At the end of this course, the students; 1) Can describe and test the statistical hypothesis 2) Know the phases of hypothesis testing 3) Can define the statistical problems and offer solutions based on evidence and research. 4) Can solve the current problems by making use of statistical methods.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
Yes(TKM209)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
This course is a continuation of İŞLE 243. Sampling Distributions. Techniques for Drawing Samples. Point and Interval Estimation. Estimation of Means, Variances, Difference, Proportions. Inference based on Single and two Samples; Estimation and Tests. Comparison of Independent and Paired Samples. Analysis of Variance; Regression Analysis, Least Square Method, Model Selection.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction to hypothesis testing
2nd Week
One-sample tests: Hypothesis tests for means
3rd Week
One-sample tests: Hypothesis tests for proportions
4th Week
Two-sample tests: Hypothesis tests for two population means
5th Week
Two-sample tests: Hypothesis tests for two population proportions
6th Week
One-way analysis of variance
7th Week
Two-way analysis of variance
8th Week
Mid-term examination
9th Week
Chi-square tests
10th Week
Non-Parametric statistics I
11th Week
Non-Parametric statistics II
12th Week
Problem Solving
13th Week
Regression analysis
14th Week
Correlation analysis
RECOMENDED OR REQUIRED READING
Berenson, M., Levine, D., Kerehbiel, T., Stephan, D. (2011). Basic Business Statistics with MyMathLab Global, Global Edition, 12/E Prentice Hall.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Problem Solving
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
40
Total(%)
40
Contribution of In-term Studies to Overall Grade(%)
40
Contribution of Final Examination to Overall Grade(%)
60
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
1,5
1,5
Preparation for Quiz
Individual or group work
14
2
28
Preparation for Final exam
1
65
65
Course hours
14
3
42
Preparation for Midterm exam
1
45
45
Laboratory (including preparation)
Final exam
1
1,5
1,5
Homework
Total Workload
183
Total Workload / 30
6,1
ECTS Credits of the Course
6
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)