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
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.
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