This is more of a stats than SAS question. One of the things that you need to know about the z score table is that this table shows the percentage of values using, in most cases, a decimal figure). I think I'm mangling this but hopefully it helps to clear up things. The one vs two sides is important here, if it was a one sided test, you would look up 0.05 in the table which would give you a critical value of ~1.645 In the inverse manner, you can calculate your Z-Score, find the area under the curve and that is your p-value, which is compared to your cutoff level.
You can use this number to compare to the Z score you calculate in your data, if the Z-Score is less than the cutoff you accept your null hypothesis, otherwise you reject your null hypothesis. 2.21 TABLE A PRACTICE Use Table A to find the proportion of observations from a standard normal curve that satisfies each of. Look up that value (or 1-0.025=0.0975) in the table and the corresponding Z critical value is 1.96 (or -1.96). So if alpha was 0.05 and it was a two sided score, divide alpha in half for 0.025. Also, is it a one sided or two sided test?īack in the day you'd have the read the Z cut off value from the table:
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