Which of the following best describes the difference between parameters and statistics?
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Video Answer: Get the answer to your homework problem. Try Numerade free for 7 days DiscussionYou must be signed in to discuss. Video TranscriptHi. I'm David. And I'm here to have your answering your question. Now let me bring up your question here in the question we're going to discuss about the relationship between the parameter and the statistics. Let me tell you an example here suppose that we have the X one X two up to the X. N. There I I. D. Followed by the binomial with the end is fixed as a fixed to 10 the B. I don't know. And then I want to estimate want to estimate be some be he'll become the perimeter. So we do you estimate it to be? We used the that for the X one X two X. And that would be the time we observed from the real life. And then we try to estimate the big and this data here we can find from some formula from the X one up to X. N. And there will be called the statistics. Therefore we're going to use the statistics to estimate the parameter. And in this question here we would choose the correct option. Uh statistics is you to estimate the parameter. So this will be the correct one. So the 2nd 1 perimeter has a similar distribution. The perimeter normally will have something similar this patient but it will be sometime we don't know. And then the only one should be better described will be the first part here. Mm hmm. Before you start, you may want to read these overviews: A statistic and a
parameter are very similar. They are both descriptions of groups, like “50% of dog owners prefer X Brand dog food.” The difference between a statistic and a parameter is that statistics describe a sample. A parameter describes an entire population. Watch the video or read the steps
below:
How to tell the difference between a statistic vs parameter For example, you randomly poll voters in an election. You find that 55% of the population plans to vote for candidate A. That is a statistic. Why? You only asked a sample—a small percentage— of the population who they are voting for. You calculated what the population was likely to do based on the sample. Censuses result in a parameter about the population. You could ask a class of third graders who likes vanilla ice cream. 90% raise their hands. You have a parameter: 90% of that class likes vanilla ice cream. You know this because you asked everyone in the class. Steps to tell the difference between a statistic and a parameter:Step 1: Ask yourself, is this a fact about the whole population? Sometimes that’s easy to figure out. For example, with small populations, you usually have a parameter because the groups are small enough to measure: Examples of parameters:
Step 2: Ask yourself, is this obviously a fact about a very large population? If it is, you have a statistic. Examples of statistics:
If in doubt, think about the time and cost involved in surveying an entire population. If you can’t imagine anyone wanting to spend the time or the money to survey a large number (or impossible number) in a certain group, then you almost certainly are looking at a statistic.
ReferencesDodge, Y. (2008). The Concise Encyclopedia of Statistics. Springer. ---------------------------------------------------------------------------
Need help with a homework or test question? With Chegg Study, you can get step-by-step solutions to your questions from an expert in the field. Your first 30 minutes with a Chegg tutor is free! Comments? Need to post a correction? Please Contact Us. What is the difference between parameter and statistic quizlet?What is the difference between a parameter and a statistic? A parameter is a numerical measurement describing data from a population. A statistic is a numerical measurement describing data from a sample.
What is the difference between parameters and statistics give an example?Parameters are numbers that describe the properties of entire populations. Statistics are numbers that describe the properties of samples. For example, the average income for the United States is a population parameter. Conversely, the average income for a sample drawn from the U.S. is a sample statistic.
Which of the following statements best describes the relationship between a parameter and statistic?A parameter has a sampling distribution with the statistic as its mean.
What do parameters and statistics describe?Parametric statistics is a branch of statistics which assumes that sample data comes from a population that can be adequately modeled by a probability distribution that has a fixed set of parameters.
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