At the end of this course, the students; 1) Know sampling methods. 2) Can calculate descriptive statistics. 3) Can organize and analyze the data related to his/her fields. 4) Can define the statistical problems and offer solutions based on evidence and research.
MODE OF DELIVERY
E-Learning
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION
This course includes different research and measurement methods, research ethics, sampling methods and to write a research report.
COURSE CONTENTS
WEEK
TOPICS
1st Week
1st Week Introduction to Statistics
2nd Week
2nd Week Data collection and classification of data
3rd Week
3rd Week Descriptive Statistics I
4th Week
4th Week Possibility
5th Week
5th Week Normal distribution
6th Week
6th Week Sampling distribution
7th Week
7th Week Confidence intervals
8th Week
8th Week Midterm
9th Week
9th Week Creating and editing data set - SPSS LAb
10th Week
10th Week Frequency distribution, graphs, descriptive statistics-SPSS Lab