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Detailed explanation-1: -Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data.
Detailed explanation-2: -They include both numerical (e.g. central tendency measures such as mean, mode, median or measures of variability) and graphical tools (e.g. histogram, box plot, scatter plot…) which give a summary of the dataset and extract important information such as central tendencies and variability.
Detailed explanation-3: -Descriptive statistics is a means of describing features of a data set by generating summaries about data samples. It’s often depicted as a summary of data shown that explains the contents of data.
Detailed explanation-4: -By definition, the summary statistics sum up the features of a data sample. They describe the values and provide related measurements. These work as a basis for understanding the values recorded during a study. Descriptive statistics can show where the mean of a set of values lies.