Inferential vs. descriptive statistics explained with an example of conjecturing the percentage of people with type O blood and reasons for potential result differences.
Inferential statistics involves making predictions or inferences about a population based on a sample, while descriptive statistics focuses on summarizing and describing data from a sample.
When contacting a hospital for the percentage of the population with type O blood, the results might differ because there could be variations in the sample surveyed compared to the entire population, making it challenging to generalize the findings.
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