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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
STATISTICS MUP 112 2 2 + 0 2 2
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Önlisans
Dersin Türü SECMELI
Dersin Koordinatörü Öğr.Gör. RECEP ŞEN
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
Teaching skills for collecting, storing and processing of data necessary for adopting the best decisions both in corporations and various organizations.
Dersin İçeriği
It is aimed that definition of Statistics, basic concepts used, data types, and gathering methods, organizing data, central trend measures, distribution measures, estimation theory, correlation analysis, regression analysis and indexes will be taught.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Gathering data to be used in decision making process 2 - A - C -
2 - Organizing such data gathered in organization in order to present to related persons and showing such data in various graphic media 1 - 2 - 4 - A - C -
3 - By using central trends and distribution measurements, determining value in which data group are focused and what kind of distribution characteristics are presented 1 - 2 - 4 - A - C -
4 - Determining functions to be used in research belonging to the sample selected among the group research will be conducted 1 - 4 - 6 - A - C -
5 - Determining which functions selected concerning the research will be used in which situations and determining superiority to each other 1 - 4 - 6 - A - C -
6 - Determining relations between variants used in decision making process 1 - 4 - 6 - A - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice 6:Motivations to Show
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Definition of Statistics, variant, main mass, unit election, and data derivation types
2 In statistics, series, time, place and distribution series, accumulated series, compound series and showing these series in graphics medium
3 Sensitive averages, arithmetic average, arithmetic average with weight, geometric average and square average
4 Non-sensitive average; mode and median
5 Variation interval, standard deviation, variation index, variance
6 Estimation theory
7 Determining hypothesis tests relevance levels
8 Sample practice applications
9 Midterm Exam
10 Chi-square test
11 Correlation analysis
12 Regression analysis
13 Indexes
14 Sample practice works

Kaynaklar

Ders Notu
Ders Kaynakları

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
KisaSinav 1 15
KisaSinav 2 15
Odev 1 10
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 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 1 16
Mid-terms 1 4 4
Quiz 2 4 8
Assignment 1 3 3
Performance Task (Laboratory) 1 3 3
Final examination 1 6 6
Toplam İş Yükü 72
Toplam İş Yükü /25(s) 2.88
Dersin AKTS Kredisi 2.88
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