STATISTICS IN HEALTH SCIENCES II

HCM258

Course Code: HCM258
Semester: Fourth Term (Spring)
Theory+Practice: 4 + 0
ECTS: 5

Course Type

Compulsory Course

Course Level

Bachelor's Degree

Year of Study

Semester

Fourth Term (Spring)

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Learn the introduction to sampling theory and basic sampling methods
Learn the statistical inference, estimation
Learn the hypothesis testing, regression and correlation analysis are given

Mode of Delivery

Face to face

Prerequisites

Yes(HCM257)

Recommended Optional Programme Components

There is no recommended optional programme component for this course.

Course Description

In this course, which aims to complete the Statictics in Health Science I course, introduction to sampling theory and basic sampling methods, statistical interpretation, estimation methods, hypothesis testing, regression and correlation analysis are examined. This course is conducted using the SPSS package program.

Course Contents

WEEK	TOPICS
1^st Week	Introduction to probability
2^nd Week	Continous probability distributions
3^rd Week	Normal distribution
4^th Week	Discrete probability distributions
5^th Week	Sampling distributions
6^th Week	Midterm exam I
7^th Week	Sampling and sampling methods
8^th Week	Parameter estimation, point estimation, confidence intervals
9^th Week	Hypothesis testing
10^th Week	Midterm exam II
11^th Week	Variance analysis
12^th Week	Simple linear regression
13^th Week	Simple linear regression
14^th Week	Correlation and correlation analysis
15^th Week	Corelation and correlation analysis

Recommended or Required Reading

Newbold P. (1995) Statistics for Business and Administration, Prentice Hall.

Planned Learning Activities and Teaching Methods

Lecture
Practice
Problem Solving

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	2	40
Quiz	1	20
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	2	2	4
Preparation for Quiz	1	5	5
Individual or group work	14	4	56
Preparation for Final exam	1	15	15
Course hours	14	3	42
Preparation for Midterm exam	1	12	12
Laboratory (including preparation)	0	0	0
Final exam	1	3	3
Homework	0	0	0
Quiz	1	2	2
Total Work Load			139
Total Work Load / 30 (h)			4.63
ECTS Credit of the Course			5

Language of Instruction

English

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3
K1	X	X	X
K2	X	X	X
K3	X	X	X
K4
K5
K6	X	X	X
K7	X	X	X
K8
K9
K10