A parameter is some characteristic of the population. Because studying a community directly is not usually possible, parameters traditionally estimated by using statistics (numbers calculated from sample data). In this example, the Parameter is that the per cent of all households headed by single women within the city.
What is the statistic?
The statistic may be a number describing some characteristic that you calculate from your sample data; the statistic employed to estimate the Parameter (the same characters within the population). In this example, the statistic is that the per cent of households headed by single women among the 200 selected homes.
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What is a Parameter in Statistics?
In math, a parameter is some things in an equation that have passed on in an equation. It means something different in statistics. It’s a worth that tells you something a few populations and is that the opposite from a statistic, which tells you something a few small a part of the community. A parameter never changes, because everyone (or everything) surveyed to find the Parameter. For example, you would possibly have an interest in the average age of everyone in your class. Maybe you asked everyone and located the typical age was 25. That’s a parameter because you asked everyone within the course. Now let’s say you wanted to understand the specific period of everyone in your grade or year. If you employ that information from your class to require a guess at the typical age, then that information becomes a statistic.
That’s because you can’t be sure your guess is correct (although it will probably be close!). Statistics vary. You know the average age of your classmates is 25. You might guess that the average age of everyone in your year is 24, 25, or 26. You might think the typical age for other colleges in your area is the same. And you would possibly even guess that’s the specific age for school students within the U.S. These might not be wrong guesses, but they’re statistics because you didn’t ask everyone.
Origin of the word Parameter:
This word found in 1914 in E. Czuber, Wahrscheinlichkeitsrechnung, Vol. I and in in 1922 in Ronald A. Fisher’s, “On the Mathematical Foundations of Theoretical Statistics.” Fisher was an English statistician, biologist and geneticist.
What is a Parameter in Statistics Accuracy:
Accuracy describes how close your statistic is to a specific population parameter. For example, you would possibly be studying weights of pregnant women. If the sample median of your population is 150 pounds and your sample statistic is 149 pounds, then you can make a statement about the accuracy of your sample. Statistics, in general, aren’t as accurate as we’d like, although they are the best tool we have right now for making predictions about populations. According to The Economist, scientific papers aren’t very reliable.
John Ioannidis, a Greek epidemiologist, thinks that as many as 50 per cents of scientific documents turn out to be wrong. Factors that contribute to false results include sample sizes that are too small, poorly designed studied and researcher bias caused by financial interests or personal agendas.
Why are these groups not counted as accurately?
Accessibility: People in rural areas can be hard or impossible to reach by mail. Some locations use “general delivery” addresses rather than fixed addresses. Language barrier and education: People who are learning the English language may have difficulty understanding the census form. People with lower education and literacy may also not understand the importance of responding to the census.
Suspicion of the Government: Some people may think that the census will use against them. Some people don’t want to be in a government database. For example, illegal immigrants, people with warrants out on them, people may be owing debts or child support.
conclusion:
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