DA0-002 · Question #36
A data analyst needs to create a report that anticipates the number of calls received daily. Which of the following is the best statistical method to use?
The correct answer is A. Predictive. When the goal is to anticipate or forecast future events, such as the number of calls received daily, predictive analytics is the most appropriate statistical method. Predictive analytics uses historical data to make predictions about future outcomes.
Question
A data analyst needs to create a report that anticipates the number of calls received daily. Which of the following is the best statistical method to use?
Options
- APredictive
- BDiagnostic
- CInferential
- DDescriptive
How the community answered
(50 responses)- A72% (36)
- B16% (8)
- C8% (4)
- D4% (2)
Why each option
When the goal is to anticipate or forecast future events, such as the number of calls received daily, predictive analytics is the most appropriate statistical method. Predictive analytics uses historical data to make predictions about future outcomes.
Predictive analytics focuses on forecasting future probabilities and trends using historical data and statistical modeling. Anticipating the number of calls daily directly aligns with the goal of predictive analytics, which employs techniques like regression, time series analysis, and machine learning to make informed predictions.
Diagnostic analytics focuses on understanding why something happened by drilling down into data to identify root causes.
Inferential statistics involves drawing conclusions and making generalizations about a population based on a sample, rather than directly predicting future individual events.
Descriptive analytics summarizes and describes past and present data to understand what happened, without making future predictions.
Concept tested: Types of data analytics - predictive
Source: https://learn.microsoft.com/en-us/azure/architecture/data-guide/big-data/big-data-analytics
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