/*! 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 13 According to the Statistical Abs... [FREE SOLUTION] | 91Ó°ÊÓ

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According to the Statistical Abstract of the United States (www.census.gov), there were approximately 606, 000 inmates in United States prisons in 1999 , and this was increasing by a rate of about 14, 000 per year. a) On a sheet of graph paper, make a coordinate system and plot the 1999 data as a point. Note that you will only need to graph the first quadrant of a coordinate system, since there are no data for years before 1999 and there cannot be a negative number of crimes reported. Use the given rate to find points for 2000 through 2006, and then draw a line through your data. We are constructing a continuous model for our discrete situation. b) The following table lists the number of inmates, \(\mathrm{N}\), the year, and the number of years since 1999. In 1999 , the number was 606,000 and no occurrences of the 14,000 increase had happened yet, so we fill in \(606000+14000(0)\). In 2000 , one occurrence of the 14, 000 increase had happened because one year had passed since 1999 . Therefore, the number of crimes reported was \(606000+14000(1)\). And the pattern continues in this manner. Fill in the remaining entries.

Short Answer

Expert verified
Plot the inmate data (1999-2006) using y = 606,000 + 14,000x (x = years since 1999) and connect with a line.

Step by step solution

01

Set Up the Coordinate System

Since we're working with the years from 1999 forward, our x-axis will represent the years starting from 1999, and the y-axis will represent the number of inmates. We will start plotting from the point where the x-axis is 1999, which is our first point of reference.
02

Plot Initial Data Point for 1999

For the year 1999, using the data given, plot the point (1999, 606000) on the graph. This point serves as the starting point for our data series.
03

Calculate Points for Each Year (2000 to 2006)

Using the formula for each subsequent year: \[ N = 606000 + 14000(t) \] where t is the number of years since 1999. - For 2000: \( N = 606000 + 14000(1) = 620000 \)- For 2001: \( N = 606000 + 14000(2) = 634000 \)- For 2002: \( N = 606000 + 14000(3) = 648000 \)- For 2003: \( N = 606000 + 14000(4) = 662000 \)- For 2004: \( N = 606000 + 14000(5) = 676000 \)- For 2005: \( N = 606000 + 14000(6) = 690000 \)- For 2006: \( N = 606000 + 14000(7) = 704000 \)
04

Plot Additional Data Points

Plot each calculated point on the graph. The points to plot, in order, are: (2000, 620000), (2001, 634000), (2002, 648000), (2003, 662000), (2004, 676000), (2005, 690000), and (2006, 704000).
05

Draw the Line Through the Data Points

Use a ruler to draw a straight line through all the plotted points from 1999 to 2006, which depicts the continuous increase in inmates over the years. This line represents the model we constructed for the increase rate.
06

Construct the Data Table

Set up a table with three columns labeled "Year," "Years Since 1999," and "Number of Inmates." - 1999: Years Since 1999 = 0, Inmates = 606000 - 2000: Years Since 1999 = 1, Inmates = 620000 - 2001: Years Since 1999 = 2, Inmates = 634000 - 2002: Years Since 1999 = 3, Inmates = 648000 - 2003: Years Since 1999 = 4, Inmates = 662000 - 2004: Years Since 1999 = 5, Inmates = 676000 - 2005: Years Since 1999 = 6, Inmates = 690000 - 2006: Years Since 1999 = 7, Inmates = 704000

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Key Concepts

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

Coordinate System
To solve our linear modeling problem, one of the first steps is setting up a coordinate system. A coordinate system allows us to visually represent data points on a graph, making it easier to identify patterns and relationships between variables. Here, our coordinate system has two axes: the x-axis and the y-axis.
The x-axis is used for the years, starting from 1999, and the y-axis represents the number of inmates in prisons. Since we are modeling the data after 1999, we only need to consider the first quadrant where both x and y values are positive. This setup helps us organize and simplify the visualization of our data.
By plotting points on such a graph, we can clearly see the trend over time. The coordinate system forms the foundation for further analysis and helps make our continuous model understandable.
Data Table
A data table is a valuable tool for organizing numerical information. It provides a structured way to display the relationship between different sets of data. In this case, our data table holds information about the years, the number of years since 1999, and the corresponding number of inmates.
The table consists of three columns:
  • "Year": Lists each year from 1999 to 2006.
  • "Years Since 1999": Numerical count of years since 1999, starting from 0 for 1999 up to 7 for 2006.
  • "Number of Inmates": The total inmate count calculated using the formula \( N = 606000 + 14000(t) \), where \( t \) is the number of years since 1999.
Using a data table not only helps in organizing the information but also allows us to perform quick checks and calculations. It sets a clear pathway to enter each data point into a coordinate system for plotting, which we will explore next.
Graph Plotting
Graph plotting brings the numbers from our data table to life. It is the process of marking each year and the corresponding number of inmates onto the coordinate system. To begin, you first mark the starting point for 1999 at (1999, 606000). This serves as the initial data point on the graph.
With each year from 2000 to 2006, use the inmate count calculated in the data table:
  • For 2000, plot (2000, 620000).
  • For 2001, plot (2001, 634000), and so on until 2006.
By connecting these points with a straight line, you visualize the steady increase of inmates year by year. Graph plotting not only provides a visual representation, but it also conveys trends, making changes over time more intuitive to understand.
A line on the graph makes it easy for viewers to follow the progression and offers a clear graphical illustration of how the number of inmates changes annually.
Continuous Model
A continuous model is an abstraction that helps in understanding a real-life trend through a smooth line, rather than isolated data points. The line of best fit, or a straight line, is drawn through the plotted points from 1999 to 2006.
This line represents a continuous increase in the inmate population over the given years. It assumes that changes happen uniformly over time, even though data is provided at discrete intervals.
Creating a continuous model allows us to make predictions. With the model, one could estimate inmate numbers for 2007 by extending the line. Although real data might fluctuate, a continuous model provides a simplified and clearer picture of trends.
Continuous models are essential in linear modeling, especially when analyzing long-term patterns in statistical data, and are widely used in various fields ranging from economics to social sciences.

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Most popular questions from this chapter

The Tower of Pisa in Italy has its famous lean to the south because the clay and sand ground on which it is built is softer on the south side than the north. The tilt is often found by measuring the distance that the upper part of the tower overhangs the base, indicated by h in the figure below. In 1980 , the tower had a tilt of \(\mathrm{h}=4.49 \mathrm{~m}\), and this tilt was increasing by about \(1 \mathrm{~mm} /\) year. We will investigate how the tilt of the tower changed from 1980 to \(1995 .\) a) First, note that our units do not match: The tilt in 1980 was given as \(4.49 \mathrm{~m}\), but the annual increase in the tilt is given as \(1 \mathrm{~mm} /\) year. Our first goal is to make the units the same. We will use millimeters \((\mathrm{mm})\). Convert \(4.49 \mathrm{~m}\) to \(\mathrm{mm}\). b) Get a sheet of graph paper. Since the tilt of the tower depends on the year, make the year the independent variable and place it on the horizontal axis. Let t represent the year. Make the tilt the dependent variable and place it on the vertical axis. Let h represent the tilt, measured in millimeters (mm). Choose 1980 as the first year on the horizontal axis and mark every year thereafter, until 1995 . Let the vertical axis begin at \(4.49 \mathrm{~m}\), converted to \(\mathrm{mm}\) from part (a), since that was our first measurement; and then we mark every \(1 \mathrm{~mm}\) thereafter up to \(4510 \mathrm{~mm}\). c) Think of 1980 as the starting year. Together with the tilt measurement from that year, it forms a point. What are the coordinates of this point? Plot the point on your coordinate system. d) Beginning at the first point, from part (c), move one year to the right (to 1981 ) and \(1 \mathrm{~mm}\) up (because the tilt increases) and plot a new data point. e) Each time you move one year to the right, you must move \(1 \mathrm{~mm}\) up and plot a new point. Repeat this process until you reach the year \(1995 .\) f) Keeping in mind that we are modeling this discrete situation continuously, draw a line through your data points. We can use this model to make predictions. g) According to computer simulation models, which use sophisticated mathematics, the tower would be in danger of collapsing when h reaches about \(4495 \mathrm{~mm}\). Use your graph to estimate what year this would happen. h) In reality, the tilt of the tower passed \(4495 \mathrm{~mm}\) and the tower did not collapse. In fact, the tilt increased to \(4500 \mathrm{~mm}\) before the tower was closed on January 7,1990 , to undergo renovations to decrease the tilt. (The tower was reopened in 2001, after engineers used weights and removed dirt from under the base to decrease the tilt by \(450 \mathrm{~mm}\).) What might be some reasons why the prediction of the computer model was wrong? i) The following table lists the tilt of the tower, h, the year, and the number of years since 1980 . In 1980 , the tilt was \(4490 \mathrm{~mm}\) and no occurrences of the \(1 \mathrm{~mm}\) increase had happened yet, so we fill in \(4490+0(1)=4490\). In 1981 , one occurrence of the \(1 \mathrm{~mm}\) increase had occurred because one year had passed since 1980 . Therefore, the tilt was \(4490+1\) (1). In 1982 , two occurrences of the \(1 \mathrm{~mm}\) increase had occurred, because 2 years had passed since 1980 . Thus, the tilt was \(4490+2(1)\). And the pattern continues in this manner. Fill in the remaining entries. j) Let \(x\) represent the number of years since 1980 and \(\mathrm{h}\) represent the tilt. Using the table above, write an equation that relates \(\mathrm{h}\) and \(\mathrm{x}\). k) Use your equation to predict the tilt in 1990 . Does it agree with the actual value from 1990 ? Does it agree with the value that is shown on the graph you made? l) In part (g), you used the graph to predict the year in which the tilt would be 4495mm. Use your equation to make the same prediction. Do the answers agree?

On June 16, 2006, the conversion rate from Euro to U.S. dollars was approximately \(0.8\) to 1, meaning that every \(0.8\) Euros were worth 1 U.S. dollar. a) Choosing dollars to be the independent variable and Euros to be the dependent variable, make a graph of co-ordinate system. Mark every dollar on the dollar axis and every \(0.8\) Euros on the Euro axis. Label appropriately. b) Zero dollars are worth 0 Euros. This corresponds to the point \((0,0)\). Plot it on your coordinate system. c) One dollar is worth \(0.8\) Euros. Plot this as a point on your coordinate system. d) For every dollar you move to the right, you must go up \(0.8\) Euros and plot a point. Do this until you reach \(\$ 10\). e) Draw a line through your data points. f) Use the graph to estimate how many Euros \(\$ 8\) are worth. g) Use the graph to estimate how many dollars 5 Euros are worth. h) The following table shows some values of dollars and their corresponding value in Euros. Fill in the missing entries. i) Use the table to make an equation that can be used to convert dollars to Euros. j) Use the equation from (i) to convert \(\$ 8\) to Euros. Does your answer agree with the answer from (f) that you obtained using the graph?

According to the Statistical Abstract of the United States (www.census.gov), there were approximately 31, 000 crimes reported in the United States in 1998 , and this was dropping by a rate of about 2900 per year. a) On a sheet of graph paper, make a coordinate system and plot the 1998 data as a point. Note that you will only need to graph the first quadrant of a coordinate system, since there are no data for years before 1998 and there cannot be a negative number of crimes reported. Use the given rate to find points for 1999 through 2006 , and then draw a line through your data. We are constructing a continuous model for our discrete situation. b) The following table lists the number of crimes reported, C, the year, and the number of years since 1998. In 1998 , the number was 31,000 and no occurrences of the 2900 decrease had happened yet, so we fill in \(31000-2900(0)\). In 1999 , one occurrence of the 2900 decrease had happened because one year had passed since 1998 . Therefore, the number of crimes reported was \(31000-2900(1)\). And the pattern continues in this manner. Fill in the remaining entries. c) Observing the pattern in the table, we come up with the equation \(\mathrm{C}=31000-2900 \mathrm{x}\) to relate the number of crimes \(\mathrm{C}\) to the number of years \(\mathrm{x}\) after 1998 . Here, \(\mathrm{C}\) is a function of \(\mathrm{x}\), and so we can use the notation \(\mathrm{C}(\mathrm{x})=31000-2900 \mathrm{x}\) to emphasize this. i. Compute C(5). ii. In a complete sentence, explain what C(5) represents. iii. Compute C(8). iv. In a complete sentence, explain what \(\mathrm{C}(8)\) represents.

Jodiah is saving his money to buy a Playstation 3 gaming system. He estimates that he will need \(950 to buy the unit itself, accessories, and a few games. He has \)600 saved right now, and he can reasonably put \(60 into his savings at the end of each month. Since the amount of money saved depends on how many months have passed, choose time, in months, as your independent variable and place it on the horizontal axis. Let t represent the number of months passed, and make a mark for every month. Choose money saved, in dollars, as your dependent variable and place it on the vertical axis. Let A represent the amount saved in dollars. Since Jodiah saves \)60 each month, it will be convenient to let each box represent \(60. Copy the following coordinate system onto a sheet of graph paper. a) At month 0, Jodiah has \)600 saved. This corresponds to the point (0, 600). Plot this point on your coordinate system. b) For the next month, he saved \(60 more. Beginning at point (0, 600), move 1 month to the right and \)60 up and plot a new data point. What are the coordinates of this point? c) Each time you go right 1 month, you must go up by $60 and plot a new data point. Repeat this process until you reach the edge of the coordinate system. d) Keeping in mind that we are modeling this discrete situation continuously, draw a line through your data points. e) Use your graph to estimate how much money Jodiah will have saved after 7 months. f) Using your graph, estimate how many months it will take him to have saved up enough money to buy his gaming system, accessories, and games.

On network television, a typical hour of programming contains 15 minutes of commercials and advertisements and 45 minutes of the program itself. a) Choose amount of television watched as your independent variable and place it on the horizontal axis. Let T represent the amount of television watched, in hours. Choose total amount of commercials/ads watched as your dependent variable and place it on the vertical axis. Let \(\mathrm{C}\) represent the total amount of commercials/ads watched, in minutes. Using a sheet of graph paper, make a sketch of a coordinate system and label appropriately. b) For 0 hours of programming watched, 0 minutes of commercials have been watched. To what point does this correspond? Plot it on your coordinate system. c) After watching 1 hour of program-ming, 15 minutes of commercials/ads have been watched. Beginning at the previous point, move 1 hour to the right and 15 minutes up. Plot this point. What are its coordinates? d) Each time you go 1 hour to the right, you must move 15 minutes up and plot a point. Continue doing this until you reach 5 hours of programming. e) Draw a line through your data points. f) Billy watches TV for five hours on Monday. Use the graph to determine how many minutes of commercials he has watched during this time. g) Suppose a person has watched one hour of commercials/ads. Use the graph to estimate how many hours of television he watched. h) The following table shows numbers of hours of programming watched as it relates to number of minutes of commercials/ads watched. For 0 hours of TV, 0 minutes of commercials/ads are watched. For each hour of TV watched, we must count 15 minutes of commercials/ads. So, for 1 hour, \(0+15(1)\) minutes of commercials are watched. For 2 hours, \(0+15(2)\) minutes; and so on. Fill in the missing entries. i) Express the amount of commercials/ads watched, C, as a function of the amount of television watched T. Use your equation to predict the amount of commercials/ads watched for 5 hours of television programming. Does this answer agree with your estimate from part (f)?

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