Identify each variable as either relevant or not relevant to the research question; further classify the relevant variable(s) as either quantitative or categorical.Group of answer choicesThe research question:Based on a recent study, roughly 80% of college students in the U.S. own a smartphone. Is the proportion of smartphone owners lower at this university?Math[ Choose ] Not relevant to the question Relevant; Categorical Relevant; QuantitativeVerbal[ Choose ] Not relevant to the question Relevant; Categorical Relevant; QuantitativeCredits[ Choose ] Not relevant to the question Relevant; Categorical Relevant; QuantitativeYear[ Choose ] Not relevant to the question Relevant; Categorical Relevant; QuantitativeExercise[ Choose ] Not relevant to the question Relevant; Categorical Relevant; QuantitativeSleep[ Choose ] Not relevant to the question Relevant; Categorical Relevant; QuantitativeVeg[ Choose ] Not relevant to the question Relevant; Categorical Relevant; QuantitativeCell[ Choose ] Not relevant to the question Relevant; Categorical Relevant; Quantitative

Given that a ski set is being sold at 10% discount at $325, we need to find its original price,

Let the original price be x,

Therefore,

90% of x = 325

0.9x = 325

x = 361.11

Hence the original price of the ski set is $361.11.

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8% for 24 months has the lower finance charge of $296, compared to option b) with a finance charge of $363.50.

To compare the two loans, we need to calculate the finance charge for each option.

For option a) at 8% APR for 24 months, we can use the following formula:

Finance charge = (loan amount x interest rate x time) / 12

Finance charge = (1850 x 0.08 x 24) / 12 = 296

So the finance charge for option a) is $296.

For option b) at 11% APR for 18 months, we can use the same formula:

Finance charge = (loan amount x interest rate x time) / 12

Finance charge = (1850 x 0.11 x 18) / 12 = 363.5

So the finance charge for option b) is $363.50.

Therefore, option a) has the lower finance charge of $296, compared to option b) with a finance charge of $363.50.

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The dimensions that minimize the cost subject to the volume constraint are [tex]L = 4 ft, W = 2 ft,[/tex] and [tex]H = 2 ft[/tex] using surface area.

Assuming that the cost of material is proportional to the surface area, we can write the cost function as:

[tex]C = k(2LW + 2LH + WH)[/tex]

where k is a constant of proportionality that depends on the cost of the material. We are given that the cost of the material for the top and bottom is twice the cost of the material for the sides, so we can take k = 3 for simplicity (since the cost of the material for the sides is then 1).

Using the volume constraint as before, we can eliminate one of the variables:

[tex]H = 16/LW[/tex]

When this is used as a cost function substitution,

[tex]C = 3(2LW + 2LH + WH) = 6LW + 96/L + 48/W[/tex]

To find the critical points of C, we need to find where the partial derivatives are zero:

[tex]dC/dL = 6W - 96/L^2 = 0[/tex]

[tex]dC/dW = 6L - 48/W^2 = 0[/tex]

When we simultaneously solve these equations, we obtain:

L = 4 ft

W = 2 ft

H = 2 ft

Therefore, the dimensions that minimize the cost subject to the volume constraint surface area are L = 4 ft, W = 2 ft, and H = 2 ft.

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The marketing firm should sample at least 752 people to estimate the approval rating for their next advertising campaign with a margin of error of 3% and 90% confidence.

To estimate the sample size for a marketing firm's advertising campaign approval rating with a margin of error of 3% and a 90% confidence level, you should use the following steps:

Step 1: Identify the critical value for a 90% confidence level. For a 90% confidence level, the critical value (z-score) is approximately 1.645.

Step 2: Determine the population proportion (p) and its complement (q). Since we don't have a specific proportion, we can use the conservative estimate of p=0.5 and q=0.5, which will result in the largest required sample size.

Step 3: Calculate the required sample size (n) using the formula:

n = (Z^2 * p * q) / E^2

where Z is the critical value, p and q are the population proportions, and E is the margin of error.

n = (1.645^2 * 0.5 * 0.5) / 0.03^2
n ≈ 751.18

Since we cannot have a fraction of a person in a sample, we'll round up to the nearest whole number.

Therefore to achieve a margin of error of 3% with a 90% confidence level, the marketing firm should sample approximately 752 people for their next advertising campaign's approval rating.

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Degrees of freedom (df) refers to the number of independent pieces of information that can be used to estimate a parameter. The p-value is the probability of observing a test statistic as extreme or more extreme than the one calculated from your sample data, assuming the null hypothesis is true.

However, I can still help you understand the terms and how they relate to your question.

1. Test Statistic Name: In this case, the test statistic is the t-statistic, which is used for hypothesis testing in statistics when the population standard deviation is unknown.

2. Degrees of Freedom: Degrees of freedom (df) refers to the number of independent pieces of information that can be used to estimate a parameter. In a t-test, the degrees of freedom are typically represented as "t(df)". In your example, the degrees of freedom are 45 (t(45)).

3. Test Statistic Value: This is the calculated value of the t-statistic, which you will need to compute based on the data provided. It is used to compare against the critical value or to find the p-value. You need to provide the data or information about the test to calculate this value.

4. P-value: The p-value is the probability of observing a test statistic as extreme or more extreme than the one calculated from your sample data, assuming the null hypothesis is true. You will need to compute the p-value using the t-statistic value.

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The differential equation solution is y(x) = [tex]-9e^_{(-0.6x)[/tex] for the initial condition y(0) = -9.

The given differential condition is dy/dx = -0.6y. To address this condition, we can isolate the factors by partitioning the two sides by y and duplicating the two sides by dx:

dy/y = -0.6dx

Then, we can incorporate the two sides. On the left side, we get ln|y|, and on the right side, we get -0.6x+C, where C is an inconsistent steady of joining:

ln|y| = -0.6x+C

To find the specific arrangement that fulfills the underlying condition y(0) = -9, we can substitute x = 0 and y = -9 into the situation:

ln|-9| = -0.6(0)+C

Rearranging, we get:

C = ln(9)

In this manner, the specific arrangement that fulfills the underlying condition is:

y(x) = [tex]-9e^_{(-0.6x)[/tex]

This is the last response.

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The complete question is:

Solve the separable differential equation dy/dx = 0.9y, and find the particular solution satisfying the initial condition y(0) = -9. y(x) = e^((0.9/2)x^2-ln(9)).

(a) If you bet on a single number for 25 rounds, the expected value of your net gain is -$1.32.

(b) The standard deviation of your net gain is 28.0126.

(c) The estimate the chance you come out ahead is  48.17%.

(a) The probability of winning a single bet is 1/38 and the expected net gain for each bet is -1 + (35/1)1/38 = -0.0526. Therefore, the expected value of your net gain after 25 rounds is 25(-0.0526) = -$1.32.

(b) The variance of the net gain for each bet is [(-1 - (-0.0526))^2*(37/38) + (35 - (-0.0526))^2*(1/38)] = 31.3728. So, the variance of the net gain for 25 rounds is 25*31.3728 = 784.32, and the standard deviation is the square root of the variance, which is 28.0126.

(c) The chance of coming out ahead can be estimated using the normal distribution with mean -1.32 and standard deviation 28.0126. We want to find the probability that the net gain is greater than zero, which is equivalent to finding the probability that a standard normal random variable Z is greater than (0 - (-1.32))/28.0126 = 0.0471.

Using a standard normal table or calculator, we find that this probability is approximately 0.4817 or 48.17%. So, there is about a 48.17% chance of coming out ahead after 25 rounds of betting on a single number.

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0.86​ inches. The departure from the average would then be 0.86​ inches since 2.43-1.57=0.86​​ inches.

a) 0.5​ inches. The difference between the average rainfall and the actual rainfall for last June is 0.67-0.17=0.50​ inches.

b) 1.14​ inches. Because the departure from the average was negative, the actual rainfall was 0.36​ inches less than the average rainfall. Thus, 1.5-0.36=1.14​ inches was the actual rainfall last July.

c) 2.43​ inches. The average rainfall for these three months is 0.67+1.5+1.57=3.74​ inches. Last June it rained 0.17​ inches and last July it rained 1.14 inches. So, it would need to have rained 3.74-0.17-1.14=2.43​ inches last August so that the total amount of rain equaled the average rainfall for these three months.  

0.86​ inches. The departure from the average would then be 0.86​ inches since 2.43-1.57=0.86​​ inches.

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Full Question ;

The departure from the average is the difference between the actual amount of rain and the average amount of rain for a given month.

The historical average for rainfall in Albuquerque, NM for June, July, and August is shown in the table.

June 0.67 inches

July 1.5 inches

August 1.57 inches

Last June only 0.17 inches of rain fell all month. What is the difference between the average rainfall and the actual rainfall for last June? Answer with decimals.

The departure from the average rainfall last July was -0.36 inches. How much rain fell last July? Answer with decimals.

How much rain would have to fall in August so that the total amount of rain equals the average rainfall for these three months? Answer with decimals.

What would the departure from the average be in August in that situation? Answer with decimals.

Wingate Metal Products, Inc.'s capital structure weights are 60% for debt financing and 40% for equity financing

To find Wingate Metal Products, Inc.'s capital structure weights for debt and equity financing, you need to first identify the weighted average cost of capital (WACC), after-tax cost of debt financing, and cost of equity financing.

The information provided is as follows:
- WACC: 9.0%
- After-tax cost of debt financing: 7%
- Cost of equity financing: 12%

Let's use the formula for WACC:

WACC = (Weight of Debt * Cost of Debt) + (Weight of Equity * Cost of Equity)

Since the weights of debt and equity financing must sum up to 1, we can represent the weight of debt as "x" and the weight of equity as "1-x". Now, we can rewrite the formula:

9.0% = (x * 7%) + ((1-x) * 12%)

Now, solve for x (weight of debt financing) and 1-x (weight of equity financing):

9.0% = 7x + 12 - 12x
9.0% = 12 - 5x
5x = 3%
x = 0.6

The weight of debt financing is 0.6, and the weight of equity financing is 1-0.6 = 0.4.

Therefore, Wingate Metal Products, Inc.'s capital structure weights are 60% for debt financing and 40% for equity financing.

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The child will always have the recessive trait in their phenotype.

If both parents are homozygous for a recessive trait, it means they both carry two copies of the recessive allele. Let's assume that the dominant allele is represented by 'A' and the recessive allele by 'a'. Since both parents are homozygous for the recessive trait, their genotype must be 'aa'.

When these parents have children, they will each contribute one 'a' allele, resulting in all of their children inheriting the recessive allele. The probability that their child will have the trait is therefore 100%. The probability of not inheriting the trait is 0%.

Therefore, the answer to the question is 0%. The child will always have the recessive trait in their phenotype.

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The probability that both​ females survived is 0.2961

The table of values is given as

Male Female Child Total

survived 230 339 54 623

died 1190 102 52 1344

total 1420 441 106 1967

For females that survived, we have

P(Female) = 339/623

For two females, we have

P = 339/623 * 339/623

Evaluate

P = 0.2961

Hence, the probability is 0.2961

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The two points that a line of best fit would go through would be B. (3, 5) and ( 5, 6 ).

The line of best fit is determined by the data points that have the least sum of squared distances from the line. These chosen points provide a clear representation of the general trend of the data and effectively facilitate precise future predictions concerning upcoming data points.

The line of best fit would therefore go through (3, 5) and ( 5, 6 ) because it would lead to four points being above the line, and four points being below which would be a good line of best fit.

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We can conclude that the largest interval in which the solution is certain to exist is (1,π/2).

To determine the largest interval in which the solution is certain to exist, we need to check the coefficients and initial values for any discontinuities or singularities.

Notice that the coefficient of the second derivative term, (t-4)cos(ty''), becomes zero at t=4, which can cause a singularity in the solution. Moreover, the coefficient of the first derivative term, In(t-1), becomes negative for t<1, which can cause instability issues in the solution.

Since the initial value problem is given for t=2, the interval of certain existence must contain t=2. Therefore, we can eliminate option a (-5,4) and option b (π/2,4) since neither of them contain t=2.

For option c (1,[infinity]), the coefficient of the first derivative term becomes negative for t<1, which violates the condition for the existence of a solution. Therefore, option c can also be eliminated.

The only remaining option is d (1,π/2). This interval contains t=2 and does not cause any discontinuity or instability issues in the coefficients. Therefore, we can conclude that the largest interval in which the solution is certain to exist is (1,π/2).

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Slope  of the lines that pass through points (5,-8) and (-3,-4) is -1/2

The slope of line passing through two points (x₁, y₁) and (x₂, y₂) is

m=y₂-y₁/x₂-x₁

We have to find slope  of the lines that pass through (5,-8) and (-3,-4)

Slope = -4-(-8)/-3-5

=-4+8/-8

=-4/8

=-1/2

Hence,  slope of the lines that pass through (5,-8) and (-3,-4) is -1/2

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The surface area of the pyramid is 141 in²

Considering the figure, to find the surface area of the regular pyramid, we notice that 3 similar triangular faces and 1 other triangular face.

So, the surface area of the pyramid is A = 3A' + A where A' = 1/2bH where

So, A' = 1/2bh

= 1/2 × 6 in × 14 in

= 3 in × 14 in

= 42 in²

Also,

A' = 1/2bh where

So, A' = 1/2bh

= 1/2 × 6 in × 5 in

= 3 in × 5 in

= 15 in²

So, A = 3A' + A"

= 3 × 42 in² + 15 in²

= 126 in² + 15 in²

= 141 in²

So, the surface area of the pyramid is 141 in²

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Answer:10

Step-by-step explanation:

10

To find the volume of the right prism, we used the Pythagorean theorem to determine the height of the triangular base is 1.197 inches. We then used the formula V = Bh to calculate the volume, which was approximately 2.70 cubic inches.

To find the height of the prism, we need to use the information provided about the triangular base. Since the triangular base is equilateral with a dimension of 1.74 inches, the height of the triangle (and therefore, the height of the prism) can be found by using the Pythagorean theorem.

If we draw a line from the center of the base to the midpoint of one of the sides, we create a right triangle with hypotenuse 1.74 in (which is also the height of the triangle) and one leg equal to half the length of one of the sides of the triangle (since the base of the prism is a square with dimension 1.5 in).

Using the Pythagorean theorem, we can solve for the height of the triangle (and prism)

(1.74/2)² + (1.5/2)² = h²

0.8725 + 0.5625 = h²

h² = 1.435

h ≈ 1.197 inches

Now, we can use the formula V = Bh to find the volume of the prism

V = (1.5 x 1.5) x 1.197 ≈ 2.70 cubic inches

Therefore, the volume of the right prism is approximately 2.70 cubic inches.

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To find the function when it is divided by 2x-5 with a quotient of 2x^2-2x-3 and a remainder of -8, follow these steps:

1. Set up the division equation: function = (divisor × quotient) + remainder
2. Substitute the given terms: function = ((2x-5) × (2x^2-2x-3)) - 8

Now, expand and simplify the equation:

3. Multiply the divisor and quotient: function = (4x^3 - 4x^2 - 6x - 10x^2 + 10x + 15) - 8
4. Combine like terms: function = 4x^3 - 14x^2 + 4x + 7

The function in standard form is 4x^3 - 14x^2 + 4x + 7.

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Using the expression 24÷4=6 to calculate the equation, the solution is 60

From the question, we have the following parameters that can be used in our computation:

24÷4=6

To find 240÷4, we simply multiply both sides of 24÷4=6 by 10

Using the above as a guide, we have the following:

10 * 24 ÷ 4 = 6 * 10

Evaluate the products

240 ÷ 4 = 60

Hence, the solution is 60

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The equation represents a growth function.

We have,

The equation y = (7/4)x/3 can be simplified to y = (7/12)x.

Since the coefficient of x, 7/12, is positive, this means that as x increases, y also increases.

In other words, y is growing as x increases, and the growth rate is determined by the slope of the line, which is 7/12.

To understand this intuitively, we can think of the equation as representing a line on a graph.

The slope of the line, which is equal to the coefficient of x, tells us whether the line is increasing or decreasing.

In this case, the positive slope tells us that the line is increasing, which means that y is also increasing as x increases.

This is consistent with a growth function.

Therefore,

The equation represents a growth function.

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The  probability that the person chosen belonged to Group Y is 69/164.

As, Out of 200 persons in the sample, those having at least one dream are 200− those who had no dream are

= 200−36

=164

Now, out of 164 people belonged to group Y

= 100−21

=79

So, the probability that the person chosen belonged to Group Y become

= 69/164

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The answer is: a. It would converge to the shape of a normal distribution.

When you increase your sample size, more data points are included in the sample, resulting in a more accurate representation of the population. As a result, the distribution of the sample means will approach a normal distribution, known as the Central Limit Theorem. This means that the shape of the sampling distribution will become more symmetrical and bell-shaped as the sample size increases.

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Answer:

First, we need to convert the mixed number −3 1/3 to a fraction. −3 1/3 = −(3 + 1/3) = −(10/3).

Now, we can divide the fraction by the decimal. −(10/3) ÷ (-2.4) = −(10/3) ÷ (-24/10) = −(10/3) x (10/-24) = 10/-7.2 = -1.388888889.

Therefore, the value of the expression is −1.388888889.

Step-by-step explanation:

1. Convert the mixed number to a fraction.

```

-3 1/3 = -(3 + 1/3) = -(10/3)

```

2. Multiply the numerator and denominator of the fraction by -1.

```

-(10/3) = (-1)(10/3) = -10/3

```

3. Divide the numerator and denominator of the fraction by -24.

```

-10/3 = (-10/3) ÷ (-24/10) = 10/-7.2 = -1.388888889

```

Therefore, the value of the expression is −1.388888889.

Here is a visual representation of the steps:

```

-3 1/3 ÷ (-2.4)

= -(10/3) ÷ (-24/10)

= -(10/3) x (10/-24)

= 10/-7.2

= -1.388888889

```

1.

a.

It will take 8 minutes to fill the bathtub.

b.

The relationship described is linear.

The equation is 20 = 2.5t + 0.

2.

a.

It will take approximately 4.807 hours to have at least 1,000,000 bacteria in the new colony.

b.

The relationship described is exponential,

The equation is Number of bacteria = initial number of bacteria x (reproduction factor)^(time/hour)

We have,

1.

a.

To fill the bathtub, we need 20 gallons of water.

The rate at which the water is being filled is 2.5 gallons per minute.

Using the formula:

time = amount/rate

we get:

time = 20/2.5 = 8 minutes

b.

The relationship described is linear.

The equation relating the variables can be written as:

amount of water = rate x time + initial amount

where the rate is 2.5 gallons per minute, the initial amount is 0 gallons, and the amount of water is 20 gallons.

So, the equation is:

20 = 2.5t + 0

where t is the time in minutes.

2.

a.

The relationship described is exponential.

The equation relating the variables can be written as:

number of bacteria = initial number of bacteria x (reproduction factor)^(time/hour)

where the initial number of bacteria is 1, the reproduction factor is 4, and we need to find the time it takes to reach 1,000,000 bacteria.

So, we have:

1,000,000 = 1 x 4^(time/hour)

Taking the logarithm of both sides, we get:

log(1,000,000) = log(4^(time/hour))

6 = (time/hour) x log(4)

time/hour = 6/log(4)

time = (6/log(4)) x hour

time ≈ 4.807 hours

b.

The relationship described is exponential, and the equation relating the variables is:

Number of bacteria = initial number of bacteria x (reproduction factor)^(time/hour)

where the initial number of bacteria is 1, the reproduction factor is 4, and t is the time in hours.

Thus,

1.

a.

It will take 8 minutes to fill the bathtub.

b.

The relationship described is linear.

The equation is 20 = 2.5t + 0.

2.

a.

It will take approximately 4.807 hours to have at least 1,000,000 bacteria in the new colony.

b.

The relationship described is exponential,

The equation is Number of bacteria = initial number of bacteria x (reproduction factor)^(time/hour)

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The alternating series test can be used to show convergence of the alternating series I, II, and III given in the options and the correct answer to this question is Option A. I only.

The alternating series test is a method used to determine the convergence or divergence of alternating series. According to the alternating series test, an alternating series converges if the absolute value of its terms decreases monotonically to zero. In other words, if the absolute value of the terms in an alternating series eventually becomes smaller and smaller until it is less than or equal to a certain positive number, then the series converges.

In conclusion, the alternating series test can be used to show the convergence of series I and III, but not for series II. Therefore, the answer is (A) I only.

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It is important to interpret the results with caution and consider the potential limitations and sources of error in the data.

The Type of Dangerous Restraint Technique Training has a statistically significant impact on the number of lawsuits, injuries, and citizen complaints. The F-ratios for these three negative consequences are greater than the critical value, and their p-values are less than the alpha level of 0.05, indicating that the null hypothesis that there is no difference between the means of the groups can be rejected. This means that the Type of Dangerous Restraint Technique Training is associated with significant differences in the number of lawsuits, injuries, and citizen complaints.

The Type of Dangerous Restraint Technique Training does not have a statistically significant impact on the number of deaths. The F-ratio for the number of deaths is less than the critical value, and its p-value is greater than the alpha level of 0.05, indicating that the null hypothesis cannot be rejected. This means that the Type of Dangerous Restraint Technique Training is not associated with a significant difference in the number of deaths.

The Type of Dangerous Restraint Technique Training has its most statistically significant impact on the number of citizen complaints. The F-ratio for citizen complaints is the highest among all the negative consequences, and its p-value is the lowest, indicating that the Type of Dangerous Restraint Technique Training is associated with the most significant difference in the number of citizen complaints.

There are a few potential concerns about the data in the table. Firstly, the sample of police academies may not be representative of all police academies in the country, which may limit the generalizability of the findings. Secondly, the data may be subject to reporting bias or measurement error, which may affect the accuracy and reliability of the results. Thirdly, the ANOVA assumes that the data meet certain assumptions, such as normality and homogeneity of variances, which may not be met in this case. For example, the number of deaths is highly skewed towards the high end, and the variances of the groups may not be equal. These violations of assumptions may affect the validity and robustness of the ANOVA results. Therefore, it is important to interpret the results with caution and consider the potential limitations and sources of error in the data.

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The expected value of X is 8.

a) Here is a sketch of the density function p(x) with respect to the detection area:

            |    

            |    

            |    

            |    

            |    

            |    

            |    

            |    

            |      

_____________|_____________

  1      1.5   3    6    10

b) The formula for the expected value (or mean) of a continuous random variable X with density function p(x) is:

E(X) = ∫xp(x)dx

To find the expected value of X for the given density function, we need to split the integral into several parts based on the different intervals where p(x) takes different forms:

E(X) = ∫_(-∞)^1 xp(x)dx + ∫_1^2 xp(x)dx + ∫_2^3 xp(x)dx + ∫_3^6 xp(x)dx + ∫_6^10 xp(x)dx + ∫_10^∞ xp(x)dx

Note that the first and last integrals are both zero, since p(x) = 0 for x < 1 and x > 10. The other integrals can be evaluated as follows:

∫_1^2 xp(x)dx = ∫_1^2 (x-1)dx = [x^2/2 - x]_1^2 = 1/2

∫_2^3 xp(x)dx = ∫_2^3 (x-1)dx = [x^2/2 - x]_2^3 = 3/2

∫_3^6 xp(x)dx = ∫_3^6 (1/3)dx = 1

∫_6^10 xp(x)dx = ∫_6^10 (x/12)dx = [x^2/24]_6^10 = 5/2

Therefore, we have

E(X) = 0 + 1/2 + 3/2 + 1 + 5/2 + 0 = 8

So the expected value of X is 8.

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Answer:

58,000 / (π(2^2))

= 58,000/(4π)

= 14,500/π

= 4,615 people per square mile