- Course Code
- RPSD207
- Semester
- Third Term (Fall)
- Theory+Practice
- 2 + 0
- ECTS
- 4
| Course Type | Compulsory Course |
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| Course Level | Bachelor's Degree |
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| Year of Study | 2 |
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| Semester | Third Term (Fall) |
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| ECTS | 4 |
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| Name of Lecturer(s) |
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| Learning Outcomes |
At the end of this course, the students;
- Explain basic concepts of statistics.
- Enter data to package program, examine and interpret missing values and outliers in data.
- Discuss the sampling distribution, Central Limit Theorem and normal distribution.
- Calculate and interpret descriptive statistics and standard scores.
- Summarize the data with graphics.
- Run and interpret the results of analysis of correlation and simple linear regression.
- State hypotheses for the purpose of research and test them.
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| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
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| Recommended Optional Programme Components | No |
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| Course Description | |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Basic Concepts of Statistics |
|
2nd Week |
Entering Data to Package Program, Missing Value and Outliers |
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3rd Week |
Measures of Sentral Tendency, Histograms, Bar Graph, Diagram, Line Graph |
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4th Week |
Measure of Dispersion (Standard Deviation, Varians, Quartiles), Standard Scores, |
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5th Week |
Correlation and Simple Linear Regression |
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6th Week |
Correlation and Simple Linear Regression |
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7th Week |
Normal Distribution, Skewness and Kurtosis, Z and T Scores, Percentiles, Relation Between Percentile and Z Score |
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8th Week |
Midterm |
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9th Week |
Sampling Distribution and Central Limit Theorem |
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10th Week |
Sampling Distribution and Central Limit Theorem |
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11th Week |
Hypothesis Testing: One-Sample Case for The Mean |
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12th Week |
Hypothesis Testing: One-Sample Case for The Mean |
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13th Week |
Hypothesis Testing: Independent Samples for The Mean |
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14th Week |
Hypothesis Testing: Dependent Samples for The Mean |
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15th Week |
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16th Week |
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| Recommended or Required Reading | Hinkle, D. E., Wiersma, W. and Jurs, S. G. (1988). Applied Statistics for the Behavioral Sciences. Boston: Houghton Mifflin Company.
Gravetter, F. J. and Wallnau, L. B. (2015). Statistics for the Behavioral Sciences. Boston: Cengage Learning.
Tan, Ş. (2016). SPSS ve Excel Uygulamalı Temel İstatistik I. Ankara: Pegem Akademi Yayıncılık. |
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| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Report Preparation
- Case Study
|
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| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
20 |
| Total(%) |
|
50 |
| Contribution of In-term Studies to Overall Grade(%) |
|
50 |
| Contribution of Final Examination to Overall Grade(%) |
|
50 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
12 |
12 |
| Preparation for Quiz |
|
|
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| Individual or group work |
|
|
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| Preparation for Final exam |
1 |
20 |
20 |
| Course hours |
15 |
1 |
15 |
| Preparation for Midterm exam |
1 |
14 |
14 |
| Laboratory (including preparation) |
14 |
2 |
28 |
| Final exam |
1 |
15 |
15 |
| Homework |
8 |
2 |
16 |
| Total Work Load | 120 |
| Total Work Load / 30 (h) | 4 |
| ECTS Credit of the Course | 4 |
|
| Language of Instruction | English |
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| Work Placement(s) | No |
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Programme Qualifications / Learning Outcomes
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