A sample statistic becomes more accurate as the sample size increases due to the law of large numbers.(option C)
<h3>What is the law of large numbers?</h3>
The law of large numbers is a theorem in statistics that states that as the number of experiments increases, the sample mean becomes closer to the theoretical mean. The law of large numbers was first proved by Jacob Bernoulli.
For example, if you carry out an experiment to determine how many students in the US attend high school and the only person you ask tells you he does not attend high school. If you conclude the experiment based on the response of that one person, it is likely that you would conclude that on average, people in the US do not attend high school. If you ask more people, it is likely that your opinion would change and you could come to the conclusion that majority of US citizens attend high school.
To learn more about the law of large numbers, please check: brainly.com/question/9061041
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