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## What are the disadvantages of inferential statistics?

The first, and most important limitation, which is present in all inferential statistics, is that you are providing data about a population that you have not fully measured, and therefore, cannot ever be completely sure that the values/statistics you calculate are correct.

## What is the difference between descriptive statistics and inferential statistics?

Descriptive statistics summarize the characteristics of a data set. Inferential statistics allow you to test a hypothesis or assess whether your data is generalizable to the broader population.

## What are inferential statistics used for?

Inferential statistics have two main uses: making estimates about populations (for example, the mean SAT score of all 11th graders in the US). testing hypotheses to draw conclusions about populations (for example, the relationship between SAT scores and family income).

## Is t test an inferential statistic?

A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups, which may be related in certain features. The t-test is one of many tests used for the purpose of hypothesis testing in statistics.