Elementary Statistics |
TSUMURA Kenta |
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【Regional Economics･1st semester】
19-1-1432-4746 |
| １． |
Outline |
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This is an introductory course on statistical concepts, probability theory, and methods to interpret statistical data.
For the beginners of statistics, this course introduces basics of statistics such as probability distribution, mean value, and correlation.
This course is related to the diploma policies 2 and 3 of Regional Economics.
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| ２． |
Objectives |
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1. Understand basic perspectives and knowledge in statistics and probability theory.
2. Acquire basic principles to calculate and summarize data.
3. Acquire basic skills to interpret and discuss statistical data.
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| ３． |
Grading Policy |
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Your overall grade in this class will be decided based on the following:
- midterm exam: 20%
- term-end exam: 40%
- homework assignments and short paper: 40%
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| ４． |
Textbook and Reference |
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Handouts will be up-loaded to LMS in advance of the class. Students must print out and bring handouts to the class by themselves.
No textbook is required.
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| ５． |
Requirements (Assignments) |
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To prepare each class, read the handouts up-loaded to LMS in advance and check technical terms and formulas.
After each class, review the class and do homework assignments.
|
| ６． |
Note |
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This course assumes no prior knowledge of differential and integral calculus but requires fundamental knowledge of high school algebra.
In this course, students are required to have a calculator with square root button to use on exams and quizzes.
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| ７． |
Schedule |
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１. introduction
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２. history of probability theory and statistics
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３. classifications of data and levels of measurement
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４. probability distribution
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５. mean, median, mode
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６. midterm exam
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７. permutations, combinations and probability
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８. probability and expected value
|
９. standard deviation
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10. tables and graphs
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11. correlation and causation
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12. correlation coefficient
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13. practical training for calculation of correlation coefficient using computer
|
14. presentation of a short paper
|
15. term-end exam
|
|
| １． |
Outline |
|
This is an introductory course on statistical concepts, probability theory, and methods to interpret statistical data.
For the beginners of statistics, this course introduces basics of statistics such as probability distribution, mean value, and correlation.
This course is related to the diploma policies 2 and 3 of Regional Economics.
|
| ２． |
Objectives |
|
1. Understand basic perspectives and knowledge in statistics and probability theory.
2. Acquire basic principles to calculate and summarize data.
3. Acquire basic skills to interpret and discuss statistical data.
|
| ３． |
Grading Policy |
|
Your overall grade in this class will be decided based on the following:
- midterm exam: 20%
- term-end exam: 40%
- homework assignments and short paper: 40%
|
| ４． |
Textbook and Reference |
|
Handouts will be up-loaded to LMS in advance of the class. Students must print out and bring handouts to the class by themselves.
No textbook is required.
|
| ５． |
Requirements (Assignments) |
|
To prepare each class, read the handouts up-loaded to LMS in advance and check technical terms and formulas.
After each class, review the class and do homework assignments.
|
| ６． |
Note |
|
This course assumes no prior knowledge of differential and integral calculus but requires fundamental knowledge of high school algebra.
In this course, students are required to have a calculator with square root button to use on exams and quizzes.
|
| ７． |
Schedule |
|
１. introduction
|
２. history of probability theory and statistics
|
３. classifications of data and levels of measurement
|
４. probability distribution
|
５. mean, median, mode
|
６. midterm exam
|
７. permutations, combinations and probability
|
８. probability and expected value
|
９. standard deviation
|
10. tables and graphs
|
11. correlation and causation
|
12. correlation coefficient
|
13. practical training for calculation of correlation coefficient using computer
|
14. presentation of a short paper
|
15. term-end exam
|
|
|