Difference Between Descriptive and Inferential Statistics |Business Statistics | BBA | BBA-BI
Reference Notes of Management

Difference Between Descriptive and Inferential Statistics: Statistics is the art of collecting, analyzing, presenting, and interpreting data.

Statistics is sub-divided into two categories:

  1. Descriptive Statistics
  2. 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.nDescriptive StatisticsInferential 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 error-free results as it deals with the small population.Inferential Statistics may not produce error-free 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:

  •  Information in newspapers, magazines, company reports, etc.
  •  Frequency of the variables.
  •  The population of the particular country.
Examples:

  •  Grades or percentile of the scores.
  • The average score in cricket.
  • Prediction about cancer by the doctor.

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