Branch of statistics that describes our data by summarizing it and providing us with visible features that it contains.

Question: Branch of statistics that describes our data by summarizing it and providing us with visible features that it contains.

The branch of statistics that describes our data by summarizing it and providing us with visible features that it contains is called descriptive statistics. It is used to summarize and describe the characteristics of a data set.

Descriptive statistics consists of three basic categories of measures:

• Measures of central tendency: These measures describe the center of the data set. The most common measures of central tendency are the mean, median, and mode.
• Measures of variability: These measures describe the dispersion of the data set. The most common measures of variability are the variance and standard deviation.
• Frequency distributions: These measures describe the occurrence of data within the data set. They can be presented in the form of tables, graphs, or charts.

Descriptive statistics can be used to answer a variety of questions about a data set, such as:

• What is the average value of the data?
• What is the range of the data?
• How spread out is the data?
• Are there any outliers in the data?
• Are there any patterns or trends in the data?

Descriptive statistics is an essential tool for understanding and interpreting data. It is used in a wide variety of fields, including business, science, engineering, and medicine.

Here is an example of how descriptive statistics can be used to describe a data set:

Suppose we have a data set of the heights of 100 students. We could use descriptive statistics to calculate the average height, the median height, the mode height, the variance, and the standard deviation of the data set. We could also create a frequency distribution to show how many students are in each height range.

This information would give us a good understanding of the characteristics of the data set. For example, we could see if the average height is typical of students in general, or if it is unusually high or low. We could also see if the data is spread out evenly, or if there are a lot of students who are very tall or very short.

Descriptive statistics is a powerful tool for understanding and interpreting data. It is used in a wide variety of fields, and it is an essential skill for anyone who works with data.

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