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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
PROBABILITY AND STATISTICS ISG 508 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Yüksek Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Prof.Dr. YILMAZ ÖZKAN
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
Students, research topic related information properly to obtain statistical methodology following the obtained data ready for analysis, making statistical methods to use, the correct method to select and results correctly interpret complex data from piles meaningful conclusions to obtain ability, decision making, estimation techniques and interpret the results correctly is to win.
Dersin İçeriği
In this lesson about statistics concepts, data identifier for the dimensions of the data with tables and graphs to summarize, averages, variability measures, asymmetry and kurtosis, probability and probability distributions, sampling and sampling distributions, statistical estimation, small sample theory, hypothesis testing, chi-square tests, nonparametric tests, regression and correlation, time series analysis, index topics
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Statistical methodology explains how to use the definitions 1 - 2 - 4 - 5 - 15 - A - C -
2 - Data feature knows, collect data, ready for analysis makes 1 - 2 - 4 - 5 - 15 - A - C -
3 - Measures of central tendency, measures of variability, asymmetry and kurtosis calculates and uses 1 - 2 - 4 - 5 - 15 - A - C -
4 - Stochastic event recognizes, the probability solves problems 1 - 2 - 4 - 5 - 15 - A - C -
5 - measures, for example, the parameter estimates with the help of statistics, calculates the optimal sample size. 1 - 2 - 4 - 5 - 12 - 15 - A - C -
6 - Research topics related to the research hypothesis establishes the test methods and determine the direction of the hypothesis for the acceptance and rejection region shows the sample test statistics accounts, Ho hypothesis for the acceptance / rejection d 1 - 2 - 4 - 5 - 12 - 15 - A - C -
7 - Independence test for categorical data between variables, which makes it interprets the results and decide. 1 - 2 - 4 - 5 - 12 - 15 - A - C -
8 - Between the two variables relationship investigate whether the relationship is meaningful and determines whether a meaningful relationship if any relationship model formulates one of the variables with the other estimates, forecast a certain probability l 1 - 2 - 4 - 5 - 12 - 15 - A - C -
9 - For time series prediction equation determines, makes projections, estimates the error measure for a given probability level determines the range of the estimates, the results achieved comments 1 - 2 - 4 - 5 - 12 - 15 - A - C -
10 - Measures the relative change in prices and quantities, interpret measurement results, examines economic indicators, real wages are calculated, the index is used as deflator. 1 - 2 - 4 - 5 - 12 - 15 - A - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice 5:Demonstration 15:Problem Solving 12:Case Study
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Course Description, Statistical Methodology, Data Collection and Identification
2 Statistical Tables and Graphic Data Representation
3 Averages
4 Variability
5 Asymmetry and Kurtosis
6 Probability
7 Probability Distributions
8 Normal Probability Distribution
9 Midterm exam
10 Sampling and Hypothesis Testing
11 Chi-Square Test
12 Regression and Correlation
13 Time Series Analysis
14 Indexes

Kaynaklar

Ders Notu Özkan, Yılmaz, (2005), Uygulamalı İstatistik 1, Sakarya Kitabevi, Adapazarı
Özkan, Yılmaz, (2007), Uygulamalı İstatistik 2, Sakarya Kitabevi, Adapazarı
Ders Kaynakları Newbold, Paul (4. Basımdan çeviren Ü. Şenesen) (2000), İşletme ve İktisat için İstatistik, Literatür Yayıncılık, İstanbul

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 60
Odev 1 20
KisaSinav 1 20
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 12 12
Assignment 1 12 12
Final examination 1 15 15
Toplam İş Yükü 151
Toplam İş Yükü /25(s) 6.04
Dersin AKTS Kredisi 6.04
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