Total Quality Management (TQM)and Just-In-Time (JIT)production Systems Are Based on the Premise

question 154

True/False

Total quality management (TQM)and just-in-time (JIT)production systems are based on the premise of ideal production standards.

---

Definitions:

α

The significance level in hypothesis testing, typically representing the probability of committing a Type I error.

Type II Error

The error that occurs when the null hypothesis is not rejected when it is actually false, also known as a "false negative".

Sample Size

The number of observations or units chosen from a population for the purpose of statistical analysis.

Lowering Alpha

Reducing the alpha level, or the threshold of significance, to decrease the probability of committing a type I error in hypothesis testing.