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Baby business

The purpose of this activity is for students to make predictions about the future weight and height of a baby based on statistical data.

Four children are playing with two large dice.

Tags

  • AudienceKaiako
  • Curriculum Level5
  • Learning AreaMathematics and Statistics
  • Resource LanguageEnglish
  • Resource typeActivity

About this resource

This activity assumes the students have experience in the following areas:

  • Solving problems with percentages as proportions.
  • Extending patterns involving two variables and finding rules for the relationship.
  • Interpreting scatterplots.

The problem is sufficiently open-ended to allow the students freedom of choice in their approach. It may be scaffolded with guidance that leads to a solution, and/or the students might be given the opportunity to solve the problem independently.

The example responses at the end of the resource give an indication of the kind of response to expect from students who approach the problem in particular ways.

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    Baby business

    Achievement objectives

    S5-2: Evaluate statistical investigations or probability activities undertaken by others, including data collection methods, choice of measures, and validity of findings.

    Required materials

    See Materials that come with this resource to download:

    • Baby business activity (.pdf)

    Activity

    • If a baby has a weight of 4.5 kilograms and a length of 57 centimetres at six weeks old, what is their expected weight and height at age 5?
    A mother tenderly placing her nose against her newborn child.

    What is the predicted height of the baby when he or she is an adult?

    You will need access to growth charts such as those at Health New Zealand Te Whatu Ora: Growth Charts

    The following prompts illustrate how this activity can be structured around the phases of the statistical enquiry cycle.

    Problem

    The problem section is about what data to collect, who to collect it from, and why it’s important.

    • What is the investigation question? 
    • Is my question a summary, comparison, or relationship question? (The question involves relationships between age and the variables of height and weight.)
    • Why is my question important? 
    • Are all the words (terms) in my question clear to someone else? If not, have I explained or defined those words? (Prediction and expected values might need explanation. Percentiles are used in the charts.)
    • What variables will be involved? (A variable is both a characteristic and a way to measure that characteristic.) (In this investigation, the variables are age, measured in months and years; weight, measured in kilograms; and height, measured in centimetres.)

    Plan

    The planning section is about how students will gather the data.

    • How will I go about answering this question? (Students need to recognise that the two relationships need to be investigated separately.)
    • What will I need to know? (The given weight and length will need to be compared with norms for other babies of the same age. From those norms, predictions can be made using percentiles.)
    • Can I predict possible answers to my question even before I look at the data? 
    • What might my answer look like? (The answer will be a prediction about the weight and age of the child at 5 years and in adulthood.)

    Data

    The data section is concerned with how the data is managed and organised.

    • How will I interpret the weight and length I am given using the growth charts?
    • How certain will I be about my predictions?
    • What factors might influence the growth of the child as it ages?

    Analysis

    The analysis section is about exploring the data and reasoning with it.

    • Have I reflected back on my question so I am clear on what I am trying to find out?
    • What tools will help me to display the data in different ways? What ways are appropriate to my data and help answer my question? Can I use the charts to explain my predictions?
    • What variation is likely from my predictions? How might I allow for that variation?
    • Can I make preliminary statements about my findings, starting with “I noticed that ...”
    • Am I developing ideas about what the answer to my question might be?

    Conclusion

    The conclusion section is about answering the question in the problem section and providing reasons based on their analysis.

    • Have I answered my original question? If not, why not?
    • How might I convince someone else that I have answered the question?
    • Do my displays best show what I have found out?
    • Is my summary of findings clearly written so others can understand it?
    • What other things have I learnt and what further questions do I have?

    Examples of work

     | 

    The student uses a deterministic approach to predict the height and weight of the baby.

    At a procedural level, students need to interpret the data presented in the growth charts. This is evidenced by correctly marking the position of the given weight and length on the charts. The horizontal scale varies between charts; on the weight chart, the axis is marked in weeks and months. On the length chart, the axis is labelled in months and years. Students should also make some statements about the meaning of percentiles.

    A growth chart indicating a baby is on the 25th percentile for weight.

    The baby is on the 25th percentile for weight. 75 percent of babies are heavier than it.

    A growth chart indicating a baby is on the 50th percentile for height. The baby is placed at the middle height for babies at one and a half months old.

    The baby is on the 50th percentile for height. So, it is the middle height for babies at 1 and a half months old.

    Predictions for weight and height by these students are unlikely to acknowledge any variation from the percentiles at 6 weeks of age.

    A growth chart showing that at the 25th percentile 17 kilograms is the average weight for boys at age 5.

    The 25th percentile for weight is 17 kilograms at 5 years old.

    A growth chart showing that 110 cm is the height for the 50th percentile, giving an adult height of 179 cm.

    110 cm is the height for the 50th percentile. That gives an adult height of 179 cm.

    The baby is on the 25th percentile for weight. 75 percent of babies are heavier than it.

    The student acknowledges potential sources of variation in making predictions for the weight and height of the baby.

    Students who understand that extrapolation from given data is prone to variability are likely to identify sources of variation. The first of those sources is gender.

    If the baby is a girl, then they are in the 50th percentile for weight and the 75th percentile for height. If they are boys, then they are in the 25th percentile for weight and the 50th percentile for height.

    My predictions are:

     

    Weight at 5

    Height a 5

    Adult

    Girl

    18.3 kg

    112.5 cm

    167 cm

    Boy

    17.1 kg

    110 cm

    179 cm


    I took the baby's height at two years, for a boy, and 18 months for a girl. Using the charts I got 81.5 cm for a girl and 87 cm for a boy. I double those to get 163 cm for a girl and 174 cm for a boy.

    Students might also read about projections of weight and height. The baby growth rates are based on breastfed babies and subsequent good nutrition. Students may note that the accuracy of the prediction depends on the baby being well-fed, not falling ill, and not having a genetic or hormone-related condition. Students might also look up other ways to predict babies’ heights, which also acknowledge variation.

    I don’t think you can make an accurate prediction. So, I would give the parents a range. I would say 16–20 kg and 109–113 cm at 5 years. The adult height could be anywhere between 165-180 cm.

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