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I'm not sure about my answers for b), c) & d). Am i right?
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@amistre64
the sampling distribution of the sample means are normally distributed, that is the basis of the central limit thrm the sample mean is an estimate of the population mean and the sample standard deviation is a division by sqrt(n) of the population "sd" the rest of it is of course using those as the parameters to find the probabilities
z > (90.9 - 87)/3; 1.3 z <= (80.1 - 87)/3; -2.3 (85.2 - 87)/3 < z < (92.25 - 87)/3 -.06 1.75 a normalCDF function would take care of those, or table it as needed
0.0968 0.0107 9599 - 4761 ------ 0.4838
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