TAILIEUCHUNG - Lecture Statistical techniques in business and economics (14/e): Chapter 12 - Lind, Marchal, Wathen

Chapter 12 - Analysis of variance. In this chapter, the learning objectives are: List the characteristics of the F distribution, conduct a test of hypothesis to determine whether the variances of two populations are equal, discuss the general idea of analysis of variance, organize data into a one-way and a two-way ANOVA table, conduct a test of hypothesis among three or more treatment means,. | Analysis of Variance Chapter 12 GOALS List the characteristics of the F distribution. Conduct a test of hypothesis to determine whether the variances of two populations are equal. Discuss the general idea of analysis of variance. Organize data into a one-way and a two-way ANOVA table. Conduct a test of hypothesis among three or more treatment means. Develop confidence intervals for the difference in treatment means. Conduct a test of hypothesis among treatment means using a blocking variable. Conduct a two-way ANOVA with interaction. The F Distribution Uses of the F Distribution test whether two samples are from populations having equal variances to compare several population means simultaneously. The simultaneous comparison of several population means is called analysis of variance(ANOVA). Assumption: In both of the uses above, the populations must follow a normal distribution, and the data must be at least interval-scale. Characteristics of the F Distribution There is a .

• Kinh tế học
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• Analysis of variance
• Equal variances
• 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
• 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