2 Broad Study in Statistics
Descriptive (mô tả) : provides simple summaries about the data collected & about the preliminary observations that have beed made. Such summaries maybe either quantitative (numerical measures) or visual (e.g. simple-to-understand graphs) e.g. Present a summary report of this year business result to management
Inferential (suy luận) : are systems of procedures that can be used to draw conclusions from datasets arising from systems affected by random variation. The type of inferential statistical procedure used depends upon the type of data collected as well as the distribution of the data. The procedures are usually used to test hypotheses and establish probability. e.g. Estimate the IQ score of Kaplan students by observing a small group of students
Population : e.g. A population is a collection of all individuals, objects, or measurement of interest
Sample : e.g. A sample is a portion or part of the population of interst

MCQ 1. The process of using sample statistics to draw conclusions about true population parameters is called
Statistical inference.
Keywords: inferential statistics 2. Those methods involving the collection, presentation, and characterization of a set of data in order to properly describe the various features of that set of data are called
Descriptive statistics. 3. The collection characteristics of the employees of a particular firm is an example of
Descriptive statistics. 4. The estimation of the population average family expenditure on food based on the sample average expenditure of 1,000 families is an example of
Inferential statistics. 5. The universe or "totality of items or things" under consideration is called
A population. 6. The portion of the universe that has been selected for analysis is called
A sample. 7. A summary measure that is computed to describe a