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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 202STATISTICS - II3 + 04th Semester3

COURSE DESCRIPTION
Course Level Associate's Degree
Course Type Elective
Course Objective To teach basic statistics and probabiliy
Course Content Sampling and Sampling Disrubitions, Point Estimation, Confidence Intervals, Hypothesis Tests, Goodness of Fit, Corelation Analysis, Basic Regression Analysis, One Way Analysis of Variance
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Information of basic probability and statistics
2Able to think analitically
3Able to interprete and make decision from numbers/statistics

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13
LO 001 5   3 5     
LO 002 5   3 5     
LO 003 5   3 5     
Sub Total 15   9 15     
Contribution0500030500000

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)14114
Mid-terms11111
Final examination11111
Total Work Load

ECTS Credit of the Course






78

3
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2016-2017 Spring24SİMGE ŞİMŞEK


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKNM 202 STATISTICS - II 3 + 0 24 Turkish 2016-2017 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer SİMGE ŞİMŞEK simged@pau.edu.tr ACMYO A0205 %70
Goals To teach basic statistics and probabiliy
Content Sampling and Sampling Disrubitions, Point Estimation, Confidence Intervals, Hypothesis Tests, Goodness of Fit, Corelation Analysis, Basic Regression Analysis, One Way Analysis of Variance
Topics
WeeksTopics
1 Factorial, the basic principle of counting, permutation
2 combination
3 possibility
4 Conditional probability
5 Probability distributions and distribution types
6 question solution
7 midterm
8 Sampling theory
9 Sampling distributions
10 Statistical estimation theory
11 question solution
12 Point estimates and interval estimates
13 Statistical decision theory
14 question solution
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes