TAILIEUCHUNG - Lectures Applied statistics for business: Chapter 1 - ThS. Nguyễn Tiến Dũng

Lectures "Applied statistics for business - Chapter 1: Data and statistics" provides students with the knowledge: Applications in business and economics, data, data sources, descriptive Statistics, statistical Inference, computer and statistical analysis, data mining, ethical guidelines for statistical practice. Invite you to refer to the disclosures. | Chapter 1 DATA AND STATISTICS MBA Nguyen Tien Dung School of Economics and Management Website https site nguyentiendungbkhn Email Main Contents Applications in Business and Economics Data Data Sources Descriptive Statistics Statistical Inference Computer and Statistical Analysis Data Mining Ethical Guidelines for Statistical Practice Nguyễn Tiến Dũng Applied Statistics for Business 2 V 1 1 Applications in Business and Economics Statistics is essential for all other sciences Statistics about data All sciences need to get to analyse and to present data and results For a business R D Research Development Marketing Production Quality Human Resources Accounting Finance Information For economics Policies for developing cities districts provinces and nations. Nguyễn Tiến Dũng Applied Statistics for Business

• Toán học
• Applied statistics for business
• Data and statistics
• Data sources
• descriptive Statistics
• statistical Inference
• computer and statistical analysis
• Discrete Probability Distributions
• Sampling and Sampling Distributions
• Hypothesis Tests
• Applied statistics
• Data collection
• Describing data visually
• Sampling distributions
• Tabular and graphical presentations
• Summarising data for a categorical variable
• Data visualisation
• Summarising data for two variables using tables
• Numerical measures
• Measures of location
• Measures of variability
• Measures of distribution shape
• Relative location
• Introduction to probability
• Counting rules and assigning probabilities
• Events and their probabilities
• Some basic relationships of probability
• Conditional probability
• Random variables
• Developing discrete probability distributions
• Expected value and variance financial portfolios
• Binomial probability distribution
• Two Sample hypothesis tests
• Simple regression
• Multiple regression
• Time series analysis
• Nonparametric tests
• Quality management
• Journal of Computer Science and Cybernetics
• Statistical implication rules
• Collaborative filtering recommender system
• Statistical implicative analysis
• The accuracy of recommender systems
• Bioinformatic Analysis
• Prediction
• Experimental Detection
• Functional Motifs
• Intrinsically Unfolded Proteins
• Relaxed Linear
• Reinventing Computer Networking
• The Second Internet
• Software Performance
• Operating Committee
• Statistical Analysis