SEB1 Pengantar Statistika / Konsep Dasar Statistika - Statistika Ekonomi dan Bisnis bab 1 (Part 1)

Summary

This video introduces the Business Economic Statistics course, offering an overview of the fundamental topics covered in the subject. The course focuses on understanding the role of statistics in business economics, including data collection, analysis, and interpretation. Key concepts such as descriptive and inferential statistics, types of data, and methods of data presentation are discussed. The video also outlines the grading components, which include quizzes, assignments, and class participation, emphasizing the importance of engaging in discussions. The course will provide students with the necessary skills to analyze both micro and macroeconomic data effectively.

Takeaways

• 😀 Introduction to Business Economics Statistics for the 2020-2021 Semester, focusing on foundational concepts and the syllabus structure.
• 😀 The course includes two levels: the first level is about basic statistics, and the second level (advanced) focuses on business statistics.
• 😀 The instructor for this course is Faiz Sihab, with office hours available during class times for consultations.
• 😀 The main reference book for the course is Henderson's 11th edition, available online via Google Drive for easy access.
• 😀 The assessment components are divided into 30% for midterms (UTS), 30% for final exams (UAS), and 40% for class participation and tasks.
• 😀 Tasks may include individual or group assignments, and participation can contribute 5-15% to the final grade, based on classroom engagement.
• 😀 Understanding the role of statistics involves collecting, processing, analyzing, and presenting data to assist decision-making.
• 😀 Data is defined as a collection of facts, which can be used for various decision-making processes in real-life situations, such as deciding whether to bring an umbrella based on weather data.
• 😀 Statistics is applied in various fields like accounting, economics, and finance to analyze and forecast trends, such as the future state of an economy.
• 😀 Statistics is divided into two main types: Descriptive Statistics (summarizing existing data) and Inferential Statistics (drawing conclusions from samples).

Q & A

What is the main focus of the 'Statistika Ekonomi Bisnis' course?

The course focuses on economic business statistics, specifically the collection, processing, analysis, and presentation of data to aid decision-making in business and economics.

Who is the instructor of this course and how can students contact them?

The instructor is Faiz Sihab. Students can contact him via email at [email protected], and consultations can be done during lecture hours.

What is the grading breakdown for the course?

The grading breakdown is as follows: 30% for the Midterm Exam (UTS), 30% for the Final Exam (UAS), and 40% for Participation and Quizzes (TM), which includes two quizzes and assignments.

How will the participation grade be determined?

Participation will be graded based on classroom activity, including asking and answering questions or engaging in tasks. The participation grade will contribute 5% to 15% of the total grade.

What are the two main types of statistics discussed in the course?

The two main types of statistics are Descriptive Statistics, which focuses on summarizing and analyzing existing data, and Inferential Statistics, which involves making predictions or generalizations based on sample data.

What is the difference between Descriptive and Inferential Statistics?

Descriptive Statistics involves summarizing and presenting data already collected, while Inferential Statistics makes predictions or assumptions about a larger population based on sample data.

What is the definition of statistics according to the instructor?

Statistics is defined as the science of collecting, processing, analyzing, and presenting data to make informed decisions.

What are the two major classifications of data types mentioned in the course?

Data is classified into two main types: Qualitative (non-numeric) and Quantitative (numeric). Qualitative data includes categories like gender, while Quantitative data includes numeric values like age or salary.

What is the difference between discrete and continuous data?

Discrete data refers to countable and fixed values, such as the number of children in a family, while continuous data can vary over time, such as time remaining in a class.

Can you give an example of how time-series and cross-section data differ?

Time-series data involves observations over multiple time periods for a single entity (e.g., economic data from a country over several years), while cross-section data involves observations at a single point in time for multiple entities (e.g., economic data from different countries in one year).