One-tailed tests only work in one direction, while two-tailed tests work in both directions.
One-tailed
Ho: A = B
H1: A < B or A > B (not both)
Two-tailed
Ho: A = B
H1: A ≠ B
I would think the companies would not want their products to deviate significantly from the standard in either direction.
What is the difference between the null and alternative hypotheses statements in one-tailed and two-tailed tests? How can manufacturing companies use the standard normal distribution to determine quality control of their products?
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