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Mersin Üniversitesi

Ders Bilgileri

STATISTICS I
Kodu Dönemi Teori Uygulama Ulusal Kredisi AKTS Kredisi
Saat / Hafta
ÇEK201 Fall 3 0 3 5
Ön Koşulu Olan Ders( ler ) None
Dili en
Türü Required
Seviyesi Bachelor's
Öğretim Elemanı( ları ) Asst. Prof. Dr. Nurcan TEMİZ
Öğretim Sistemi Face to Face
Önerilen Hususlar None
Staj Durumu None
Amacı The aim of the course is to assure organization and management of data according to data type, calculation and interpretation of measures that summarize data by students and also assure calculation of mean and variance according to random variable types.
İçeriği Data concept, data type, scales, numerical measures of central tendency, numerical measures of dispersion, probability, random variable concept, calculation of mean and variance for discrete and continuous random variables.

Dersin Öğrenim Çıktıları

# Öğrenim Çıktıları
1 Identify statistics and its application to daily life problems.
2 Organize quantitative and qualitative data, and recognize graphics type according to data type.
3 Calculate and interpret measures of central tendency.
4 Calculate and interpret measures of dispersion.
5 Define basic concepts of probability and calculate simple probability.
6 Calculate conditional probability and use Bayes’s Theorem.
7 Calculate mean and variance for discrete variables.
8 Calculate mean and variance for continuous variables.

Haftalık Ayrıntılı Ders İçeriği

# Konular Öğretim Yöntem ve Teknikleri
1 Basic concepts of statistics, descriptive and inferential statistics, concepts of population, sampling, parameter, and statistics, data concept and data type, scales types Lecture, discussion
2 Frequency distribution, to set frequency table Lecture, discussion
3 Graphic presentation of data. Graphics for qualitative data: Pie chart, bar graph, pareto diagram Lecture, discussion
4 Graphics for quantitative data: Histograms Lecture, discussion
5 Graphics for quantitative data: Stem and leaf, ogive, dot plot Lecture, discussion
6 Measure of central tendency: arithmetic mean, geometric mean, harmonic mean, median, mode. Lecture, discussion
7 Measure of dispersion: Range, variance, standard deviation, Lecture, discussion
8 Mid-term Exam Writting Exam
9 Set theory, set concept, applications on set, DeMorgan rule Lecture, discussion
10 Introduction to probability, fundamentals of probability, sample space Lecture, discussion
11 Basic concepts of probability, concepts of experiment and event, mutually exclusive events, independent events Lecture, discussion
12 Conditional probability Lecture, discussion
13 Bayes’s theorem Lecture, discussion
14 Random variable concept, discrete variables, continuous variables, probability function, probability distribution of discrete variables, probability distributions of continuous variables Lecture, discussion
15 Calculating mean and variance of discrete and continuous probability distributions Lecture, discussion
16 Final 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 Olasılık ve İstatisik, Fikri Akdeniz, Nobel Kitabevi, 15.Baskı, Adana 2010.
2 İstatistik, Burhan Çil, Detay Yayıncılık, 6.Baskı, Ankara 2008.

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 Identify statistics and its application to daily life problems. 12͵14 1͵2
2 Organize quantitative and qualitative data, and recognize graphics type according to data type. 12͵14 1͵2
3 Calculate and interpret measures of central tendency. 12͵14 1͵2
4 Calculate and interpret measures of dispersion. 12͵14 1͵2
5 Define basic concepts of probability and calculate simple probability. 12͵14 1͵2
6 Calculate conditional probability and use Bayes’s Theorem. 12͵14 1͵2
7 Calculate mean and variance for discrete variables. 12͵14 1͵2
8 Calculate mean and variance for continuous variables. 12͵14 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 2 28
2 Presentation and Seminar Preparation 0 0 0
3 Web Research, Library and Archival Work 14 1 14
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 0 0 0
13 Final Exercise 0 0 0
14 Preparation for Final Exam 1 20 20
15 Final Exam 1 1 1
120