7. What numbers must be eliminated from the
possible solution set of
X
A. 4, -1
B. 0,4
C. -1
D. 4
1
+
x-2x-4
11
2
x² - 6x +8

a) The random variable X is not normally distributed because it represents a count of vehicles passing the intersection per day, which is a discrete variable.

b) The probability that in a random sample of 60 days, 50 cars pass the intersection on average is 0.0002.

c) The probability that in a random sample of 60 days, fewer than 111 cars pass the intersection on average is 0.974.

b) The probability that in a random sample of 60 days, 50 cars pass the intersection on average can be approximated as follows: Since the average number of cars passing per day is 110, we would expect the average number of cars passing in 60 days to be 6600. However, due to random variation, the actual average number of cars passing in 60 days may be different. If we assume that the distribution of sample averages is approximately normal (due to the Central Limit Theorem), we can use the standard deviation of the population (4 cars per day) to estimate the standard deviation of the sample averages (which is called the standard error). The standard error is calculated by dividing the population standard deviation by the square root of the sample size: 4/[tex]\sqrt{(60)}[/tex] = 0.5164. Then, we can use a standard normal distribution table to find the probability of getting a sample average of 50 cars or less, given a mean of 110 and a standard error of 0.5164. The answer is approximately 0.0002.
c) Let Y be the random variable representing the sample average number of cars passing the intersection in 60 days. Y follows a normal distribution with a mean of 110 and standard error 4/[tex]\sqrt{(60)}[/tex] = 0.5164. We want to find P(Y < 111). To do this, we can standardize Y by subtracting the mean and dividing by the standard error: (111-110)/0.5164 = 1.936. Then, we can use a standard normal distribution table to find the probability of getting a value less than 1.936. The answer is approximately 0.974. Therefore, the probability that in a random sample of 60 days, fewer than 111 cars pass the intersection on average is 0.974.

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Answer:

  infinite solutions

Step-by-step explanation:

Apparently you want the solutions (or number of solutions) to the system of equations ...

The second equation is -2 times the first equation, so they both describe the same line. These are called "dependent" equations.

Every solution of one of them is a solution for the other, so the number of solutions is infinite.

The integral in cylindrical coordinates, but we are not required to evaluate it.

To convert the integral into cylindrical coordinates, we need to express the limits of integration and the volume element in terms of cylindrical coordinates.

In cylindrical coordinates, the region E is defined as:

0 ≤ θ ≤ π/2 (first octant)

0 ≤ r ≤ √(6cosθ + 3sin²θ) (intersection of cone and paraboloid)

0 ≤ z ≤ 6 - r²cos²θ - r²sin²θ (above xz-plane and inside cone and paraboloid)

The volume element in cylindrical coordinates is given by:

dV = r dz dr dθ

To see why, note that a small change in r, dr, results in a cylindrical shell of thickness dr, height dz, and radius r. The volume of this shell is given by 2πr dz dr, which is equal to r dz dr dθ after integrating over θ.

Substituting these expressions into the given integral, we get:

∫∫∫ E (x² + y²)^(1/2) dV

= ∫₀^(π/2) ∫₀^(√(6cosθ + 3sin²θ)) ∫₀^(6 - r²cos²θ - r²sin²θ) r (r²cos²θ + r²sin²θ)^(1/2) dz dr dθ

= ∫₀^(π/2) ∫₀^(√(6cosθ + 3sin²θ)) r (r²cos²θ + r²sin²θ)^(1/2) (6 - r²cos²θ - r²sin²θ) dr dθ

This is the integral in cylindrical coordinates, but we are not required to evaluate it.

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Ashley weighs [tex]$\boxed{75}$[/tex]pounds.

Let's use variables to represent the weights of the three people:

Let's say that Emily's weight is [tex]$E$[/tex] pounds. Then we know that:

Morgan's weight is [tex]$E+30$[/tex] pounds (since Morgan is 30 pounds heavier than Emily)

Ashley's weight is [tex]$E+6$[/tex] pounds (since Emily is 6 pounds lighter than Ashley)

We also know that the total weight of all three people is 243 pounds:

[tex]$$M+E+A=243$$[/tex]

Substituting in the expressions for Morgan's and Ashley's weights in terms of Emily's weight, we get:

[tex]$$(E+30)+E+(E+6)=243$$[/tex]

Simplifying the left side of the equation:

[tex]$$3 E+36=243$$[/tex]

Subtracting 36 from both sides:

[tex]$$3 E=207$$[/tex]

Dividing both sides by 3 :

[tex]$$E=69$$[/tex]

So Emily weighs 69 pounds. Using the expressions we derived earlier, we can find the weights of Morgan and Ashley:

Morgan's weight is [tex]$E+30=69+30=99$[/tex] pounds

Ashley's weight is [tex]$E+6=69+6=75$[/tex] pounds

Therefore, Ashley weighs [tex]$\boxed{75}$[/tex] pounds.

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Therefore, the estimated homework grade for a test score of 68 is 69

The following is the linear regression equation that represents the link between the anticipated homework grade and the test grade:

y = 1.20x - 14.32

Forecast: x = 69

Technology allows for the creation of the linear model using either excel or a linear regression calculator.

Using a linear regression calculator which gives the linear equation in the form :

y = bx + c

y = 1.20x - 14.32

y = Test grade ; x = homework grade

Slope, b = 1.20 ; intercept, c = - 14.32

Using the model equation obtained :

Test grade, y = 68

Homework grade, x

y = 1.20x - 14.32

68 = 1.20x - 14.32

68 + 14.32 = 1.20x

82.32 = 1.20x

x = (82.32 ÷ 1.20)

x = 68.6

x = 69 (nearest integer)

As a result, a test score of 68 corresponds to an expected homework grade of 69.

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A mathematics teacher wanted to see the correlation between test scores and

homework. The homework grade (x) and test grade (y) are given in the accompanying

table. Write the linear regression equation that represents this set of data, rounding

all coefficients to the nearest hundredth. Using this equation, estimate the homework

grade, to the nearest integer, for a student with a test grade of 68.

Homework Grade (x) Test Grade (y)

X | Y

88 | 90

55 | 55

89 | 91

85 | 88

61 | 52

76 | 76

76 | 81

61 | 59

The value of k for which the curves of the cylinders z = x² and 2 = 2y² lie on the paraboloid z = k(x² + y²) is k = 1

Given data ,

To find the value of k for which the curves of the cylinders z = x² and 2 = 2y² lie on the paraboloid z = k(x² + y²), we need to substitute the equations of the cylinders into the equation of the paraboloid and solve for k.

Cylinder 1: z = x²

Cylinder 2: 2 = 2y²

Equation of the paraboloid: z = k(x² + y²)

Substituting z = x^2 into z = k(x² + y²):

x² = k(x² + y²)

Rearranging the equation:

x² - kx² - k(y²) = 0

Factoring out x^2 from the first two terms:

x²(1 - k) - k(y²) = 0

Since the equation should hold true for all values of x and y, the coefficients of x² and y² on the left-hand side of the equation should be equal to zero.

1 - k = 0 --> k = 1

Therefore, the value of k for which the curves of the cylinders z = x² and 2 = 2y² lie on the paraboloid z = k(x² + y²) is k = 1

Hence , the cylinder is solved

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The variance for the sample mean can be calculated using the formula σ^2/n. Therefore, in this scenario, the variance for the sample mean would be σ^2/n = 15^2/100 = 2.25.

The variance of the sample mean measures how spread out the sample means are likely to be from the population mean. It is a measure of the variability in the sampling distribution of the mean. The formula to calculate the variance of the sample mean is σ²⁽ⁿ, where σ is the population standard deviation and n is the sample size.

In this scenario, the population standard deviation is given as 15, and the sample size is 100. Therefore, using the formula, we can calculate the variance of the sample mean as follows:

σ²⁽ⁿ = 15²/100 = 2.25

This means that the variance of the sample mean is 2.25. It indicates that if we take multiple samples of size 100 from this population, the mean of each sample is expected to vary around the population mean by approximately 2.25. This measure of variability is important in determining the precision of the sample mean as an estimator of the population mean.

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Answer:

Time after 90 min (or 1hr 30 min) = 3:15 pm

Answer:

Both of these animals stages are common to all animals, they vary significantly among all species.

Step-by-step explanation:

Basically,they are both in the same stages of life but its different to all species.

Hope this helps!

According to the distance, you and your wife will cross each other at 8:14 am.

Now, we can use the formula to calculate the time taken by both of you to cover the distance. We know that you start driving from Kothrud at 7:00 am and your speed is 80 km/hr. Let's assume that you both meet after t hours. Then, your distance covered can be calculated as:

Distance covered by you = Speed x Time = 80t km

Similarly, your wife starts driving from Chembur at 7:30 am and her speed is 70 km/hr. By the time she reaches the meeting point, she would have driven for (t-0.5) hours. Her distance covered can be calculated as:

Distance covered by your wife = Speed x Time = 70(t-0.5) km

Now, we know that the total distance covered by both of you is equal to the distance between Chembur and Kothrud, which is 150 km. Therefore, we can equate the two distances to find the value of t:

Distance covered by you + Distance covered by your wife = 150

80t + 70(t-0.5) = 150

150t = 185

t = 1.23 hours

So, you both will meet after 1.23 hours from the time you started driving. But we need to convert this to the actual time. Since you started at 7:00 am and your meeting time is after 1.23 hours, your meeting time will be:

7:00 am + 1 hour and 14 minutes = 8:14 am

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The exponential function shown in the graph is given as follows:

B) [tex]y = \left(\frac{1}{2}\right)^{x - 3} + 1[/tex]

An exponential function has the definition presented as follows:

[tex]y = ab^x[/tex]

In which the parameters are given as follows:

The function has an horizontal asymptote at y = 1, hence:

[tex]y = ab^x + 1[/tex]

When x = 0, y = 9, hence the horizontal shift is obtained as follows:

9 = (1/2)^(k) + 1

1/2^k = 8

2^-k = 2^3

k = -3.

Thus the function is:

B) [tex]y = \left(\frac{1}{2}\right)^{x - 3} + 1[/tex]

The graph is given by the image presented at the end of the answer.

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The derivative of the series f(x) = 1 + 4x/1! + 16[tex]x^{2}[/tex]/2! + 16[tex]x^{3}[/tex]/3! + 256[tex]x^{4}[/tex]/4! + 1024[tex]x^{5}[/tex]/5! + ...

The given series is an infinite sum of terms, each of which is a polynomial in x divided by a factorial. To find the derivative of this series, we need to differentiate each term in the series and then add them up.

The given series can be written in summation notation as follows

f(x) = Σ ([tex]4^{n}[/tex][tex]x^{n}[/tex] ) / n!

Where Σ represents the summation from n=0 to infinity.

To differentiate a term of the form ([tex]4^{n}[/tex][tex]x^{n}[/tex]) / n!, we use the power rule of differentiation and the fact that the derivative of n! is n! if n is a positive integer. The derivative of ([tex]4^n x^n[/tex]) / n! is

d/dx [([tex]4^n x^n[/tex]) / n!] = ([tex]4^{n}[/tex]*n*[tex]x^{n-1}[/tex]) / n!

d/dx [([tex]4^n x^n[/tex]) / n!] = ([tex]4^{n}[/tex] *[tex]x^{n-1}[/tex])) / (n-1)!

Using this formula, we can find the derivative of each term in the series and then add them up to get the derivative of the series. We get

f(x) = 1 + 4x/1! + 16[tex]x^{2}[/tex]/2! + 16[tex]x^{3}[/tex]/3! + 256[tex]x^{4}[/tex]/4! + 1024[tex]x^{5}[/tex]/5! + ...

f'(x) = 4 + 8x + 8[tex]x^{2}[/tex] + [tex]64x^3/3! + 256x^4/4! + 1024x^5/5![/tex] + ...

We can simplify this expression by factoring out 4 from each term

f'(x) = 4(1 + [tex]2x/1! + 4x^2/2! + 64x^3/3! + 256x^4/4! + 1024x^5/5![/tex] + ...)

f'(x) = 4(Σ ([tex]4^{n}[/tex] [tex]x^{n}[/tex]) / n!)

f'(x) = 4f(x)

Where Σ represents the summation from n=0 to infinity.

Hence, This shows that the derivative of the series is equal to 4 times the original series. In other words, f'(x) = 4f(x). This is an interesting property of the series, which can be used to simplify calculations involving derivatives of the series.

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The probability of an event and the probability of its complement always sum to: option 3) 1

The probability of an event and the probability of its complement always sum to 1. This is because the complement of an event is the outcome that does not occur in that event. Therefore, the probability of either the event or its complement happening is equal to the total probability of all possible outcomes, which is always 1. The sum of the probabilities of the event and its complement must therefore also be 1. The answer is option 3.
The probability of an event and the probability of its complement always sum to:

Your answer: 3. 1

Explanation: The probability of an event (P(A)) and the probability of its complement (P(A')) are the two possible outcomes of an event. The complement is the probability that the event does not occur. Since these two outcomes cover all possible scenarios, their probabilities must add up to 1. In other words:

P(A) + P(A') = 1

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The area of the region is 9 square units.

To find the area between the given curves, you should first sketch the regions, then use integral calculus to calculate the area of each region.

a) To sketch the region between y = 3x² + 2, y = 0, x = 1, and x = 2, follow these steps:

1. Plot y = 3x² + 2, a parabola opening upwards with vertex at (0, 2).
2. Plot y = 0, which is the x-axis.
3. Plot x = 1 and x = 2, two vertical lines.

The region is enclosed between these curves. To find its area:

1. Integrate the function y = 3x² + 2 with respect to x from 1 to 2: ∫(3x² + 2) dx from 1 to 2.
2. Calculate the integral and evaluate it: [(x³ + 2x)] from 1 to 2.
3. Subtract the lower limit value from the upper limit value: (8 + 4) - (1 + 2) = 9.


For the other regions (b, c, and d), follow a similar process by sketching the curves, setting up the integrals, and calculating the areas.

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The correct answer for area shared by the circle and cardioid is [tex]12\pi[/tex] units.

Given:

Circle [tex]r_2 = 6[/tex]

Cardioid = [tex]6(1-cos\theta)[/tex]

Value of [tex]\theta[/tex] ranges from [tex]\theta = 0[/tex] to [tex]\theta = \pi[/tex]

The area shared by the circle and cardioid is given by the Integral:

[tex]A = \int\limits^\pi_0 {\dfrac{1}{2}r^2 } \, d\theta[/tex]

[tex]r= 6(1-cos\theta)[/tex]

[tex]= \int\limits^\pi_0 {\dfrac{1}{2}6(1-cos\theta)^2 } \, d\theta[/tex]

[tex]= [18\theta - 36 sin\theta + 6\theta]_0^{\pi}[/tex]

[tex]A =12\pi[/tex]

Area is [tex]12\pi[/tex] square units.

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Check the picture below.

so the area of it, is really the area of a 16x16 square and four triangles with a base of 16 and a height of 15.

[tex]\stackrel{ \textit{\LARGE Areas}}{\stackrel{ square }{(16)(16)}~~ + ~~\stackrel{ \textit{four triangles} }{4\left[\cfrac{1}{2}(16)(15) \right]}}\implies 256~~ + ~~480\implies \text{\LARGE 736}~cm^2[/tex]

a. The probability that the bill was paid on time is 340/600 = 0.567.

b. The probability that the bill was not paid on time is the sum of the probabilities that it was paid up to 30 days late, between 30 and 60 days late, and after 60 days: (120+50+90)/600 = 0.433.

c. The probability that the bill was paid late (up to 60 days late) is (120+50)/600 = 0.283.

At a cable company, the probability that a customer subscribes to internet service is 0.42, the probability that a customer subscribes to both internet service and phone service is 0.23, and the probability that a customer subscribes to internet service or phone service is 0.70. (Give answer to two decimal places.)

Determine the probability that a customer subscribes to phone service.

Let I be the event that a customer subscribes to internet service, and let P be the event that a customer subscribes to phone service.

Then, we are given:

P(I) = 0.42

P(I and P) = 0.23

P(I or P) = 0.70

We want to find P(P).

We can use the formula:

P(I or P) = P(I) + P(P) - P(I and P)

Substituting in the given values, we get:

0.70 = 0.42 + P(P) - 0.23

P(P) = 0.51

Therefore, the probability that a customer subscribes to phone service is 0.51.

A password consists of two lowercase letters followed by three digits. How many different passwords are there? (Round to three decimals.)

a. If repetition is allowed.

b. If repetition is not allowed.

c. What is the probability of selecting a password without repetition?

a. If repetition is allowed, there are 26 choices for each of the two letters and 10 choices for each of the three digits.

Therefore, the total number of different passwords is 26^2 x 10^3 = 676,000.

b. If repetition is not allowed, there are 26 choices for the first letter, 25 choices for the second letter (since it cannot be the same as the first), 10 choices for the first digit, 9 choices for the second digit (since it cannot be the same as the first), and 8 choices for the third digit (since it cannot be the same as the first two).

Therefore, the total number of different passwords is 26 x 25 x 10 x 9 x 8 = 468,000.

c. The probability of selecting a password without repetition is the number of passwords without repetition divided by the total number of possible passwords.

Therefore, the probability is 468,000/676,000 = 0.691.

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Using the dual simplex method, the optimal solution of Z = -2a - c Subject to a + b - c + d = 5, 5a - 2b + 4c + e = 8 and a, b, c, d, e ≥ 0 is 10/3

The given LP can be written in standard form as:

max z = -2a - c + 0p + 0q

s.t. a + b - c + p = 5

a - 2b + 4c + q = 8

a, b, c, p, q ≥ 0

The initial tableau for the dual simplex method is:

BV a b c p q RHS

p 1 1 -1 1 0 5

q 1 -2 4 0 1 8

z -2 0 -1 0 0 0

The entering variable is c as it has the most negative coefficient in the objective row. We select the leaving variable using the minimum ratio test, which gives p as the leaving variable.

We perform the pivot operation at the intersection of row s1 and column c to obtain the new tableau:

BV a b c p q RHS

c -1/2 3/2 1/2 1/2 0 5/2

q 0 1 2 -1 1 3

z -1 3 0 2 0 5

The objective value has improved from 0 to 5, indicating that the current solution is optimal. Therefore, the optimal solution is a=5/2, b=3, c=0, with z=5.

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The characteristic equation for the differential equation z''(x) + z(x) = 5e^(-x) is r^2 + 1 = 0, which has roots r = ±i. Therefore, the general solution to the homogeneous equation is z_h(x) = c1 cos(x) + c2 sin(x).

To find a particular solution to the non-homogeneous equation, we can use the method of undetermined coefficients. Since the right-hand side is e^(-x), we can guess a particular solution of the form z_p(x) = Ae^(-x), where A is a constant to be determined. Plugging this into the differential equation, we get:
z''_p(x) + z_p(x) = 5e^(-x)
Ae^(-x) + Ae^(-x) = 5e^(-x)
2Ae^(-x) = 5e^(-x)
A = 5/2
Therefore, z_p(x) = (5/2)e^(-x). The general solution to the non-homogeneous equation is then z(x) = z_h(x) + z_p(x) = c1 cos(x) + c2 sin(x) + (5/2)e^(-x).
To find the values of c1 and c2 that satisfy the initial conditions, we use z(0) = 0 and z'(0) = 0:
z(0) = c1 cos(0) + c2 sin(0) + (5/2)e^(0) = c1 + (5/2) = 0
z'(0) = -c1 sin(0) + c2 cos(0) - (5/2)e^(0) = c2 - (5/2) = 0
Solving these equations simultaneously, we get c1 = -5/2 and c2 = 5/2. Therefore, the solution to the initial value problem is:
z(x) = (-5/2)cos(x) + (5/2)sin(x) + (5/2)e^(-x)

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As per the similarity rule in angles, we can here find the value of x to be = 85°.

One of the types of angles created when a transversal intersects two parallel lines are corresponding angles. These are created in the transversal's equivalent or matching corners.

Applications for corresponding angles can be found in both mathematics and physics. Knowing the comparable angles can help you identify unknown angles, determine the congruence of two figures, and other geometry-related difficulties.

Here in the question,

As per the angle similarity rule:

(x + 60) ° = 145°

Subtracting 60 from both the sides:

⇒ x° + 60° - 60° = 145° - 60°

⇒ x° = 85°

Hence, as per the similarity rule in angles, we can here find the value of x to be = 85°.

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For D:= {(x, y) : 1 ≥ 0, and x² + y² ≤ 9}, a simpler expression using polar coordinates is D:= {(r, θ) : 0 ≤ r ≤ 3, 0 ≤ θ ≤ 2π}.

To find simpler expressions for each region, we can convert from Cartesian to other coordinate systems, such as polar or cylindrical coordinates.


Converting to polar coordinates, r² = x² + y². Since x² + y² ≤ 9, r² ≤ 9, and 0 ≤ r ≤ 3. The angle θ ranges from 0 to 2π, covering the entire circle. So the given eqution conver the whole circle of radius 3 unit with center at (0,0).

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a. The linear predictor of X2 given X1 is given by:

x1(1) = E[X2|X1] = E[0.1X1 + 0.2W2 + W1|X1] = 0.1X1.

b. The linear predictor of X3 given X1 and X2 is given by:

x2(1) = E[X3|X1,X2] = E[0.1X2 + 0.2X1 + 0.2W3 + W2|X1,X2] = 0.1X2 + 0.2X1.

The linear predictor of X4 given X2 and X3 is given by:

x3(1) = E[X4|X2,X3] = E[0.1X3 + 0.2X2 + 0.2W4 + W3|X2,X3] = 0.1X3 + 0.2X2.

c. The linear predictor of X7 given X4, X5, and X6 is given by:

x4(h) = E[X7|X4,X5,X6] = 0.1X6 + 0.2X5.

d. The best linear predictor of Xt-h given X+, X4-1, ..., Xt-h+1 is given by:

X7(h) = E[Xt-h|X+,X4-1,...,Xt-h+1] = aXt-h+ bXt-h-1.

From the solution in Question 1, we have:

[tex]a = (phi2*(phi1+1) - phi1phi2)/(1-phi1^2-phi2^2),[/tex]

[tex]b = (phi1(phi1+1) - phi2*(phi1+phi2))/(1-phi1^2-phi2^2).[/tex]

Thus, the linear predictor of X4 given X+, X3, X2 is:

X7(3) = E[X1|X+,X3,X2] = aX4 + bX3 = -0.2X2 + 0.1X3.

This means that X4 is predicted based on X2 and X3, with a negative weight on X2 and a positive weight on X3.

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The margin of error for the sample proportion of students who watch college basketball is 0.027 or 2.7%.

To find the margin of error and a 95% confidence interval for the percent of college students who watch college basketball, we can use the following formula:

CI = P ± Zc * √(P(1-P)/n)

where:

P is the sample proportion of students who watch college basketball

n is the sample size

Zc is the critical value for a 95% confidence interval, which is 1.96 for large samples

From the problem statement, we have:

n = 1800

P = 420/1800 = 0.2333 (rounded to four decimal places)

Substituting these values into the formula, we get:

CI = 0.2333 ± 1.96 * √(0.2333*(1-0.2333)/1800)

Simplifying this expression, we get:

CI = 0.2333 ± 0.027

Therefore, the 95% confidence interval for the percent of college students who watch college basketball is (0.2063, 0.2603). We can be 95% confident that the true percentage of college students who watch college basketball is between 20.63% and 26.03%.

To find the margin of error, we can simply use the formula:

ME = Zc * √(P(1-P)/n)

Substituting the values we have, we get:

ME = 1.96 * √(0.2333*(1-0.2333)/1800) = 0.027

Therefore, the margin of error for the sample proportion of students who watch college basketball is 0.027 or 2.7%.

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The trip time that constitutes the 30th percentile is approximately 4.77 minutes based on standard deviation.

To find the 30th percentile trip time between the two bus stops, we'll use the z-score formula and then convert the z-score back to the trip time using the mean and standard deviation. Here are the steps:

1. Find the z-score corresponding to the 30th percentile. You can use a standard normal table or a calculator with a percentile-to-z-score function. For the 30th percentile, the z-score is approximately -0.52.

2. Use the z-score formula to convert the z-score back to the trip time:

  Trip time = (z-score * standard deviation) + mean
  Trip time = (-0.52 × 1.4 minutes) + 5.5 minutes

3. Calculate the trip time:

  Trip time = (-0.728 minutes) + 5.5 minutes = 4.772 minutes

4. Round the trip time to 2 decimal places and add the units:

  Trip time = 4.77 minutes

So, the trip time that constitutes the 30th percentile is approximately 4.77 minutes.

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a) The derivative of f(x)  = 3x² +5x-6 is f'(x) = 6x + 5.

b) The value of f'(-3) = -13.

a) To find the derivative of f(x) using the definition of the derivative, we use the limit process:

f'(x) = [tex]\lim_{h \to 0}[/tex] [f(x+h) - f(x)] / h

Substituting the given function f(x) = 3x² +5x-6 into the above formula, we get:

f'(x) = [tex]\lim_{h \to 0}[/tex] [(3(x+h)² +5(x+h) -6) - (3x² +5x -6)] / h

Simplifying the above expression, we get:

f'(x) = [tex]\lim_{h \to 0}[/tex] [3x² + 6xh + 3h² + 5x + 5h - 6 - 3x² - 5x + 6] / h

f'(x) = [tex]\lim_{h \to 0}[/tex] [3h² + 6xh + 5h] / h

f'(x) = [tex]\lim_{h \to 0}[/tex] (3h + 6x + 5)

Taking the limit as h approaches 0, we get:

f'(x) = 6x + 5

b) To find f'(-3), we substitute x = -3 into the derivative formula f'(x) = 6x + 5:

f'(-3) = 6(-3) + 5 = -13.

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A. The sample correlation indicates a negative, weak relationship between self-reported political orientation and support for the legalization of medical marijuana.

Correlation is a statistical measure that describes the strength of a relationship between two variables. It is used to measure how closely related two variables are and the direction of the relationship. Correlation can range from -1 to +1, where -1 indicates a perfect negative correlation, 0 indicates no correlation, and +1 indicates a perfect positive correlation.

B. Yes, the correlation is significantly different from 0 (no relationship) in the population. The correlation coefficient of -18 is statistically significant with a p-value of < 0.001. This indicates that the correlation between self-reported political orientation and support for the legalization of medical marijuana exists even in the larger population.

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Complete Question:

The following correlation was found between self-reported political orientation (1 = Extremely Liberal; 9 = Extremely Conservative) and support for the legalization of medical marijuana (1 = Strongly Against; 5 = Strongly Support). Is this correlation significantly different from 0 (no relationship) in the population? (Total = 46 points) = Data: r=-18, N=412 a. Fully interpret the sample correlation. That is, indicate the direction, the size, and define what the correlation means in the context of these two variables. b. Is the correlation significantly different from 0 (no relationship) in the population?

The probability of picking a 7 is

The sample space symbolically represents all conceivable outcomes of an experiment or arbitrary trial and can be represented by the letter "S".

The sample space consists of four cards: 6, 7, 8, and 9.

S = 4

Since there is only one card with a value of 7, the probability of picking a 7 is 1 out of 4 or 1/4. Therefore, P(7) = 1/4.

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The probability of selecting a random sample of 100 marbles that has a mean diameter greater than 0.851 cm is approximately 15.87%.

To find the probability of selecting a sample of 100 marbles with a mean diameter greater than 0.851 cm, first, we'll compute the standard error (SE) of the sample mean:

In this case,
Mean diameter (μ) = 0.850 cm
Standard deviation (σ) = 0.010 cm
Sample size (n) = 100 marbles
Target mean diameter (x) = 0.851 cm

SE = σ / √n = 0.010 cm / √100 = 0.001 cm

Next, we'll calculate the z-score:

z = (x - μ) / SE = (0.851 - 0.850) / 0.001 = 1

Now, we need to find the probability (P) that corresponds to this z-score. You can use a z-table, a calculator, or statistical software to find the probability. In this case, P(Z > 1) ≈ 0.1587.

So, selecting a random sample of 100 marbles having a mean diameter greater than 0.851 cm has a probability of approximately 15.87%.

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The lengths of the sides of the triangle are 2√(3), 2√(3) and 4√(3)

The area of the triangle using a vector product is 4 √(2) square units

Using these vectors, we can find the lengths of the sides of the triangle by computing the magnitudes of the vectors. The magnitude of a vector is given by the square root of the sum of the squares of its components. For example, the length of the side PQ is given by the magnitude of the vector PQ, which is:

|PQ| = √((2-0)² + (5-3)² + (3-1)²) = √(4 + 4 + 4) = 2 √(3)

Similarly, we can compute the lengths of the sides QR and RP to be:

|QR| = √((0--2)² + (3-1)² + (1--1)²) = √(4 + 4 + 4) = 2 √(3)

|RP| = √((2--2)² + (5-1)² + (3--1)²) = √(16 + 16 + 16) = 4 √(3)

Let's choose sides PQ and QR as the adjacent sides. Then, the vector product of PQ and QR is given by:

PQ x QR = <2-0, 5-3, 3-1> x <0--2, 3-1, 1--1>

= <2, 2, 2> x <2, 2, 2>

= <0, 8, -8>

The magnitude of PQ x QR is |PQ x QR| = √(0² + 8² + (-8)²) = 8 √(2).

Therefore, the area of the parallelogram formed by PQ and QR is 8 √(2), and the area of the triangle is half of that, or 4 √(2).

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The function has an absolute extrema at the point (2, 45). Since there are no critical points in the domain, this is also the only relative extrema. Your answer: The exact location of the absolute and relative extrema of the function f(x) = 18x + 9 with domain (-2, 2] is at the point (2, 45).he given function is f(x) = 18x + 9 with domain (-2, 2].

To find the extrema of the function, we need to find the critical points. These are the points where the derivative is zero or undefined.
f'(x) = 18
The derivative is a constant function, which is always positive. Therefore, the function is increasing on the entire domain (-2, 2].
Since the function is increasing on the domain, it does not have any relative or absolute extrema.
Therefore, the exact location of all the relative and absolute extrema of the function is none.
Select- at (x, y) = none. Find the exact location of all the relative and absolute extrema of the function. Let's break down the given information:
Function: f(x) = 18x + 9
Domain: (-2, 2]
To find the extrema (minimum and maximum points) of a function, we need to first find the critical points by taking the derivative of the function and setting it to zero. The derivative helps us identify where the function's slope changes.
1. Calculate the derivative of the function:
f'(x) = d(18x + 9)/dx = 18 (Since the derivative of a constant is 0)
2. Set the derivative equal to zero and solve for x:
18 = 0
There are no solutions for x, meaning there are no critical points within the domain.
3. Now, check the endpoints of the domain to see if there are any absolute extrema. The domain has one open endpoint (-2) and one closed endpoint (2). We only need to check the closed endpoint because the function will not have an extrema at the open endpoint.
Evaluate the function at x = 2:
f(2) = 18(2) + 9 = 45
Therefore, the function has an absolute extrema at the point (2, 45). Since there are no critical points in the domain, this is also the only relative extrema.

Your answer: The exact location of the absolute and relative extrema of the function f(x) = 18x + 9 with domain (-2, 2] is at the point (2, 45).

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