Difference Between Descriptive and Inferential Statistics
➦ Difference Between Descriptive and Inferential Statistics: Statistics is the art of collecting, analyzing, presenting, and interpreting data. Statistics is sub-divided into two categories:
- Descriptive Statistics
- Inferential Statistics
Descriptive Statistics
➦ Descriptive statistics serves as a method for succinctly presenting and summarizing data sets.
➦ It functions as a tool to organize and articulate numerical information meaningfully. Consider a scenario where numerical values, such as test scores, are involved.
➦ Descriptive statistics facilitates the representation of these figures through measures such as the mean, median, and mode, offering insights into the central tendencies within the data.
➦ Furthermore, it encompasses measures of variability, including range and standard deviation, elucidating the dispersion of the data.
➦ In essence, descriptive statistics provides a comprehensive portrayal of the data, enhancing our capacity to comprehend and interpret its characteristics.
Inferential Statistics
➦ Inferential statistics addresses scenarios wherein acquiring information about an entire population is unfeasible, necessitating the extraction of insights from a representative sample.
➦ This branch of statistics allows for the formulation of predictions or inferences about a population based on a subset of data.
➦ Analogous to selecting and analyzing a sample of marbles from a larger collection, inferential statistics enables reasoned conclusions about the broader population.
➦ Techniques such as hypothesis testing, confidence intervals, and regression analysis are integral components of inferential statistics.
➦ In summary, inferential statistics facilitates informed conjectures about a larger group without the impracticality of scrutinizing each individual element.
Difference Between Descriptive and Inferential Statistics
| Descriptive Statistics | Inferential Statistics |
| 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. |
| Descriptive Statistics only describes certain characteristics of the data. | Inferential Statistics deeply analyzes statistical data and observations. |
| 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. |
| Descriptive Statistics can be measured either numerically (mean, median, mode) or graphically. | Inferential Statistics cannot be always measured in exact numbers. |
| 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. |
| 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. |
Examples:
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Examples:
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ReferencesÂ
- Simplilearn. Descriptive vs. Inferential Statistics: Key Differences and Measurement Techniques. Simplilearn.com. https://www.simplilearn.com/difference-between-descriptive-inferential-statistics-article#
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I am Smirti Bam, an enthusiastic edu blogger with a passion for sharing insights into the dynamic world of business and management through this website.
I hold a MBA degree from Presidential Business School, Kathmandu, and a BBA degree with a specialization in Finance from Apex College,
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