The Basics Of Statistics: Analyzing And Interpreting Data For Informed Conclusions

statistics uses methods that generalize results obtained from a sample to the population and measure the reliability of the results.

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True. Statistics is all about analyzing and interpreting data from a sample in order to make inferences about a population. In other words, statistics is a way of making sense of the data we have and using that information to draw conclusions about a larger group.

To do this, statisticians use a variety of methods to estimate population parameters (like the mean or standard deviation) based on the data we have from a sample. These methods are built on the assumption that the sample is representative of the population we are interested in, and that the data we collected is accurate and reliable.

To measure the reliability of the results, statisticians use statistical tests and confidence intervals. These tell us how likely we are to have obtained a particular result by chance, and give us a sense of how much confidence we can have in our conclusions. In general, the larger the sample size and the smaller the variation in the data, the more accurate and reliable our results will be.

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