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Internet
| You can link to a one-way chi-square applet to simulate outcomes for each of two sets of expected frequencies that either reflect the known shape of the underlying population or fail to reflect the known shape of the underlying population.
Questions: 1. Occasionally, why is the outcome statistically significant (e.g., p < 0.05) even though the known shape of the underlying population is described accurately by the set of expected frequencies; that is, even though the null hypothesis is true? Answer. 2. Why might an outcome not be statistically significant (e.g., p > 0.05) even though the known shape of the underlying population isn’t described accurately by the set of expected frequencies, that is, even though the null hypothesis is false? Answer. |