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Population
The whole set of items that are of interest
Census
Observes or measures every member of a population
Sample
Selection of observations taken from a subset of the population
Sampling unit
An individual item of a population
Sampling frame
A unique numbering or naming of sampling units to form a list
Simple random sample
Random sampling technique in which every member of the population has an equal chance of being selected
Systematic sampling
Random sampling technique in which elements are chosen at regular intervals from an ordered list
Stratified sampling
Random sampling technique in which the population is divided into mutually exclusive strata (classifications) and a random sample is chosen from each, maintaining the population's proportions lying within each strata
Quota sampling
Non-random sampling technique in which a sample is chosen by the researcher to represent the characteristics of the whole population
Opportunity (convenience) sampling
Non-random sampling technique in which elements are selected based on availability at the time of sampling, chosen to fit required criteria.
Quantitative data
Data associated with numerical observations
Qualitative data
Data associated with non-numerical observations
Continuous variable
A variable that can take any value in a given range
Discrete variable
A variable that can take only specific values in a given range
Classes
Groups in a grouped frequency table
Frequency polygon
The region formed by joining the middle of the top of each bar in a histogram
Bivariate data
Data which has pairs of values for two variables
Correlation
The nature of the linear relationship between two variables
Sample space
The set of all possible outcomes
Probability distribution
A full description of the probabilities of any outcome in the sample space
Conditional probability
When the known occurrence of one event effects the probability of subsequent events.
Explanatory (independent) variable
This variable could be controlled by the researcher, and would usually be plotted on the x axis of a scatter graph
Extrapolation
Making a prediction based on a value outside the range of the given data
Interpolation
Making a prediction for the dependent variable within the range of the given data set
Regression line
A straight line, expressed in the form y = a + bx , calculated to minimise the sum of the squares of the residuals
Linear interpolation
The method of approximating percentile or quartile frequencies within grouped data, assuming data is evenly distributed within each group.
Mutually exclusive
When events have no outcomes in common such that they cannot both occur at the same time.
Outlier
An extreme value lying outside the overall pattern of the data (usually identified from a given rule based on quartiles or standard deviations from the mean)
Parameter
A defining statistical characteristic of the population distribution
Response (dependent) variable
This variable is observed/ measured by the researcher and is usually plotted on the y axis of a scatter graph (and is represented by y in a regression equation)
Skewness
a non-symmetrical distribution, mostly commonly cited as evidence for the unsuitability of a normal model.
Standard error
The standard deviation of sample means, for samples of a given size, selected from a normal distribution
Statistically independent events
When the occurrence of one event does not effect another.
Uniform distribution
Where the probability is the same for each outcome