/*! 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 16 Researchers examined all sports-... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

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 91Ó°ÊÓ!

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

Exercises 2.137 to 2.140 each describe a sample. The information given includes the five number summary, the sample size, and the largest and smallest data values in the tails of the distribution. In each case: (a) Clearly identify any outliers, using the IQR method. (b) Draw a boxplot. Five number summary: \((210,260,270,300,\) 320)\(; n=500\) Tails: \(210,215,217,221,225, \ldots, 318,319,319,319,\) 320,320

Daily Calorie Consumption The five number summary for daily calorie consumption for the \(n=315\) participants in the NutritionStudy is \((445,\) 1334,1667,2106,6662) (a) Give the range and the IQR. (b) Which of the following numbers is most likely to be the mean of this dataset? Explain. $$ \begin{array}{llll} 1550 & 1667 & 1796 & 3605 \end{array} $$ (c) Which of the following numbers is most likely to be the standard deviation of this dataset? Explain. \(\begin{array}{lllll}5.72 & 158 & 680 & 1897 & 5315\end{array}\)

A somewhat surprising fact about coffee is that the longer it is roasted, the less caffeine it has. Thus an "extra bold" dark roast coffee actually has less caffeine than a light roast coffee. What is the explanatory variable and what is the response variable? Do the two variables have a negative association or a positive association?

Indicate whether the five number summary corresponds most likely to a distribution that is skewed to the left, skewed to the right, or symmetric. (22.4,30.1,36.3,42.5,50.7)

2Does Sexual Frustration Increase the Desire for Alcohol? Apparently, sexual frustration increases the desire for alcohol, at least in fruit flies. Scientists \(^{35}\) randomly put 24 fruit flies into one of two situations. The 12 fruit flies in the "mating" group were allowed to mate freely with many available females eager to mate. The 12 in the "rejected" group were put with females that had already mated and thus rejected any courtship advances. After four days of either freely mating or constant rejection, the fruit flies spent three days with unlimited access to both normal fruit fly food and the same food soaked in alcohol. The percent of time each fly chose the alcoholic food was measured. The fruit flies that had freely mated chose the two types of food about equally often, choosing the alcohol variety on average \(47 \%\) of the time. The rejected males, however, showed a strong preference for the food soaked in alcohol, selecting it on average \(73 \%\) of the time. (The study was designed to study a chemical in the brain called neuropeptide that might play a role in addiction.) (a) Is this an experiment or an observational study? (b) What are the cases in this study? What are the variables? Which is the explanatory variable and which is the response variable? (c) We are interested in the difference in means, where the means measure the average percent preference for alcohol \((0.47\) and 0.73 in this case). Find the difference in means and give the correct notation for your answer, using the correct notation for a mean, subscripts to identify groups, and a minus sign. (d) Can we conclude that rejection increases a male fruit fly's desire for alcohol? Explain.

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.