TAILIEUCHUNG - Lecture Statistical techniques in business and economics (14/e): Chapter 11 - Lind, Marchal, Wathen

Chapter 11 - Two-sample tests of hypothesis. When you have completed this chapter, you will be able to: Conduct a test of a hypothesis about the difference between two independent population means, conduct a test of a hypothesis about the difference between two population proportions, conduct a test of a hypothesis about the mean difference between paired or dependent observations, understand the difference between dependent and independent samples. | Two-Sample Tests of Hypothesis Chapter 11 GOALS Conduct a test of a hypothesis about the difference between two independent population means. Conduct a test of a hypothesis about the difference between two population proportions. Conduct a test of a hypothesis about the mean difference between paired or dependent observations. Understand the difference between dependent and independent samples. Comparing two populations – Some Examples Is there a difference in the mean value of residential real estate sold by male agents and female agents in south Florida? Is there a difference in the mean number of defects produced on the day and the afternoon shifts at Kimble Products? Is there a difference in the mean number of days absent between young workers (under 21 years of age) and older workers (more than 60 years of age) in the fast-food industry? Is there is a difference in the proportion of Ohio State University graduates and University of Cincinnati graduates who pass the state

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