Data used in problem 6.39

Abbey

## Format

A data frame/tibble with 50 observations on one variable

price

daily price returns (in pence) of Abbey National shares

## Source

Buckle, D. (1995), Bayesian Inference for Stable Distributions, Journal of the American Statistical Association, 90, 605-613.

## References

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

## Examples


qqnorm(Abbey$price) qqline(Abbey$price)

t.test(Abbey$price, mu = 300) #> #> One Sample t-test #> #> data: Abbey$price
#> t = -0.050454, df = 49, p-value = 0.96
#> alternative hypothesis: true mean is not equal to 300
#> 95 percent confidence interval:
#>  298.3668 301.5532
#> sample estimates:
#> mean of x
#>    299.96
#>
hist(Abbey\$price, main = "Exercise 6.39",
xlab = "daily price returns (in pence)",
col = "blue")