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Type 1 vs type 2 error
Type 1 vs type 2 error










Hypothesis - Floride added to a toothpaste protects teeth against cavities. Null Hypothesis - Water added to a toothpaste has no effect against cavities. Hypothesis - Water added to a toothpaste protects teeth against cavities. Consider the following examples: Example 1

type 1 vs type 2 error

Null Hypothesis refers to a statement which nullifies the contrary with evidence. Type I error represents the incorrect rejection of a valid null hypothesis whereas Type II error represents the incorrect retention of an invalid null hypothesis. Type I and Type II errors signifies the erroneous outcomes of statistical hypothesis tests. Regression Intercept Confidence Interval.Process Capability (Cp) & Process Performance (Pp).

type 1 vs type 2 error

  • Data collection - Questionaire Designing.











  • Type 1 vs type 2 error