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Q: Why mean are used in statistic to interpret data?

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Chi-square

A graph would be used.

A test statistic is used to test whether a hypothesis that you have about the underlying distribution of your data is correct or not. The test statistic could be the mean, the variance, the maximum or anything else derived from the observed data. When you know the distribution of the test statistic (under the hypothesis that you want to test) you can find out how probable it was that your test statistic had the value it did have. If this probability is very small, then you reject the hypothesis. The test statistic should be chosen so that under one hypothesis it has one outcome and under the is a summary measure based on the data. It could be the mean, the maximum, the variance or any other statistic. You use a test statistic when you are testing between two hypothesis and the test statistic is one You might think of the test statistic as a single number that summarizes the sample data. Some common test statistics are z-score and t-scores.

Statistics have a very crucial role in science. They are commonly used for research and data analysis in various projects in numbers. They can be used to interpret data and make future predictions.

Statistics have a very crucial role in science. They are commonly used for research and data analysis in various projects in numbers. They can be used to interpret data and make future predictions.

The statistical treatment in a thesis is a tool. This tool is used to interpret data in a timely manner.

The median is used when reporting ordinal data.

I'm afraid they don't interpret it at all. They either desperately ignore it and pretend it doesn't exist or they assert that it is wildly flawed and hence cannot mean what it seems to show.

A statistician may have some idea about some statistics in a data set, and there is a need to test whether or not that hypothesis is likely to be true. Data are collected and a test statistic is calculated. The value of this test statistic is used to determine the probability that the hypothesis is true.

Yes.

They help to analyse data samples and therefore compare statistics. Normally all three methods are used as they all contain weaknesses. However the mean is usually the normal statistic used after anomalous results have been removed

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