Final answer:
The question lacks specifics, but to find sample means and standard deviations, sums of values are divided by the number of values for means, and the square roots of average squared deviations from means are taken for standard deviations.
Step-by-step explanation:
The question appears to require calculation of means and standard deviations for scores in Math12 and Read12, but the data for these specific variables has not been provided in the question details. To find the sample mean, you would add up all the values in the sample for that subject and divide by the number of students in the sample. The standard deviation provides a measure of the amount of variation or dispersion in a set of values. It is calculated by taking the square root of the variance, which involves finding the average of the squared differences from the mean. In Example 10.2, a comparison is made between two samples from neighboring colleges to determine which graduates students with more math classes, where sample means and standard deviations are given for both colleges. In such hypothesis testing scenarios, whether testing for a single mean like in the case of the Math12 and Read12 or comparing two means, the underlying population distribution is assumed to be normal, especially if the sample size is large enough, usually over 30, which according to the Central Limit Theorem would justify the normality assumption.