Interpretation and Display of Quantitative Data (AQA GCSE Psychology)

• A frequency table measures the number of times a behaviour/action/phenomenon occurs, e.g.
• the number of times litter is dropped
• the number of times red is chosen for a T-shirt design
• the number of goals scored by players in one season
• To organise and make sense of frequency data a researcher will arrange it into a frequency table:

• The frequency table above reveals that the mode for goals scored is 4 as this happened 20 times in one season 
• The median score is 5 as this sits in the middle of the ordered data set i.e. frequency of 8 
• The mean score is calculated as follows:
• Multiply each score by its frequency e.g. 1 x 1, 2 x 3 etc.
• Add the total of these scores, in this case, it is 1 + 6 + 33 + 80 + 40 = 160
• Divide this score by the total number of goals in the first column (10) to find the mean, in this case it is 10.6
• The range is calculated by subtracting the lowest score from the highest score, in this case, it is 5 - 1 = 4

• On a histogram the x-axis (the horizontal line of the graph) represents the categories that have been measured, so in the frequency table above that would be the number of goals scored 
• On a histogram the y-axis (the vertical line of the graph) represents the frequencies of each category occurring so in the frequency table above that would be the frequency of the number of goals scored 
• Histograms do not have gaps between the bars (as opposed to bar charts which do have gaps between the bars as they compare categories of data)

• Another type of frequency display can be achieved using a bar chart
• The data shown on the x-axis of a bar chart is discrete (not continuous)
• A bar chart deals with categorical data which does not necessarily fall in any particular order
  • If a researcher had conducted an experiment with 3 conditions they could use a bar graph to display the means of each condition
• Bar charts do have gaps between each category on the x-axis, unlike histograms which do not

• Scattergrams are used to display the results of correlations
• A scattergram shows the point at which two separate pieces of data meet
• Each co-variable can be presented along the x-axis or the y-axis i.e. a strong positive correlation will be shown regardless of which axis is chosen per co-variable
• The arrangement of points on the scattergram will indicate whether there is a positive correlation, a negative correlation or no correlation

Scatter graphs showing different types of correlation