/*! 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 38 In 2015, the National Highway Tr... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

In 2015, the National Highway Traffic Safety Administration reported the number of pedestrian fatalities in San Francisco County was 24 and that the number in Los Angeles County was 209. Can we conclude that pedestrians are safer in San Francisco than in Los Angeles? Why or why not? If you answered no, what additional data would allow us to make a conclusion about which county is safer for pedestrians? (Source: https://cdan.nhtsa.gov)

Short Answer

Expert verified
No, we cannot conclude that pedestrians are safer in San Francisco than in Los Angeles based simply on the number of pedestrian fatalities. To compare safety, we need relative rates, such as number of pedestrian fatalities per 10,000 persons, which requires knowing the population of each county.

Step by step solution

01

Analyze the presented data

The raw data presented shows that in 2015, there were 24 pedestrian fatalities in San Francisco County, and 209 in Los Angeles County.
02

Understand the question

Now, the key question is whether pedestrians are safer in San Francisco than in Los Angeles based on these raw numbers.
03

Consider missing information

To answer this question appropriately, additional information is necessary. The total population of each County need to be known to effectively determine the fatality rate. A smaller number of fatalities doesn't necessarily equate to a lower fatality rate if the population size is significantly smaller.
04

Identify the required data

If the populations can be obtained, then a fair comparison would involve calculating the number of pedestrian fatalities per person (or per 1000 or 10000 persons for easier reading) in each County.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

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

Data Analysis
When we talk about data analysis, we're discussing the techniques used to make sense of gathered data. In this case, we're looking at pedestrian fatality numbers from two counties. When analyzing such data, it's important to consider:
  • The context in which the data was collected, such as the year and location.
  • The raw numbers, while informative, do not always tell the whole story.
  • Additional variables that could influence the interpretation, like population size or environmental factors.
Given the case of San Francisco and Los Angeles, data analysis requires looking beyond just the number of fatalities. It involves understanding the broader implications and influences on those numbers. Only then can meaningful conclusions be drawn and comparisons be made.
Fatality Rates
Fatality rates provide a more accurate comparison than raw fatality numbers. They show the number of fatalities relative to the population size. The formula used to calculate the fatality rate is:\[\text{Fatality Rate} = \frac{\text{Number of Fatalities}}{\text{Population Size}} \times 100,000\]This calculation gives you the number of fatalities per 100,000 people. By converting the raw fatality numbers to rates, you gain a clearer view of the actual safety conditions in each area. Comparing fatality rates, rather than raw numbers, helps avoid misleading conclusions that might arise from differences in population size. For instance, a higher number of fatalities in a county with a larger population may actually signify a lower fatality rate compared to a smaller county with fewer fatalities.
Population Data
Population data is crucial for calculating fatality rates. It refers to the total number of people living in a specific area. Without this information, you cannot accurately compare the safety of San Francisco to Los Angeles, regardless of pedestrian fatalities.
  • Population data should be as current and accurate as possible.
  • It's important to obtain reliable sources, such as census or government reports.
  • Population size is a dynamic factor; always ensure you have data corresponding to the time when fatalities were recorded.
Gathering the population data and aligning it with fatality numbers opens the door to effective data analysis, leading to more realistic and practical conclusions.
NHTSA Report
The NHTSA, or National Highway Traffic Safety Administration, is a key source of traffic safety information, including pedestrian fatality reports. Their data helps provide insight into national and local safety trends. Understanding these reports involves:
  • Recognizing their role in tracking and improving traffic and pedestrian safety.
  • Utilizing their data to identify high-risk areas and patterns.
  • Examining these reports to guide policy makers and the public in implementing safety measures.
NHTSA reports serve as a basis for making data-driven decisions. They can inform safety campaigns and legislative changes to improve pedestrian safety and reduce fatalities.
Pedestrian Safety
Pedestrian safety refers to efforts made to protect people walking in traffic environments. It involves assessing risk factors and implementing measures to minimize accidents. Considerations for pedestrian safety include:
  • Infrastructure improvements, like crosswalks and traffic lights.
  • Education campaigns to enhance awareness among drivers and pedestrians.
  • Legislation aimed at enforcing safe driving practices.
By understanding pedestrian fatality data and analyzing it properly, measures can be taken to increase safety. The goal is to create environments where pedestrians can walk without fear of accidents, contributing to overall traffic safety and urban livability.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Suppose a surfer wanted to learn if surfing during a certain time of day made one less likely to be attacked by a shark. Using the Shark Attacks Worldwide data set, which variables could the surfer use in order to answer this question?

A student did a survey on the age of marriage for married male and female students. \begin{tabular}{|c|c|} \hline Men & Women \\ \hline 29 & 24 \\ \hline 23 & 24 \\ \hline 30 & 32 \\ \hline 32 & 35 \\ \hline 25 & 23 \\ \hline \end{tabular} a. Is the format of the data set stacked or unstacked? b. If you answered "stacked" then unstack the data into two columns. If you answered "unstacked" then stack the data into one column; choose an appropriate name for the stacked variable and use coding. c. There are two variables here: Gender and Age. Which of them is numerical, and which is categorical?

An article in the Journal of the Academy of Nutrition and Dietetics reported on a study of diet in subjects with moderate to severe acne. Read the excerpts from the abstract and answer the questions that follow. (Source: Burris et al. "Differences in dietary glycemic load and hormones in New York City adults with no or moderate/severe acne," Journal of the Academy of Nutrition and Dietetics, vol. 117 \([\) September 2017\(]: 1375-1383\) ) Methods: Sixty-four participants (no acne, \(\mathrm{n}=32\); moderate/severe acne, \(n=32\) ) were included in this study. Participants completed a 5-day food record, had blood drawn and completed a questionnaire to evaluate food- aggravated acne beliefs and acne-specific quality of life. Results: Participants with moderate/severe acne consumed greater total carbohydrate compared to participants without acne. Participants with moderate/severe acne had greater insulin compared to participants without acne. Although there were no differences between groups, \(61 \%\) of participants reported food-influenced acne. a. Was this a controlled experiment or an observational study? Explain how you know. b. Assuming the study was properly conducted, can we conclude that higher consumption of carbohydrates causes more severe acne? Explain.

The accompanying table gives the 2018 population and area (in square kilometers) of five U.S. cities. See page 39 for guidance. (Source: www.citymayors.com). \begin{tabular}{|l|c|c|} \hline City & Population & Area (square km) \\ \hline Miami & \(4,919,000\) & 2891 \\ \hline Detroit & \(3,903,000\) & 3267 \\ \hline Atlanta & \(3,500,000\) & 5083 \\ \hline Seattle & \(2,712,000\) & 1768 \\ \hline Baltimore & \(2,076,000\) & 1768 \\ \hline \end{tabular} a. Determine and report the ranking of the population density (people per square kilometer) by dividing the population of each city by its area. Use rank 1 for the highest density. b. If you wanted to live in the city (of these six) with the lowest population density, which would you choose? c. If you wanted to live in the city (of these six) with the highest population density, which would you choose?

The 2017 World Almanac and Book of Facts reported that in \(2016, \mathrm{M\&Ms}\) had sales of approximately \(\$ 3.48\) million and that this accounted for \(12.95 \%\) of the total chocolate candy sales. What was the total amount of chocolate candy sales?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.