Statistics ｜シラバス情報

授業科目名

Statistics

学年

1年

単位数

2.00単位

実務経験の有無

開講クォーター

セメスタ指定なし

担当教員

小松　悟朗

授業形態

授業で主に使用する言語

English

授業方法区分

開講キャンパス

紀尾井町キャンパス

授業の到達目標及びテーマ

This course provides an introductory statistics and the fundamentals of data analysis.

The goal of the lecture series is to make students well-equipped with the variety of basic tools and concepts in Statistics and Probability necessary for data analysis.

We particularly focus on providing our students with hands-on experiences in working with real-world data using some softwares such as Excel, so that students will be able to readily tackle a broad range of research questions they will pursue in their master thesis, including survey data analyses.

授業の概要

Course Title: Statistics (Basic Theories and Methodology b)

Class Format: Lecture

Content:
The topics to be covered in classes will include:
(1) mastering how to collect and organize data for decision making;
(2) understanding basic concepts in probability and statistics;
(3) estimating statistical models and testing hypothesis using data; and
(4) understanding linear regression analysis as well as survey data analysis necessary for master thesis writing.

Keywords:
Statistics, Probability, Estimation, Hypothesis Testing, Analysis of Variance, Regression Analysis, Survey Data Analysis, Data Science, Excel

Week 1—Describing Data
1 Introduction
2 Describing Data

Week 2—Basic Probability and Statistics
3 Descriptive Statistics
4 Probability and Random Variables

Week 3—Probability Distributions
5 Discrete Probability Distributions
6 Continuous Probability Distributions

Week 4—Sampling Distributions and Confidence Intervals
7 Sampling Distributions
8 Confidence Intervals

Week 5—Hypothesis Testing and Regression Analysis (1)
9 Hypothesis Testing
10 Simple Regression Analysis

Week 6—Hypothesis Testing and Regression Analysis (2)
11 Multiple Regression Analysis
12 Regression Analysis for Survey Data

Week 7
13 Wrap-up

授業計画

1回

1 Introduction

事前学習

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事後学習