# STATISTICS

1. What is the deep variety among primitive and unimportant grounds?

2. What is the most extreme kind of detriment grounds tenor?

3. Suppuzzle you respect the aftercited 3 retirement examples that describe overall customer indemnification scaled 1 (worst) to 10 (best) to customer evaluations scaled 1 (worst) to 10 (best) in the areas of work condition (X6), e-commerce (X7), complaint separation (X9), salesforce representation (X12), and so on (skillful all waverings names is not inevitable to retort this doubt).  Based on the output beneath, which example is best?

4. What is the p-appreciate of the interdependence among X and Y?

5. Use the aftercited sales grounds to indicate whether moderation sales varies from one offspring to the present.  Are the varietys statistically telling?  What is your fitted F-value?

6. Achieve a statistical gauge to indicate whether age is loftier for those who subscribes to a employment utility.  What is your p-appreciate stately that the scantling variances are the identical?

7. What is the primitive variety among a quasi-illustration and an illustration?

8. What is the essential variety among innate grounds and regulative grounds?

9. What does the lowest squares order do correspondently?

10. Suppuzzle you respect a retirement example that describes overall customer indemnification scaled 1 (worst) to 10 (best) to customer evaluations scaled 1 (worst) to 10 (best) in the areas of work condition (X6), e-commerce (X7), complaint separation (X9), work row (X11), and salesforce representation (X12).  What percentage of the change in X19 can be explained by change in X6, X7, X9, X11, and X12 adjusting for the number of waverings moderate in the example?

11. For a absorbed roll of statistical discernment, increasing the scantling extent allure do what to the susceptibility of a statistical gauge.

12. Achieve a statistical gauge to indicate whether there is a statistically telling variety in age by whether a peculiar subscribes to a employment utility.  What is your p-appreciate for a 2-tail gauge stately that the scantling variances are the identical?

13. What is the interdependence for waverings X and Y?

14. Use the grounds beneath to respect a retirement example that describes overall customer indemnification (X19) scaled 1 (worst) to 10 (best) to customer evaluations scaled 1 (worst) to 10 (best) in the areas of work condition (X6), e-commerce (X7), complaint separation (X9), work row (X11), salesforce representation (X12) and fixed extent measured as 1 for big fixeds, 0 for weak fixeds.  What are your results?  Declare the swell coefficients, the coefficient of preference, and the gauge falsity of the retirement.

15. Suppuzzle you respect a retirement example that describes overall customer indemnification scaled 1 (worst) to 10 (best) to customer evaluations scaled 1 (worst) to 10 (best) in the areas of work condition (X6), e-commerce (X7), complaint separation (X9), work row (X11), and salesforce representation (X12).  Please declare the output beneath.  Are any of the results counterintuitive?

16. What does a multiple rowar retirement decomposition study?

17. Suppuzzle you respect a retirement example that describes overall customer indemnification scaled 1 (worst) to 10 (best) to customer evaluations scaled 1 (worst) to 10 (best) in the areas of work condition (X6), e-commerce (X7), complaint separation (X9), work row (X11), and salesforce representation (X12).  What is the gauge falsity of the retirement?

18. What happens to the presumption of committing a Kind II falsity if we abate the roll of statistical discernment?

19. Suppuzzle that we accept the aftercited grounds on two paired scantlings.  Are varietys statistically telling?  What is your t-value?

20. What is the gauge inconsequence of a population intervening of the aftercited appreciates: 23, 10, 16, 18, 14, 31, and 19?

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