Although the difference between, say, 20°C and 30°C is 10°C, it means that 30°C is one and a half times as warm.

Virtually any business and management research you undertake is likely to contain data that has or could be quantified.

Inter-rater reliability can be assessed by measuring the extent to which two or more coders (raters) disagree.

Discrete data are those whose values can theoretically take any value provided that you can measure them accurately enough.

Furnace temperature, is considered to be continuous data.

When preparing data for quantitative analysis you need to be unclear about numeric codes used to classify data to ensure they will enable your research questions to be answered.

The main goal of this course is to provide an in-depth discussion of the wide range of graphical and statistical techniques available.

Before we begin to analyse data quantitatively, we need to ensure that our data can be transformed into quantitative data.

The main goal of this course is not to cover more complex statistical modelling.

Some statistical analysis software has a code that is used by default.