Exam 17: Nonparametric Methods

Suppose that ten new smart phone models were evaluated by two consumer electronics magazines (Popular Electronics and Electronics Now) from 1 (best) to 10 (worst) as follows. How strong is the agreement between the two magazines? a. Why can't the Pearson correlation be used for these data? b. The Spearman's rho is 0.745. What does this tell us about the association?

For the scatterplots shown below, indicate what about the data make nonparametric methods appropriate for measuring the association between x and y. a. b.

Consider the following to answer the question(s) below: A paint manufacturer is interested in determining whether there is a difference in time it takes for two different brands of paint to dry once they have been applied to a wall surface. To test this, the company has selected a random sample of 5 walls and applied Brand 1, and another 5 walls and applied Brand 2. The following data reflect the actual drying time in hours: -The appropriate nonparametric method to use for these data is the

Eight hybrid cars are used to determine if there is a difference in fuel efficiency (l/100km) with and without a particular additive. Using the appropriate nonparametric method, the value of the calculated test statistic for the data shown below is

Suppose that ten new smart phone models were evaluated by two consumer electronics magazines from 1 (best) to 10 (worst). Spearman's rho was calculated to be - 0.45. We can say that

Suppose the Kruskal-Wallis test was used to compare four groups. If the test statistic value was found to be 9.545, using α = 0.05 we should