
JMP is statistical analysis software, so it has many functions for statistical estimation and testing. These functions are used by customers in the fields of drug development and medical care, but customers in the manufacturing industry sometimes say, "I'm interested, but I don't know how to use them specifically." there is.
Therefore, this time, we planned a seminar for customers in the manufacturing industry that will serve as an opportunity for them to use statistical estimation and testing. Using real-world examples from manufacturing sites, JMP can be used to evaluate product quality and research results with statistical evidence.
- This seminar is 2023 Year 7 of the same title held in May Web a seminar Ten It is divided into two parts and reassembled for on demand.
- In this seminar, the latest version at the time of the seminar, " JMP 17.1 ” is being used.
- * After playing the video, click the frame icon in the lower right to watch it in full screen.
Link to seminar handout
Part 1. introduction
Play time: 7:07
Topic: Possible Cases in Manufacturing
Part 2.What is estimation
Play time: 15:45
Topics: Estimation and Testing, Point Estimation, Interval Estimation, Normality
Part 3.Calculating Estimates and Checking Normality (JMP Demo)
Play time: 4:40
Topics: estimates, 95% Confidence interval, normal quantile plot
Part 4.What is statistical hypothesis testing?
Play time: 14:39
Topics: null hypothesis, alternative hypothesis, p value, two-tailed, one-tailed
Part 5.Statistical Hypothesis Testing Procedure
Play time: 6:35
Topics: Hypothesis Test Examples, Mean Tests, Proportion Tests
Part 6.Examples of One-Sample Mean and Two-Sample Mean (JMP Demo)
Play time: 16:07
Topic: Mean test
Part 7.Examples of One-Sample Proportions and Two-Sample Proportions (JMP Demo)
Play time: 14:39
Topic: Proportion Tests
Part 8.What is an equivalence test?
Play time: 8:06
Topics: equivalence, margin
Part 9.Equivalence Test Example (JMP Demo)
Play time: 8:29
Topics: equivalence, margin
Part 10.Equivalence Test Supplement and Overall Summary
Play time: 4:26
Topic: TOST method