Ondokuz Mayıs Üniversitesi Bilgi Paketi - Ders Kataloğu

Description of Individual Course Units

Course Unit CodeCourse Unit TitleType of CourseYearSemesterECTS
IMÖ306 Statistics And Probability-II 927001 3 6 5
Level of Course Unit
First Cycle
Objectives of the Course
Learning Normal and Sampling Distributions
Name of Lecturer(s)
Öğr.gör. Kemal Özcan
Learning Outcomes
  1. Students can learn about the normal distribution and apply them.
  2. Students can learn about sampling distribution and apply them.
  3. Students can learn about the knowledge and confidence intervals and apply them.
Mode of Delivery
Formal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Recommended or Required Reading
Akdeniz, F. 1998; Olasılık ve İstatistik, Baki Kitapevi, Adana
Planned Learning Activities and Teaching Methods
Language of Instruction
Turkish
Work Placement(s)
None
Course Contents
Concept of normal distribution. The characteristics normal distribution. Areas under the standard normal curve. Approximantion of discrete distribution to normal. Approximation of binomial distribution to normal. Approximaton of Poisson distribution to the normal. Approxition of hypergeometric distribution to normal approach and its applications. A brief theoretical knowledge of sampling theory. The average of the sample distribution, sample distribution rates, the average difference between the sample distribution, sampling distributions of differences between proportions and applications. Brief theoretical knowledge about the theory of estimates, point estimates and confidence limits, the average for the confidence interval. Rates for the confidence intervals, standard deviations for the confidence intervals, the average difference between the confidence intervals, confidence intervals for differences between proportions and applied studies.
Weekly Detailed Course Contents
Week Theoretical Practice Laboratory
1.Concept of normal distribution.
2.The characteristics normal distribution
3.Areas under the standard normal curve
4.Approximantion of discrete distribution to normal.
5.Approximation of binomial distribution to normal.
6.Approximaton of Poisson distribution to the normal.
7.Approxition of hypergeometric distribution to normal approach and its applications.
8.Mid-term exam
9.A brief theoretical knowledge of sampling theory.
10.The average of the sample distribution, sample distribution rates, the average difference between the sample distribution, sampling distributions of differences between proportions and applications.
11.The average of the sample distribution, sample distribution rates, the average difference between the sample distribution, sampling distributions of differences between proportions and applications.
12.Brief theoretical knowledge about the theory of estimates, point estimates and confidence limits, the average for the confidence interval.
13.Brief theoretical knowledge about the theory of estimates, point estimates and confidence limits, the average for the confidence interval.
14.Rates for the confidence intervals, standard deviations for the confidence intervals, the average difference between the confidence intervals, confidence intervals for differences between proportions and applied studies.
15.Rates for the confidence intervals, standard deviations for the confidence intervals, the average difference between the confidence intervals, confidence intervals for differences between proportions and applied studies.
16.End-of-term exam
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight (%)
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight (%)
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Workload Calculation
ActivitiesQuantityTime(hours)Total Workload(hours)
Midterm Examination122
Final Examination133
Attending Lectures14570
Problem Solving10550
SUM125