The aim of this course is to introduce students to the science of statistics and to introduce them to the general concepts of data science such as data collection, data visualization, analysis of statistical series, regression analysis, correlation, hypothesis testing.

Learning Outcomes

CTPO

TOA

Upon successful completion of the course, the students will be able to :

LO - 1 :

form the frequency table of data set.

1,2,3,4

1,

LO - 2 :

determine the mean, mode, median, variance and standard deviation for the data set using the frequency table.

1,2,3,4

1,

LO - 3 :

draw the histogram and the other graphs for the data set.

1,2,3,4

1,

LO - 4 :

determine the simple linear regression model for the data set.

1,2,3,4

1,

LO - 5 :

test hypothesis for the mean.

1,2,3,4

1,

CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

Contents of the Course

Basic Concepts in Statistics, Statistical Series, Graphical Analysis of Statistical Series, Measures of Central Tendency and Variability, Bivariate Data, Simple Linear Regression Analysis, Correlation, Hypothesis Testing (Significance Check), The Chi-Square Test for Homogeneity and Independence, Hypothesis Testing for the Mean.

Course Syllabus

Week

Subject

Related Notes / Files

Week 1

Brief history of statistics, basic concepts

Week 2

Preparation of the data

Week 3

Frequency tables, cumulative frequency tables

Week 4

Graph types used in statistics

Week 5

Measures of central tendency

Week 6

Measures of variability

Week 7

Skewness, kurtosis and deviating value

Week 8

Measures of location and dispersion for qualitative data

Week 9

Midterm exam

Week 10

Frequency charts of bivariate qualitative and quantitative data

Week 11

Simple linear regression analysis

Week 12

Explained and unexplained variation, calculation of correlation coefficient

Week 13

Introduction to hypothesis testing, first and second type of errors

Week 14

Chi-square tests for homogeneity and Iindependence

Week 15

One sample and two sample hypothesis tests for the mean

Week 16

End-of-term exam

Textbook / Material

1

Akdeniz, A., 1984; Olasılık ve İstatistik, Ankara Üniversitesi Basımevi, Ankara.

Recommended Reading

1

Ersoy, N., Erbaş, S.O. 1996; Olasılık ve İstatistiğe Giriş, Gazi Kitabevi, Ankara.

2

N. Çömlekci, 1985; İstatistiğin tarihcesi, Anadolu Ü., Eskişehir.

3

Apaydın, A., Kutsal, A., Atakan, C., 1994; Uygulamalı İstatistik, Baran Ofset, Ankara.

4

Spiegel, M. R. ve Stephens, L. J., 1988; İstatistik. Çev. Erdal Öney ve Nahit Töre. AÜ Basımevi, Ankara.