Answer:
The correct answer is :
statistical inference
Step-by-step explanation:
statistical inference is the process of making scientific conclusions and stating truths about parameter on a larger population from existing data gotten from a sample of the population. In this example, only 250 women were sampled, out of the larger total population of the women in the zip code, and due to the data from the findings from these 250 women, a conclusion was drawn that held true for all the women in the zip code. Inference is made based on the laws of probability that allows conclusion to be made on a population from random sampling.
There are different approaches of statistical inference, and these include:
1. Bayesian estimation: here, conclusions are made based on a combination of prior judgments (based on previous studies) and new observations from experimental results.
2. Likelihood approach: here, prior probability results are disregarded and not used, instead, well-understood and advantageous properties of the parameter are used to draw conclusion.