Mersin Üniversitesi
Ders Bilgileri
| STATISTICS II | ||||||
|---|---|---|---|---|---|---|
| Kodu | Dönemi | Teori | Uygulama | Ulusal Kredisi | AKTS Kredisi | |
| Saat / Hafta | ||||||
| İBY216 | Spring | 3 | 0 | 3 | ||
| Ön Koşulu Olan Ders( ler ) | None |
| Dili | en |
| Türü | Required |
| Seviyesi | Bachelor's |
| Öğretim Elemanı( ları ) | Öğr. Gör. Vedia Bennu GİLAN |
| Öğretim Sistemi | Face to Face |
| Önerilen Hususlar | None |
| Staj Durumu | None |
| Amacı | Toapply basic concepts of management to business and economy problems. |
| İçeriği | Methods of data collection and statistical inferences in social sciences will be taught in this course. In this context, desrciptive and inferential statistical methods, statistical tests, sampling, analysis of variance, correlation, regression, and nonparametric statistical techniques will be covered at the undergraduate level. |
Dersin Öğrenim Çıktıları
| # | Öğrenim Çıktıları |
|---|---|
| 1 | Explaning the concept of statistics and emphasizing its importance in the field of social sciences. |
| 2 | Identify the data collected from various issues, ability to summarize and explain visually. |
| 3 | Analyzing and interpreting data using data analysis techniques. y and variability to understand and explain the relationships between variables. |
| 4 | Composing the forecasting methods and interpreting the results. |
| 6 | Constructing and testing the hypotheses related to population |
| 6 | Introducing the primary statistical packages and illustrating some essential analyses. |
| 7 | Introducing and illustrating the basic statistical estimation methods. |
| 8 | Confidence interval estimation for the mean of a normal distribution when the population variance known and population variance unknown. |
Haftalık Ayrıntılı Ders İçeriği
| # | Konular | Öğretim Yöntem ve Teknikleri |
|---|---|---|
| 1 | Statistics and basic concepts | Lectures, discussion |
| 2 | Data, variable and levels of measure | Examples, exercises and solutions |
| 3 | Making table and graphic methods | Lectures, discussion |
| 4 | Arithmetic mean, harmonic mean, mode, median | Sample questions |
| 5 | Sampling methods | Examples, exercises and solutions |
| 6 | Statistical estimate and hypothesis tests | Examples, exercises and solutions |
| 7 | Confidence interval estimation of the difference between two normal population means for independent samples with known and unknown population variances. | Examples, exercises and solutions |
| 8 | Term examination | Written examination |
| 9 | Chi-square test, Z and F test | Examples, exercises and solutions |
| 10 | Hypothesis testing of the mean of a normal distribution when the population variance is unknown. | Examples, exercises and solutions |
| 11 | Point estimate | Examples, exercises and solutions |
| 12 | Estimated range | Examples, exercises and solutions |
| 13 | Regression and correlation | Sample questions |
| 14 | Time series analyses | Examples, exercises and solutions |
| 15 | Repeat | Exercises and solutions |
| 16 | Final exam | Written examination |
Resources
| # | Malzeme / Kaynak Adı | Kaynak Hakkında Bilgi | Referans / Önerilen Kaynak |
|---|---|---|---|
| 1 | Çeviri:H.Kutluk Özgün, Olasılık Schaum’s Outlines , Nabel Yayn Dağıtımı | ||
| 2 | Doç.Dr. Burhan ÇİL,İstatistik, Detay Yayıncılık | ||
| 3 | Prof.Dr.Özkan ÜNVER-Prof.Dr.Hamza Gamgam, Temel İstatistik Yöntemler, Seçkin yayınları |
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 | Explaning the concept of statistics and emphasizing its importance in the field of social sciences. | 4͵7͵8 | 1͵2 |
| 2 | Identify the data collected from various issues, ability to summarize and explain visually. | 2͵4͵7 | 1͵2 |
| 3 | Analyzing and interpreting data using data analysis techniques. y and variability to understand and explain the relationships between variables. | 2͵4͵8 | 1͵2 |
| 4 | Composing the forecasting methods and interpreting the results. | 2͵7 | 1͵2 |
| 6 | Constructing and testing the hypotheses related to population | 2͵4 | 1͵2 |
| 6 | Introducing the primary statistical packages and illustrating some essential analyses. | 4͵7 | 1͵2 |
| 7 | Introducing and illustrating the basic statistical estimation methods. | 2͵7͵8 | 1͵2 |
| 8 | Confidence interval estimation for the mean of a normal distribution when the population variance known and population variance unknown. | 2͵4͵7͵8 | 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 | 10 | 2 | 20 |
| 4 | Document/Information Listing | 0 | 0 | 0 |
| 5 | Workshop | 0 | 0 | 0 |
| 6 | Preparation for Midterm Exam | 1 | 13 | 13 |
| 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 | 1 | 1 |
| 15 | Final Exam | 1 | 1 | 1 |
| 120 | ||||