1. The table shows the number of deaths in the U.S. in a year due to a variety of causes. For these questions, assume these values are not changing from year to year, and that the population of the United States is 312 million people Cause Deaths Passenger car occupant 13,100 Motorcycle driver 4,500 Tornado 553 Skydiving 56 a) What is the probability an American chosen at random will die as the result of a tornado next year?

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**Title: Understanding Risks: Analyzing Causes of Death in the U.S.**

**Introduction:**
This section explores the probability of death due to various causes in the United States, utilizing statistical data. The analysis is based on a constant population of 312 million people.

**Table: Causes of Death in the U.S.**

| Cause                   | Deaths |
|-------------------------|--------|
| Passenger car occupant  | 13,100 |
| Motorcycle driver       | 4,500  |
| Tornado                 | 553    |
| Skydiving               | 56     |

**Discussion Questions:**

*a) What is the probability an American chosen at random will die as the result of a tornado next year?*

- Consider the formula for probability: P(Event) = Number of favorable outcomes / Total number of possible outcomes.

*b) What is the probability you will die as the result of a tornado next year? Think about where you live!*

- Reflect on regional factors and historical data specific to your location.

*c) Why is this answer different than your answer to the previous question?*

- Discuss variables like geographical location and frequency of tornado events in certain areas.

*d) People sometimes claim skydiving is less dangerous than driving. Does the data support this claim?*

- Compare the number of deaths from skydiving and passenger car accidents.
- Consider how often people participate in each activity to provide context to the raw numbers.

*What additional calculations would be useful to evaluate this claim?*

- Determine the death rate per participant for both skydiving and driving.
- Analyze how many people on average skydive or drive, factoring in exposure and participation rates.

**Conclusion:**
Understanding and calculating these probabilities can help in assessing the relative risks associated with each activity, offering valuable insights into how data can inform personal and policy decisions.
Transcribed Image Text:**Title: Understanding Risks: Analyzing Causes of Death in the U.S.** **Introduction:** This section explores the probability of death due to various causes in the United States, utilizing statistical data. The analysis is based on a constant population of 312 million people. **Table: Causes of Death in the U.S.** | Cause | Deaths | |-------------------------|--------| | Passenger car occupant | 13,100 | | Motorcycle driver | 4,500 | | Tornado | 553 | | Skydiving | 56 | **Discussion Questions:** *a) What is the probability an American chosen at random will die as the result of a tornado next year?* - Consider the formula for probability: P(Event) = Number of favorable outcomes / Total number of possible outcomes. *b) What is the probability you will die as the result of a tornado next year? Think about where you live!* - Reflect on regional factors and historical data specific to your location. *c) Why is this answer different than your answer to the previous question?* - Discuss variables like geographical location and frequency of tornado events in certain areas. *d) People sometimes claim skydiving is less dangerous than driving. Does the data support this claim?* - Compare the number of deaths from skydiving and passenger car accidents. - Consider how often people participate in each activity to provide context to the raw numbers. *What additional calculations would be useful to evaluate this claim?* - Determine the death rate per participant for both skydiving and driving. - Analyze how many people on average skydive or drive, factoring in exposure and participation rates. **Conclusion:** Understanding and calculating these probabilities can help in assessing the relative risks associated with each activity, offering valuable insights into how data can inform personal and policy decisions.
1. The table shows the number of deaths in the U.S. in a year due to a variety of causes. For these questions, assume these values are not changing from year to year, and that the population of the United States is 312 million people.

| Cause                 | Deaths |
|-----------------------|--------|
| Passenger car occupant| 13,100 |
| Motorcycle driver     | 4,500  |
| Tornado               | 553    |
| Skydiving             | 56     |

a) What is the probability an American chosen at random will die as the result of a tornado next year?

b) What is the probability you will die as the result of a tornado next year? *Think about where you live!*

c) Why is this answer different than your answer to the previous question?

d) People sometimes claim skydiving is less dangerous than driving. Does the data support this claim? Explain why or why not. *Think about how many people go skydiving vs riding around in a car.* What other *information* would be helpful to clarify the claim?

What additional *calculations* would be useful to evaluate this claim?
Transcribed Image Text:1. The table shows the number of deaths in the U.S. in a year due to a variety of causes. For these questions, assume these values are not changing from year to year, and that the population of the United States is 312 million people. | Cause | Deaths | |-----------------------|--------| | Passenger car occupant| 13,100 | | Motorcycle driver | 4,500 | | Tornado | 553 | | Skydiving | 56 | a) What is the probability an American chosen at random will die as the result of a tornado next year? b) What is the probability you will die as the result of a tornado next year? *Think about where you live!* c) Why is this answer different than your answer to the previous question? d) People sometimes claim skydiving is less dangerous than driving. Does the data support this claim? Explain why or why not. *Think about how many people go skydiving vs riding around in a car.* What other *information* would be helpful to clarify the claim? What additional *calculations* would be useful to evaluate this claim?
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