Course Unit Code | Course Unit Title | Type of Course | Year | Semester | ECTS |

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

- Students can learn about the normal distribution and apply them.
- Students can learn about sampling distribution and apply them.
- 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 Activities | Quantity | Weight (%) |

Midterm Examination | 1 | 100 |

SUM | 100 | |

End Of Term (or Year) Learning Activities | Quantity | Weight (%) |

Final Examination | 1 | 100 |

SUM | 100 | |

Term (or Year) Learning Activities | 40 | |

End Of Term (or Year) Learning Activities | 60 | |

SUM | 100 |

Workload Calculation

Activities | Quantity | Time(hours) | Total Workload(hours) |

Midterm Examination | 1 | 2 | 2 |

Final Examination | 1 | 3 | 3 |

Attending Lectures | 14 | 5 | 70 |

Problem Solving | 10 | 5 | 50 |

SUM | 125 |