A simple random sampling or random sampling is a selection of 𝑛 elements derived from a population 𝑁, which is the subject of the investigation or experiment,
A population refers to the entire group that is under study
or investigation or group
A sample is a subset taken from a population
The normal curve or bell curve is a graph that represents the probability density function of the normal probability distribution.
The normal curve is also called the Gaussian curve, named after the mathematician Carl Friedrich Gauss.
Lottery sampling (Simple random sampling)
A sampling technique where every member of the
population has an equal chance of being selected.
Systematic sampling
A sampling technique in which members of the population are
ordered in some way such as alphabetically or numerically
Cluster sampling
It is sometimes called area sampling, the population is divided into groups or clusters,
Stratified random sampling
A sampling procedure wherein the members of the population are
grouped based on their homogeneity
Multi-stage sampling
It is done using a combination of different sampling techniques.
Nonrandom Sampling Techniques
is used when the sample is not a proportion of the population
Quota sampling
The researcher limits the number of his samples based on the required number of the subject under investigation.
Convenience sampling
The researcher conducts a study at his convenient time, preferred place, or venue.
Purposive sampling
It is used in very small sample sizes.
INFERENTIAL
STATISTICS
It involves making inferences, predictions, or generalizations
ESTIMATION
It is a process whereby we select a random sample from a population
Point Estimates - a single value that best determines the proposed parameter value of the population.
INTERVAL ESTIMATION
• also called a confidence interval
• the interval of values that predicts where the true population parameter belongs