Under the Americans with Disabilities Act, accommodation is required in _____. a. the work itself b. the work environment c. benefits and privileges associated with the work

On the given duration and the expected increase in interest rates, the predicted price change on the bond is approximately -1.68%.

To estimate the predicted price change on a bond given a change in interest rates, you can use the concept of bond duration. Bond duration measures the sensitivity of a bond's price to changes in interest rates.

In this case, you own a bond with a duration of 6 years, and you expect the interest rates to increase by 30 basis points (0.30%). To calculate the approximate percentage change in bond price, you can use the following formula:

Percentage Change in Bond Price [tex]^\sim_\sim[/tex] - (Modified Duration × Change in Interest Rates)

Modified Duration is calculated as:

Modified Duration = Duration / (1 + Yield)

Here, the Yield refers to the yield to maturity (YTM) of the bond, which is equivalent to the interest rate in this case.

Let's assume the bond's yield to maturity is 7% (0.07). Now we can calculate the modified duration and the predicted price change:

Modified Duration = 6 years / (1 + 0.07) = 5.6075

Percentage Change in Bond Price [tex]^\sim_\sim[/tex] - (5.6075 × 0.0030) [tex]^\sim_\sim[/tex] -0.0168 or approximately -1.68%

Therefore, based on the given duration and the expected increase in interest rates, the predicted price change on the bond is approximately -1.68%. Note that this is an estimation, and actual price changes may depend on various other factors and market conditions.

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The approach that is only as good as the assumptions regarding the stiffness or shear walls and diaphragms relative to the actual stiffness of a complete building system is the simplified or approximate method.

In structural engineering, when analyzing the behavior and response of a building system to external loads, two commonly used methods are the approximate method and the more rigorous method, such as finite element analysis. The approximate method simplifies the structural analysis by making certain assumptions and approximations to facilitate calculations. However, these assumptions can introduce uncertainties and limitations in accurately predicting the behavior of the building system. One critical assumption in the approximate method is the distribution of stiffness within the building system, particularly in terms of shear walls and diaphragms. The accuracy of the results heavily relies on how well these assumed stiffness values represent the actual stiffness of the complete building system. If the assumptions regarding the stiffness or shear walls and diaphragms significantly deviate from the actual behavior, the results obtained from the approximate method may be less reliable and less representative of the true response of the structure. Therefore, the accuracy of the approach is highly dependent on the assumptions made regarding the stiffness distribution within the building system.

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Answer:  Bottom left corner

[tex]f^{-1}(x) = \frac{-9x-7}{x+6}\\\\[/tex]

=======================================

Work Shown:

[tex]f(x) = \frac{-6x-7}{x+9}\\\\y = \frac{-6x-7}{x+9}\\\\x = \frac{-6y-7}{y+9}\\\\x(y+9) = -6y-7\\\\[/tex]

[tex]xy+9x = -6y-7\\\\xy+6y = -7-9x\\\\y(x+6) = -9x-7\\\\y = \frac{-9x-7}{x+6}\\\\f^{-1}(x) = \frac{-9x-7}{x+6}\\\\[/tex]

Explanation:

I swapped x and y. Then I solved for y to get the inverse.

Answer:

One real-world example of an object/scenario where a limit exists is the concept of a car approaching a maximum speed.

Let's consider a car accelerating on a straight road. As the car continues to accelerate, there may be physical or engineering limitations that prevent it from reaching an infinite speed. These limitations could be factors like engine power, aerodynamic resistance, or speed limits imposed by laws or safety considerations.

In this case, we can approximate the limit of the car's speed as it approaches the maximum achievable speed. As the car accelerates, its speed increases, but it eventually reaches a point where the increase in speed becomes negligible. At this point, the car is said to have approached its maximum speed or reached its speed limit.

For example, let's say a car is accelerating from 0 km/h and its maximum speed is 200 km/h. As the car accelerates, it gradually gets closer to its maximum speed. At some point, the incremental increase in speed becomes very small, and the car's speed stabilizes around 200 km/h. This indicates that the car has approached its limit or maximum speed.

In this scenario, we can approximate the limit of the car's speed as it approaches 200 km/h. However, it's important to note that the actual limit may depend on various factors and may vary in different real-world situations.

Step-by-step explanation:

When the area of the equilateral triangle is 16√3 cm², the rate at which the height is changing is 5 / √3 cm/min.

What is triangle?

A triangle is a polygon with three sides and three angles. It is one of the basic shapes in geometry.

To find the rate at which the height of an equilateral triangle is changing when the area is 16√3 cm², we can use related rates.

Let's denote the height of the equilateral triangle as h and the area as A. We know that the area of an equilateral triangle is given by the formula:

A = (√3 / 4) * s²,

where s is the length of each side of the equilateral triangle. Since all sides of an equilateral triangle are equal, we can express s in terms of the height h:

s = 2h / √3.

Now, we can differentiate both sides of the equation with respect to time t:

dA/dt = (√3 / 4) * 2s * (ds/dt),

where dA/dt represents the rate at which the area is changing and ds/dt represents the rate at which the side length is changing.

Given that dA/dt = 10 cm²/min, we can substitute the known values:

10 = (√3 / 4) * 2s * (ds/dt).

Now, we need to find the value of s when the area A is 16√3 cm². Plugging this into the area formula, we have:

16√3 = (√3 / 4) * s².

Simplifying, we get:

64 = s².

Taking the square root of both sides, we find:

s = 8.

Substituting this value back into the equation involving the rates, we can solve for (ds/dt):

10 = (√3 / 4) * 2 * 8 * (ds/dt).

Simplifying further:

10 = (√3 / 4) * 16 * (ds/dt).

Now, solving for (ds/dt):

(ds/dt) = 10 / [(√3 / 4) * 16],

(ds/dt) = 10 / (8√3 / 4),

(ds/dt) = 40 / (8√3),

(ds/dt) = 5 / √3.

Therefore, when the area of the equilateral triangle is 16√3 cm², the rate at which the height is changing is 5 / √3 cm/min.

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Answer: F_ID

Step-by-step explanation:

1) -5 (answer F)

2) Not one of answer choices (q+27/4)

3)-1/3 (answer I)

4) 3 (answer D)

The interval means there is a 95% chance that the true average price of gas in the United States in 2015 was between $2.16 and $2.24 per gallon.

A confidence interval is the range of values that is likely to contain the true value of a population parameter.

In this case, the population parameter is the average price of gas in the United States in 2015.

The confidence interval can be calculated using sample of data and the 95% confidence level implies that there is a 95% chance that the true average price of gas is within the confidence interval.

Since the 95% confidence interval estimate of gas in dollars for the United States in 2015 is given as (2.16, 2.24).

This means there is a 95% chance that the true average price of gas in the United States in 2015 was between $2.16 and $2.24 per gallon.

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Solution set: {(s, t) | 4s + 13t = 3}

In this case, the solution set is dependent on the parameters s and t,

What is the equation of the line?

A linear equation is an algebraic equation of the form y=mx+b. where m is the slope and b is the y-intercept.

To find the solution set of equation 4x₁ + 9x₂ + 4x₃ = 3, we need to solve for the variables x₁, x₂, and x₃.

Since there is no information provided about the variables x₁, x₂, and x₃, we can consider them as free variables and use parameters to represent them. Let's use s and t as parameters.

The equation can be rewritten as:

4s + 9t + 4t = 3

Simplifying the equation:

4s + 13t = 3

Now we can express the solution set in terms of the parameters s and t:

Solution set: {(s, t) | 4s + 13t = 3}

In this case, the solution set is dependent on the parameters s and t, and there are infinitely many solutions that satisfy the equation.

hence, Solution set: {(s, t) | 4s + 13t = 3}

In this case, the solution set is dependent on the parameters s and t,

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The percentage change in the quantity demanded of gasoline can be calculated using the midpoint formula. Given the initial and final quantities demanded at different prices, the formula helps determine the percentage change in demand.

The midpoint formula is used to calculate the percentage change between two values. It is particularly useful when dealing with percentage changes in quantities or prices. The formula is as follows:

Percentage Change = [(Final Value - Initial Value) / ((Final Value + Initial Value) / 2)] * 100

In this case, the initial quantity demanded is 6 million barrels per day when the price is $3.50 per gallon, and the final quantity demanded is 8 million barrels per day when the price decreases to $3 per gallon.

Using the midpoint formula, we can calculate the percentage change in the quantity demanded as follows:

Percentage Change = [(8 - 6) / ((8 + 6) / 2)] * 100

Simplifying the equation, we get:

Percentage Change = [(2) / (7)] * 100

Hence, the percentage change in the quantity demanded is approximately 28.57%.

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The best-fitting line through a scatterplot is known as the linear regression line.

The linear regression line is a statistical method used to model the relationship between two variables by fitting a straight line that minimizes the overall distance between the observed data points and the line.

The linear regression line is often used to determine the strength and direction of the linear relationship between two variables. It provides an estimate of the average relationship between the independent variable (x) and the dependent variable (y) in the form of a linear equation (y = mx + b), where "m" represents the slope of the line and "b" represents the y-intercept.

The goal of the linear regression line is to find the line that best represents the pattern of the data points. It minimizes the sum of the squared differences between the observed y-values and the predicted y-values based on the line. By finding the best-fitting line, we can make predictions or infer the relationship between the variables beyond the observed data points.

Therefore, the best-fitting line through a scatterplot is known as the linear regression line.

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The journal entry for pension expense is recorded to reflect the cost of providing defined-benefit pension benefits to employees. This entry recognizes the expense and the corresponding increase in the pension liability.

To prepare the journal entry for pension expense, we need to consider the relevant balances related to the defined-benefit pension plan. The pension expense is typically calculated based on actuarial assumptions, such as the expected return on plan assets, discount rate, and projected benefit obligations.

The journal entry for pension expense includes debits and credits to various accounts. The debit side usually includes the pension expense account, which represents the cost incurred by the company for providing pension benefits to its employees. This expense is recognized in the income statement.

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Answer:

2.5

Step-by-step explanation:

slope is rise/run, (y2-y1)/(x2-x1)

We have two points clearly given to us on this graph so let's just use those.

(-1,-3) and (1,2)

= (-3-2)/(-1-1)

=(-5)/(-2)

=2.5

In a perfectly competitive industry, the demand curve is negatively sloped. so, the correct option is d) Negatively Sloped

In economics, the concept of demand curve plays a crucial role in understanding how prices and quantities of goods or services interact. In a perfectly competitive industry, where there are many buyers and sellers, each having negligible market power, the demand curve takes on a specific shape based on the behavior of buyers in the market.

The demand curve represents the relationship between the price of a product and the quantity demanded by consumers in a particular market. In a perfectly competitive industry, all firms produce identical goods or services, and buyers have access to perfect information. This means that buyers are fully aware of the prices charged by all sellers in the market.

a) Evenly divided: In a perfectly competitive market, the demand curve is not evenly divided. Each individual buyer's demand is a small fraction of the total market demand. However, when we consider the entire market, the demand curve takes on a specific shape.

b) Horizontal: The demand curve in a perfectly competitive industry is not horizontal. A horizontal demand curve would imply that buyers are willing to purchase an unlimited quantity of a good or service at a particular price. However, in reality, buyers have limitations on their purchasing power and preferences.

c) Directly sloped: The demand curve in a perfectly competitive industry is not directly sloped. A directly sloped demand curve would indicate a constant increase or decrease in quantity demanded as the price changes. However, this is not the case in a perfectly competitive industry.

d) Vertical: The demand curve in a perfectly competitive industry is not vertical. A vertical demand curve would imply that the quantity demanded remains constant, regardless of changes in price. In a perfectly competitive market, buyers are generally sensitive to changes in price, which affects the quantity demanded.

e) Negatively sloped: The most appropriate choice for the shape of the demand curve in a perfectly competitive industry is "negatively sloped." In a perfectly competitive market, the demand curve slopes downward from left to right. This means that as the price of a good or service increases, the quantity demanded by buyers decreases, and vice versa. This negative relationship between price and quantity demanded is a fundamental characteristic of the demand curve in a perfectly competitive market.

To summarize, in a perfectly competitive industry, the demand curve is negatively sloped. As the price increases, the quantity demanded by buyers decreases, and as the price decreases, the quantity demanded increases. This behavior reflects the underlying relationship between price and consumer demand in a competitive market.

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Complete Question:

We expect the demand curve in the perfectly competitive industry to be Group of answer choices

a) evenly divided

b) horizontal

c) directly sloped

d) vertical

e) negatively sloped.

The paddle wheel with its axis in the direction (0,1, 1) would not spin when put in the vector field F = (1,1,2) x (x,y,z) is incorrect.

How can the curl of a vector field determine the spinning motion of a paddle wheel?

The curl of a vector field provides information about the rotational behavior of the field. If the curl is nonzero at a particular point, it indicates the presence of rotation or spinning motion in the vector field at that point. By evaluating the curl of the vector field at the axis of the paddle wheel, we can determine whether there is rotation present. If the curl is nonzero, it suggests that the paddle wheel would spin when placed in the vector field.

The divergence of the given vector field does not directly determine whether the paddle wheel would spin or not. The divergence measures the net flow of the vector field at a point but does not provide information about the rotational motion.

To determine if the paddle wheel would spin, we need to analyze the curl of the vector field. The curl represents the rotational behavior of the vector field. If the curl is nonzero at a particular point, it indicates the presence of rotation or spinning motion in the vector field at that point.

In this case, the given vector field is F = (1, 1, 2) x (x, y, z). To find the curl, we can compute the cross product:

F = (1, 1, 2) x (x, y, z)

= (2y - z, z - 2x, x - y)

The curl of the vector field is (2y - z, z - 2x, x - y).

Now, let's evaluate the curl at the axis of the paddle wheel, which is in the direction (0, 1, 1). Substituting x = 0, y = 1, and z = 1 into the curl, we get:

Curl = (2(1) - 1, 1 - 2(0), 0 - 1)

= (1, 1, -1)

Since the curl is nonzero at the axis of the paddle wheel, specifically (1, 1, -1), it indicates the presence of rotation or spinning motion.

Therefore, the paddle wheel would spin when put in this vector field.

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The value of all sub-parts has been obtained.

(a-i) Probability no click on either product is 0.20.

(a-ii) Venn diagram has been drawn below.

(a-iii) Probability whether a user clicking on the two product is independent is not an independent.

(b) The expectation and variance of the number clicked adverts is 17.

(c) The probability will sell more than 30 item is 0.

What is probability?

The probability of an occurrence, as used in science, is a figure that expresses how likely it is to take place. In mathematical notation, it is written as a number between 0 and 1, or as a percentage between 0% and 100%. The higher an event's probability, the more likely it is to occur.

As given,

Probability of click on product B is 0.7.

Probability of click on product bot A and B is 0.3.

The Probability no click on either product is:

P (no click on either product) = P((A∪B)')

P((A∪B)') = 1 - P(A∪B)

Evaluate the value of P(A∪B),

P(A∪B) = P(A) + P(B) -P(A∩B)

P(A∪B) = 0.4 + 0.7 - 0.3

P(A∪B) = 0.80

Then, P (no click on either product) is

P((A∪B)') = 1 - P(A∪B)

P((A∪B)') = 1 - 0.80

P((A∪B)') = 0.20

(a-ii) Sketch the Venn diagram for above information which is shown below.

(a-iii) The Probability whether a user clicking on the two product is:

No, the Probability whether a user clicking on the two product is not an independent because,

P(A)*P(B) = 0.28

P(A)*P(B) ≠ P(A∩B)

Since, 0.28 ≠ 0.3.

Hence, the Probability whether a user clicking on the two product is independent is not an independent.

(b) Evaluate the expectation and variance of the number clicked:

Poisson distribution is appropriate,

X: No. of clicks on advertisement,

X ≈ Poiss(mean = 17)

We know for poiss(17),

expectation = mean = variance = 17.

Hence, the expectation and variance of the number clicked adverts is 17.

(c)  Evaluate the probability will sell more than 30 item is:

As given probability density function is,

fₓ(x) = 9xe⁻³ˣ

P (X > 30) = 1 - P (≤30)

P (X > 30) = 1 - ∫ from (30 to 0) 9xe⁻³ˣ dx

P (X > 30) = 1 - 9[30e⁻⁹⁰/(-3) - (exp(-90) - 1)/9]

P (X > 30) = 0

Hence, the probability will sell more than 30 item is 0.

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The government may implement various measures to extract more money from a business if it suspects the company is concealing profits. One measure it might take is to increase tax audits and investigations.

Tax audits involve a thorough examination of a company's financial records and tax returns to ensure compliance with tax laws. By conducting more frequent and rigorous audits, the government can identify any discrepancies or hidden profits that the business may be trying to conceal. This allows them to enforce tax regulations and collect the appropriate amount of taxes owed.

In addition to audits, the government may also implement stricter regulations and reporting requirements for businesses. This can include enhanced disclosure requirements, increased penalties for non-compliance, and more rigorous monitoring of financial activities. By imposing these measures, the government aims to deter businesses from concealing profits and ensure that they contribute their fair share of taxes to the country's revenue.

Overall, these measures help the government in its efforts to combat tax evasion and maintain a fair and transparent tax system.

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If firms receive an economic forecast predicting future increases in the growth of real GDP, they are likely to respond by adjusting their business strategies and decisions in several ways.

1. Investment: Firms may increase their investment in capital goods and expand their production capacity. The expectation of higher economic growth signals increased demand for goods and services, encouraging firms to invest in new equipment, technology, and infrastructure to meet future demand.

2. Hiring and Expansion: With anticipated economic growth, firms may increase their workforce by hiring more employees. Additionally, they may expand their operations by opening new branches or facilities to take advantage of the expanding market opportunities.

3. Research and Development: Firms may allocate more resources towards research and development activities to innovate and develop new products or services. Anticipated economic growth creates a favourable environment for firms to invest in research and technology-driven initiatives, aiming to gain a competitive edge and capture a larger market share.

4. Marketing and Advertising: Firms may intensify their marketing and advertising efforts to promote their products and services in anticipation of increased consumer demand. This could involve increasing advertising budgets, launching new marketing campaigns, or exploring new market segments.

5. Strategic Planning: Firms may review and adjust their strategic plans, taking into account the forecasted economic growth. They may set higher revenue targets, revise sales forecasts, and reassess their market positioning to align with the expected economic conditions.

Overall, the response of firms to an economic forecast indicating future increases in the growth of real GDP will depend on their specific industry, market conditions, and internal capabilities. However, in general, they are likely to adapt their strategies to capitalize on the projected economic expansion and position themselves for growth.  

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By following below steps, you will be able to determine which triangle represents the image of triangle XYZ after the given transformations.

To determine which triangle represents the image of triangle XYZ after it was reflected across line M and then dilated to form a similar triangle, you should follow these steps:

1. Identify the reflection: Find the image of triangle XYZ after reflecting it across line M. The reflected triangle will have the same shape and size, but its orientation and position will be changed.

2. Identify the dilation: From the reflected triangle, find the image that represents a similar triangle by checking if all corresponding angles are equal and the side lengths are proportional. This triangle will have the same shape as the reflected triangle, but its size may be different due to dilation.

By following these steps, you will be able to determine which triangle represents the image of triangle XYZ after the given transformations.

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Answer: B

Step-by-step explanation:

[tex]\textit{volume of a cylinder}\\\\ V=\pi r^2 h~~ \begin{cases} r=radius\\ h=height\\[-0.5em] \hrulefill\\ r=7\\ h=19 \end{cases}\implies V=\pi (7)^2(19)\implies V\approx 2924.8~ft^3[/tex]

The value of the chi-square test statistic and the degrees of freedom for this test is A. χ‑2 = 7.47, df = 4

The chi-square test statistic is calculated as follows:

χ² = Σ(O - E)² / E

The expected counts are calculated as follows:

E = N * p

In this case, the total sample size is 150, so the expected counts are:

City: 50 * 0.25 = 12.5

Rural: 50 * 0.50 = 25

Suburbs: 50 * 0.25 = 12.5

The chi-square test statistic is then:

χ² = (10 - 12.5)² / 12.5 + (60 - 25)² / 25 + (40 - 12.5)² / 12.5

= 7.47

The degrees of freedom for this test are the number of categories minus one, which is 5 - 1 = 4.

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To find the probability that the battery life is 20 hours or longer for each phone using the normcdf function on a calculator, we need the mean and standard deviation of the battery life distribution.

The normcdf function is used to calculate the cumulative probability of a given range in a normal distribution. It requires three inputs: the upper bound, the lower bound, and the mean and standard deviation of the distribution.

Assuming we have the mean (μ) and standard deviation (σ) for each phone's battery life, we can input these values along with the lower bound (20) and a large upper bound (e.g., 10^99) into the normcdf function.

The normcdf function calculates the cumulative probability from the lower bound to the upper bound of a normal distribution. In this case, we are interested in the probability of the battery life being 20 hours or longer, so we use 20 as the lower bound.

By entering the appropriate values into the normcdf  function, the calculator will provide the probability that the battery life is 20 hours or longer for each phone based on their respective mean and standard deviation.

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The product ((4√3) - 4i)((√2) + √2i) in polar form is 8√3 * cis(-π/4).

To find the product of ((4√3) - 4i)((√2) + √2i) in polar form, we can first multiply the two complex numbers using the distributive property: ((4√3) - 4i)((√2) + √2i) = (4√3)(√2) + (4√3)(√2i) - (4i)(√2) - (4i)(√2i)

Simplifying each term, we get:

(4√3)(√2) = 8√6

(4√3)(√2i) = 8√6i

(4i)(√2) = 4√2i

(4i)(√2i) = -4√2

Combining the terms, we have: 8√6 + 8√6i - 4√2i - 4√2

To express the result in polar form, we convert the complex number to its magnitude and argument form. The magnitude (r) can be calculated as the square root of the sum of the squares of the real and imaginary parts: r = √((8√6)^2 + (8√6)^2) = √(384 + 384) = √768 = 8√3

The argument (θ) can be determined as the arctan of the imaginary part divided by the real part: θ = arctan((-4√2 - 4√6) / (8√6 + 8√6)) = arctan(-√2/√3) = -π/4

Therefore, the product ((4√3) - 4i)((√2) + √2i) in polar form is 8√3 * cis(-π/4). The argument -π/4 corresponds to the fourth quadrant of the complex plane, as it is negative and lies between -π/2 and -π.

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The probability that John's store will blow up is 1 or 100%.

To calculate the probability of John's store blowing up, we need to consider the probability of drawing three matching balls from the urn filled with 100 numbered ping-pong balls, with replacement.

The probability of drawing a matching ball on the first draw is 1 since there are no restrictions. The second and third draws also need to match the first ball to satisfy the condition. Since we are drawing with replacement, each draw is independent, and the probability of drawing a matching ball on each subsequent draw is also 1.

Therefore, the probability of drawing three matching balls, and thus the store blowing up, is the product of the individual probabilities:

Probability = 1 * 1 * 1 = 1

Hence, this means that no matter which balls John draws, he is guaranteed to draw three matching balls due to the infinite supply of numbered ping-pong balls with replacement. Consequently, the store will always blow up according to the given scenario.

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A person living in a Midwestern city who drinks two liters of tap water containing 150 mg Ca/L would receive approximately 20% of their recommended daily requirement (RDA) of calcium.

The recommended daily requirement of calcium is 1000 mg, and the tap water in the Midwestern city contains approximately 150 mg of calcium per liter. If a person drinks two liters of water in one day, they would consume a total of 300 mg of calcium (150 mg/L * 2 L). To determine the percentage of their RDA, we can divide the amount of calcium obtained from the water (300 mg) by the recommended daily requirement (1000 mg) and multiply by 100.

Mathematically, it would be (300 mg / 1000 mg) * 100 = 0.3 * 100 = 30%. Therefore, a person living in the Midwestern city who drinks two liters of tap water would receive approximately 30% of their RDA of calcium. This means that drinking tap water alone would not fulfill their entire daily calcium requirement, and additional sources of calcium-rich foods or supplements may be necessary to meet their RDA.

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Answer: B : 216

Step-by-step explanation:

a cube has 6 sides, so 36*6=216

Answer:

There are a lot of advantages of using a chart or graph instead of a table:

- They can present data in a more precise way, and is able to simplify large data in a easier manner.

- They will pretty much show you an overall trend/pattern of the data, it's either be a positive, negative or no trend at all.

Answer: This can be done in 9C5 ways (9 choose 5), which is calculated as 9!/(5! 4!) = 126 ways.

The appropriate hypotheses would be:

H0: There is no difference in the distribution of commute distance for the populations of all people who live in the city, in a rural community, and in the suburbs.

Ha: There is a difference in the distribution of commute distance for the populations of all people who live in the city, in a rural community, and in the suburbs.

A claim about a population based on sample data can be that can tested statistically to see if there is evidence to back it up is called hypotheses.

We know that the city planner wants to investigate whether there is a difference in the distribution of commute distance for the populations of people who live in the city, in a rural community, and in the suburbs.

In order to conduct the hypothesis test, the city planner collects a random sample of 50 adults from each location as well as the suburbs and records the person their  commute distance and then assess the difference.

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