/*! 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 106 "Sustainability" is quite the bu... [FREE SOLUTION] | 91Ó°ÊÓ

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"Sustainability" is quite the buzzword for environmentalists. When they think about sustainability, the word that typically comes to mind for most Americans is "recycling." A May 2008 Harris Poll of 2602 U.S. adults surveyed online asked the question: "Have you heard the phrase 'environmental sustainability' used?" The percentage of adults who answered " Yes" for each age group was reported as follows: $$\begin{array}{lcccc}\hline \text { Age Group } & 18-31 & 32-43 & 44-62 & 63+ \\\\\text { Percent } & 46 \% & 47 \% & 42 \% & 30 \% \\\\\hline\end{array}$$ Is this a probability distribution? Explain.

Short Answer

Expert verified
No, the given data is not a probability distribution because the sum of the percentages exceeds 100%.

Step by step solution

01

Check if Every Given Percentage Falls between 0% and 100%

From the exercise, the provided percentages for the age ranges 18-31, 32-43, 44-62, and 63+ are 46%, 47%, 42%, and 30% respectively. As each of these is between 0% and 100%, the first condition is fulfilled.
02

Sum All Percentages

To verify the second condition, the provided percentages need to be summed up. Adding up the given percentages yields \(46\% + 47\% + 42\% + 30\% = 165%\)
03

Comparing the Sum to 100%

The sum obtained is 165%, which doesn't equal 100%. This means that the second condition for a probability distribution is not fulfilled.

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Key Concepts

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

Environmental Sustainability
The concept of environmental sustainability is pivotal in today's discourse, especially given the challenges posed by climate change and environmental degradation. At its core, environmental sustainability focuses on meeting the needs of the present without compromising the ability of future generations to meet their needs. It encompasses a wide range of practices, including but not limited to recycling, reducing carbon emissions, conserving water, and maintaining biodiversity.

In the context of the statistical survey cited in the textbook exercise, individuals are questioned about their awareness of environmental sustainability. Understanding public awareness is a fundamental step in promoting sustainable practices. A higher percentage of informed individuals can potentially lead to more collective action and improved outcomes for environmental protection efforts. Teachers and educational platforms may encourage students to engage in local sustainability initiatives, fostering practical understanding and responsibility among the youth.
Statistical Survey Analysis
Statistical survey analysis involves collecting, summarizing, and interpreting data to make informed decisions. The Harris Poll mentioned in our textbook exercise is an example of a statistical survey where a sample of the population is asked about their knowledge on environmental sustainability. Respondents are stratified into age groups to provide insights into the distribution of awareness across different demographics.

Surveys like the one described are instrumental in research and policy-making as they help to capture public opinion and social trends. However, the way data is analyzed and presented is crucial. Accuracy, representation of the sample size, and the question's phrasing can all influence the outcome and interpretation of the survey. It is important for students to grasp these concepts to critically assess the reliability of the survey data they encounter in their academic and professional lives.
Probability Theory
Probability theory is a branch of mathematics concerned with quantifying the likelihood of events occurring. It is fundamental to many fields, including statistics, finance, science, and even philosophy. The theory operates on the premise that probability values range from 0 to 1, or, when expressed as percentages, from 0% to 100%. These values represent the extent of certainty that a specific event will happen, where 0% equates to impossibility, and 100% signifies certainty.

In the context of the exercise, the percentages represent the proportion of the surveyed population that has heard of the phrase 'environmental sustainability.' To be classified as a probability distribution, the percentages across all groups should sum up to 100%, indicating that they encompass the entire sample space. However, as the exercise reveals, their sum exceeds 100%, indicating that the data, as presented, does not represent a valid probability distribution. Understanding this is crucial for students to correctly interpret data and assess its implications in a real-world scenario.

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Most popular questions from this chapter

Above-average hot weather extended over the northwest on August \(3,2009 .\) The day's forecasted high temperatures in four cities in the affected area were: $$\begin{array}{lc} \text { City } & \text { Temperature } \\ \hline \text { Boise, } 1 \mathrm{D} & 100^{\circ} \\ \text { Spokane, WA } & 95^{\circ} \\\ \text { Portland, OR } & 91^{\circ} \\ \text { Helena, } \mathrm{MT} & 91^{\circ} \\ \hline \end{array}$$ a. What is the random variable involved in this study? b. Is the random variable discrete or continuous? Explain.

A carton containing 100 T-shirts is inspected. Each T-shirt is rated "first quality" or "irregular." After all 100 T-shirts have been inspected, the number of irregulars is reported as a random variable. Explain why \(x\) is a binomial random variable.

"How many TVs are there in your household?" was one of the questions on a questionnaire sent to 5000 people in Japan. The collected data resulted in the following distribution: $$\begin{array}{l|cccccc}\hline \text { Number of TVs/Household } & 0 & 1 & 2 & 3 & 4 & 5 \text { or more } \\\\\text { Percentage } & 1.9 & 31.4 & 23.0 & 24.4 & 13.0 & 6.3 \\\\\hline\end{array}$$ a. What percentage of the households have at least one television? b. What percentage of the households have at most three televisions? c. What percentage of the households have three or more televisions? d. Is this a binomial probability experiment? Justify your answer. e. Let \(x\) be the number of televisions per household. Is this a probability distribution? Explain. f. Assign \(x=5\) for "5 or more" and find the mean and standard deviation of \(x.\)

Can playing video games as a child and teenager lead to a gambling or substance addiction? According to the April \(11,2009, U S A\) Today article "Kids show addiction symptoms," research published in the Journal Psychological Science found that \(8.5 \%\) of video-gameplaying children and teens displayed behavioral signs that may indicate addiction. Suppose a randomly selected group of 30 video-gaming eighth-grade students is selected. a. What is the probability that exactly 2 will display addiction symptoms? b. If the study also indicated that \(12 \%\) of videogaming boys display addiction symptoms, what is the probability that exactly 2 out of the 17 boys in the group will display addiction symptoms? c. If the study also indicated that \(3 \%\) of video-gaming girls display addiction symptoms, what is the probability that exactly 2 out of the 13 girls in the group will display addiction symptoms?

a. Use a computer (or random number table) and generate a random sample of 100 observations drawn from the discrete probability population \(P(x)=\frac{5-x}{10},\) for \(x=1,2,3,4 .\) List the resulting sample. (Use the computer commands in Exercise \(5.36 ;\) just change the arguments. b. Form a relative frequency distribution of the random data. c. Form a probability distribution of the expected probability distribution. Compare the resulting data with your expectations. d. Construct a probability histogram of the given distribution and a relative frequency histogram of the observed data using class midpoints of \(1,2,3,\) and 4. e. Compare the observed data with the theoretical distribution. Describe your conclusions. f. Repeat parts a-d several times with \(n=100\) Describe the variability you observe between samples.

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