Information Package / Course Catalogue
Basic Statistics
Course Code: EK172
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

The main objective of the course is to give the student an elementary introduction to the practice of statistics. This course will give insight into how an analyst gathers, summarizes, and draws conclusions from economical or business data. At the end of the course, the student should be a critical consumer of this information.

Course Content

Basic definitions and consepts of statistics, variable definitions, frequency distributions for quantitavive variables, frequency distributions of qualitative variables, graphics, measures of central tendency and measures of dispersion, application of methods using statistical software

Name of Lecturer(s)
Lec. Mesut ÇAKIR
Learning Outcomes
1.To be able to understand the relation of science and statistics
3.To be able to use measures of central tendency and variation
4.To be able to present frequencies with graphs
5. To be able to classify variables with regard to their features
6. To be able to identify the shape of the distribution by using the measures of central tendency
Recommended or Required Reading
1.J.E. Freund, Modern Elementary Statistics, 2004.
2.İşletme ve İktisat İçin İstatistik, 2009, Literatür Yayın evi, Paul Newbold (çeviren Ümit Şenesen)
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to statistics, basic concepts, statistic, population, parameter, variable, data
Week 2 - Theoretical
Gathering data, classifying, graphical representations, frequency distributions, pie nd bar charts, time series charts, scatter diagrams, histograms, frequency poligons.
Week 3 - Theoretical
Measures of central tendency: mean, mode, median, geometric mean, harmonic mean, quartiles.
Week 4 - Theoretical
Measures of variation and asymmetry: range, Standard deviation, variance, absolute deviation, men absolute deviation.
Week 5 - Theoretical
Measures of Dispersion: standard deviation, variance, interquartile range, standard error, skewness, kurthosis
Week 6 - Practice
Excel Applications
Week 7 - Practice
Excel Applications
Week 8 - Theoretical
Discrete and Continuous Probability Distributions. -Binomial Distribution -Poisson Distribution -Normal Distribution
Week 9 - Theoretical
Discrete and Continuous Probability Distributions. -Binomial Distribution -Poisson Distribution -Normal Distribution
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
Estimation of Parameters, Point Estimates and Interval Estimates; Interval Estimates of Population
Week 13 - Theoretical
Confidence Intervals -Confidence intervals for the mean -Confidence intervals for differences and sums
Week 14 - Theoretical
Estimation of Parameters Point Estimates and Interval Estimates; Their Reliability Confidence-Interval Estimates of Population
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
5
3
3
5
3
3
3
3
4
OÇ-3
3
3
4
4
3
3
4
4
3
OÇ-4
3
3
4
4
4
4
4
3
4
OÇ-5
5
3
3
3
3
5
3
3
3
OÇ-6
3
3
5
3
3
5
3
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026