Figure4 - national average. There is a greater than 5...

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Figure 1. The  z -score defines the boundary of the zones of rejection and acceptance.  Suppose that the mean admission rate for the sample of hospitals in sunny regions is 13  per 10,000 and suppose also that the corresponding  z- score for that mean is –1.20. The  test statistic falls in the region of acceptance; so you cannot reject the null hypothesis  that the mean in sunny parts of the country is significantly lower than the mean in the 
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Unformatted text preview: national average. There is a greater than 5 percent chance of obtaining a mean admission rate of 13 per 10,000 or lower from a sample of hospitals chosen at random from the national population, so you cannot conclude that your sample mean could not have come from that population....
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