1. Types of data Flashcards
Identify the two types of data
Nominal data
Numerical data
Nominal data
Give examples
A case falls into one of two or more categories
Categorical/ qualitative variables
E.g. eye colour, nationality, marital status
Numerical data
Give examples
A case is assigned to a numerical value
Score/ quantitative variables
E.g. age, height, IQ, temperature
State the scales of measurement
Nominal categorisation
Ordinal categorisation
Interval categorisation
Ratio categorisation
Nominal categorisation
Placing cases into named categories
E.g. high jumpers categorised by nationality
Ordinal categorisation
Cases ranked based on their order on a given variable
E.g. high jumpers ranked 1st, 2nd, 3rd…
Interval categorisation
Where the distance between sequential points on a scale are equal
Can have negative values, go below zero
E.g. temperature
Ratio categorisation
Distance between point on a scale are equal, but with an absolute zero
Cannot achieve less than zero
Zero has a meaning
E.g. height jumped successfully - can’t jump less than zero
What are the functions of statistical techniques?
To describe, make inferences, or reduce data
Identify three statistical techniques
Descriptive statistics
Inferential statistics
Data reduction techniques
Descriptive statistics
Used to describe info collected
Inferential statistics
The confidence with which we can generalise data from our sample to target population
Data reduction techniques
Allows researcher to make sense of large amounts of data through using more advanced stats
Simplifies the data
Notation
X -> one variable
X , Y -> two variables
N -> num of scores in distribution
Σx -> sum of scores
M -> mean of scores
Central tendency
Mean
Median
Mode