Data for Exercise 5.73
Malpract
A data frame/tibble with 17 observations on one variable
malpractice reward (in $1000)
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
SIGN.test(Malpract$award, conf.level = 0.90)
#>
#> One-sample Sign-Test
#>
#> data: Malpract$award
#> s = 17, p-value = 1.526e-05
#> alternative hypothesis: true median is not equal to 0
#> 90 percent confidence interval:
#> 263.4922 1149.2017
#> sample estimates:
#> median of x
#> 450
#>
#> Achieved and Interpolated Confidence Intervals:
#>
#> Conf.Level L.E.pt U.E.pt
#> Lower Achieved CI 0.8565 275.0000 850.000
#> Interpolated CI 0.9000 263.4922 1149.202
#> Upper Achieved CI 0.9510 250.0000 1500.000
#>