We can obtain various kinds of data through experiments, observations, or questionnaires.
Statistics is one of the methods to extract information from such data and understand the structure behind it.
Analysis methods for such data have become increasingly important in recent years and developed in various directions.
The contents in this class are fundamental and have been used for a long time, and its understanding is essential for handling data.
Students will learn the basic concepts and analytical methods in statistics in this class.
Statistics is one of the methods to extract information from such data and understand the structure behind it.
Analysis methods for such data have become increasingly important in recent years and developed in various directions.
The contents in this class are fundamental and have been used for a long time, and its understanding is essential for handling data.
Students will learn the basic concepts and analytical methods in statistics in this class.
understand the basic concepts and analytical methods in statistics.
In particular, the purposes of this class are to understand data description and summarization, probability and probability distributions, inferential statistics, and linear models and to be able to apply them to data.
In particular, the purposes of this class are to understand data description and summarization, probability and probability distributions, inferential statistics, and linear models and to be able to apply them to data.
| Goals and objectives | Course Outcomes | |
|---|---|---|
| 1. | Understand the description and summary of data. | |
| 2. | Understand probability, probability distributions, and their relationship to data. | |
| 3. | Understand and apply inferential statistics to data. | |
| 4. | Understand hypothesis testing and apply it to data. | |
| 5. | Understand linear models and apply them to data. |
| Class schedule | HW assignments (Including preparation and review of the class.) | Amount of Time Required | |
|---|---|---|---|
| 1. | Data description and summary 1 | Do the assignment | 20分 |
| 2. | Data Description and Summary 2 | Do the assignment | 20分 |
| 3. | Probability and probability distribution 1 | Do the assignment | 20分 |
| 4. | Probability and Probability Distribution 2 | Do the assignment | 20分 |
| 5. | Statistical Estimation | Do the assignment | 20分 |
| 6. | Distributions and Statistical Estimation 1 | Do the assignment | 20分 |
| 7. | Mid-term exam | Review of 1~6 | 150分 |
| Exam Review | 30分 | ||
| 8. | 分Distributions and Statistical Estimation 2 | Do the assignment | 20分 |
| 9. | Statistical Hypothesis Testing 1 | Do the assignment | 20分 |
| 10. | Statistical Hypothesis Testing 2, Data Description and Summary 3 | Do the assignment | 20分 |
| 11. | Linear Model Analysis1 | Do the assignment | 20分 |
| 12. | Linear Model Analysis 2 | Do the assignment | 20分 |
| 13. | Other Analysis Methods | Do the assignment | 20分 |
| 14. | Final exam | Review of 8~13 | 175分 |
| Exam Review | 30分 | ||
| Total. | - | - | 625分 |
| Assignments | Mid-term exam | Final exam | Total. | |
|---|---|---|---|---|
| 1. | 8% | 12% | 20% | |
| 2. | 8% | 12% | 20% | |
| 3. | 8% | 6% | 6% | 20% |
| 4. | 8% | 12% | 20% | |
| 5. | 8% | 12% | 20% | |
| Total. | 40% | 30% | 30% | - |
Assignments and examinations will be based on questions of the level 2 of the Statistics Proficiency Test.
Students will be required to pass the exam with a score of 60 points or higher out of a total of 100 points (40% for the assignment and 60% for the exam).
Students will be required to pass the exam with a score of 60 points or higher out of a total of 100 points (40% for the assignment and 60% for the exam).
- Course that cultivates an ability for utilizing knowledge
| Work experience | Work experience and relevance to the course content if applicable |
|---|---|
| N/A | 該当しない |
Last modified : Wed Mar 23 04:38:20 JST 2022