All members of a group that we wish to generalise our findings to. E.g. all students taking Psychology at the University of Glasgow. We draw our testing sample from the population.
Discrete variables that have an inherent order, such as number of legs
A data type representing whole numbers.
Categorical variables that don't have an inherent order, such as types of animal.
The distribution of data where each observation can have one of two outcomes, like success/failure, yes/no or head/tails.
A rating scale with a small number of discrete points in order
A number between 0 and 1 where 0 indicates impossibility of the event and 1 indicates certainty
A distribution where all numbers in the range have an equal probability of being sampled
Data that can take on any values between other existing values.
A way to describe the shape of data
data which comes in the form of a numerical value where the difference between points is standardised and meaningful
Data that can only take certain values, such as integers.
Statistics that allow you to make predictions about or comparisons between data (e.g., t-value, F-value, rho)
An inferential test used to compare observed frequencies with expected frequencies in categorical conditions
Generating data, as opposed to collecting data, from summary parameters such as the mean and standard deviation
data which comes in the form of a numerical value where the difference between points is standardised and meaningful but has a meaningful zero
A subset of the population that you wish to make an inference about through your test.
A symmetric distribution of data where values near the centre are most probable.
The end!