[Seminar] Introduction to Experimental Design Course - Explained Clearly from the Basics of Statistics

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last updated：Dec 15, 2025

TH企画

Welcome to those who are not good at statistics! We will gently systematize and explain the core of experimental design, including analysis of variance, interactions, and orthogonal arrays.

We will hold a seminar titled "Introduction to Experimental Design: A Clear Explanation from the Basics of Statistics." This introductory course allows you to efficiently acquire the skills to design "fail-proof experiments" that can be directly applied in various industries such as research and development, production technology, quality control, pharmaceuticals, and food, all within half a day. Through demonstrations using Excel analysis tools and the free software G*Power, you will clearly understand "why to test these conditions" and "how many measurements are sufficient." [Seminar Overview (Partial)] ■ Date: February 17, 2026 (Tuesday) 13:00 - 16:30 ■ Venue: Online only (Zoom system) ■ Participation Fee (including tax): 38,500 yen ■ Course Materials: PDF materials (included in the participation fee) *Please apply early as the registration will close once the capacity is reached.

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【Acquired Knowledge】 ■ The basic structure of one-way and two-way ANOVA, and how to interpret and read the results ■ Organization of important concepts in experimental design such as factors, levels, and interactions ■ How to construct "experiments that are less likely to fail" based on Fisher's three principles ■ Basic ideas for efficiently testing factors with a limited number of trials using orthogonal arrays ■ Steps for conducting ANOVA using Excel analysis tools and checkpoints for checking output results ■ A simple method for estimating sample size and power using the free software G*Power ■ Basic skills for independently designing "waste-reducing experimental plans" that can be applied to your own company or department's themes *Please apply early as the application will close once the capacity is reached.