Data interpretation
- 1. Data Interpretation Nimisha Nandan Ph.D Scholar Central University of Kerala
- 2. Data Interpretation Understanding ,organising, and drawing appropriate solutions from he given data
- 3. Numerical data can be presented in one or more of he following was • Line chart • Venn diagram • Bar chart • Pie chart • Tabular graph • Caselets
- 4. Sample Size The number of individual samples measured or observations used in a survey or experiment.
- 6. Probability Sampling A probability sampling method is any method of sampling that utilizes some form of random selection. The key benefit of probability sampling methods is that the sample chosen is representative of the population.
- 7. Simple random sampling A simple random sample is meant to be an unbiased representation of a group.
- 8. Systematic sampling Systematic sampling is a type of probability sampling method in which sample members from a larger population are selected according to a random starting point but with a fixed, periodic interval.
- 9. Stratified Sampling Stratified sampling is a type of sampling method in which the total population is divided into smaller groups or strata to complete the sampling process. The strata is formed based on some common characteristics in the population data.
- 10. Cluster Sampling Cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population.
- 11. Non probability sampling Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected.
- 12. Convenience sampling Convenience sampling is a type of non- probability sampling that involves the sample being drawn from that part of the population that is close to hand.
- 13. Judgemental sampling Judgment sample, or Expert sample, is a type of random sample that is selected based on the opinion of an expert.
- 14. Quota sampling Quota sampling is a method for selecting survey participants that is a non-probabilistic version of stratified sampling.
- 15. Snowball sampling is where research participants recruit other participants for a test or study.
- 16. Sampling Error Error in a statistical analysis arising from the unrepresentativeness of the sample taken.