/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 29 A bag of 30 tulip bulbs purchase... [FREE SOLUTION] | 91Ó°ÊÓ

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A bag of 30 tulip bulbs purchased from a nursery contains 12 red tulip bulbs, 10 yellow tulip bulbs, and 8 purple tulip bulbs. Use a tree diagram like the one in Example 5 to answer the following: (a) What is the probability that two randomly selected tulip bulbs are both red? (b) What is the probability that the first bulb selected is red and the second yellow? (c) What is the probability that the first bulb selected is yellow and the second is red? (d) What is the probability that one bulb is red and the other yellow?

Short Answer

Expert verified
a) \(\frac{22}{145}\), b) \(\frac{4}{29}\), c) \(\frac{4}{29}\), d) \(\frac{8}{29}\)

Step by step solution

01

Understand the total number of bulbs

There are a total of 30 tulip bulbs in the bag: 12 red, 10 yellow, and 8 purple.
02

Calculate the probability of two red bulbs

To find the probability of selecting two red bulbs, calculate the probability of selecting the first red bulb and then the second red bulb without replacement. The probability of the first red bulb is \(\frac{12}{30}\) and for the second red bulb is \(\frac{11}{29}\). Thus: \(\frac{12}{30} \times \frac{11}{29} = \frac{132}{870} = \frac{44}{290} = \frac{22}{145}\)
03

Calculate the probability of the first bulb red and second yellow

To find the probability of selecting a red bulb first and then a yellow bulb, calculate: The probability of the first red bulb is \(\frac{12}{30}\) and for the second yellow bulb is \(\frac{10}{29}\). Thus: \(\frac{12}{30} \times \frac{10}{29} = \frac{120}{870} = \frac{4}{29}\)
04

Calculate the probability of the first yellow bulb and second red

To find the probability of selecting a yellow bulb first and then a red bulb, calculate: The probability of the first yellow bulb is \(\frac{10}{30}\) and for the second red bulb is \(\frac{12}{29}\). Thus: \(\frac{10}{30} \times \frac{12}{29} = \frac{120}{870} = \frac{4}{29}\)
05

Calculate the probability of one red and one yellow (either order)

The probability of one red and one yellow bulb can occur in two ways: Red first then yellow, or yellow first then red. Therefore, add the two probabilities calculated in Steps 3 and 4: \(\frac{4}{29} + \frac{4}{29} = \frac{8}{29}\)

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Tree Diagram
A tree diagram is a visual representation used to map out and solve probability problems. It shows all possible outcomes of an event and their corresponding probabilities. Here's how to use a tree diagram for this exercise:

Draw a branch for each possible outcome for the first tulip bulb. Since we are dealing with three colors, the first set of branches will be for red, yellow, and purple.

Each of these branches will split into further branches representing the outcome of the second tulip bulb. For example, if the first tulip bulb chosen is red, the next set of branches will represent the possibility of selecting a red, yellow, or purple bulb next.

This way, a tree diagram helps you visualize all possible outcomes and makes it easier to calculate combined probabilities by following the paths through the branches.
Conditional Probability
Conditional probability is the probability of an event occurring given that another event has already occurred. In the tulip bulb exercise, we use conditional probability to determine the likelihood of specific sequences of events. Here’s how it applies:

When calculating the probability of selecting two red bulbs consecutively, the probability of the second event depends on the first event.

First, calculate the probability of selecting a red bulb: \(\frac{12}{30}\). This is straightforward as there are 12 red bulbs out of 30.

Then, for the second selection, the context has changed because one red bulb has already been picked. Now, there are 11 red bulbs left out of a total of 29 bulbs. So, the probability of picking a red bulb the second time is \(\frac{11}{29}\).

This dependency on previous outcomes exemplifies conditional probability. Similar steps are taken for the combinations involving yellow and red bulbs.
Combinations
Combinations involve selecting items without regard to the order. In this scenario, combinations are used to calculate the likelihood of picking bulbs in different orders.

For example, the probabilities of picking a red first, then yellow, and yellow first, then red, are calculated separately. However, for the final probability of one red and one yellow bulb in any order, we need to consider both combinations.
Calculate each sequence individually, like so:
  • Red first, then yellow: \(\frac{12}{30} \times \frac{10}{29}\).
  • Yellow first, then red: \(\frac{10}{30} \times \frac{12}{29}\).

Adding these probabilities:
\(\frac{4}{29} + \frac{4}{29} = \frac{8}{29}\).

This demonstrates the idea of combinations - the order might change, but the overall likelihood of different sequences happening sums up to the total probability of the event occurring.

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Most popular questions from this chapter

According to Internal Revenue Service records, \(6.42 \%\) of all household tax returns are audited. According to the Humane Society, \(39 \%\) of all households own a dog. Assuming dog ownership and audits are independent events, what is the probability a randomly selected household is audited and owns a dog?

According to the U.S. Census Bureau, \(8.0 \%\) of 16 - to 24 -year-olds are high school dropouts. In addition, \(2.1 \%\) of 16 - to 24 -year-olds are high school dropouts and unemployed. What is the probability that a randomly selected 16 - to 24 -year-old is unemployed, given he or she is a dropout?

Which of the following numbers could be the probability of an event? $$ 0,0.01,0.35,-0.4,1,1.4 $$

Fingerprints are now widely accepted as a form of identification. In fact, many computers today use fingerprint identification to link the owner to the computer. In \(1892,\) Sir Francis Galton explored the use of fingerprints to uniquely identify an individual. A fingerprint consists of ridgelines. Based on empirical evidence, Galton estimated the probability that a square consisting of six ridgelines that covered a fingerprint could be filled in accurately by an experienced fingerprint analyst as \(\frac{1}{2}\). (a) Assuming that a full fingerprint consists of 24 of these squares, what is the probability that all 24 squares could be filled in correctly, assuming that success or failure in filling in one square is independent of success or failure in filling in any other square within the region? (This value represents the probability that two individuals would share the same ridgeline features within the 24 -square region.) (b) Galton further estimated that the likelihood of determining the fingerprint type (e.g., arch, left loop, whorl, etc.) as \(\left(\frac{1}{2}\right)^{4}\) and the likelihood of the occurrence of the correct number of ridges entering and exiting each of the 24 regions as \(\left(\frac{1}{2}\right)^{8}\). Assuming that all three probabilities are independent, compute Galton's estimate of the probability that a particular fingerprint configuration would occur in nature (that is, the probability that a fingerprint match occurs by chance).

Adult Americans (18 years or older) were asked whether they used social media (Facebook, Twitter, and so on ) regularly. The following table is based on the results of the survey. $$ \begin{array}{lccccc} & \mathbf{1 8 - 3 4} & \mathbf{3 5 - 4 4} & \mathbf{4 5 - 5 4} & \mathbf{5 5 +} & \text { Total } \\ \hline \begin{array}{l} \text { Use social } \\ \text { media } \end{array} & 117 & 89 & 83 & 49 & \mathbf{3 3 8} \\ \hline \begin{array}{l} \text { Do not use } \\ \text { social media } \end{array} & 33 & 36 & 57 & 66 & \mathbf{1 9 2} \\ \hline \text { Total } & \mathbf{1 5 0} & \mathbf{1 2 5} & \mathbf{1 4 0} & \mathbf{1 1 5} & \mathbf{5 3 0} \\ \hline \end{array} $$ (a) What is the probability that a randomly selected adult American uses social media, given the individual is \(18-34\) years of age? (b) What is the probability that a randomly selected adult American is \(18-34\) years of age, given the individual uses social media? (c) Are 18 - to 34 -year olds more likely to use social media than individuals in general? Why?

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