Sample Statistic
A sample statistic is a numerical value or measure calculated from a sample, which is a subset of a population
A sample statistic is a numerical value or measure calculated from a sample, which is a subset of a population. It serves as an estimate or summary of a particular characteristic or property of the population. Sample statistics are used in statistics to make inferences or draw conclusions about the entire population based on the information gathered from the sample.
Examples of sample statistics include the sample mean, sample median, sample standard deviation, sample variance, sample proportion, and sample correlation coefficient. These statistics are calculated using the data collected from a sample and provide information about the central tendency, variability, and relationship between variables in the population.
For instance, consider a scenario where a researcher wants to estimate the average height of all adults in a country. It may be impractical or impossible to measure the height of every adult in the population due to time, cost, or other constraints. Instead, the researcher can take a random sample of adults and measure their heights. The sample mean height calculated from the sample would be a sample statistic and provide an estimate for the population mean height.
It is important to note that sample statistics are subject to sampling variation, meaning that different samples drawn from the same population may yield slightly different statistics. This is why it is necessary to consider measures of uncertainty, such as confidence intervals or hypothesis testing, when making inferences based on sample statistics.
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