Data for Exercise 6.65

Short

Format

A data frame/tibble with 158 observations on two variables

sample

sample number

parallax

parallax measurements (seconds of a degree)

References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

Examples


hist(Short$parallax, main = "Problem 6.65", 
xlab = "", col = "orange")

SIGN.test(Short$parallax, md = 8.798)
#> 
#> 	One-sample Sign-Test
#> 
#> data:  Short$parallax
#> s = 40, p-value = 3.966e-10
#> alternative hypothesis: true median is not equal to 8.798
#> 95 percent confidence interval:
#>  8.50 8.58
#> sample estimates:
#> median of x 
#>        8.55 
#> 
#> Achieved and Interpolated Confidence Intervals: 
#> 
#>                   Conf.Level L.E.pt U.E.pt
#> Lower Achieved CI     0.9331    8.5   8.58
#> Interpolated CI       0.9500    8.5   8.58
#> Upper Achieved CI     0.9536    8.5   8.58
#> 
t.test(Short$parallax, mu = 8.798)
#> 
#> 	One Sample t-test
#> 
#> data:  Short$parallax
#> t = -3.5135, df = 157, p-value = 0.000578
#> alternative hypothesis: true mean is not equal to 8.798
#> 95 percent confidence interval:
#>  8.503618 8.715496
#> sample estimates:
#> mean of x 
#>  8.609557 
#>