Practice Key Terms (4.7) - Acquiring Data, Processing, and Interpreting Data

Practise this section

9 questions

Flashcard drill
4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What is raw data?
Show hintHide hint
Think about what information might look like before it's analyzed.
Question 2.
Why is data cleaning important?
Show hintHide hint
Consider what happens if we analyze flawed data.
3Question 3.
What does raw data refer to?
- Processed information
- Unprocessed information
- Analyzed information
Show hintHide hint
Reflect on the quality of data being used.
4Question 4.
Is data cleaning necessary for reliable analytics?
- True
- False
Show hintHide hint
Ask yourself what clean data enables you to achieve.
Question 5.
Explain a real-world scenario where poor data cleaning might lead to significant consequences. What could have been done differently?
Show hintHide hint
Think about industries where accuracy is paramount.
Question 6.
Create a visual representation of a dataset and identify the trends or patterns that emerge. How would you interpret these findings?
Show hintHide hint
Consider how visuals can simplify complex datasets.

5 more questions in this section. Enroll free to practise them all.