NATS 1500 Lecture Notes - Lecture 19: Chi-Squared Distribution, Null Hypothesis, Statistical Significance

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It"s important to distinguish between samples that have been rigorously obtained, so that you can really generalize rigorously to the population it came from. The chance is so small that you reject the hypothesis that it happened by chance. If it is likely that such a thing can happen, then you do not reject the hypothesis that it happened by chance. 6. 5 assessing the statistical significance of a 2 x 2 table. A statistically significant relationship or difference is one that is large enough to be unlikely to have occurred in the observed sample if there is no relationship or difference in the population. Statistical significance a term you might see/hear a lot. It means that the difference that is found is large enough that it was unlikely to have occurred in the observed sample if there was no relationship in the population. Hypothesis (h0 h sub 0 or hnaught or null hypothesis): no relationship in the population.

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