TAILIEUCHUNG - Lecture Basic statistics for business and economics - Chapter 8: Sampling methods and the central limit theorem

Chapter 8 - Sampling methods and the central limit theorem. When you have completed this chapter, you will be able to: Explain why a sample is often the only feasible way to learn something about a population, describe methods to select a sample, define sampling error, describe the sampling distribution of the sample mean,. | Sampling Methods and the Central Limit Theorem Chapter 08 McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. LEARNING OBJECTIVES LO 8-1 Explain why a sample is often the only feasible way to learn something about a population. LO 8-2 Describe methods to select a sample. LO 8-3 Define sampling error. LO 8-4 Describe the sampling distribution of the sample mean. LO 8-5 Explain the central limit theorem. LO 8-6 Define the standard error of the mean. LO 8-7 Apply the central limit theorem to find probabilities of selecting possible sample means from a specified population. 8- In this chapter we explain the importance of using a sample to learn about a population. We will describe the proper methods of selecting a sample, define and construct a sampling distribution of the sample mean, explain the central limit theorem, and use the central limit theorem to find probabilities of selecting possible sample means from a specified population. 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. LO 8-1 Explain why a sample is often the only feasible way to learn something about a population 8- Probability Sampling and Sampling Methods 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 Sampling Stratified Random Sampling Cluster Sampling LO 8-2 Describe methods to select a sample 8- Simple Random Sample and Systematic Random Sampling Simple Random Sample: A sample selected so that each item or person in the population has the same chance of .

• Kinh tế học
• Basic statistics
• Statistics for business
• Describing data
• Sampling methods
• Central limit theorem
• Probability sampling
• Types of statistics
• Quantitative variables
• Ordinal level data
• Lecture Basic Statistics
• Bài giảng Thống kê cơ bản
• Introduction to Statistics
• Real limits
• Measuring variables
• Correlational studies
• Basic statistics for business
• Basic statistics for economics
• Graphic presentation
• Probability concepts
• Continuous probability distributions
• The central limit theorem
• Confidence intervals
• Two sample tests of hypothesis
• Linear regression
• Multiple regression
• Frequency tables
• Frequency distributions
• Numerical measures
• Sample mean
• Measures of dispersion
• Exploring data
• Dot plot
• Coefficient of skewness
• Joint probability
• Contingency table
• Discrete probability distributions
• Probability distribution
• Continuous random variable
• Uniform distribution
• Normal probability distribution
• Point estimate
• Confidence interval
• One sample tests
• Hypothesis testing
• Test statistic
• Equal variances
• Two sample tests
• Analysis of variance
• Dependent variable
• Independent variable
• Multiple regression analysis
• Multiple linear regression
• Multiple determination
• Nonparametric methods
• Goodness of fit tests
• Contingency table analysis
• Basic business statistics
• Visualizing data
• Basic probability
• The normal distribution
• Other continuous distributions
• Statistical techniques
• Study statistics
• Inferential statistics
• The essentials of statistics
• Basic descriptive statistics
• Ratios and rates
• Central tendency
• The normal curve
• Financial risk management
• Statistics mathematics
• Risk management
• Financial risk
• Financial mathematics
• Some basic math
• Percentile ranks
• The binomial distribution
• descriptive statistics
• basic probability theory
• inductive statistics
• multivariate analysis
• firm understanding
• concise manner
• Conditional probability
• Bayes’ theorem