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Two-Variable Data Analysis

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Two-Variable Data Analysis

Read the table, then use the counts in each row to calculate and compare the statistics. For the mean, divide the row total by the number of task types (5).

Recovery team data

Two teams recorded how many times they carried out five types of kiwi recovery task during a week.

Team

Nest checks

Tracking

Feeding

Habitat care

Health checks

Coastal team

4

6

8

3

2

Forest team

7

4

5

6

5

Calculate and compare

1.For the Coastal team, calculate the total number of tasks, the mode, the range, the mean number per task type, and the median count.
2.For the Forest team, calculate the total number of tasks, the mode, the range, the mean number per task type, and the median count.
3.Which team has the higher mean number of tasks per task type? Include both means in your comparison.
4.What is the mode task for the Coastal team, and what are the two modal tasks for the Forest team?
5.Which team’s task counts have the greater range, and what does that tell you about the spread of its counts?
6.Explain what the median count tells you for each team.
7.Which statement is supported by the table?
  • The two teams completed exactly the same number of tasks.
  • The Coastal team recorded fewer feeding tasks than the Forest team.
  • The Forest team completed more tasks overall than the Coastal team.
  • Every task type has the same count for both teams.
8.How many more tasks did the Forest team record overall than the Coastal team? Show the subtraction you used.
9.A recovery coordinator wants to report one key pattern from these data. What is one useful finding, and which figures support it?

3 printable pages

  • Two-Variable Data Analysis, page 1 of 3: Recovery team data, Calculate and compare

    Page 1

  • Two-Variable Data Analysis, page 2 of 3: 3. Which team has the higher mean number of tasks per task type? Include both means in…

    Page 2

  • Two-Variable Data Analysis, page 3 of 3: 9. A recovery coordinator wants to report one key pattern from these data. What is one…

    Page 3

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