Appendix B: Statistical Inference
Statistical inference is a tool for analysis and discussion of options, alternatives, and actions. There are two types of errors:
Type 1 is when you accept a statement as fact (the hypothesis) and take action and it turns out that the statement (the hypothesis) is false.
Type 2 is when you reject a hypothesis and take no action and it turns out that the hypothesis is true.
The base assumption or statement or null hypothesis is: humans are causing dangerous global warming."* In statistical inference, the base assumption usually is phrased that things are unsafe until proven safe, which is the basis for the specific wording. A Type 1 error often occurs when data are scarce and scientists and decision makers ...
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