What is statistical data? Functions, Methods, and Types
What is statistical data? Functions, Methods, and Types
Statistics is the science which deals with collecting, classifying, presenting, comparing, and interpreting data collected from any sphere of inquiry.
What are the four main functions of statistics?
The four main functions of statistics are
- Collection of data
What are the different methods of collection of data?
There are seven different methods of collection of data
Logistic Regression R- Tutorial » Detailed Overview »
- Direct personal inquiry
- Indirect oral Investigation
- By filling of schedules
- By mailed questionnaires
- Information from local agents
- By old records
- By direct observational methods
2. Presentation of data
Presentation of data indicating organization of data into tables and visualizations, so statistical conclusions can be derived from the collected data.
3. Analysis of data
Based on statistical data analysis, you can forecast and anticipate future aspects from the existing data.
By understanding, available information and utilizing it properly may lead to adequate decision-making.
4. Interpretation of data
Since only a small portion of data are investigating almost all the studies because of some practical constraints since results can depict some kind of uncertainties.
In statistics, two kinds of statistical data one are primary data and the second one is secondary data.
Sentiment analysis in R » Complete Tutorial »
Primary Data
Primary data are mainly collected from the units or individuals directly and these data have never been used for any other purposes earlier.
Secondary Data
The data had been collected by some individual or agency and statistically treated to draw certain conclusions.
Again the same data are used and analyzed to extract some other information, it’s called secondary data.
In statistics, for getting reliable data four requisites are there,
The requisites of reliable data are
- Data should be complete
- Data should be consistent
- Data should be accurate
- Data should be homogenous in respect of a unit of information
Conclusion
The statistics convert meaningless numbers into valuable information and thereby giving life to lifeless data.
apply family in r apply(), lapply(), sapply(), mapply() and tapply() »
