The document defines data as facts and measurements that can be numbers, words, or descriptions. It explains that there are two types of data: qualitative data, which is descriptive information, and quantitative data, which is numerical. Quantitative data can be discrete, taking certain values like whole numbers, or continuous, taking any value within a range. The document provides examples of qualitative data like descriptions of appearance and energy level, and quantitative data like weights, heights, and numbers of legs or brothers.

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3.  Data is a collection of facts, such as values or
measurements.
 It can be numbers, words, measurements,
observations or even just descriptions of
things.
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 There are two type of data
1- Qualitative (Quality)
2- Quantitative (Quantity)

5. Data can be qualitative or quantitative.
 Qualitative data is descriptive information
(it describes something)
 Quantitative data, is numerical information
(numbers).
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6.  Discrete data can only take
certain values
(like whole numbers)
 Continuous data can take
any value (within a range)
Discrete data is counted,
Continuous data is measured
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7. Qualitative:
 He is brown and black
 He has long hair
 He has lots of energy
Quantitative:
 Discrete:
 He has 4 legs
 He has 2 brothers
 Continuous:
 He weight 400 pounds
 He is 3.5foot tall
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8.  What is data?
 Data types.
 Qualitative data.
 Quantitate data.
 Discrete data.
 Continue data.
 Example of qualitative and quantitative data.
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Inam Ur Rehman (Student)
GTTC Kot Radha Kishan