# Statistical Data Analysis MCQs Questions and Answers PDF Book Download

Statistical data analysis multiple choice questions (MCQs), statistical data analysis quiz answers to learn business analytics courses online. Introduction to statistics MCQs, statistical data analysis quiz questions and answers for business administration. Learn data types in stats, statistical techniques, statistical analysis methods, statistical data analysis test prep for business analyst certifications.

Learn introduction to statistics test MCQs: branch of statistics which deals with development of particular statistical methods is classified as, with choices industry statistics, economic statistics, applied statistics, and mathematical statistics for business administration. Practice assessment test for scholarships, online learning statistical data analysis quiz questions for competitive assessment in business majors for business administration certifications.

## MCQ on Statistical Data AnalysisQuiz Book Download

MCQ: Branch of statistics which deals with development of particular statistical methods is classified as

- industry statistics
- economic statistics
- applied statistics
- mathematical statistics

D

MCQ: Tools such decision making by nominal groups, brain storming and term buildings are all considered as

- serial tools
- behavioral tools
- statistical tools
- parallel tools

B

MCQ: Model which consists of management philosophy, behavioral tools and statistical methods as key steps towards improvement is considered as

- serial improvement process model
- behavioral improvement process model
- quality improvement process model
- statistics improvement process model

C

MCQ: Branch of statistics which deals with findings of solution in field of medicine, education and economics is classified as

- economic statistics
- applied statistics
- mathematical statistics
- industry statistics

B

MCQ: Analysis based on study of price fluctuations, production of commodities and deposits in banks is classified as

- sample series analysis
- time series analysis
- numerical analysis
- experimental analysis

B