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Types of Data

Data can be discrete, continuous, or qualitative.

Example 1

Example 1

  • A farmer is weighing each of his cows. The cows weigh 89.6kg, 107.8kg, 120.25kg, 98.2kg, and 130.1kg. What type of data is this?
    • This data is continuous
    • The definition for continuous data is that it is measurable and can be any value in a given range
Example 2

Example 2

  • A group of students is asked about their favourite colour. Some of their answers were: "Orange", "Green", "Red" and "Yellow". What type of data is this?
    • This data is qualitative
    • If a piece of data is not numerical, i.e: words, opinions, visual, or audio, it is classified as qualitative
Example 3

Example 3

  • A breakdown service is recording information on the number of seats in each car. Some results were: 2, 3, 4, 4, and 6. What type of data is this?
    • This data is discrete
    • The definition for discrete data is that it is countable and is typically whole numbers; other examples include the number of people in a room, or the results from a dice roll.
Jump to other topics
1

Number

1.1

Place Value & Ordering

1.2

Numerical Operations

1.3

Fractions

1.4

Numerical Operations (Fractions)

1.5

Roots & Powers

1.6

Structure of Calculations

1.7

Numerical Skills

1.8

Factors & Multiples

1.9

Systematic Listing

1.10

Standard Form

1.11

Fractions, Decimals & Percentages

1.12

Percentage Change

1.13

Rounding & Estimation

1.14

Bounds & Accuracy

2

Algebra

2.1

Algebraic Notation

2.2

Substitution & Simplification

2.3

Brackets

2.4

Algebraic Fractions

2.5

Rearranging

2.6

Functions

2.7

Solving Linear Equations

2.8

Inequalities

2.9

Simultaneous Equations

2.10

Sequences

2.11

Coordinates

2.12

Linear Graphs

2.13

Quadratic Graphs

3

Ratio, Proportion & Rates of Change

4

Geometry & Measures

5

Probability

6

Statistics

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