TAILIEUCHUNG - Lecture Statistical techniques in business and economics (14/e): Chapter 17 - Lind, Marchal, Wathen

Chapter 17 - Nonparametric methods: Chi-square applications. In this chapter, the learning objectives are: List the characteristics of the chi-square distribution, conduct a test of hypothesis comparing an observed set of frequencies to an expected distribution, conduct a test of hypothesis to determine whether two classification criteria are related. | Nonparametric Methods: Chi-Square Applications Chapter 17 GOALS List the characteristics of the chi-square distribution. Conduct a test of hypothesis comparing an observed set of frequencies to an expected distribution. Conduct a test of hypothesis to determine whether two classification criteria are related. Characteristics of the Chi-Square Distribution The major characteristics of the chi-square distribution It is positively skewed. It is non-negative. It is based on degrees of freedom. When the degrees of freedom change a new distribution is created. Goodness-of-Fit Test: Equal Expected Frequencies Let f0 and fe be the observed and expected frequencies respectively. H0: There is no difference between the observed and the expected frequencies H1: There is a difference between the observed and the expected frequencies. The test statistic is: The critical value is a chi-square value with (k-1) degrees of freedom, where k is the number of categories EXAMPLE Ms. Jan .

• Kinh tế học
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• Nonparametric methods
• Chi square applications
• 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
• 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