graphs and tables

• tables 


  ables clearly present data and show patterns. Raw data tables contain information/scores directly collected from participants before it is analysed. Raw data can then be summarised in smaller tables which show descriptive statistics such as mean, median, and mode. Tables can also be used to summarise descriptive statistics
• frequency tables 


  • how often a particular event occurs using a tally.
• contingency table 


  • the sum of all value in each row and/or column.
• bar chart 


  • A graph that shows the data in the form of categories (e.g. behaviours observed, so non-continuous data) that the researcher wishes to compare. The bars should not touch or else it is a histogram not a bar chart.
• histogram


  • A graph that is used for continuous data (e.g. test scores). There should be no space between the bars, because the data is continuous. Each column shows a class interval (i.e: people aged 1-16 years).
• line graph 


  • A graph used for continuous data, and can be used to compare two or more different sets of continuous data.
• scatter graphs 


  • these are used for correlations (see correlations)
• how to draw graph 


  When drawing a graph remember to include:

  • A title that includes the IV and DV (i.e: a graph to show the relationship between ...etc). If you have already been given the hypothesis then use it in your title.
  • A suitable scale (not huge or tiny given the amount/type of data)
  • Correctly labelled axis
  • Correctly plotted data