In applied statistics, the types of statistics can be divided into two areas: descriptive statistics and inferential statistics.

What is Descriptive Statistics?

For example, let’s say you’re collecting information about the number of students who graduated from high school in the United States before the age of 18. You will end up with a lot of dates.

Just having such a large and disorganized amount of data is insignificant unless you can draw conclusions from it or make important decisions.

The best way to create something useful and manageable with the data is to create tables, charts, or graphs that summarize the data.

Once you have those tables, graphs or charts that describe With the data, it will be much easier to draw conclusions.

You can even use the data to find key metrics for the central trend, such as: B. the average, the mode or the median. That is what descriptive statistics are all about.

Summary and definition of descriptive statistics

Descriptive statistics consist of methods used to organize and display data using tables, graphs, or measurements.

What is inferential statistics?

For example, let’s say you want to find out the salaries of people who are 45 years or older and live in the United States. You can do this by selecting people from all 50 states who are 45 years or older and determining their salaries.

The information is of course summarized with a diagram or table.

Now, if you are under 45 and curious about your future salary, you can analyze the graph and draw a conclusion or make an educated guess.

The graph may show you what your salary might look like when you are 45 years old.

Summary and definition of the inferential statistics

Inferential statistics consist of using the collected data to speculate about the future. Inferential statistics can also be referred to as inductive statistics.



Types of statistics quizzes help you get familiar with the following words or phrases.

Inferential statistics

Descriptive statistics

Inference


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