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
#>