The process of checking data carefully for errors is known as:
A) Data reduction
B) Data cleaning
C) Data dredging
D) Data definition
E) Data analysis

Question

Quizplus · Accepted Answer

Data cleaning involves checking data for errors, inconsistencies, and inaccuracies before analysis. Data reduction involves reducing a large dataset to a smaller one, while data dredging involves looking for patterns or relationships in data without a clear hypothesis. Data definition involves defining the variables in a dataset, and data analysis is the process of examining and interpreting data.

The Process of Checking Data Carefully for Errors Is Known