TAILIEUCHUNG - Lecture Statistical techniques in business and economics - Chapter 9: Estimation and confidence intervals

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;. | Chapter 9 Estimation and Confidence Intervals Chapter Goals 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 Construct a confidence interval for the population mean when the population standard deviation is known When you have completed this chapter, you will be able to: and. 1 2 3 4 Chapter Goals Construct a confidence interval for the population mean when the population is normally distributed and the population standard deviation is unknown Construct a confidence interval for a population proportion Determine the sample size for attribute and variable sampling 7 6 5 8 Construct a confidence interval for the population variance when the population is normally distributed Terminology Point Estimate is a single value (statistic) used to .

• Kinh tế học
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• Confidence intervals
• Point estimator
• Confidence interval
• Statistical inference
• Independent samples
• Statistical process control
• Quality management
• Random observation
• Sampling methods
• Central limit theorem
• 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