NZ Level 4
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Statistical Attributes
Lesson

An attribute is defined as a specific characteristic or feature of a given subject. When we talk about statistical attributes, we mean the specific topic or subject that we want to investigate. If we can clearly identify the statistical attributes in a research project, it helps us generate clear research questions so we can make useful conclusions.

Let's look at some examples and practice identifying statistical attributes.

Worked Examples

Question 1

What statistical attributes would need to be considered if you were trying to investigate how many pets your classmates own?

  1. The number of pets they own

    A

    How much their pets weigh.

    B

    The type of pets they own

    C

    The number of pets they own

    A

    How much their pets weigh.

    B

    The type of pets they own

    C

QUESTION 2

What statistical attributes could be being shown in the graph to the right?

  1. Number of children who travel to school and their mode of transport

    A

    How many people prefer each mode of transport

    B

    Number of teachers who travel to school and their mode of transport

    C

    Number of children who travel to school and their mode of transport

    A

    How many people prefer each mode of transport

    B

    Number of teachers who travel to school and their mode of transport

    C

QUESTION 3

What statistical attribute is being compared in the bar graph?

Preferred SportSportNumber of boys510boxingtennisfootballbaseballbasketball

  1. Preferred sport

    A

    The number of hours of sport played

    B

    Number of boys

    C

    Preferred sport

    A

    The number of hours of sport played

    B

    Number of boys

    C

 

Outcomes

S4-1

Plan and conduct investigations using the statistical enquiry cycle:– determining appropriate variables and data collection methods;– gathering, sorting, and displaying multivariate category, measurement, and time-series data to detect patterns, variations, relationships, and trends;– comparing distributions visually;– communicating findings, using appropriate displays.

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