Chapter 5: Problem 17
What is the probability that a baby will be born on a Friday OR a Saturday OR a Sunday if all the days of the week are equally likely as birthdays?
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Chapter 5: Problem 17
What is the probability that a baby will be born on a Friday OR a Saturday OR a Sunday if all the days of the week are equally likely as birthdays?
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Assume that the only grades possible in a history course are \(\mathrm{A}, \mathrm{B}, \mathrm{C}\), and lower than \(\mathrm{C}\). The probability that a randomly selected student will get an A in a certain history course is \(0.18\), the probability that a student will get a \(\mathrm{B}\) in the course is \(0.25\), and the probability that a student will get a \(\mathrm{C}\) in the course is \(0.37 .\) a. What is the probability that a student will get an A OR a B? b. What is the probability that a student will get an A OR a B OR a C? c. What is the probability that a student will get a grade lower than a \(\mathrm{C}\) ?
Consider a multiple-choice test with a total of four possible options for each question. a. What is the probability of guessing correctly on one question? (Assume that there are three incorrect options and one correct option.) b. What is the probability that a guess on one question will be incorrect?
A jury is supposed to represent the population. We wish to perform a simulation to determine an empirical probability that a jury of 12 people has 5 or fewer women. Assume that about \(50 \%\) of the population is female, so the probability that a person who is chosen for the jury is a woman is \(50 \%\). Using a random number table, we decide that each digit will represent a juror. The digits 0 through 5 , we decide, will represent a female chosen, and 6 through 9 will represent a male. Why this is a bad choice for this simulation?
The table shows the results of rolling a fair six-sided die. $$ \begin{array}{|c|c|c|c|} \hline \begin{array}{c} \text { Outcome } \\ \text { on Die } \end{array} & \mathbf{2 0} \text { Trials } & \mathbf{1 0 0} \text { Trials } & \mathbf{1 0 0 0} \text { Trials } \\ \hline 1 & 8 & 20 & 167 \\ \hline 2 & 4 & 23 & 167 \\ \hline 3 & 5 & 13 & 161 \\ \hline 4 & 1 & 13 & 166 \\ \hline 5 & 2 & 16 & 172 \\ \hline 6 & 0 & 15 & 167 \\ \hline \end{array} $$ Using the table, find the empirical probability of rolling a 1 for 20,100 , and 1000 trials. Report the theoretical probability of rolling a 1 with a fair six-sided die. Compare the empirical probabilities to the theoretical probability, and explain what they show.
A soda-bottling plant has a flaw in that \(20 \%\) of the bottles it fills do not have enough soda in them. The sodas are sold in six-packs. Follow these steps to carry out a simulation to find the probability that three or more bottles in a six-pack will not have enough soda. a. Identify the action with a random outcome, and explain how you will simulate this outcome using the random number table in Appendix A. If you want to get the same answers we got, use all the possible one digit numbers \((0,1,2,3,4,5,6,7,8\), and 9\()\), and use some at the beginning of the list of numbers to represent bad and the rest to represent good. What numbers would represent bad and what numbers would represent good, and why? b. Describe how you will simulate a single trial. c. Describe the event of interest - that is, the event for which you wish to estimate a probability. d. Carry out 10 trials, beginning with the first digit on line 15 of the random number table in Appendix A. For each trial, list the digits chosen, the outcomes they represent, and whether or not the event of interest occurred. e. What is the experimental probability that you get three or more "bad" bottles in a six-pack?
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