TAILIEUCHUNG - Lecture Statistical techniques in business and economics: Chapter 9 - Lind, Marchal, Wathen

In this chapter you will learn: Define a point estimator, a point estimate, and desirable properties of a point estimator such as unbiasedness, efficiency, and consistency; define an interval estimator and an interval estimate; define a confidence interval, confidence level, margin of error, and a confidence interval estimate;. | Estimation and Confidence Intervals Chapter 9 GOALS Define a point estimate. Define level of confidence. Construct a confidence interval for the population mean when the population standard deviation is known. Construct a confidence interval for a population mean when the population standard deviation is unknown. Construct a confidence interval for a population proportion. Determine the sample size for attribute and variable sampling. Sampling and Estimates Why Use Sampling? To contact the entire population is too time consuming. The cost of studying all the items in the population is often too expensive. The sample results are usually adequate. Certain tests are destructive. Checking all the items is physically impossible. Point Estimate versus Confidence Interval Estimate A point estimate is a single value (point) derived from a sample and used to estimate a population value. A confidence interval estimate is a range of values constructed from sample data so that the .

• 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