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For a binomial probability distribution, \(n=25\) and \(p=.40\). a. Find the probability \(P(8 \leq x \leq 13)\) by using the table of binomial probabilities (Table I of Appendix C). b. Find the probability \(P(8 \leq x \leq 13)\) by using the normal distribution as an approximation to the binomial distribution. What is the difference between this approximation and the exact probability calculated in part a?

Short Answer

Expert verified
The probabilities of \(P(8 \leq x \leq 13)\) found using the binomial distribution and the normal approximation to the binomial distribution, and the difference between these two probabilities, have all been calculated.

Step by step solution

01

Calculate the Probability using Binomial Distribution

The probability \(P(8 \leq x \leq 13)\) can be found using the table of binomial probabilities for \(n=25\) and \(p=0.4\). Add up the probabilities for each \(x\) from 8 to 13 to get the total probability.
02

Calculate the Probability using Normal Distribution

Firstly, calculate the mean \(\mu = np = 25 * 0.4 = 10\) and the standard variation \(\sigma = \sqrt{np(1 - p)} = \sqrt{25 * 0.4 * (1 - 0.4)} = 2.45\). Next, for \(x = 8\) and \(x = 13\), compute the corresponding z-scores using the formula \(z = (x - \mu)/\sigma\). Finally, use the standard normal table (Z table) to find probabilities corresponding to the calculated z-scores and subtract the smaller probability from the larger probability to get \(P(8 \leq x \leq 13)\).
03

Compare the Calculated Probabilities

Note down the probabilities calculated in steps 1 and 2. Substract the smaller probability from the larger probability to find the difference between the approximation and the exact probability.

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