/*! 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 26 The accompanying table gives the... [FREE SOLUTION] | 91Ó°ÊÓ

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The accompanying table gives the population of the six U.S. states with the largest populations in 2008 and the area of these states. (Source: www.infoplease.com) $$\begin{array}{|l|l|l|} \hline \text { State } & \text { Population } & \text { Area (square miles) } \\\ \hline \text { Pennsylvania } & 12,448,279 & 44,817 \\ \hline \text { Illinois } & 12,901,563 & 55,584 \\ \hline \text { Florida } & 18,328,340 & 53,927 \\ \hline \text { New York } & 19,490,297 & 47,214 \\ \hline \text { Texas } & 24,326,974 & 261,797 \\ \hline \text { California } & 36,756,666 & 155,959\\\ \hline \end{array}$$ a. Determine and report the rankings of the population density by dividing each population by the number of square miles to get the population density (in people per square mile). Use rank 1 for the highest density. b. If you wanted to live in the state (of these \(\operatorname{six}\) ) with the lowest population density, which would you choose? c. It you wanted to live in the state (of these six) with the highest population density, which would you choose?

Short Answer

Expert verified
a. The rankings from highest to lowest population densities are: New York (1), Florida (2), California (3), Pennsylvania (4), Illinois (5), Texas (6). b. The state with the lowest population density is Texas. c. The state with the highest population density is New York.

Step by step solution

01

Calculate Population Density

Population density can be calculated using the formula \(Population Density = \frac{Population}{Area}\). Apply this formula for each state.
02

Ranking by Population Density

After finding the population densities, rank them. The state with the highest density gets a rank of 1. The state with the second highest density gets rank 2 and so on.
03

Identify Lowest and Highest Densities

From the ranked list, it can be determined which state has the lowest and highest population densities.

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Key Concepts

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

Population Density Calculation
Understanding how to calculate population density is essential for geographic and social analyses. Simply put, population density measures how crowded an area is. The formula to calculate population density is as follows:
\[Population Density = \frac{Population}{Area}\]
In this formula, 'Population' refers to the total number of people living in a specific area, and 'Area' is the size of the land measured in square miles (or square kilometers) where these people reside.
For example, if a state has a population of 5 million people and covers an area of 50,000 square miles, the population density would be 100 people per square mile. This is a straightforward calculation, but it's crucial when comparing different locations or considering the impact of human activity on the environment. Remember, high density might indicate urbanization and economic activity, whereas low density could suggest rural or wilderness areas.
Ranking by Population Density
Once we've calculated the population densities for various areas, we can begin ranking them to get a sense of how they compare to one another. High population densities often point to urban areas with many people living in a small space, which can affect resources, housing, transportation, and quality of life. Ranking by population density is simply ordering locations from the highest to lowest based on their density values.
In educational exercises and real-life scenarios, this ranking can provide insights into urban planning, resource allocation, and even political representation. In our exercise, New York would rank 1 for having the highest population density, and Texas, with its vast land area and relatively smaller population, would have the lowest ranking among the six states listed.
Comparing Geographic Data
Comparing geographic data like population densities between different areas allows individuals and authorities to make informed decisions about various aspects of life and governance. When looking at states like Pennsylvania, Illinois, Florida, New York, Texas, and California, we see a rich tapestry of various population sizes and land areas. This comparison informs about urban development, infrastructure needs, and environmental challenges.
By conducting a comparative analysis, we gain more than just numbers; we learn about the distribution of people in relation to their physical space, which can influence social dynamics, local economies, and legislative concerns. Comparing geographical data aids not just in academic exercises but also in shaping the policies that affect the day-to-day lives of people residing in these areas. It is also invaluable for planning purposes, from developing public transportation networks to environmental preservation efforts.

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Most popular questions from this chapter

In 2008 , the National Highway Traffic Safety Administration reported that the number of pedestrian fatalities in Miami-Dade County, Florida, was 65 and that the number in Hillsborough County, Florida, was \(45 .\) Can we conclude that pedestrians are safer in Hillsborough County? Why or why not?

Older Siblings (Example 3) At a small four-year college, some psychology students were asked whether or not they had at least one older sibling. The table shows the results for men and women and shows some of the totals. \(\begin{array}{|lccc|} \hline & \text { Men } & \text { Women } & \text { Total } \\ \hline \text { Yes, Older S } & 12 & 55 & ? \\ \hline \text { No Older S } & 11 & 39 & 50 \\ \hline & 23 & ? & 117 \\ \hline \end{array}\) a. Calculate the totals that are not shown, and report them in the table. b. What percentage of the men had an older sibling? c. What percentage of the men did not have an older sibling? d. What percentage of the women had an older sibling? e. What percentage of the people had an older sibling? f. What percentage of the people with an older sibling were women? g. Suppose that in a group of 600 women, the percentage who have an older sibling is the same as in the sample here. How many of the 600 women would have an older sibling?

Favorite Subject At a high school, a few eighth grade students were asked which subject they liked more: mathematics or science. The table shows the results for boys and girls. \(\begin{array}{lccc} & \text { Boys } & \text { Girls } & \text { Total } \\ \hline \text { Mathematics } & 55 & 52 & ? \\ \hline \text { Science } & 67 & 75 & 142 \\ \hline \text { Total } & ? & 127 & ? \\ \hline \end{array}\) a. Figure out the missing totals, and report them in your table. b. What percentage of the boys liked mathematics? c. What percentage of the boys liked science? d. What percentage of the girls liked mathematics? e. What percentage of the students liked science? f. What percentage of the students who liked science were girls? g. What percentage of the students who liked mathematics were boys? h. Suppose that in a group of 800 girls, the percentage who like science is the same as in the sample here. How many of the 800 girls would like science?

Coffee and Prostate Cancer The September 2011 issue of the Berkeley Wellness Letter said that coffee reduces the chance of prostate cancer. A study of 48,000 male health care professionals showed that those consuming the most coffee (six or more cups per day) had a \(60 \%\) reduced risk of developing advanced prostate cancer. Does this mean that a man can reduce his chance of developing prostate cancer by increasing the amount of coffee he drinks?

Effects of Light Exposure (Example 9) A study carried out by Baturin and colleagues looked at the effects of light on female mice. Fifty mice were randomly assigned to a regimen of 12 hours of light and 12 hours of dark (LD), while another fifty mice were assigned to 24 hours of light (LL). Researchers observed the mice for two years, beginning when the mice were two months old. Four of the LD mice and 14 of the LL mice developed tumors. The accompanying table summarizes the data. (Source: Baturin et al., The effect of light regimen and melatonin on the development of spontaneous mammary tumors in mice, Neuroendocrinology Letters, 2001) $$\begin{array}{lcc} & \text { LD } & \text { LL } \\ \text { Tumors } & 4 & 14 \\ \hline \text { No tumors } & 46 & 36 \end{array}$$ a. Determine the percentage of mice that developed tumors from each group (LL and LD). Compare them and comment. b. Was this a controlled experiment or an observational study? How do you know? c. Can we conclude that light for 24 hours a day causes an increase in tumors in mice? Why or why not?

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