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R Statistical Application Development by Example Beginner's Guide by Prabhanjan Narayanachar Tattar

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Time for action – testing the 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.

  1. Discover the details related to binom.test using ?binom.test, and then run example(binom.test) and ensure that you understand the default example.
  2. 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
  3. 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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