presenting data

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Last updated 6:03 PM on 3/30/26
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9 Terms

1
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what different ways can data be presented

table

bar chart

histogram

scattergram

line graph

2
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when should a table be used

to record raw data

3
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when should bar chart be used

discrete/ categorical data - bars do not touch

(first bar doesn’t touch y axis)

4
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how to draw bar chart 6/6 marks

labelled x axis IV variable - both conditions e.g. caffeine no caffeine

labelled y axis DV variable - operationalised e.g. score on questionnaire

title underlined

bars not touching

first bar doesn’t touch y axis

5
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when should a histogram be used

continuous data - no gaps the bars touch

(first bar touches y axis)

6
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when should line graph be used

continuous data - of there are 2 data sets

7
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when should scattergram be used

correlational data - to find relationship between covariables

8
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what 3 types of correlation can be displayed

positive - as one increases the other increases

negative - as one increases the other decreases

zero - no relationship

9
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how to interpret data

  1. make a claim

  2. use data from graph or table to justify claim

e.g:

1. new treatment is more effective

2. mean score increased/ greater

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