Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Researchers examined all sports-related concussions reported to an emergency room for children ages 5 to 18 in the United States over the course of one year. \({ }^{11}\) Table 2.7 displays the number of concussions in each of the major activity categories. (a) Are these results from a population or a sample? (b) What proportion of concussions came from playing football? (c) What proportion of concussions came from riding bicycles? (d) Can we conclude that, at least in terms of concussions, riding bicycles is more dangerous to children in the US than playing football? Why or why not? $$\begin{array}{l|r}\hline \text { Activity } & \text { Frequency } \\ \hline \text { Bicycles } & 23,405 \\ \text { Football } & 20,293 \\\\\text { Basketball } & 11,507 \\ \text { Playground } & 10,414 \\\\\text { Soccer } & 7,667 \\\\\text { Baseball } & 7,433 \\\\\text { All-Terrain Vehicle } & 5,220 \\\\\text { Hockey } & 4,111 \\\\\text { Skateboarding } & 4,408 \\\\\text { Swimming } & 3,846 \\\\\text { Horseback Riding } & 2,648 \\ \hline \text { Total } & 100,952 \\\\\hline\end{array}$$

Short Answer

Expert verified
(a) Population. (b) 0.201. (c) 0.232 . (d) No, because the proportion of concussions alone does not consider other important factors.

Step by step solution

01

Identify Population or Sample

The results contain sports-related concussions from throughout the United States for children ages 5 to 18 over the course of an entire year. Thus, these results represent a population.
02

Compute The Proportion of Concussions from Football

The proportion of concussions from football can be found by dividing the frequency of football concussions, 20293, by the total number of concussions, 100952. Therefore, the proportion is \(\frac{20293}{100952} = 0.201.\)
03

Compute The Proportion of Concussions from Bicycles

The proportion of concussions from riding bicycles is computed by dividing the frequency of bicycle concussions by the total number of concussions. Therefore, the proportion is \(\frac{23405}{100952} = 0.232.\)
04

Compare Risks from Football and Bicycles

Although bicycle-related concussions account for a higher proportion of total concussions (0.232) than football-related concussions (0.201), we cannot conclude that riding bicycles is more dangerous than playing football. This is because the proportion alone does not take into account other variables such as the number of children participating in each activity, duration of their participation, and the nature of each activity.

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 Vaia!

Key Concepts

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

Population vs Sample
When conducting a study in statistics, it's crucial to understand the difference between a 'population' and a 'sample'.

A population comprises all members of a specified group, while a sample is a subset of the population that is used to represent the entire group. In the context of our exercise, the researchers are looking at the entirety of sports-related concussions reported to an emergency room for a specific age group in the United States, over the course of one year. Since the data encompasses all events meeting the criteria nationwide for that period, it's representative of a population rather than a sample.

When a population is too large to measure every single member, researchers take a sample. The importance of this distinction lies in how the results are generalized. Results from a population can tell us about the entire group with certainty, while results from a sample can only provide estimates with a certain level of confidence.
Concussion Proportion Calculation
To understand the impact of different activities on sports-related concussions, we must calculate the proportion of concussions resulting from each activity. The proportion is a type of ratio that represents a part of a whole.

The formula to calculate the proportion of concussions from a specific activity is \[\begin{equation}Proportion = \frac{Number\ of\ Concussions \ from\ Activity}{Total\ Number\ of\ Concussions}\end{equation}\]

In the exercise, we're given the numbers for both football and bicycles. To get the proportion of football-related concussions, divide the number of football concussions (20,293) by the total number of concussions (100,952), which gives us a proportion of approximately 0.201. Similarly, for bicycle-related concussions, divide 23,405 by 100,952 to get a proportion of about 0.232. These calculations help us understand the relative frequency of concussions from these activities within the context of the total data set.
Conducting Statistical Comparisons
Interpreting statistical data properly is a vital skill, especially when attempting to compare risks between activities as in our exercise.

To determine if one activity is more dangerous than another, merely comparing the proportions of concussions isn't enough. This is because proportions don't account for variables such as exposure time, the number of participants, and the intensity of the activity.

For a more accurate comparison, researchers need to conduct a statistical test that incorporates these factors. For instance, injury rates might be standardized per a certain number of hours of activity or participant. If the data shows that per 1,000 hours of participation, a higher rate of concussions is reported for bicycling than football, we might then consider bicycling to be more dangerous with respect to concussions.

Additionally, statistical comparisons must consider the possibility of confounding variables and biases. Researchers often use control groups and multiple variables to ensure that the conclusions drawn are as accurate as possible.

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

Use data on college students collected from the American College Health Association-National College Health Assessment survey \(^{18}\) conducted in Fall 2011 . The survey was administered at 44 colleges and universities representing a broad assortment of types of schools and representing all major regions of the country. At each school, the survey was administered to either all students or a random sample of students, and more than 27,000 students participated in the survey. Students in the ACHA-NCHA survey were asked, "Within the last 12 months, have you been in a relationship (meaning an intimate/coupled/partnered relationship) that was emotionally abusive?" The results are given in Table 2.12 . (a) What percent of all respondents have been in an emotionally abusive relationship? (b) What percent of the people who have been in an emotionally abusive relationship are male? (c) What percent of males have been in an emotionally abusive relationship? (d) What percent of females have been in an emotionally abusive relationship? Table 2.12 Have you been in an emotionally abusive relationship? $$\begin{array}{l|rr|r} \hline & \text { Male } & \text { Female } & \text { Total } \\ \hline \text { No } & 8352 & 16,276 & 24,628 \\ \text { Yes } & 593 & 2034 & 2627 \\ \hline \text { Total } & 8945 & 18,310 & 27,255 \\ \hline\end{array}$$

Marriage Age vs Number of Children Using the Gapminder software (https://www.gapminder .org/tools), set the vertical axis to Age at 1st marriage (women) and the horizontal axis to Babies per woman. This scatterplot shows the mean age at which woman marry, and the mean number of children they have, for various countries. Click the play icon and observe how the scatterplot changes over time, then answer the following questions: (a) Overall, is there a positive or negative association between \(A\) ge at 1 st marriage and Babies per woman? (b) Describe what happens to the number of babies per woman, and age at 1 st marriage, between 1941 and 1943 in Russia (at the height of World War II). (c) Describe what happens to the number of babies per woman, and the age at 1st marriage, in Libya from 1973 to 2005 .

In order for a vaccine to be effective, it should reduce a person's chance of acquiring a disease. Consider a hypothetical vaccine for malaria-a tropical disease that kills between 1.5 and 2.7 million people every year. \(^{20}\) Suppose the vaccine is tested with 500 volunteers in a village who are malaria free at the beginning of the trial. Two hundred of the volunteers will get the experimental vaccine and the rest will not be vaccinated. Suppose that the chance of contracting malaria is \(10 \%\) for those who are not vaccinated. Construct a two-way table to show the results of the experiment if: (a) The vaccine has no effect. (b) The vaccine cuts the risk of contracting malaria in half.

The Wind Map The website hint.fm/wind/ shows the current wind patterns across the US. In order to generate this map, what two variables are being recorded at weather stations across the US?

Does pre-season success indicate regular season success in the US National Football League? We looked at the number of preseason wins and regular season wins for all 32 NFL teams over a 10 -year span. (a) What would a positive association imply about the relationship between pre-season and regular season success in the NFL? What would a negative association imply? (b) The correlation between these two variables is \(r=0.067\). What does this correlation tell you about the strength of a linear relationship between these two variables?

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.

Sign-up for free