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Good Science Victorian Curriculum Year 7

Digital sample of Matilda's newest publication, Good Science Victorian Curriculum Year, authored by Emma Craven and Aaron Elias. For more information visit www.matildaeducation.com.au or email Katrina Tucker, katrinatucker@matildaed.com.au

Digital sample of Matilda's newest publication, Good Science Victorian Curriculum Year, authored by Emma Craven and Aaron Elias. For more information visit www.matildaeducation.com.au or email Katrina Tucker, katrinatucker@matildaed.com.au

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SCIENCE SKILLS<br />

1.3<br />

COLLECTING<br />

AND USING DATA<br />

KEY TERMS<br />

inference<br />

an educated guess or judgement<br />

based on observations<br />

observation<br />

something you see and know to<br />

be true<br />

prediction<br />

a statement about the future<br />

based on observation and<br />

evidence<br />

primary data<br />

first-hand data, from your own<br />

investigation<br />

qualitative<br />

written descriptions and<br />

observations<br />

quantitative<br />

numerical information and data<br />

secondary data<br />

second-hand data, from<br />

someone else<br />

CALCULATING<br />

THE MEAN<br />

To calculate the mean (also<br />

known as the average) of a<br />

group of numbers, add all the<br />

numbers together and then<br />

divide them by how many<br />

numbers you added together.<br />

For example, to calculate the<br />

average growth of plant 3 in the<br />

investigation about plants and<br />

sunlight (Table 1), you would add<br />

2, 3 and 5, then divide by 3.<br />

The mean would be<br />

(2 + 3 + 5) ÷ 3 = 3.33mm.<br />

1<br />

2<br />

Data is like evidence – you need it to draw your conclusion.<br />

Scientists collect and analyse data to test their hypotheses.<br />

Scientists collect different types of data<br />

One way to describe data is that it can be qualitative or quantitative.<br />

Quantitative data relates to quantities – that is, numbers. Quantitative<br />

data can include the number of something, the volume, the length, time,<br />

or anything that scientists can physically measure or count. Qualitative<br />

data relates to the qualities of something – that is, written descriptions<br />

or observations about data.<br />

Another way to describe data is as primary data or secondary data.<br />

Primary data is first-hand data that you collect yourself through<br />

scientific investigation. Secondary data is second-hand data,<br />

gathered by someone else and given to or accessed by you.<br />

To make sure secondary data is valid and reliable (see lesson 1.4),<br />

you need to check that it comes from a reliable source. It’s also<br />

important to make sure the data is accurate. If it is a survey, was the<br />

sample size large enough or did it only involve a small number of<br />

people? Are the results from just one country or population group?<br />

How are qualitative and quantitative data different?<br />

Data needs to be carefully collected<br />

and recorded<br />

To ensure that their data is valid, scientists record observations and<br />

measurements very carefully. They might do this in a logbook or table<br />

for quantitative data. Qualitative data might be recorded in a journal or<br />

workbook. Sometimes data is visual and can be recorded with a camera.<br />

When taking measurements and recording quantitative data, use<br />

the appropriate units for physical quantities. This table shows some<br />

common metric units for physical quantities.<br />

Physical quantity Measurement and unit Conversion<br />

Length Millimetre (mm) 10 mm = 1 cm<br />

Centimetre (cm)<br />

100 cm = 1 m<br />

Metre (m)<br />

1000 m = 1 km<br />

Kilometre (km)<br />

Mass Milligram (mg) 1000 mg = 1 g<br />

Gram (g)<br />

1000 g = 1 kg<br />

Kilogram (kg)<br />

Volume Millilitre (mL) 1000 mL = 1 L<br />

Litre (L)<br />

Temperature<br />

Celsius (°C)<br />

Why is it important to use the correct units when measuring?<br />

8 GOOD SCIENCE VICTORIAN CURRICULUM 7

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