Hypothesis Testing

Hypotheses are assumptions about potential relationships. A test is conducted to either support (null hypothesis H0) or disprove (alternative hypothesis HA or H1) a suspicion with data. Through the tests, you choose between the two hypotheses. The alternative hypothesis suggests that a significant difference exists, while the null hypothesis states that no difference can be detected.

Objective:
  • Infer from a sample to the population
  • Secure decisions against the risk of error
Tips:
  • At our company, which manufactures machines, we purchase screws from two suppliers.
  • We want to compare the strength of the screws by testing them.
Platzhalter

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