Information Package / Course Catalogue
Statistics I
Course Code: EK105
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

To introduce statistical methods for the analysis of fundamental relation of economics.

Course Content

Data and Statistics: Review of Basic Concepts on Mathematics.

Name of Lecturer(s)
Lec. Mesut ÇAKIR
Learning Outcomes
1.To be able to learn and interpret descriptive statistics
2.To be able to learn probability distributions
3.To be able to conduct point and interval estimations
4.To be able to conduct the distribution analysis with excel
5.Calculating the measures which are used for describing data
Recommended or Required Reading
1.Newbold,P. , Paul William Carlson and B. Thorne(2010) Statistics for Business and Economics, 7th Edition
2.Michael Barrow, (2006) Statistics for Economics, Accounting and Business Studies, Pearson Education, UK
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction of the course -Review of Basic Concepts on Mathematics -Population and Sample; Inductive and Descriptive Statistics
Week 2 - Theoretical
Frequency Distributions -Class Intervals and Class Limits -Class Boundaries -General Rules for Forming Frequency Distributions -Histograms and Frequency Polygons
Week 3 - Theoretical
Relative-Frequency Distributions Cumulative-Frequency Distributions Frequency Curves
Week 4 - Theoretical
Descriptive Statistics: Numerical Measures. The Arithmetic Mean The Weighted Arithmetic Mean The Median The Mode The Geometric Mean The Harmonic Mean
Week 5 - Theoretical
Measures of Dispersion - The Variance and Standard Deviation - The Mean Deviation - Properties of the Standard Deviation - Absolute and Relative Dispersion, Coefficient of Variation, Variable Standardization
Week 6 - Theoretical
Measures of Dispersion - The Variance and Standard Deviation - The Mean Deviation - Properties of the Standard Deviation - Absolute and Relative Dispersion, Coefficient of Variation, Variable Standardization
Week 7 - Practice
Excel Applications
Week 8 - Practice
Excel Applications
Week 9 - Practice
Excel Applications
Week 10 - Theoretical
Discrete and Continuous Probability Distributions. -Binomial Distribution -Poisson Distribution -Normal Distribution
Week 11 - Theoretical
Sampling and Sampling Distributions. -Sampling Distributions -Sampling Distribution of Means -Sampling Distribution of Proportions -Sampling Distributions of Differences and Sums
Week 12 - Theoretical
Confidence Intervals -Confidence intervals for the mean -Confidence intervals for differences and sums
Week 13 - Theoretical
Statistical Inference Estimation. -Estimation Using the Normal Distribution - Estimation Using the t Distribution
Week 14 - Theoretical
Estimation of Parameters Unbiased Estimates Efficient Estimates
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Individual Work73235
Midterm Examination1819
Final Examination1819
TOTAL WORKLOAD (hours)123
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
3
2
3
3
2
3
3
4
3
OÇ-2
3
2
4
4
5
3
2
3
3
OÇ-3
3
2
4
3
3
4
3
2
3
OÇ-4
3
4
3
2
3
5
4
3
2
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026