Resources by R. Mackrory - ÷ÈÓ°Ö±²¥ Thu, 04 Jul 2024 23:52:31 +0000 en-US hourly 1 Are you getting enough zzz? /resource/are-you-getting-enough-zzz/ Sun, 20 Feb 2011 23:39:44 +0000 http://new.censusatschool.org.nz/?post_type=resource&p=214 Compare the number of hours students who own cell phone sleep to the number of hours students who don’t own cell phones sleep and also with the number of hours students who sent more than 50 text messages slept.

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This activity investigates the amount of sleep New Zealand students get each night. The number of hours slept by students who own cell phones may be compared with the number of hours slept by students without cell phones. This allows the teacher to lead the students through and model an analysis and conclusion. The students may then compare the number of hours slept by students who send more than 50 text messages sleep to the other two data sets.

Resources:

Achievement Objectives

  • Level 4
    • S4-1Plan and conduct investigations using the statistical enquiry cycle
      • B gathering, sorting, and displaying multivariate category, measurement, and time-series data to detect patterns, variations, relationships, and trends
      • D communicating findings, using appropriate displays
  • Level 5
    • S5-1Plan and conduct surveys and experiments using the statistical enquiry cycle
      • A determining appropriate variables and measures
      • D using multiple displays, and re-categorising data to find patterns, variations, relationships, and trends in multivariate data sets
      • E comparing sample distributions visually, using measures of centre, spread, and proportion
  • Level 6
    • S6-1Plan and conduct investigations using the statistical enquiry cycle
      • E justifying findings, using displays and measures

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Scatter it /resource/scatter-it/ Mon, 14 Feb 2011 00:25:47 +0000 http://new.censusatschool.org.nz/?post_type=resource&p=174 How does height of students change with age? What is the height of ten year old?
What is the height of a fourteen year old? A preliminary investigation exploring bivariate data.

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How does height of students change with age? What is the height of ten year old? What is the height of a fourteen year old?  Students are presented with a table of data from 12 students consisting of age (yrs) and height (cm).

This activity explores the following key ideas:

  • Reading bivariate data from a table
  • Plotting co-ordinates on a pre-generated plot area
  • Commenting on the relationship between the variables
  • Understanding the idea of variables

Resources:

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Masterpiece 3 /resource/masterpiece-3/ Sun, 13 Feb 2011 23:29:51 +0000 http://new.censusatschool.org.nz/?post_type=resource&p=130 Are you a masterpiece? An indepth investigation using CensusAtSchool and student's own data to explore Leonardo da Vinci's theory that a person's height is equal to their armspan.
Students are encouraged to explore areas of variability.

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Leonardo da Vinci (1452-1519) was a scientist and an artist. He thought that the span of someone’s arms was equal to their height.  Why do you think he was interested in working out body proportions?  Do you think Leonardo’s theories still work today?  Was Leonardo’s theory that a person’s height is equal to their arm span true for New Zealand students?

Students investigate whether a person’s armspan is equal to their height using their own measurements or CensusAtSchool data.

This activity explores the following key ideas:

  • Carrying out a statistical investigation following the PPDAC cycle
  • Posing a statistical question
  • Describing the data set in terms of shape, spread and middle range
  • Finding a relationship between variables
  • Supporting claims with evidence

They are also encouraged to consider the reasons for variabilility in the data.

Resources:

Achievement Objectives

  • Level 5
    • S5-1Plan and conduct surveys and experiments using the statistical enquiry cycle
      • A determining appropriate variables and measures
      • B considering sources of variation
      • C gathering and cleaning data
      • D using multiple displays, and re-categorising data to find patterns, variations, relationships, and trends in multivariate data sets
      • E comparing sample distributions visually, using measures of centre, spread, and proportion
  • Level 6
    • S6-1Plan and conduct investigations using the statistical enquiry cycle
      • D making informal inferences about populations from sample data

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Masterpiece 1 /resource/masterpiece-1/ Sun, 06 Feb 2011 10:46:13 +0000 http://new.censusatschool.org.nz/?post_type=resource&p=33 Was Leonardo da Vinci’s theory that a person’s height is equal to their arm span true for New Zealand students in 2007?

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Leonardo da Vinci (1452-1519) was a scientist and an artist. He thought that the span of someone’s arms was equal to their height.  Why do you think he was interested in working out body proportions?
Do you think Leonardo’s theories still work today?
Was Leonardo’s theory that a person’s height is equal to their arm span true for New Zealand students?
Students conduct a Statistical Investigation using the PPDAC cycle to see if their height is equal to their armspan.

After this lesson students will know:

  • how the statistical investigation process works
  • that accurate measurement is important
  • that the way in which data is collected can affect the results

Resources:

  • Graph paper or access to computer or calculator
  • Ruler and string or a tape measure

Achievement Objectives

  • Level 3
    • S3-1Conduct investigations using the statistical enquiry cycle
      • A gathering, sorting, and displaying multivariate category and whole-number data and simple time-series data to answer questions
      • B identifying patterns and trends in context, within and between data sets
      • C communicating findings, using data displays
  • Level 5
    • S5.1B Considering sources of variation

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The case of the missing cake /resource/the-case-of-the-missing-cake/ Sat, 14 Jun 2008 00:37:43 +0000 http://new.censusatschool.org.nz/?post_type=resource&p=182 Solve the mystery of the missing cake. Can we use foot length to predict the height of a suspect?

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It was Sam’s birthday so his grandmother baked him a cake to share with his classmates at lunchtime. Everyone was excited. All morning the children could smell the delicious chocolate cake. It made it very difficult to concentrate. Hohepa asked if they could have lunch early. Ling was caught ‘sniffing’ the cake. Ms Royal, the teacher decided everyone should go outside for a run before lunch. When they got back the cake was gone. All that was left were a few crumbs and a muddy footprint.

What can we find out about the cake thief to help narrow the search?

Using 25 students from CensusAtSchool data, students will attempt to solve the mystery of who stole the chocolate cake.
This activity explores the following ideas:

  • Using a scatterplot to describe the relationship between two variables
  • Using a scatterplot for bivariate data
  • Using a scatterplot to make a prediction

Resources:

Achievement Objectives

  • Level 4
    • S4-1Plan and conduct investigations using the statistical enquiry cycle
      • B gathering, sorting, and displaying multivariate category, measurement, and time-series data to detect patterns, variations, relationships, and trends
      • C comparing distributions visually

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Masterpiece 2 /resource/masterpiece-2/ Fri, 06 Jun 2008 22:47:11 +0000 http://new.censusatschool.org.nz/?post_type=resource&p=35 Is Leonardo’s theory that a person’s height is equal to their arm span true for New Zealand students in 2007?

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Students use the PPDAC cycle to investigate whether a person’s armspan is equal to their height using their own measurements or CensusAtSchool data.
This activity explores the following key ideas:

  • Carrying out a statistical investigation following the full PPDAC cycle
  • Posing a statistical question
  • Describing the data set in terms of shape, spread and middle range
  • Finding a relationship between variables
  • Comparing subsets of data
  • Supporting claims with evidence

They are also encouraged to consider the reasons for variability in the data.

Resources:

Achievement Objectives

  • Level 4
    • S4-1 Plan and conduct investigations using the statistical enquiry cycle
      • B gathering, sorting, and displaying multivariate category, measurement, and time-series data to detect patterns, variations, relationships, and trends
      • C comparing distributions visually
  • Level 5
    • S5-1 Plan and conduct surveys and experiments using the statistical enquiry cycle
      • B considering sources of variation
      • C gathering and cleaning data
      • D using multiple displays, and re-categorising data to find patterns, variations, relationships, and trends in multivariate data sets
      • E comparing sample distributions visually, using measures of centre, spread, and proportion
  • Level 6
    • S6-1 Plan and conduct investigations using the statistical enquiry cycle
      • D making informal inferences about populations from sample data

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