Type I and type II errors
Summary
A type I error is the rejection of a true null hypothesis, a false positive. A type II error is the failure to reject a false null hypothesis, a false negative. The node type I and type II errors gives the precise definition.
What this node needs for W1
- an inventory row: the row of the inventory that the node accounts for (0 of 1)
The writing levels say how complete the text of a node is. They do not measure its truth.
Sources
What links here
Definitions
- Type I and type II errors 0R41PVFA39