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Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.

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Related Questions

What are the catagories of statistics?

Descriptive and inferential


What are the two kinds of statistics?

Descriptive and Inferential Statistics


Types of statistics?

There are two types of statistics. One is called descriptive statistics and the other is inferential statistics. Descriptive statistics is when you use numbers. Inferential statistics is when you draw conclusions or make predictions.


Compare and contrast descriptive statistics and inferential statistics?

Descriptive statistics are meant to describe the situation such as the average or the range. Inferential statistics is used to differentiate between a couple of groups.


Difference of descriptive statistics and inferential statistics?

Descriptive statistics label, name, or give information about a variable. Inferential stats are inferred from a smaller data set to be valid for the whole population.


Descriptive Statistics vs Inferential Statistics?

Descriptive is when a few represent the whole population. Inferential infer the nature of a lager usually infinite set of data that we don't have.


What are the two main categories of statistics?

descriptive and inferential


Can you employ inferential statistics in descriptive research?

Yes.


What are the main branches of statistics?

The two main branches of statistics is Descriptive statistics and inferential statistics.


What are the two major areas of statistics?

The two areas of statistics are descriptive and inferential.


What are the two types of statistics?

two types is: 1. Descriptive statistics. 2. Inferential statistics.


What are the division of statistics?

The division of statistics are generally divided into two groups: inferential and descriptive. Inferential statistics require that a conclusion is drawn from data, based almost solely on human inference. Descriptive statistics are numbers that describe a set of data.

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