Hey,
I've been working on a homework assignment regarding z-scores with an IQ test which has a mean of 100 and a standard deviation of 16. Xbar=100, S=16
I have my super handy table for areas under the normal curve.
I found the 2 scores which fall between the central 20% of the population, which are 95 and 106.
Using the table, I got these scores using x=xbar+(area beyond z statistic in table)(standard deviation) [so 100+(.3446)(16)] for the upper score.
The next questions is: beyond what scores do the most extreme 5% of the distribution lie? I imagine they're talking about the two end of the tails, but I don't know exactly how to go about doing this. Would someone help out?
I've been working on a homework assignment regarding z-scores with an IQ test which has a mean of 100 and a standard deviation of 16. Xbar=100, S=16
I have my super handy table for areas under the normal curve.
I found the 2 scores which fall between the central 20% of the population, which are 95 and 106.
Using the table, I got these scores using x=xbar+(area beyond z statistic in table)(standard deviation) [so 100+(.3446)(16)] for the upper score.
The next questions is: beyond what scores do the most extreme 5% of the distribution lie? I imagine they're talking about the two end of the tails, but I don't know exactly how to go about doing this. Would someone help out?