| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics | RKR301 | Compulsory | Bachelor's degree | 3 | Fall | 2 |
Name of Lecturer(s)
Associate Prof. Dr. Hakan AKDENİZ
Learning Outcomes of the Course Unit
1) Define what is meant by statistics
2) Explain what is meant by descriptive statistics and inferential statistics.
3) Organize raw data into an frequency distribution
4) Portray the frequency distribution in a histogram, a frequency polygon, and cumulative frequency polygons.
5) Calculate the arithmetic mean, median, and mode
6) Explain the characteristic, use, advantages, and disadvantages of each average.
7) Identify the position of the arithmetic mean, median, and mode for both a symmetrical and a skewed distribution.
8) Compute various measures of dispersion for raw data.
9) Explain the characteristics, uses, advantages, and disadvantages of each measure of dispersion presented
10) List the characteristics of a normal probability distribution.
11) Explain the various methods of selecting a sample
12) Define Hypothesis Testing (Theory and Applications)
Program Competencies-Learning Outcomes Relation
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| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | ||
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| 1 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 6 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 7 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 8 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 9 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 10 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 11 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 12 | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
no
Course Contents
Definition of Statistics: Fundamental concepts in statistics, Data collection techniques, Classification of data, Frequency distributions; Graphs; Averages; Means; Variability: Range, Standard deviation, Moments; Normal Distribution: Normal distribution function, Calculation of the area under the normal curve; Sampling Theory; Indexes: Types of indexes.
Weekly Schedule
1) Statistics and basic concepts: the present importance of statistics, data, variable, population, sample, parameter, the statistic of sample2) Statistics and basic concepts: the present importance of statistics, data, variable, population, sample, parameter, the statistic of sample
3) Classification of data: types of data, collecting data, organizing the data
4) Frequency distributions and cumulative frequency distributions Graphic presentation of data: histogram, frequency polygon
5) Measures of central tendency: the arithmetic mean, the median
6) Measures of central tendency: the arithmetic mean, the median
7) Measures of central tendency: the mode, compairing the mode, median, and mean
8) Midterm examination/Assessment
9) The normal distribution and standart normal distribution
10) The area under the normal distribution: finding probability under the normal distribution
11) Sampling methods: simple random sampling, sampling error, sampling distribution of means
12) Hypothesis Testing (Theory and Applications) : Tests Concerning Means ; Tests Concerning Differences Between Means ;Tests Concerning Proportions
13) Hypothesis Testing (Theory and Applications) : Tests Concerning Means ; Tests Concerning Differences Between Means ;Tests Concerning Proportions
14) The Chi-Square Goodness-Of-Fit Test ; The Kolmogorov-Smirnov test, Rank Correlation and Other Measures of Association : The Spearman Rank Correlation Coefficient
15) Analysis of Variance : One-Way Analysis of Variance ; Two-Way Analysis of Variance; Experimental Design
16) Final examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Lab / Workshop
4) Self Study
5) Problem Solving
6) Project Based Learning
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
20% |
|---|---|
Contribution of Final Examination to Course Grade |
80% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required