Non-probability Sampling
The sampling process where the probability
of selection of each sampling unit is unknown. Parameter
Is a value,
which represent population characteristic and usually is unknown (therefore has
to be estimated). e.g. the population mean is a parameter that is often used to
indicate the average value of a population. Population
Is the
set of measurements or counts, which are the subject of an investigation. Primary
Data
Primary data is the raw data collected for a specific objective in
the current study. This can be obtained from observation, experiment, interview,
and etc. Probability Sampling
A technique of drawing a sample
in which each sampling unit has a known, nonzero probability of being included
in the sample. Questionnaire
A pre-formulated written set of
questions for gathering information that tailor to meet the research objectives. Range
The range of a sample (or a data set) is a measure of the spread or the
dispersion of a set observation. It is the difference between the largest and
the smallest observed value of some quantitative characteristic. Sample
Sample is a representative subset of a population. Sampling Error
Any type of bias that is attributable to mistakes when drawing a sample or determining
the sample size. Sampling Frame
Is the list of population elements
or members from which sample is selected. e.g. telephone book. Sampling
Units
Are the target population elements available for selection during
the sampling process. Seasonal Variation
Seasonal Variation/component
is the fluctuations occurring within a specific period of time, e.g. within a
day, a week, a year and so forth. These fluctuations repeat in the following periods
with the same regulatory pattern. Secondary data
Secondary data
is the data that has been published and originally obtained for some other objective.
e.g. data collected from a previous study or government publications. Simple
Linear Regression
Simple linear regression aims to find a linear relationship
between a response variable and a possible predictor variable by the method of
least squares. Statistic
Is a value calculated from a sample.
It is useful in making inferences for an unknown value in the corresponding population.
e.g. the average calculated from the sample is used to give information about
the mean of the population from which the sample was drawn. Statistical
Inference
Statistical Inference makes use of information from a sample
to draw conclusions (inferences) about the population from which the sample was
taken. ^^ up | 
