TAILIEUCHUNG - Lecture Statistical techniques in business and economics - Chapter 8: Sampling methods and central limit theorem

Chapter 8 provides knowledge of sampling methods and central limit theorem. When you have completed this chapter, you will be able to: Explain under what conditions sampling is the proper way to learn something about a population, describe methods for selecting a sample, define and construct a sampling distribution of the sample mean,. | l Chapter 8 p g n i m a S Methods & Central Limit Theorem When you have completed this chapter, you will be able to: Chapter Goals Describe methods for selecting a sample. Define and construct a sampling distribution of the sample mean. 1. 2. 3. Explain under what conditions sampling is the proper way to learn something about a population. Explain the central limit theorem. 4. Use the central limit theorem to find probabilities of selecting possible sample means from a specified population. 5. We use sample information to make decisions or inferences about the population. Two KEY steps: Sampling Choice of a proper method for selecting sample data & 2. Proper analysis of the sample data (more later) KEY 1. Sampling Sampling KEY 1. If the proper method for selecting the sample is NOT MADE the SAMPLE will not be truly representative of the TOTAL Population! and wrong conclusions can be drawn! of the physical impossibility of checking all items in the population, and, also, it would

• Kinh tế học
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• Sampling methods
• Central limit theorem
• Statistical inference
• Independent samples
• Statistical process control
• Quality management
• Random observation
• Confidence intervals
• Point estimator
• Confidence interval
• Hypothesis testing
• Alternative hypothesis
• Analysis of variance
• F distribution
• Linear regression
• Coefficient of correlation
• Multiple regression
• Multiple regression analysis
• Chi square applications
• Test of hypothesis
• Analysis of ranked data
• Kruskal Wallis test
• Index numbers
• Consumer price index
• Time series
• Linear trend equation
• Decision making
• Organize information
• The role of statistics
• Qualitative variable
• Describing data
• Frequency distribution
• Central tendency
• Standard deviation
• Ungrouped data
• Probability concepts
• Random experiment
• Discrete probability distributions
• Continuous random variables
• Decision theory
• Decision alternative
• Inferential statistics
• Frequency tables
• Numerical measures