Quick revision: every question with its correct answer. For the full explanation, open the test and tap View Solution.
5.1 Data, Classification & Tabulation — Test 1
Q1. The word 'data' is derived from the Latin word:✓ Datum
Q2. Data collected first-hand by the investigator for a specific purpose are called:✓ Primary data
Q3. Data collected and compiled by others (and used by the investigator) are called:✓ Secondary data
Q4. Data that can be measured numerically (e.g. height, weight) are called:✓ Quantitative data
Q5. Data that describe qualities or categories (e.g. eye colour) are called:✓ Qualitative data
Q6. Data that can take only whole-number values (e.g. number of children) are:✓ Discrete data
Q7. Tabulation is the process of arranging data in:✓ Rows and columns
Q8. Classification of data refers to:✓ Arranging data into groups or classes with common characteristics
Q9. A frequency distribution shows:✓ How often each value or class occurs in the data
Q10. In a grouped frequency distribution, a class interval is the:✓ Range of values grouped into one class
Q11. A qualitative characteristic that cannot be measured numerically is called an:✓ Attribute
Q12. A characteristic that can take different numerical values is called a:✓ Variable
Q13. Arranging raw data in ascending or descending order produces an:✓ Array
Q14. In preparing a frequency distribution, tally marks are used to:✓ Count how many values fall in each class
Q15. Data that have not yet been organised or processed are called:✓ Raw data
Q16. Classifying data according to time periods (e.g. years) is called:✓ Chronological (temporal) classification
Q17. The two broad types of data based on source are:✓ Primary and secondary
Q18. Continuous data differ from discrete data in that continuous data:✓ Can take any value within a range
Q19. The main purpose of classification and tabulation is to:✓ Organise data so they can be understood and analysed easily
Q20. Match each term with its meaning and select the correct option.✓ A-ii, B-iv, C-i, D-iii