presentation and display of quantitative data

• -          Tables should have clear headings – for clear understanding and each column should be appropriately ladled and is also standard practice to summaries what the table shows underneath
• -          Tables – don’t include all participants raw scores instead they include descriptive statistics – like measures of central tendency and dispersion or percentages
• -          In a scattergram the variable you think is predicting the other goes along the bottom = x axis
• -          Scattergrams – used for plotting correlations which show clear visual images of what correlation ahs been found and identifies whether there is a relationship between two variables and what direction it is in and show any anomalies meaning unusual scores
• -          Histograms are sued with ordinal or interval data  and makes use of raw scores not central tendency
• -          In a histogram and bar chart variables measured are along the bottom and frequency on the side
• -          Histograms – connected bar charts – which show the distribution of scores that are measured along a continuous scale and give impressions of how often certain measures occur
• -          Bar charts – used with nominal data / ordinal or interval data turned into nominal data