statistics
posted by love on .
use SPSS to calculate the 90%, 95% and 99% confidence intervals for the mean of the variable weight. Interpret the three confidence intervals in terms of whether there is a significant difference between the mean of the sample and a hypothesized mean of 150.

Sample data missing.
For the value needed, find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion/probability of the outliers on each of both ends (.05, .025, .005) and the Z score.
90% = mean ± 1.645 SEm
95% = mean ± 1.96 SEm
99% = mean ± 2.575 SEm
SEm = SD/√n