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Data Visualisation Basics

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Data Visualisation Basics

Use the data provided to make and interpret graphs. Label graphs clearly and use mathematical vocabulary in your written answers.

Create and interpret graphs

1.At a train station, 18 Year 8 students were asked how many pets they have. Make a dot plot of the results. Include a title, labelled axis and key if needed. Data (number of pets): 0, 1, 2, 0, 3, 1, 1, 0, 2, 1, 4, 0, 1, 2, 1, 0, 3, 1
01234
2.Students waiting at the station chose their favourite sport. Make a bar graph from the frequency table. Include a title, labelled axes and an even scale.

Sport

Number of students

Rugby

7

Netball

5

Football

4

Basketball

2

3.Using the pet data in Question 1, which number of pets is the mode?
4.Use the favourite-sport frequency table. Which sport has the highest frequency, and which has the lowest frequency?
5.Select all statements that are accurate descriptions of graphs.
  • A dot plot can show each individual data value.
  • Bars in a bar graph for categories are usually separated by gaps.
  • Every graph axis must start at zero, without exception.
  • Graphs can help reveal patterns in a data set.
6.Describe one pattern in the pet data. Support your observation with a frequency or comparison.

Use and explain statistical vocabulary

7.Match each term to its meaning.
  • Frequency
  • Category
  • Scale
  • Mode
  • Data
  • Axis
  • A group or type used to organise data
  • The value or category that occurs most often
  • A reference line on a graph, usually showing categories or values
  • How many times a value or category occurs
  • Information collected for analysis
  • The labelled intervals used to measure values on an axis
8.Write a three- or four-sentence summary of the favourite-sport data. Use at least three of these terms: frequency, category, mode, compare, data, pattern.
9.Give two reasons why a graph needs clearly labelled axes.

3 printable pages

  • Data Visualisation Basics, page 1 of 3: Create and interpret graphs

    Page 1

  • Data Visualisation Basics, page 2 of 3: Use and explain statistical vocabulary

    Page 2

  • Data Visualisation Basics, page 3 of 3: 8. Write a three- or four-sentence summary of the favourite-sport data. Use at least…

    Page 3

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