McGraw Hill Glencoe Algebra 1, 2012
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McGraw Hill Glencoe Algebra 1, 2012 View details
8. Probability Distributions
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Exercise 13 Page 808

Practice makes perfect
a We can see that both the die and the spinner have numbers from to as outcomes. Therefore, the possible sums obtained from rolling a die and spinning the spinner go from to Let's look at the spinner!

Looking at the figure, we can see that sections and are twice as big as the sections of the other numbers. We can see this as the regions of and having two sections in the spinner. Let's write the probabilities of the spinner landing on each section.

Outcome Probability

We know that all the outcomes of a die have a probability of Let's write the ways in which we can get every possible sum. We will write the numbers and of the spinner in and the other numbers in to distinguish them from the numbers of the die.

Sum Die Spinner
The events of rolling a die and spinning the spinner are independent. Let's find the probability of rolling a number and spinning a red number.
Similarly, let's find the probability of rolling a number and spinning a blue number.
Let's substitute these values for every combination to find the probability.
Sum Probability

We can see that a sum of is the least probable. Therefore, this event has a frequency of We can see that the numerators of the probability of each event indicates the frequency. Let's make the relative-frequency table.

Sum Frequency Probability
b Let's make a bar graph with the probabilities we found in Part A. The bar is associated with one of the sums. The height of each bar represents the probability of the event.


c Let's recall the formula for the expected value of a probability distribution.
In this formula, is an outcome and is the probability of outcome Let's substitute the values from the table of Part A into the formula to find the expected value of one spin.
d From Part A we already know each outcome and its theoretical probability. For the probability model we will use a random number generator. We will assign each integer from to to represent the probability of each outcome. Let's write an example.
Outcome Range

Each number from to has a chance of being generated. Therefore, since the outcome has a probability of we assign two numbers from the interval to this outcome. Let's write the complete table!

Outcome Range
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The trial will represent selecting a number at random. To conduct the simulation, we will use a graphing calculator. To do so, we need to push the button. Then, we will scroll to the right to the PRB menu and choose the fifth option, randInt(.

The function randInt generates random integers from to inclusive. Therefore, we will evaluate randInt Then, we will use the left and right arrow buttons to see the results.

Now we will write the frequency of our results in the table.

Outcome Range Tally
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e Let's make a graph with the results of the simulation from Part D.

This graph illustrates the experimental probability, while the graph from Part B illustrates the theoretical probability. We can see that even if the graphs differ from each other, the graph of the experimental probability shares some similarities, like having most of the trials on the left side.