Lesson plan / STATISTICS-I

Lesson Information

Course Credit 3.0
Course ECTS Credit 5.0
Teaching Language of Instruction Türkçe
Level of Course Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course Compulsory
Mode of Delivery Distance Learning
Does the course require compulsory or optional work experience? Z
Course Coordinator Assist. Prof. Dr. ÇİĞDEM ÖZARI
Instructor (s) Assist. Prof. Dr. UĞUR ŞENER|Prof. Dr. ERGİNBAY UĞURLU
Course Assistant

Purpose and Content

The aim of the course Economic Issues of statistical information required to be able to teach research
Course Content A simple regression model, the multiple regression model, general linear model, estimators and estimated özllikleri. Statistical tests. The analysis of variance. Using indicator variables. General linear model with the help of prediction. Önseçimli prediction. Forecasting the range and effectiveness of prediction. Reduced regression tests of balance

Weekly Course Subjects

1Introduction to statistics and basic concepts of Statistics? Why we need Statistics? How Long Has Statistics Been A Part Of Our Lives? Where Can We Access Statistical Data? How Can We manage data?
2Measures of central tendency: Concepts and properties such as arithmetic mean, weighted moving average, geometric mean, mode, median
3able to calculate of Central tendency in grade Data such as arithmetic mean, weighted moving average, geometric mean, mode, median and their properties
4Measures of central variability: Deviation, Mean deviation, Absolute Deviation and Standard deviation, Variance
5Measures of Central Variability in grade Data: Deviation, Mean Deviation, Absolute Deviation and Standard Deviation, Variance, Covariance
6Correlation Analysis 1: Spearman, Pearson, Kendall....
7Correlation Analysis 2: Spearman, Pearson, Kendall....
8Asymmetry measures: Skewness and Kurtosis The Bowley skewness, Pearson's Skewness Coefficients,
9Moment Generating Function and its properties: Calculation of kurtosis and skew coefficients by using moments.
10Introduction to Probability:Introduction to Probability Theory and Basic Rules of Probability
11Probability problems
12Conditional probabilities, Bayes' theorem
13Random variables, Expected value, Probability distributions
14Continuous Random Variable and Sample Applications

Resources

1-Lecture Notes