COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Introduction to Statistics * ISB   104 2 4 4 6

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Prof. Dr. Selahattin KAÇIRANLAR
Instructors
Prof. Dr.SELAHATTİN KAÇIRANLAR1. Öğretim Grup:A
Prof. Dr.SELAHATTİN KAÇIRANLAR2. Öğretim Grup:A
 
Assistants
Goals
Learn the basic concepts of statistics, analysis and reviews statistical problems encountered
Content
Students will comprehend gauss distribution, sampling distributions, estimation, confidence intervals, hypothesis testing, power of test, chi-square test

Learning Outcomes
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics
X
2
Emphasize the importance of Statistics in life
X
3
Define basic principles and concepts in the field of Law and Economics
4
Produce numeric and statistical solutions in order to overcome the problems
X
5
Use proper methods and techniques to gather and/or to arrange the data
X
6
Utilize computer systems and softwares
X
7
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
X
8
Apply the statistical analyze methods
X
9
Make statistical inference(estimation, hypothesis tests etc.)
X
10
Generate solutions for the problems in other disciplines by using statistical techniques
X
11
Discover the visual, database and web programming techniques and posses the ability of writing programme
12
Construct a model and analyze it by using statistical packages
13
Distinguish the difference between the statistical methods
X
14
Be aware of the interaction between the disciplines related to statistics
X
15
Make oral and visual presentation for the results of statistical methods
X
16
Have capability on effective and productive work in a group and individually
X
17
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
X
18
Develop scientific and ethical values in the fields of statistics-and scientific data collection
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 use pdf and properties of the normal distribution, calculate the mean and standard deviation , using the standard normal distribution table Source reading
2 Normal approximation to the binomial distribution, continuity correction and calculation of probability, the use of the table for given probability Source reading
3 Some continuous distributions and their characteristics, sampling and sample selection methods, Introduction to Data Analysis, Frequency Chart, Histogram, frequency polygon drawing Source reading
4 Measures of central tendency (mean, median, mode, geometric mean, harmonic mean) Source reading
5 Measures of Dispersion, Dal leaf display, Box drawing, Coefficient of Variation Source reading
6 Sampling Distributions and estimation, point estimation, estimators, mean and variance of the sample properties Source reading
7 Interval estimation for the population mean, t-distribution, (known and unknown, while sigma), chi-square, F distribution, sample size calculation Source reading
8 Midterm exam Review the topics discussed in the lecture notes and sources
9 The range for the population variance estimation, interval estimation for the difference between two population means (mass variances are known, unknown) Source reading
10 estimation for the proportion of variance , interval estimation for the binomial parameter p, the interval for the difference of two binomial parameter estimation Source reading
11 Hypothesis tests, simple hypothesis testing, hypothesis testing for the population mean (variance of the population is known, unknown) Source reading
12 hypothesis testing for population the variance , hypothesis testing for the difference in the two group averages Source reading
13 Hypothesis test for the equality of population averages Source reading
14 Chi-square tests Source reading
15 Classification tables and problem-solving Source reading
16-17 Final exam Source reading

Recommended or Required Reading
Textbook
Additional Resources