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| Course Description |
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| Course Name |
: |
Introduction To Statistics |
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| Course Code |
: |
İSB104 |
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| Course Type |
: |
Compulsory |
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| Level of Course |
: |
First Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Spring (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
: |
Prof.Dr. SELAHATTİN KAÇIRANLAR
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| Learning Outcomes of the Course |
: |
Learn some continuous distributions
Learn the methods of sampling and sample selection
Edit the data and analyzes
Understand measures of central tendency and dispersion measures
understand sampling distributions and the properties
Learn and use methods of estimation
Apply hypothesis testing
make tests of the alignment and independence based on based on Chi-square
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| Mode of Delivery |
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Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
Learn the basic concepts of statistics, analysis and reviews statistical problems encountered |
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| Course Contents |
: |
Students will comprehend gauss distribution, sampling distributions, estimation, confidence intervals, hypothesis testing, power of test, chi-square test |
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| Language of Instruction |
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Turkish |
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| Work Place |
: |
Faculty of Arts and Sciences Annex Classrooms |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
use pdf and properties of the normal distribution, calculate the mean and standard deviation , using the standard normal distribution table |
Source reading |
Lecture, discussion and problem-solving |
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2 |
Normal approximation to the binomial distribution, continuity correction and calculation of probability, the use of the table for given probability |
Source reading |
Lecture, discussion and problem-solving |
|
3 |
Some continuous distributions and their characteristics, sampling and sample selection methods, Introduction to Data Analysis, Frequency Chart, Histogram, frequency polygon drawing |
Source reading |
Lecture, discussion and problem-solving |
|
4 |
Measures of central tendency (mean, median, mode, geometric mean, harmonic mean) |
Source reading |
Lecture, discussion and problem-solving |
|
5 |
Measures of Dispersion, Dal leaf display, Box drawing, Coefficient of Variation |
Source reading |
Lecture, discussion and problem-solving |
|
6 |
Sampling Distributions and estimation, point estimation, estimators, mean and variance of the sample properties |
Source reading |
Lecture, discussion and problem-solving |
|
7 |
Interval estimation for the population mean, t-distribution, (known and unknown, while sigma), chi-square, F distribution, sample size calculation |
Source reading |
Lecture, discussion and problem-solving |
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8 |
mid-term exam |
Rewview the topics discussed in the lecture notes and sources |
written exam |
|
9 |
The range for the population variance estimation, interval estimation for the difference between two population means (mass variances are known, unknown) |
Source reading |
Lecture, discussion and problem-solving |
|
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 |
Lecture, discussion and problem-solving |
|
11 |
Hypothesis tests, simple hypothesis testing, hypothesis testing for the population mean (variance of the population is known, unknown) |
Source reading |
Lecture, discussion and problem-solving |
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12 |
hypothesis testing for population the variance , hypothesis testing for the difference in the two group averages |
Source reading |
Lecture, discussion and problem-solving |
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13 |
Hypothesis test for the equality of population averages |
Source reading |
Lecture, discussion and problem-solving |
|
14 |
Chi-square tests |
Source reading |
Lecture, discussion and problem-solving |
|
15 |
Classification tables and problem-solving |
Source reading |
Lecture, discussion and problem-solving |
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16/17 |
final exam |
Rewview the topics discussed in the lecture notes and sources |
written exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Fikri Akdeniz (2009), Olasılık ve İstatistik, Nobel Kitabevi, Adana
DeGroot,MH and Schervish, MJ (2002), Probability and Statistics, Third edition, Addison Wesley
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| |
| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
80 |
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Homeworks/Projects/Others |
4 |
20 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
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Final Assessments
|
100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Utilize computer systems and softwares |
3 |
|
2 |
Apply the statistical analyze methods |
4 |
|
3 |
Make statistical inference(estimation, hypothesis tests etc.) |
5 |
|
4 |
Generate solutions for the problems in other disciplines by using statistical techniques |
3 |
|
5 |
Discover the visual, database and web programming techniques and posses the ability of writing programme |
0 |
|
6 |
Construct a model and analyze it by using statistical packages |
1 |
|
7 |
Distinguish the difference between the statistical methods |
4 |
|
8 |
Be aware of the interaction between the disciplines related to statistics |
3 |
|
9 |
Make oral and visual presentation for the results of statistical methods |
5 |
|
10 |
Have capability on effective and productive work in a group and individually |
1 |
|
11 |
Develop scientific and ethical values in the fields of statistics-and scientific data collection |
4 |
|
12 |
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics |
4 |
|
13 |
Emphasize the importance of Statistics in life |
5 |
|
14 |
Define basic principles and concepts in the field of Law and Economics |
0 |
|
15 |
Produce numeric and statistical solutions in order to overcome the problems |
5 |
|
16 |
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events |
5 |
|
17 |
Use proper methods and techniques to gather and/or to arrange the data |
5 |
|
18 |
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 |
0 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
|
Class Time (Exam weeks are excluded) |
14 |
4 |
56 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
4 |
56 |
| Assesment Related Works |
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Homeworks, Projects, Others |
4 |
3 |
12 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
15 |
15 |
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Final Exam |
1 |
20 |
20 |
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Total Workload: | 159 |
| Total Workload / 25 (h): | 6.36 |
| ECTS Credit: | 6 |
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