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Information
| Code | ISB104 |
| Name | Introduction to Statistics |
| Term | 2023-2024 Academic Year |
| Semester | 2. Semester |
| Duration (T+A) | 4-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 4 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SELAHATTİN KAÇIRANLAR |
| Course Instructor |
Prof. Dr. SELAHATTİN KAÇIRANLAR
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Learn the basic concepts of statistics, analysis and reviews statistical problems encountered
Course Content
Students will comprehend gauss distribution, sampling distributions, estimation, confidence intervals, hypothesis testing, power of test, chi-square test
Course Precondition
no
Resources
Fikri Akdeniz (2013), Olasılık ve İstatistik, Nobel Kitabevi, Adana
Notes
DeGroot,MH and Schervish, MJ (2002), Probability and Statistics, Third edition, Addison Wesley
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learn some continuous distributions |
| LO02 | Learn the methods of sampling and sample selection |
| LO03 | Edit the data and analyzes Understand measures of central tendency and dispersion measures |
| LO04 | understand sampling distributions and the properties |
| LO05 | Learn and use methods of estimation |
| LO06 | Apply hypothesis testing |
| LO07 | make tests of the alignment and independence based on based on Chi-square |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | 4 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer systems and softwares | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 3 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Make statistical inference(estimation, hypothesis tests etc.) | 4 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques | 3 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programme | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Construct a model and analyze it by using statistical packages | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | 4 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Be aware of the interaction between the disciplines related to statistics | 3 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 4 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | |
| PLO17 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs | |
| PLO18 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | use pdf and properties of the normal distribution, calculate the mean and standard deviation , using the standard normal distribution table | Source reading | |
| 2 | Normal approximation to the binomial distribution, continuity correction and calculation of probability, the use of the table for given probability | Source reading | |
| 3 | Some continuous distributions and their characteristics, sampling and sample selection methods, Introduction to Data Analysis, Frequency Chart, Histogram, frequency polygon drawing | Source reading | |
| 4 | Measures of central tendency (mean, median, mode, geometric mean, harmonic mean) | Source reading | |
| 5 | Measures of Dispersion, Dal leaf display, Box drawing, Coefficient of Variation | Source reading | |
| 6 | Sampling Distributions and estimation, point estimation, estimators, mean and variance of the sample properties | Source reading | |
| 7 | Interval estimation for the population mean, t-distribution, (known and unknown, while sigma), chi-square, F distribution, sample size calculation | Source reading | |
| 8 | Mid-Term Exam | Review the topics discussed in the lecture notes and sources | |
| 9 | The range for the population variance estimation, interval estimation for the difference between two population means (mass variances are known, unknown) | Source reading | |
| 10 | estimation for the proportion of variance , interval estimation for the binomial parameter p, the interval for the difference of two binomial parameter estimation | Source reading | |
| 11 | Hypothesis tests, simple hypothesis testing, hypothesis testing for the population mean (variance of the population is known, unknown) | Source reading | |
| 12 | hypothesis testing for population the variance , hypothesis testing for the difference in the two group averages | Source reading | |
| 13 | Hypothesis test for the equality of population averages | Source reading | |
| 14 | Chi-square tests | Source reading | |
| 15 | Classification tables and problem-solving | Source reading | |
| 16 | Term Exams | Review the topics discussed in the lecture notes and sources | |
| 17 | Term Exams | Review the topics discussed in the lecture notes and sources |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 28 | 28 |
| Total Workload (Hour) | 152 | ||
| Total Workload / 25 (h) | 6,08 | ||
| ECTS | 6 ECTS | ||