We will use the R function `binom.test`

for testing hypotheses problems related to *p*. This function takes as arguments `n`

number of trials, `x`

number of successes, `p`

as the probability of interest, and `alternative`

as one of `greater`

, `less`

, or `greater`

.

- Discover the details related to
`binom.test`

using`?binom.test`

, and then run`example(binom.test)`

and ensure that you understand the default example. - For the LCD panel manufacturer, we have
`n`

= 893 and`x`

= 39. The null hypothesis occurs at`p`

= 0.04. Enter this data first in R with the following code:n_lcd <- 893; x_lcd <- 39; p_lcd <- 0.04

- The alternative hypothesis is that the proportion of success
`p`

is greater than 0.04, which is listed to the`binom.test ...`

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