`R/BSDA-package.R`

`Corn.Rd`

Data for Exercise 7.77

`Corn`

A data frame/tibble with 12 observations on three variables

- new
corn yield with new meathod

- standard
corn yield with standard method

- differences
`new`

minus`standard`

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

```
boxplot(Corn$differences)
qqnorm(Corn$differences)
qqline(Corn$differences)
shapiro.test(Corn$differences)
#>
#> Shapiro-Wilk normality test
#>
#> data: Corn$differences
#> W = 0.92248, p-value = 0.3072
#>
t.test(Corn$new, Corn$standard, paired = TRUE, alternative = "greater")
#>
#> Paired t-test
#>
#> data: Corn$new and Corn$standard
#> t = 3.8308, df = 11, p-value = 0.001395
#> alternative hypothesis: true difference in means is greater than 0
#> 95 percent confidence interval:
#> 4.116803 Inf
#> sample estimates:
#> mean of the differences
#> 7.75
#>
```