Final Exam | 1 | 1 | 1 |
| 125 | ||||