TAILIEUCHUNG - Lecture Statistical techniques in business and economics: Chapter 8 - Lind, Marchal, Wathen

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,. | Sampling Methods and the Central Limit Theorem Chapter 8 GOALS Explain why a sample is the only feasible way to learn about a population. Describe methods to select a sample. Define and construct a sampling distribution of the sample mean. Explain the central limit theorem. Use the central limit theorem to find probabilities of selecting possible sample means from a specified population. Probability Sampling Why Sample the Population? To contact the whole population would be time consuming. The cost of studying all the items in a population may be prohibitive. The physical impossibility of checking all items in the population. The destructive nature of some tests. The sample results are adequate. What is a Probability Sample? A probability sample is a sample selected such that each item or person in the population being studied has a known likelihood of being included in the sample. Four Most Commonly Used Probability Sampling Methods Simple Random Sample Systematic Random .

• Kinh tế học
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• The role of statistics
• Qualitative variable
• Statistical inference
• Independent samples
• Statistical process control
• Quality management
• Random observation
• Sampling methods
• Central limit theorem
• 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
• 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