Data Analysis.
Population- All of the individuals that belong to a group being studied.
Sample- Any group of individuals selected from the population.
Convenience sample- A group of individuals that is chosen because its members are easy to access.
Random sample- A sample of individuals chosen randomly from the whole population as a way of representing the whole population. Stratified samples and systematic samples are types of random samples.
Stratified sample- A sample that is created by dividing the whole population into distinct groups and then choosing the same fraction of members from each group.
Systematic sample- A sample created by choosing individuals at a fixed intervals from an ordered list of the whole population.
Voluntary response sample- A sample where the whole population is invented to participate.
Biased sample- Does not represent the population, and can make survey result inaccurate.
Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.
Sample- Any group of individuals selected from the population.
Convenience sample- A group of individuals that is chosen because its members are easy to access.
Random sample- A sample of individuals chosen randomly from the whole population as a way of representing the whole population. Stratified samples and systematic samples are types of random samples.
Stratified sample- A sample that is created by dividing the whole population into distinct groups and then choosing the same fraction of members from each group.
Systematic sample- A sample created by choosing individuals at a fixed intervals from an ordered list of the whole population.
Voluntary response sample- A sample where the whole population is invented to participate.
Biased sample- Does not represent the population, and can make survey result inaccurate.
Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.