At the end of this course, the students; 1) Have the ability of statistical data classifying, processing, summarizing and interpreting. 2) Have the ability of information generation, estimation and report. 3) Have the ability of using and interpreting sampling distributions in confidence intervals and hypothesis tests. 4) Have the ability to determine the correlations between variables in the research studies.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
Yes(END210)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Sampling distributions, statistical estimation (point estimation and confidence intervals), hypothesis testing, regression analysis and ANOVA approach, introduction to multiple regression.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Random Sampling, Some Important Statistics
2nd Week
Concept of Sampling distribution, Sampling Distributions of Means and S2
3rd Week
t-Distribution, F-Distribution
4th Week
One- and Two-Sample Estimation Problems (for a Mean and Mean Differences)
5th Week
One- and Two-Sample Estimation Problems (for a Proportion and Ratio of Proportions)
6th Week
One- and Two- Sample Hypothesis Testing (for a Variance and the Ratio of Variances), Maximum Likelihood Estimation
7th Week
Hypothesis Testing, Type I and II Errors. Usage of P-Value,
8th Week
Midterm
9th Week
One- and Two- Sample Hypothesis Testing (for a Mean and Mean Differences)
10th Week
One- and Two-Sample Hypothesis Testing (for a Variance and the Ratio of Variances)
11th Week
Goodness of fit, Independence and Homogeneity Tests
12th Week
Simple Linear Regression and Correlation
13th Week
Analysis of Variance Application Lack-of-fit Test
14th Week
Introduction to Multivariate Regression Analysis
RECOMENDED OR REQUIRED READING
(1) Walpole R.E., Myers R.H. Myers Sh. L. Ye K. Probability and Statistics or Engineers and Scientists Prentice Hall. 7th edition; (2) Akdeniz F. "Olasılık ve İstatistik", Nobel Kitabevi, 13. Baskı, 2007. (3) Erbaş S. O. "Olasılık ve İstatistik", Gazi Kitabevi.
