2.1. Data Reduction

Try these first

1. 1.

   What does data reduction aim to achieve?

   Hint

   Think about why we need to make data easier to handle.

2. 2.

   Name one technique used in data reduction.

   Hint

   Consider methods that help make data summaries.

3. 3.

   What is the primary goal of data reduction?

   • To summarize data without losing critical information
   • To increase the dataset size
   • To ignore outliers

   Hint

   Think about what happens when data becomes too large to interpret.

4. 4.

   Is filtering used to improve data quality?

   • True
   • False

   Hint

   Consider what happens to data when we remove unwanted distractions.

5. 5.

   A researcher collects 100 measurements from a sensor. After applying an averaging technique, they found the mean strain to be 50 μstrain. Explain how this mean value could be interpreted in engineering decisions.

   Hint

   Think about how averages give insights into structural integrity.

6. 6.

   Consider a dataset with high variability. Discuss the potential effects of not applying smoothing or filtering before interpreting this data.

   Hint

   Reflect on how clarity can affect decision-making.