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Arrange the steps of processing of data in sequence: A. Coding B. Editing C. Calculating percentages D. Classification E. Tabulati
Question



Arrange the steps of processing of data in sequence:
A. Coding
B. Editing
C. Calculating percentages
D. Classification
E. Tabulation
Choose the correct answer from the options given below:

A.

A, C, B, E, D

B.

B, A, D, E, C

C.

C, A, E, B, D

D.

D, A, E, B, C

Correct option is B


The correct sequence of steps in the data processing process is as follows:
1. Editing (B): This is the first step where data is reviewed and corrected for errors or inconsistencies. It ensures that the data is accurate, complete, and consistent before moving on to the next steps.
2. Coding (A): After editing, the data is coded, which means converting the raw data into numerical or symbolic formats for easier analysis.
3. Classification (D): Classification involves organizing the data into categories or groups based on similarities to make it easier to analyze and interpret.
4. Tabulation (E): Tabulation involves arranging the classified data in tables for further analysis, making it easier to see patterns, relationships, and comparisons.
5. Calculating Percentages (C): Once the data is organized and tabulated, percentages or other statistical measures can be calculated to derive meaningful insights.
Information Booster:
· Editing (B): This step is critical as it ensures that the data is clean and ready for analysis. It typically involves checking for outliers, missing values, or any discrepancies in the data collected.
· Coding (A): Coding is the process of assigning numerical values or categories to data points, which simplifies data entry and analysis.
· Classification (D): Data classification helps organize the data into meaningful categories or groups, which helps in comparing and analyzing data.
· Tabulation (E): This step involves arranging the classified data in tables, rows, and columns to facilitate easier reading and further analysis.
· Calculating Percentages (C): After tabulating the data, calculating percentages or other statistical measures allows for interpretation and comparison across groups.

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