Question

In order to have a strong and thorough analysis, a data analyst must verify ___.

Answer 1

A data analyst must verify the accuracy of the data, gather relevant data to test predictions, and analyze and interpret the data using statistics.

Step-by-step explanation:

In order to have a strong and thorough analysis, a data analyst must verify the accuracy of the data, gather relevant data to test predictions, and analyze and interpret the data using statistics.

Verifying the accuracy of the data is crucial to ensure the reliability of the analysis. This can be done by using tools to make the measurement more precise and by debunking any falseness in the data.

Gathering relevant data to test predictions involves in-depth interviews, focus groups, analysis of content sources, and using empirical evidence. Thorough testing requires replication to verify results.

Once the data is collected, it needs to be analyzed and interpreted using statistics. This will help make sense of the raw data and determine whether they support a hypothesis or not.

In summary, a data analyst must verify the accuracy of the data, gather relevant data to test predictions, and analyze and interpret the data using statistics.

Answer 2

In order to have a strong and thorough analysis, a data analyst must verify data accuracy.

What should the data analyst verify?

The accuracy of the data is crucial for reliable analysis. Data analysts should verify that the data is free from errors, inconsistencies, and missing values. This may involve data cleaning and imputation techniques.

Incomplete data can lead to misleading conclusions. Data analysts should ensure that the data is complete and encompasses all relevant information for the analysis. This may involve data collection or data enrichment strategies.

Data analysts should verify that the data is consistent across different sources and time periods. This may involve data harmonization and standardization techniques.