Questions for Thought

  1. A product line is sold in 15 different configurations of packaging. How does the large number of package types influence the value of the chi-squared statistic?

  2. Why are chi-squared statistics not directly comparable between tables of different dimensions when the null hypothesis of independence holds?

  3. Could Cramer’s V (Chapter 5) have been used rather than p-values to standardize the results? Give an advantage and a disadvantage of p-values compared to Cramer’s V statistics.

  4. Of the 650 products, 69 come in five types of packaging. If packaging type and location are independent, what should be the average value of these 69 chi-squared statistics?

  5. Suppose managers evaluate the association between package type and location ...

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