Data definitions Flashcards
Define ‘raw data’
Data just as it is collected, before it is ordered, grouped or rounded
Define ‘quantitative’
Raw data that is numerical observations or measurements
Define ‘qualitative’
Raw data that is non-numerical observations
Define ‘categorical’
Data that can be stored into non-overlapping categories
Define ‘ordinal’
Data that can be written in order or can be given a numerical rating scale
Define ‘discrete’
Data that can only take particular values on a continuous numerical scale - data that can only be certain values
Define ‘continuous’
Data that can take any value on a continuous numerical scale - data that can be any value within a range
Define ‘bivariate’
Data involving pairs of related data, e.g. scatter graph
Define ‘multivariate’
Data involving sets of three or more related data values
Define ‘grouped’
Data that is organised into classes, and has been classified
Define ‘ungrouped’
Raw data that hasn’t been organised into classes, and is just a list of numbers
What are the conditions for ‘binominal distribution’?
- You can only have 2 outcomes: success or failure
- You have to have a fixed number of trials
- You have to have a fixed probability of success (trials are independant)
What is the notation for ‘binominl distribution’?
If an event fits a binominal distribution, we write:
X is described by B(n,p), where ‘n’ is the number of trials, and ‘p’ is the probability of success.
