Data Analysis Skills

Select and use an appropriate number of significant figures in statistical data presentation.
Calculate arithmetic means to ascertain central tendency.
Construct and accurately interpret frequency tables, frequency diagrams, bar charts, and histograms.
Apply the principles of sampling to evaluate real-world scientific data.
Define and calculate the mean, median, and mode for varied datasets.
Use scatter diagrams to identify and analyze correlations between two continuous variables.
Outline the statistical characteristics of normal distributions.
Calculate and interpret the range as an essential measure of statistical dispersion.
Distinguish successfully between qualitative and quantitative data forms.
Distinguish clearly between primary and secondary data sources in research.
Translate psychological research data between graphical and numerical forms.
Plot two variables from experimental data effectively and interpret the resulting graphs.

What you need to know