Data analysis and forecasting

Term

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Definition

ML finds trends in past data to predict future values (sales, weather, demand).

Example: Forecast next month's electricity demand.

Found in: syllabus, sample exam and familiarisation guidelines, school notes.

Where you'll use it in the test

Syllabus area: Y12 Software Automation.

Question types it can appear in

Short answer: Define, outline or explain it and tie it to the scenario.
Extended response: Use it as a supporting point linked to the stimulus.
Multiple choice: Pick the option that matches the definition or example.

Where it has appeared in the paper

Software Automation (Part B). Part letters follow each paper’s own layout.

How to use it

A model sentence

General advice, built from the definition and example above

“ML finds trends in past data to predict future values (sales, weather, demand).” Then apply it: Forecast next month's electricity demand.

In a short answer, give the definition in your own words first, then tie it to the situation in the question. Do not copy the example above unless it fits the scenario.

Command words used with it

From the linked past questions

Describe: Provide characteristics and features. (Sample exam Q15 (3 marks): Machine learning in data analysis)

Official worked answer

Sample exam Q15 (3 marks): Machine learning in data analysis (3 marks): official criteria and sample answer

Criteria

3: Describes how ML algorithms can be used in data analysis. 2: Outlines some features of ML algorithms relevant to data analysis. 1: Some relevant information.

Sample answer

Machine learning algorithms can be trained with a subset of the data to automatically identify patterns and trends within large datasets. The algorithms can handle complex relationships and nonlinearities present in the data allowing for efficient and comprehensive analysis. Machine learning can also be used for predictions and forecasting. These models can learn from new data over time, continuously improving their analysis and predictive accuracy and performance.

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Go deeper

Flashcard: Data analysis and forecasting in Software Automation (Year 12) · study that set
Memorise: Applications of key ML algorithms
Notes: Investigate common applications of key ML algorithms, including data analysis and… (Software Automation (Year 12))
Notes: Applications of key ML algorithms (Software Automation (Year 12))
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Explain “Data analysis and forecasting” in one sentence, give an example, and name a question type that could test it.

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