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1. Data collection considerations - Correct Answer: 1. Select the right data
type
2. Determine the time frame for data collection
3. How the data will be collected
4. How much data to collect
5. Choose data sources
6. Decide what data to use
2. Population - Correct Answer: All possible data values in a certain dataset
3. Sample - Correct Answer: A part of the population that is representative of
the population
4. First-party data - Correct Answer: Data collected by an individual or group
using their own resources
,5. Second-party data - Correct Answer: Data collected by a group directly from
its audience and then sold
6. Third-party data - Correct Answer: Data collected from outside sources who
did not collect it directly
7. Internal data (Primary data) - Correct Answer: Collected by a researcher
from first-hand sources
8. External data (Secondary data) - Correct Answer: Gathered by other people
or from other research
9. Quantitative data - Correct Answer: Can be measured and counted using
numbers (quantity, amount, range)
10. Qualitative data - Correct Answer: Cannot be counted, measured or easily
expressed in numbers (names, categories, descriptions)
11. Discrete data - Correct Answer: Data that is counted and has a limited
number of values
12. Continuous data - Correct Answer: Data that is measured and can have any
numeric value
, 13. Nominal data - Correct Answer: A type of qualitative data that is
categorized without a set order
14. Ordinal data - Correct Answer: A type of qualitative data with a set order
or scale
15. Structured data - Correct Answer: Data organized in a certain format such
as rows and columns
16. Unstructured data - Correct Answer: Data that is not organized in an easily
identifiable manner
17. Data model - Correct Answer: A model that is used for organizing data
elements and how they relate to one another
18. Data elements - Correct Answer: Pieces of information, such as people's
names, account numbers, and addresses
19. Data modeling - Correct Answer: The process of creating diagrams that
visually represent how data is organized and structured
20. Levels of data modeling - Correct Answer: 1. Conceptual modeling 2.
Logical data modeling 3. Physical data modeling