What is Descriptive Statistics ?

 Descriptive statistics is a branch of statistics that deals with summarizing and describing a dataset using numerical measures and graphical displays. The goal of descriptive statistics is to provide a clear and concise summary of the data that can help analysts understand the data and draw insights from it.

There are two main types of descriptive statistics: measures of central tendency and measures of variability.

Measures of central tendency include the mean, median, and mode. The mean is the sum of all the values in the dataset divided by the number of values. The median is the middle value in the dataset when the values are arranged in order. The mode is the most frequently occurring value in the dataset.

Measures of variability include the range, variance, and standard deviation. The range is the difference between the largest and smallest values in the dataset. The variance is the average of the squared differences between each value and the mean of the dataset. The standard deviation is the square root of the variance and represents how spread out the data is from the mean.

In addition to these measures, graphical displays such as histograms, box plots, and scatterplots can also be used to summarize and visualize the data.

It's important to note that while descriptive statistics can provide useful insights into a dataset, they do not allow for generalization to a larger population or inference about cause and effect relationships. For that, inferential statistics are required.

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