Answer :

Given a sample with a mean of 145 lb, a size of 16, and a standard deviation of 16 lb, we can analyze the sample using statistical measures such as the mean and standard deviation to understand the characteristics of the data.

The mean, also known as the average, is calculated by summing up all the values in the sample and dividing by the sample size. In this case, the mean is 145 lb.
The standard deviation measures the dispersion or spread of the data points around the mean. It quantifies the variability within the sample. A higher standard deviation indicates a greater spread of values. In this case, the standard deviation is 16 lb.
These statistical measures help us understand the central tendency and variability of the sample data. The mean of 145 lb indicates the average weight within the sample, while the standard deviation of 16 lb suggests that the weights in the sample are spread out around the mean. This information can be useful for making comparisons, identifying outliers, or conducting further statistical analysis.

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