Final answer:
The question involves sampling and statistics related to high school students. Samples are extracted to represent a population. Larger samples give a better estimate of the population's characteristics.
Step-by-step explanation:
The provided information seems to be about the process of sampling and statistics related to high school students. Sampling is a method used in statistics when it is impractical or impossible to study the whole population.
A sample is a set extracted from a larger population, meant to represent that population in a smaller scale.
For example, taking a sample of 100 high school students and dividing them by classification to select equal numbers from each group (freshman, sophomore, junior, or senior) is a systematic way of creating a stratified sample, ensuring each subgroup is properly represented.
Understanding the implications of samples sizes and their representativeness is essential in reaching conclusions about the larger population.
For instance, sampling 70 teachers instead of 10 would likely give us a better estimate of the true characteristics of the teacher population because it will result in a more distributed, symmetrical normal curve.