MORE ON HYPOTHESIS TESTING


In the previous example, you performed a statistical test of a hypothesis. You tested whether two variables have the same average values in the population. This was the basic procedure:

  • You wanted to draw conclusions about the population, but you could not experiment with the entire population, so you had to base your conclusions about the population on the results from the sample.

  • You calculated how likely it is that a difference as large as the one you observed would occur if no difference exists between the two means in the population.

  • Since there was a 13% chance that you could see a difference as large as the one you observed if the population means did not differ , the evidence was too skimpy to reject the hypothesis of no difference.




Six Sigma and Beyond. Statistics and Probability
Six Sigma and Beyond: Statistics and Probability, Volume III
ISBN: 1574443127
EAN: 2147483647
Year: 2003
Pages: 252

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