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Grade 12 Science: Data Types

Explore fundamental data types relevant to scientific and engineering practices, including their characteristics, applications, and appropriate usage in data collection and analysis.

Grade 12 Science Engineering & Science PracticesData Types
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Includes

Multiple ChoiceFill in the BlanksTrue / FalseShort AnswerMatching

Standards

HS-ETS1-2

Topics

HSS-IC.B.6data typesscienceengineeringdata analysisvariables
7 sections · Free to use · Printable
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Grade 12 Science: Data Types

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Read each question carefully and provide your best answer based on your understanding of data types in scientific and engineering contexts.

1. Which of the following data types is best suited for representing the number of bacteria colonies on a petri dish?

a

Categorical

b

Ordinal

c

Discrete Quantitative

d

Continuous Quantitative

2. In an experiment measuring the growth rate of plants, which data type would be most appropriate for recording the height of each plant in centimeters?

a

Nominal

b

Ordinal

c

Discrete Quantitative

d

Continuous Quantitative

3. Data that can be placed into categories but does not have a natural ordering is known as   data.

4. When measuring the temperature of a solution, the resulting data is typically  , as it can take any value within a given range.

5. The number of trials successfully completed in an engineering test is an example of   data.

6. Ordinal data can be used to perform meaningful arithmetic operations such as addition and subtraction.

T

True

F

False

7. Categorical data is always qualitative.

T

True

F

False

8. Explain the key difference between discrete and continuous quantitative data, providing a scientific example for each.

Match each data type with its appropriate description.

9. Nominal Data

 

a. Data with ordered categories, but unequal intervals

10. Ordinal Data

 

b. Data that can be counted and has a finite number of values

11. Discrete Data

 

c. Data that can be measured and has an infinite number of values within a range

12. Continuous Data

 

d. Data used for labeling variables, without any quantitative value or order