Descriptive statistics are used for

  • Types of descriptive statistics

    Descriptive statistics are applied to populations, and the properties of populations, like the mean or standard deviation, are called parameters as they represent the whole population (i.e., everybody you are interested in)..

  • What is the purpose of a descriptive analysis?

    Descriptive analysis is one of the most crucial phases of statistical data analysis.
    It provides you with a conclusion about the distribution of your data and aids in detecting errors and outliers.
    It lets you spot patterns between variables, preparing you for future statistical analysis..

What does statistics mean?

Statistics is the science of collecting data and analyzing them to infer proportions (sample) that are representative of the population

In other words, statistics is interpreting data in order to make predictions for the population

There are two branches of statistics

Descriptive statistics are used to summarise and describe a variable or variables for a sample of data (as opposed to drawing conclusions about any larger population from which the sample was drawn- this is covered in the Inferential statistics page).

Descriptive statistics, in short, help describe and understand the features of a specific data set by giving short summaries about the sample and measures of the data. The most recognized types of descriptive statistics are measures of center: the mean, median, and mode, which are used at almost all levels of math and statistics.

Descriptive statistics use summary statistics, graphs, and tables to describe a data set. This is useful for helping us gain a quick and easy understanding of a data set without pouring over all of the individual data values. Inferential statistics use samples to draw inferences about larger populations.

Descriptive statistics are used to summarize complex quantitative data.

When a sample consists of more than one variable, descriptive statistics may be used to describe the relationship between pairs of variables. In this case, descriptive statistics include:


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