Genmath

• statistics - the numbers that summarize data from a sample
• sample - a subset of individuals or objects selected to represent the population
• population - all members of a group being studied
• census - complete count of every member of a population
• Probability- the likelihood of an event occurring.
• sample size- the number of element in the sample
• Sampling- the process of selecting a subset of the population to be studied.
• parameters - the numbers that summarize data for entire population
• random sampling- the process of selecting a sample
• probability sampling- subjects of population get an equal opportunity to be selected as representative sample
• sampling frame- a list of all the people who are eligible to take part in a survey
• Non Probability sampling- sampling technique that is not known which individual from the population will be selected as a sample
• simple random sampling - a sampling technique that is process is done by choosing the members of the sample one by one using either the lottery methods or the tables or random numbers
• stratified random sampling- sampling techinique that involves the division of a population into smaller groups
• systematic random sampling- every nth element of population in the sample with the selected random starting point from the "q" members
• Multi stage sampling- population is divided into multi clusters and then these clusters are further divided and grouped into various subgroups based on similarity
• cluster random sampling- total population is divided into groups or clusters and a simple random sample of the groups is selected
• Purposive sampling- non probability techniques that is done with the purpose in mind
• Quota sampling- non probability techniques that the research starts by identifying quotas which are predefined control categories such as age, gender, education, or religion
• convenience sampling- non probability sampling techniques that is sometimes known as grab or opportunity sampling or accidental sampling