Ders Bilgileri
STATISTICS II | ||||||
---|---|---|---|---|---|---|
Kodu | Dönemi | Teori | Uygulama | Ulusal Kredisi | AKTS Kredisi | |
Saat / Hafta | ||||||
ÇEK202 | Spring | 3 | 0 | 3 | 5 |
Ön Koşulu Olan Ders( ler ) | None |
Dili | en |
Türü | Required |
Seviyesi | Bachelor's |
Öğretim Elemanı( ları ) | Assist. Prof. Dr. Nurcan TEMİZ |
Öğretim Sistemi | Face to Face |
Önerilen Hususlar | None |
Staj Durumu | None |
Amacı | The aim of this course is to provide the students with an ability of calculating mean and standard deviation for discrete and continuous variables, to interpret values that obtained by descriptive statistics, to interpret population parameter by using sampling data, to assure investigating, analyzing and interpreting relationship between variables. |
İçeriği | In this course; Discrete and Continous Distributions, Sampling Distributions, Point and Interval Estimation, Hypothesis Tests, Regression Analysis, Correlation are the topics that are covered. |
Dersin Öğrenim Çıktıları
# | Öğrenim Çıktıları |
---|---|
1 | Define discrete distributions and can apply them to daily life problems |
2 | Explain continuous distributions and can apply them to daily life problems. |
3 | Use point estimation and interval estimation. |
4 | List stages of hypothesis test and do hypothesis test. Be able to explain I type and II type error. |
5 | Practice simple linear regression analysis and calculate regression coefficient. |
6 | Test significance of regression coefficient. |
7 | Calculate and interpret coefficient of determination. |
8 | Calculate and interpret correlation coefficient. |
Haftalık Ayrıntılı Ders İçeriği
# | Konular | Öğretim Yöntem ve Teknikleri |
---|---|---|
1 | Discrete Distributions: Bernoulli Distribution, Binomial Distribution, Geometric Distribution, Negative Binomial Distribution, Poisson Distribution. | Lecture, Discussion |
2 | Continuous Distributions: Exponential Distribution, Uniform Distribution | Lecture, Discussion |
3 | Continuous Distributions: Normal Distribution, Standard Normal Distribution, Emprical Rule, Chebyshev’s Theorem | Lecture, Discussion |
4 | Sampling Distributions: Central Limit Theorem | Lecture, Discussion |
5 | Sampling Distributions: t distribution, Chi-Square Distribution, F Distribution. | Lecture, Discussion |
6 | Inferential Statistics: Point Estimation, Interval Estimation | Lecture, Discussion |
7 | Interval Estimation, Confidence Interval | Lecture, Discussion |
8 | Midterm Exam | Written Exam |
9 | Hypothesis Tests, Type I and Type II Error | Lecture, Discussion |
10 | Hypothesis Tests, Type I and Type II Error | Lecture, Discussion |
11 | Regression Analysis,Calculation of Regression Coefficients | Lecture, Discussion |
12 | Testing Significance of Regression Coefficients, Calculation and Interpretation of Coefficient of Determination | Lecture, Discussion |
13 | Correlation: Calculation and Interpretation of covariance and correlation coefficient | Lecture, Discussion |
14 | Analysis of Variance | Lecture, Discussion |
15 | Multivariate Distributions: Joint Distributions, Joint Probability Function, Joint Probability Distribution Function. | Lecture, Discussion |
16 | Final Exam | Written Exam |
Resources
# | Malzeme / Kaynak Adı | Kaynak Hakkında Bilgi | Referans / Önerilen Kaynak |
---|---|---|---|
1 | İstatistiğe Giriş,Fikret İkiz, Halis Püskülcü, Şaban Eren, Fakülteler Kitabevi, 7. Baskı, İzmir 2006. | Textbook | İstatistik, Burhan Çil, Detay Yayıncılık, 6.Baskı, Ankara 2008. |
2 | Olasılık ve İstatisik, Fikri Akdeniz, Nobel Kitabevi, 15.Baskı, Adana 2010. |
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 discrete distributions and can apply them to daily life problems | 4 | 1͵2 |
2 | Explain continuous distributions and can apply them to daily life problems. | 4 | 1͵2 |
3 | Use point estimation and interval estimation. | 4 | 1͵2 |
4 | List stages of hypothesis test and do hypothesis test. Be able to explain I type and II type error. | 4 | 1͵2 |
5 | Practice simple linear regression analysis and calculate regression coefficient. | 4 | 1͵2 |
6 | Test significance of regression coefficient. | 4 | 1͵2 |
7 | Calculate and interpret coefficient of determination. | 4 | 1͵2 |
8 | Calculate and interpret correlation coefficient. | 4 | 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 | 1 | 10 |
4 | Document/Information Listing | 0 | 0 | 0 |
5 | Workshop | 0 | 0 | 0 |
6 | Preparation for Midterm Exam | 1 | 10 | 10 |
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 | 0 | 0 | 0 |
13 | Final Exercise | 0 | 0 | 0 |
14 | Preparation for Final Exam | 1 | 15 | 15 |
15 | Final Exam | 1 | 1 | 1 |
121 |