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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MUHY 580BASIC STATISTICAL METHODS IN MANAGEMENT3 + 02nd Semester6

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective This course will introduce students to different types of statistical methods. Students will then be able to determine which method is appropriate for a given situation
Course Content Basic concepts/ Frequency Tables and Graphs/ Measures of Central Tendency and Dispersions: Mean, Median, Mode and Variance/ Sampling and Sampling Distributions/ Confidence Intervals for Mean/ Confidence Intervals for Variance/ Tests of Hypotheses for Mean/ Tests of Hypotheses for Variance/ Goodness of Fit Test, Test for Independence, Test for Homogeneity/ Regression Analysis
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Able to make informed decisions based on data
2Able to correctly apply a variety of statistical procedures and tests
3Develop skills in Excel and SPSS
4Able to interpret the results of hypothesis tests

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10
LO 001          
LO 002          
LO 003          
LO 004          
Sub Total          
Contribution0000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Mid-terms12020
Final examination12424
Total Work Load

ECTS Credit of the Course






156

6
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes