In statistical terms a random sample is a set of items that have been drawn from a population in such a way that each time an item was selected, every item ...

If the probability of getting our sample results from a fair coin (for example) is very low, we feel confident in rejecting the null hypothesis (that the coin is fair). Even though we can't say for sure (because even a fair coin could produce our sample results), we can say that the results of our sample provide strong evidence against the null hypothesis , and we conclude that the coin is biased.

An unbiased (representative) sample is a set of objects chosen from a complete sample using a selection process that does not depend on the properties of the objects. [4] For example, an unbiased sample of Australian men taller than 2m might consist of a randomly sampled subset of 1% of Australian males taller than 2m. But one chosen from the electoral register might not be unbiased since, for example, males aged under 18 will not be on the electoral register. In an astronomical context, an unbiased sample might consist of that fraction of a complete sample for which data are available, provided the data availability is not biased by individual source properties.

Using one-sample T-test (for small sample) I will try to analyze data written above and either prove that weight written on the package differs from the real one or get specific evidence that it is practically the same.

## Sample of statistical treatment in thesis

Using one-sample T-test (for small sample) I will try to analyze data written above and either prove that weight written on the package differs from the real one or get specific evidence that it is practically the same.