Statistical Application Development with R and Python - Second Edition by Prabhanjan Narayanachar Tattar

Author:Prabhanjan Narayanachar Tattar [Tattar, Prabhanjan Narayanachar]
Language: eng
Format: azw3
Publisher: Packt Publishing
Published: 2017-08-31T04:00:00+00:00

Time for action – testing probability of success

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

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