Difference Between Descriptive and Inferential Statistics Business Statistics  BBA  BBABI
Reference Notes of Management
Difference Between Descriptive and Inferential Statistics: Statistics is the art of collecting, analyzing, presenting, and interpreting data.
Statistics is subdivided into two categories:
 Descriptive Statistics
 Inferential Statistics
Descriptive Statistics gives description or we can say it focuses on the collection, presentation, and characterization of a sample. Inferential Statistics helps to predict and estimate the possible characteristics of the population from the sample data drawn from the population.
Difference Between Descriptive and Inferential Statistics
S.n  Descriptive Statistics  Inferential Statistics 
1.  Descriptive Statistics gives description or we can say it focuses on the collection, presentation, and characterization about a sample.  Inferential Statistics helps to predict and estimate the possible characteristics of the population from the sample data drawn from the population. 
2.  Descriptive Statistics only describes certain characteristics of the data.  Inferential Statistics deeply analyzes statistical data and observations. 
3.  Descriptive Statistics helps in dealing with the central tendency and spread of the frequency distribution.  Inferential Statistics helps in studying details about the hypothesis test and confidence level. 
4.  Descriptive Statistics can be measured either numerically (mean, median, mode) or graphically.  Inferential Statistics cannot be always measured in exact numbers. 
5.  Descriptive Statistics helps to produce errorfree results as it deals with the small population.  Inferential Statistics may not produce errorfree results as it takes the whole population for drawing conclusion. 
6.  Drawing conclusions in descriptive statistics is limited within the given data i.e. we cannot make conclusions beyond the given data.  Drawing conclusions in Inferential statistics is unlimited i.e. the educated predictions and guesses can be made on the basis of the parameters of the given population. 
7.  Examples:
 Examples:

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