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(a) Draw a tree diagram to display all the possible outcomes that can occur when you flip a coin and then toss a die. (b) How many outcomes contain a head and a number greater than 4 ? (c) Probability extension: Assuming the outcomes displayed in the tree diagram are all equally likely, what is the probability that you will get a head and a number greater than 4 when you flip a coin and toss a die?

Short Answer

Expert verified
(a) Total outcomes are 12. (b) Outcomes H5, H6. (c) Probability is \( \frac{1}{6} \).

Step by step solution

01

Understanding the Problem

We need to display outcomes from a sequence of two events: flipping a coin and tossing a die. We then need to find specific outcomes and their probability.
02

Drawing the Tree Diagram

First, create a tree diagram by considering the two separate events: flipping a coin and tossing a die. The initial branch splits into two possible outcomes: Head (H) and Tail (T). Each outcome leads into another branch for the die with possible outcomes 1, 2, 3, 4, 5, and 6.
03

Listing All Possible Outcomes

From the tree diagram, we recognize 12 total outcomes: H1, H2, H3, H4, H5, H6, T1, T2, T3, T4, T5, T6. Each denotes a combination of the coin flip and die roll.
04

Finding Specific Outcomes with Head and Number Greater than 4

Identify outcomes with a 'Head' and a number greater than 4. These outcomes, from our list, are H5 and H6.
05

Counting the Desired Outcomes

Count the specific outcomes identified in Step 4. There are 2 outcomes: H5 and H6.
06

Calculating the Total Outcomes

Recognize that from Step 3 there are 12 possible outcomes, as each coin result leads to 6 different die results.
07

Computing the Probability

The probability of getting a head and a number greater than 4 is calculated by the ratio of favorable outcomes to total outcomes, i.e., \( \frac{2}{12} = \frac{1}{6} \).

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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 graphical representation that helps visualize all possible outcomes of a series of events. It is particularly useful when dealing with sequential events, such as flipping a coin and then rolling a die. The structure of a tree diagram begins with a single point that branches out to show all possible results, similar to the branches of a tree.

In the context of our exercise, the first set of branches represents the outcomes of a coin flip: heads (H) or tails (T). From each of these branches, another set of branches emerges, representing the result of the subsequent die roll. This results in a total of 12 outcomes, each a combination of a coin flip followed by a die roll. Using a tree diagram not only simplifies understanding but also ensures accurate representation of all possible outcomes.
Outcomes
In probability, an outcome is the result of a random process, such as flipping a coin or rolling a die. For compound events, like the sequence in our exercise, each possible combination of outcomes from individual events is considered separate.
  • Flipping a coin gives us two possible outcomes: Heads (H) or Tails (T).
  • Rolling a die provides six possible outcomes: 1, 2, 3, 4, 5, or 6.

Combining these two actions, we find that the coin's result multiplies the possible outcomes of the die. Thus, there are 2 (from the coin) times 6 (from the die) equals 12 distinct outcomes, each represented as a combination such as H2 or T5 in our tree diagram.
Coin Flip
A coin flip, also known as a coin toss, is one of the simplest examples of a random binary process. It has two possible outcomes, heads (H) or tails (T), each with a probability of 0.5, assuming a fair coin.

In our exercise, the flip of the coin is the first event that determines which initial branch of the tree diagram is pursued. It's a classic example of probability because each outcome is equally likely, providing a straightforward way to explore how combining it with subsequent events, like a die roll, expands the range of possible outcomes.
Die Roll
Rolling a standard six-sided die results in one of six possible outcomes, typically represented by the numbers 1 through 6. Each number has an equal probability of occurring when the die is fair, which is \( \frac{1}{6} \) for any single number.

In our exercise, after determining the result of a coin flip, the die roll follows, yielding six potential outcomes per coin flip result. This produces a decision tree where each node of the coin leads to six branches corresponding to the die results, thus expanding our combination of possible outcomes when considered alongside the initial coin flip. The concept of die rolls in probability helps in understanding sequence processes and compound event probabilities.

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Most popular questions from this chapter

Four wires (red, green, blue, and yellow) need to be attached to a circuit board. A robotic device will attach the wires. The wires can be attached in any order, and the production manager wishes to determine which order would be fastest for the robot to use. Use the multiplication rule of counting to determine the number of possible sequences of assembly that must be tested. (Hint: There are four choices for the first wire, three for the second, two for the third, and only one for the fourth.)

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(a) Make a tree diagram to show all the possible sequences of answers for three multiple-choice questions, each with four possible responses. (b) Probability extension: Assuming that you are guessing the answers so that all outcomes listed in the tree are equally likely, what is the probability that you will guess the one sequence that contains all three correct answers?

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