Course title
402045001
Practice on Statistics

 kato kyoko

hirose sampei Click to show questionnaire result at 2018
Course description
Various kinds of data can be obtained through experiments, observations, and questionnaires. One of the methods to extract information from such data and understand the underlying structure is statistics. Analytical methods for such data have recently become increasingly important and have been developed in various directions. The content of statistics in this class has been used for a long time as a method of handling data, and it is very basic, but its understanding is essential because it is basic.
In this class, students learn basic concepts in statistics through an exercise using R.
Purpose of class
The purpose of this class is to understand basic statistical concepts and statistical analysis methods, and to be able to calculate them using computer.
Goals and objectives
  1. To be able to understand descriptive statistics, and applied to the data.
  2. To be able to understand inferential statistics, and applied to the data.
  3. To be able to understand regression analysis, and applied to the data.
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Overview of statistics and R Read through the handouts before class. Review after class. 90minutes
2. Descriptive statistics Read through the handouts before class. Review after class. 90minutes
3. Experimental inferential statistics Read through the handouts before class. Review after class. 90minutes
4. random variable Read through the handouts before class. Review after class. 90minutes
5. Inferential statistics from a probabilistic point of view Read through the handouts before class. Review after class. 90minutes
6. Point estimation and interval estimation Read through the handouts before class. Review after class. 90minutes
7. Hypothesis testing Read through the handouts before class. Review after class. 90minutes
8. Midterm examination and its explanation Preparation of midterm examination. 90minutes
9. Two-sample hypothesis testing Read through the handouts before class. Review after class. 90minutes
10. Chi-squared test Read through the handouts before class. Review after class. 90minutes
11. Hypothesis testing for population correlation coefficient and simple regression analysis Read through the handouts before class. Review after class. 90minutes
12. Multiple regression analysis Read through the handouts before class. Review after class. 90minutes
13. Analysis of variance Read through the handouts before class. Review after class. 90minutes
14. Final examination and their explanations Preparation of final examination. 90minutes
Total. - - 1260minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Midterm examination Final examination Practices and reports Total.
1. 5% 4% 9%
2. 25% 18% 29% 72%
3. 12% 7% 19%
Total. 30% 30% 40% -
Evaluation method and criteria
Midterm examination(30%), Final examination(30%), Practices and reports(40%)
Textbooks and reference materials
Handouts are provided
Prerequisites
Review Differential and Integral Calculus 1, Linear Algebra 1, and Comprehensive Introductory Seminar (Academic and information skills)
Office hours and How to contact professors for questions
  • 30 minutes after class
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
About half of the classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A 該当しない
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Thu May 20 04:03:17 JST 2021