Chapter 5: Problem 49
Evaluate these probabilities: a. \(\frac{C_{1}^{3} C_{1}^{2}}{C_{2}^{5}}\) b. \(\frac{C_{2}^{4} C_{1}^{3}}{C_{3}^{7}}\) c. \(\frac{C_{4}^{5} C_{0}^{3}}{C_{4}^{8}}\)
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Chapter 5: Problem 49
Evaluate these probabilities: a. \(\frac{C_{1}^{3} C_{1}^{2}}{C_{2}^{5}}\) b. \(\frac{C_{2}^{4} C_{1}^{3}}{C_{3}^{7}}\) c. \(\frac{C_{4}^{5} C_{0}^{3}}{C_{4}^{8}}\)
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Consider a binomial random variable with \(n=8\) and \(p=.7\). Let \(x\) be the number of successes in the sample. a. Find the probability that \(x\) is 3 or less. b. Find the probability that \(x\) is 3 or more. c. Find \(P(x<3)\). d. Find \(P(x=3)\). e. Find \(P(3 \leq x \leq 5)\).
Teen Magazines Although teen magazines Teen People, Hachette Filipacche, and Elle Girl folded in \(2006,70 \%\) of people in a phone-in poll said teens are still a viable market for print, but they do not want titles that talk to them like they are teens. \({ }^{8}\) They read more sophisticated magazines. A sample of \(n=400\) people are randomly selected. a. What is the average number in the sample who said that teenagers are still a viable market for print? b. What is the standard deviation of this number? c. Within what range would you expect to find the number in the sample who said that there is a viable market for teenage print? d. If only 225 in a sample of 400 people said that teenagers are still a viable market for print, would you consider this unusual? Explain. What conclusions might you draw from this sample information?
Poisson vs. Binomial Let \(x\) be a binomial random variable with \(n=20\) and \(p=.1\). a. Calculate \(P(x \leq 2)\) using Table 1 in Appendix I to obtain the exact binomial probability. b. Use the Poisson approximation to calculate $$ P(x \leq 2) $$ c. Compare the results of parts a and b. Is the approximation accurate?
Consider a Poisson random variable with \(\mu=2.5 .\) Calculate the following probabilities using the following table. $$ \begin{array}{|l|l|l|} \hline \text { Probability } & \text { Formula } & \text { Calculated Value } \\\ \hline P(x=0) & \frac{\mu^{k} e^{-\mu}}{k !}= & \\ \hline P(x=1) & \frac{\mu^{k} e^{-\mu}}{k !}= & \\ \hline P(x=2) & \frac{\mu^{k} e^{-\mu}}{k !}= & \\ \hline P(2 \text { or fewer successes }) & P(x=\longrightarrow)+P(x=\longrightarrow)+P(x=\longrightarrow) & \\ \hline \end{array} $$
Use the applet to find the following:
a. \(P(x<6)\) for \(n=22, p=.65\)
b. \(P(x=8)\) for \(n=12, p=.4\)
c. \(P(x>14)\) for \(n=20, p=.5\)
d. \(P(2
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