To solve the given problem, we need to:
- Sort the data from smallest to largest value.
- Calculate the population mean.
- Calculate the population standard deviation.
- Find the weight that is 3 standard deviations below the mean.
The given data is sorted from smallest to largest value:
\[
[174, 178, 179, 184, 185, 185, 185, 185, 188, 190, 200, 202, 205, 206, 210, 212, 212, 212, 212, 215, 215, 220, 223, 228, 230, 232, 241, 241, 242, 245, 247, 250, 250, 259, 260, 260, 265, 265, 270, 272, 273, 275, 276, 278, 280, 280, 285, 285, 286, 290, 290, 295, 302]
\]
The population mean, \(\mu\), is calculated as:
\[
\mu = 236.3962
\]
The population standard deviation, \(\sigma\), is calculated as:
\[
\sigma = 37.4379
\]
The weight that is 3 standard deviations below the mean is calculated as:
\[
\mu - 3\sigma = 236.3962 - 3 \times 37.4379 = 124.0825
\]