About This Course
A hypothesis is an assumption or assertion about a population parameter or a theory about the relationship between one variable and another, or between multiple variables. Because a hypothesis is initially unproven, use a hypothesis test during data analysis activities to determine the probability that a given hypothesis is true, determine the probability that the results of the hypothesis occurred by chance, determine if a real difference exists between two populations using relatively small samples, and quantify risks associated with the hypothesis test.
Training Objectives
- Increase profitability and competitiveness.
- Understand the Hypothesis Testing and its applications.
- Identify problems and apply the appropriate tools.
- Practice using the Hypothesis Testing effectively.
- Develop quality mindset and analytical skills.
- Apply the Hypothesis Testing within the organization.
Training Delivery
➢ Duration: 3 Days in 3 Weeks
1. Introduction Hypothesis Test
2. Type I and II Errors
3. Type of Hypothesis Testing
4. Summary
➢ Study materials include:
- LSSI LEARN Document (Bilingual Materials and Training in Vietnamese)
- Additional reference materials
➢ Training methodology
Our training methodology brings diversity, modernity, and flexibility, enabling learners to absorb knowledge with enthusiasm, comfort, and proactivity.
We employ both the application of knowledge and experience to real-world situations and a deep exploration of the essence of the subject matter to help learners gain a profound understanding. Here are some teaching methods we utilize
- 50% theory and 50% hands-on practice
- Exchange and discussion (Brainstorming)
- Teamwork (3-5 People/Group)
- Case studies
- Presentations
- Gamification
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Requirements
- Prerequisite: Participants do not require any prerequisites and are open to all new members.
Target audiences
- Leadership team members (leaders, managers, directors)
- Quality Control and Assurance Managers
- Process Engineers
- Quality Improvement Professionals
- Team Leaders in Manufacturing and Production
- Managers in Service Industries involved in Quality Control Processes
