Lesson 5: Using and Manipulating Data

What is data modelling?

• A) Analysing trends
  

• B) Storing data
  

• C) Manually sorting files
  

• D) Printing reports

Which model forecasts sales?

• A) Climate model
  

• B) Profit model
  

• C) Sales model
  

• D) Data entry log

Why use machine learning models?

• A) Predict patterns
  

• B) Delete records
  

• C) Reduce file size
  

• D) Encrypt reports

What limits numerical models?

• A) Computation power
  

• B) Too much storage
  

• C) Fixed file size
  

• D) Always perfect results

What affects model accuracy?

• A) Outdated data
  

• B) Extra files
  

• C) Manual sorting
  

• D) Paper records

Which helps in quick data review?

• A) Manual reports
  

• B) Raw numbers
  

• C) Visual dashboards
  

• D) Paper lists

Why are tables useful?

• A) Organise data
  

• B) Hide trends
  

• C) Slow retrieval
  

• D) Increase errors

Which graph shows proportions?

• A) Line graph
  

• B) Bar chart
  

• C) Pie chart
  

• D) Scatter plot

What misleads data interpretation?

• A) Proper scales
  

• B) Consistent labels
  

• C) Manipulated charts
  

• D) Clear trends

What is a query?

• A) A data request
  

• B) A printed sheet
  

• C) A manual file
  

• D) A lost document