1-20chapter stats

# A 230 460 b 278 412 c 1895 1895 d 345 345 94

This preview shows page 1. Sign up to view the full content.

This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: ective Thinking Bloom's: Application Difficulty: Medium Learning Objective: 1 Topic: Chi-Square 10. In a contingency table, if all of the expected frequencies equal the observed frequencies, then we can conclude that there is a perfect association between rows and columns. FALSE AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 1 Topic: Chi-Square 1-1077 Chapter 01 - An Introduction to Business Statistics 11. When using chi-square goodness of fit test with multinomial probabilities, the rejection of the null hypothesis indicates that at least one of the multinomial probabilities is not equal to the value stated in the null hypothesis. TRUE AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 1 Topic: Chi-Square 12. A fastener manufacturing company uses a chi-square goodness of fit test to determine if a population of all lengths of ¼ inch bolts it manufactures is distributed according to a normal distribution. If we reject the null hypothesis, it is reasonable to assume that the population distribution is at least approximately normally distributed. FALSE AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 2 Topic: Chi-Square 13. When using the chi-square goodness of fit test, if the value of the chi-square statistic is large enough, we reject the null hypothesis. TRUE AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 1 Topic: Chi-Square 1-1078 Chapter 01 - An Introduction to Business Statistics 14. The chi-square goodness of fit test can only be used to test whether a population has specified multinomial probabilities or to test if a sample has been selected from a normally distributed population. It cannot be applied to test if a sample data comes from other distribution forms such as Poisson. FALSE AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 2 Topic: Chi-Square 15. In performing a chi-square test of independence, as the difference between the respective observed and expected frequencies decrease, the probability of concluding that the row variable is independent of the column variable decreases. FALSE AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 3 Topic: Chi-Square 16. In performing a chi-square goodness of fit test with multinomial probabilities, the smaller the difference between observed and expected frequencies, the higher the probability of concluding that the probabilities specified in the null hypothesis is correct. TRUE AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 1 Topic: Chi-Square 1-1079 Chapter 01 - An Introduction to Business Statistics 17. When we carry out a chi-square test of independence, if ri is row total for row i and cj is the column total for column j, then the estimated expected cell frequency corresponding to row i and column j equals (ri) (cj)/n. TRUE AACSB: Reflective Thinking Bloom's: Application Difficulty: Medium Learning Objective: 3 Topic: Chi-Square 18. When we carry out a chi-square test of independence, the chi-square statistic is based on (rc-1) degrees of freedom where r and c denote, respectively the number of rows and columns n the contingency table. FALSE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Easy Learning Objective: 3 Topic: Chi-Square 19. When we carry out a chi-square test of independence, in the alternative hypothesis we state that the two classifications are statistically independent. FALSE AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Easy Learning Objective: 3 Topic: Chi-Square 20. When we carry out a chi-square test of independence, the expected frequencies are based on the null hypothesis. TRUE AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Hard Learning Objective: 3 Topic: Chi-Square 1-1080 Chapter 01 - An Introduction to Business Statistics 21. When we carry out a goodness of fit chi-square test, the expected frequencies are based on the alternative hypothesis. FALSE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 1 Topic: Chi-Square Multiple Choice Questions 22. The χ2 statistic from a contingency table with 6 rows and five columns will have A. 30 degrees of freedom B. 24 degrees of freedom C. 5 degrees of freedom D. 20 degrees of freedom E. 25 degrees of freedom AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 1 Topic: Chi-Square 23. The chi-square goodness of fit is _________ a one-tailed test with the rejection region in the right tail. A. Always B. Sometimes C. Never AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Easy Learning Objective: 1 Topic: Chi-Square 1-1081 Chapter 01 - An Introduction to Business Statistics 24. The chi-square goodness of fit test can be used when: A. We conduct a binomial experiment. B. We conduct a multinomial experiment. C. We perform a hypothesis test to determine...
View Full Document

{[ snackBarMessage ]}

Ask a homework question - tutors are online