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.
- 21. • Don’t use your prior knowledge while solving answers. • Avoid regressive reading. • mock tests
- 22. Comprehension • Read the questions first ,not the passage • Avoid Regressive reading, Read slowly and carefully • Look for keywords and write the word in your rough paper • Focus on emphasising words like only, each, in particular, in fact, specifically • After reading the questions, Start reading the passage • Read he passage with special focus on the lines containing keywords • Solve direct questions • And then go for the indirect questions • Do not use your prior knowledge to solve the answer.
- 23. Comprehension can be • Vocabulary based questions: Asking synonym and antonym of a word used in he passage • Passage based questions • Complete package based questions :Asking for the theme, summary, conclusion, inference and objective or suggesting a new title for the passage