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6.9 Two six-sided dice, one red and one white, will be rolled. List the possible values for each of the following random variables. a. \(x=\) sum of the two numbers showing b. \(y=\) difference between the number on the red die and the number on the white die (red - white) c. \(w=\) largest number showing

Short Answer

Expert verified
a. Possible values for sum: \(2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12\) b. Possible values for difference (red - white): \(0, 1, 2, 3, 4, 5\) c. Possible values for the largest number showing: \(1, 2, 3, 4, 5, 6\)

Step by step solution

01

a. Sum of the two numbers showing

To find the possible values for the sum of the two numbers showing, we need to consider every possible outcome from rolling the two six-sided dice. Since both dice have numbers 1 to 6, we can get the following sums: \(2 \, (1+1)\), \(3 \, (1+2), (2+1)\), \(4 \, (1+3), (2+2), (3+1)\), ... , \(12 \, (6+6)\). The possible values for the sum are: \(2, 3, 4, 5, 6, 7, 8, 9, 10, 11,12\)
02

b. Difference between the number on the red die and the number on the white die (red - white)

To find the possible values for the difference between the two numbers showing, we again need to consider every possible outcome from rolling the two six-sided dice. This time, we are looking at the difference between the number on the red die and the number on the white die, which can be any of the following: \(0 \, (when \, the \, numbers \, are \, equal), 1, 2, 3, 4, 5\). The possible values for the difference are: \(0, 1, 2, 3, 4, 5\)
03

c. Largest number showing

To find the possible values for the largest number showing, we again need to consider every possible outcome from rolling the two six-sided dice. Since we have two dice with numbers ranging from 1 to 6, the largest number showing can be 1 (if both dice show 1), 2 (if a 2 is showing and the other die is 1 or 2), all the way up to 6 (if 6 is showing on one or both dice). The possible values for the largest number are: \(1, 2, 3, 4, 5, 6\)

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Key Concepts

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

Random Variables
A random variable is a numerical description of the outcome of a probabilistic event. In the context of rolling dice, each roll represents an experiment where the result is uncertain. Consider two six-sided dice: one red and one white. When these dice are rolled, the values that appear on the top-facing sides are random, thus they can be described using random variables.

A random variable is defined by the set of possible values it can take and the probability associated with each value. In our exercise, the random variables are represented by the sum of the dice, the difference of dice rolls, and the largest number showing. Assigning a random variable, like 'x' for sum or 'y' for difference, allows us to communicate and manipulate these outcomes mathematically.
Sum of Dice Rolls
The sum of two dice rolls is a classic probability exercise. When two dice are rolled, the smallest sum we can get is 2 (both dice show a 1) and the largest sum is 12 (both dice show a 6). The range of possible sums is therefore from 2 to 12.

However, not all sums have the same probability of occurring. For example, there is only one way to roll a 2 (1+1), but there are multiple ways to roll a 7 (1+6, 2+5, 3+4, 4+3, 5+2, 6+1). Understanding the distribution of these outcomes is key to grasping the probabilities of rolling certain sums.
Difference of Dice Rolls
When discussing the difference of dice rolls, we're interested in the absolute difference between the numbers showing on the red die and the white die. Since the dice are fair and have values from 1 to 6, the differences range from 0 (when both dice show the same number) to 5 (when one die shows a 6 and the other a 1, for instance).

The calculation of the difference ignores which die is higher or lower, considering only the magnitude of the difference. For every pair of dice rolls, the difference can be quickly found, and its possible values enumerated. Unlike sums, all differences have the same chance of appearing because each difference can only happen in two ways (e.g., a difference of 2 can occur with a roll of 3 on the red die and a roll of 1 on the white die or vice versa).
Largest Number on Dice
Determining the largest number showing on either die after a roll is another interesting variable that can be derived from a pair of six-sided dice. This value is simply the higher of the two numbers that are rolled. The possible outcomes are 1 through 6.

The chances of rolling any specific largest number are not uniform, as rolling a 6 as the largest number can happen in more scenarios (any roll where at least one die is a 6) compared to rolling a 1 (which can only happen when both dice show 1). This concept demonstrates how the frequency of possible outcomes can provide insight into the likelihood of each result when we roll two dice.

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Most popular questions from this chapter

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A company that manufactures mufflers for cars offers a lifetime warranty on its products, provided that ownership of the car does not change. Only \(20 \%\) of its mufflers are replaced under this warranty. a. In a random sample of 400 purchases, what is the approximate probability that between 75 and 100 (inclusive) mufflers are replaced under warranty? b. Among 400 randomly selected purchases, what is the approximate probability that at most 70 mufflers are replaced under warranty? c. If you were told that fewer than 50 among 400 randomly selected purchases were replaced under warranty, would you question the \(20 \%\) figure? Explain.

The size of the left upper chamber of the heart is one measure of cardiovascular health. When the upper left chamber is enlarged, the risk of heart problems is increased. The paper "Left Atrial Size Increases with Body Mass Index in Children" (International Journal of Cardiology [2009]: 1-7) described a study in which the left atrial size was measured for a large number of children ages 5 to 15 years. Based on these data, the authors concluded that for healthy children, left atrial diameter was approximately normally distributed with a mean of \(26.4 \mathrm{~mm}\) and a standard deviation of \(4.2 \mathrm{~mm}\). a. Approximately what proportion of healthy children have left atrial diameters less than \(24 \mathrm{~mm}\) ? b. Approximately what proportion of healthy children have left atrial diameters greater than \(32 \mathrm{~mm} ?\) c. Approximately what proportion of healthy children have left atrial diameters between 25 and \(30 \mathrm{~mm} ?\) d. For healthy children, what is the value for which only about \(20 \%\) have a larger left atrial diameter?

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