Information Package

Master's of Insurance and Risk Management without Thesis

SRY516

ADVANCE STATISTICS

Course Code
SRY516
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. What are learnt are exercises in thesis study
  2. Reviews and comments can be made
  3. Hypothesis testing is learned and they are analyzed with scientific methods
  4. Analysis of the results of applications are done
  5. The necessary basic information that in made quantitative studies are learnt
  6. The raw data that will be obtained are applied to descriptive statistical methods
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThe aims of this course are to learn basic knowledge of statistics, quantitative research, hypothesis tests and to evaluate, analyse, comment, discuss of result of the research.
Course Contents
WEEK TOPICS
1st Week Basic statistics, the normal distribution
2nd Week Sampling distribution
3rd Week Estimation of a proportion
4th Week Estimation of a single mean
5th Week Estimation of variances
6th Week Estimation of differences of means
7th Week Tests of statistival hypotheses
8th Week Midterm
9th Week Test about proportions
10th Week Test about variances and standart deviations
11th Week Test about means
12th Week Chi-square test
13th Week Non parametric tests (Mann-Whitney U , Wilcoxon , Kolmogorov- Simirnov)
14th Week Non parametric tests (Cohran , Kruskal-Wallis )
Recommended or Required ReadingHipotez Testleri Prof.Dr. Mahmut Kartal Lectures of Educational Statistics , Assistant .Prof.Dr.Ahmet Ş.ÖZDEMİR Statistics - Marıo F. Trıola Statistics II : Estimation and test of Hypotheses,Shamme Series Uygulamalı İstatistik -Prof.Dr.Aladdin Başar- Assistant .Prof.Dr. Erkan Oktay
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 1 10
Quiz 1 10
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 3 3
Preparation for Quiz 1 3 3
Individual or group work 14 10 140
Preparation for Final exam 1 45 45
Course hours 14 3 42
Preparation for Midterm exam 1 30 30
Laboratory (including preparation)
Final exam 1 3 3
Homework 1 40 40
Total Work Load306
Total Work Load / 30 (h)10.2
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5 LO6
K1 X X X X X X
K2
K3
K4 X X X X X X
K5
K6
K7 X X X X X X
K8 X X X X X X
K9
K10 X X X X X