Which of the following is a zero of the polynomial x³ 3x² 3x?A - 1B - 2C 1D 2

The limit as x approaches infinity of the given expression is 7/2.

In mathematics, a limit is the value that a function approaches as the input approaches some value. Limits are essential to calculus and mathematical analysis, and are used to define continuity, derivatives, and integrals.

lim t → ∞ ∫1^(t) 7x^(-3) dx

Evaluating the integral:

lim t → ∞ [-7x^(-2) / 2]_1^(t)

= lim t → ∞ [-7t^(-2) / 2 + 7 / 2]

= 7 / 2

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The dimensions of the cuboid are 4cm, (x+1)cm, and (x+11)cm, with a volume of [tex]924cm^3[/tex].

To find the value of 'x' and determine the dimensions of the cuboid, we can use the formula for the volume of a cuboid, which is given by V = lwh, where V represents the volume, l is the length, w is the width, and h is the height.

In this case, we are given that the volume is [tex]924cm^3[/tex]. We can substitute the given dimensions into the formula and solve for 'x'.

So, the equation becomes:

924 = 4(x + 1)(x + 11)

Expanding and simplifying the equation, we have:

[tex]924 = 4(x^2 + 12x + x + 11)\\924 = 4(x^2 + 13x + 11)[/tex]

Rearranging the equation, we get:

[tex]x^2 + 13x + 11 = 924/4\\x^2 + 13x + 11 = 231\\x^2 + 13x + 11 - 231 = 0\\x^2 + 13x - 220 = 0[/tex]

Now we can solve this quadratic equation using factoring, completing the square, or the quadratic formula. Once we find the value of 'x', we can substitute it back into the dimensions of the cuboid, which are 4cm, (x+1)cm, and (x+11)cm, to determine the actual dimensions.

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Answer:

Step-by-step explanation:

4×(x+1)×(x+11)=924  ----- times all 3 sides together, we re told what that equals

(x+1)(x+11)=x²+12x+11 ------ expand the brackets

4×(x²+12x+11)=4x²+48x+44 ------  times it by 4

4x²+48x+44=924cm³ ------  make it equal what we are told (924)

x²+12x+11=231  ------ all divisble by 4

x²+12x-220=0  -------- make the equation =0

(x-10)(x+22)  ------ factorise

x=10,x=-22    ------ solve for x

4cm,11cm,21cm   ----  you have the 3 dimensions

You can't have a minus of a side so therfore the correct answer is x=10

We were told that the sides equal (x+1) - 10+1=11cm

(x+11) - 10+11=21cm

Charlie starts with $984.20 in his savings account and uses $381.80 to buy his plane ticket. This leaves him with:

$984.20 - $381.80 = $602.40

Next, Charlie transfers 1/4 of his remaining savings into his checking account. To do this, he needs to find 1/4 of $602.40:

(1/4) x $602.40 = $150.60

Charlie transfers $150.60 from his savings account to his checking account, leaving him with:

$602.40 - $150.60 = $451.80

Therefore, Charlie has $451.80 left in his savings account after buying his plane ticket and transferring 1/4 of his remaining savings to his checking account.

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The height of BC is 14 meters.

Angle BMC is approximately 37.41 degrees.

Angle AMB is approximately 52.59 degrees.

To solve the problem, we can use the properties of similar triangles.

Let's consider triangles BMC and AMB.

Height of BC:

Since triangles BMC and AMB are similar, we can set up the following proportion:

BC / AM = MC / BM

Plugging in the given values, we have:

BC / 24 = 18.3 / (24 + BC)

Cross-multiplying the equation:

BC(24 + BC) = 18.3 × 24

Expanding and rearranging the equation:

24BC + BC² = 439.2

Rearranging to quadratic form:

BC² + 24BC - 439.2 = 0

Now we can solve this quadratic equation.

Factoring the equation or using the quadratic formula, we find:

(BC - 14)(BC + 38.8) = 0

Since the height cannot be negative, BC = 14 meters.

Angle BMC:

To find the angle BMC, we can use the inverse tangent function:

tan(BMC) = BC / MC

tan(BMC) = 14 / 18.3

BMC = arctan(14 / 18.3)

Using a calculator, we find BMC ≈ 37.41 degrees.

Angle AMB:

Since angle AMB is complementary to angle BMC, we can calculate it by subtracting BMC from 90 degrees:

AMB = 90 - BMC

AMB = 90 - 37.41

AMB ≈ 52.59 degrees.

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The point where ∅ intersects the unit Circle is approximately (-0.759, 0.651).

a. To determine the quadrant in which the angle ∅ = 8/3 radians belongs, we can first convert the angle into degrees by multiplying it by 180/π.
∅ = (8/3) * (180/π) ≈ 152.73 degrees.
Since 152.73 degrees lies between 90 and 180 degrees, the angle ∅ belongs to the 2nd quadrant. So, the numerical value is 2.
b. The reference angle for ∅ is the acute angle formed between the terminal side of the angle and the x-axis. Since ∅ is in the 2nd quadrant, we can find the reference angle by subtracting the angle from 180 degrees.
Reference angle = 180 - 152.73 ≈ 27.27 degrees.
To convert it back to radians, multiply by π/180:
Reference angle = (27.27) * (π/180) ≈ 0.476 radians.
c. To find the point where ∅ intersects the unit circle, we can use the trigonometric functions sine and cosine.
For a unit circle with radius 1, the coordinates (x, y) are given by:
x = cos(∅) and y = sin(∅).
So, using ∅ = 8/3 radians:
x = cos(8/3) ≈ -0.759
y = sin(8/3) ≈ 0.651
Therefore, the point where ∅ intersects the unit circle is approximately (-0.759, 0.651).

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The cosine of π/3 is 1/2 and the sine of π/3 is √3/2. So the point where 0 intersects the unit circle is (cos(8/3π), sin(8/3π)) = (1/2, -√3/2).

a. The angle 0 = 8/3π is in the second quadrant because it lies between π and 3π/2.

b. The reference angle for 0 in radians is π/3 because 0 is 8/3π which is greater than 2π and less than 3π.

c. To find the point where 0 intersects the unit circle, we need to find the cosine and sine values of π/3. Since π/3 is a common angle, we can use the special triangles to determine its cosine and sine values. In the 30-60-90 triangle, the side opposite the 60 degree angle is √3 times the length of the shorter leg.

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Using the method of substitution to solve the system of equations, the solution to the system of equations is:

x = 47/2, y = 19

We can use the method of substitution to solve the given system of equations.

From the first equation, we have:

-2y = -38

Dividing both sides by -2, we get:

y = 19

Now we can substitute this value of y into the second equation:

-2x + 3y = 10

-2x + 3(19) = 10

Simplifying and solving for x, we get:

-2x + 57 = 10

-2x = -47

x = 47/2

Therefore, the solution to the system of equations is:

x = 47/2, y = 19

The system is not dependent, so there is no need to express the solution set in terms of one of the variables.

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The correct answer is option (c) 2.06.  For every dollar of debt, Blaine and Lindsay have approximately $2.06 in assets

The asset-to-debt ratio for Blaine and Lindsay McDonald can be calculated by dividing their total assets by their total debt. Using the given values, the calculation would be as follows:

Asset-to-debt ratio = Total assets / Total debt

                   = $346,000 / $168,000

The asset-to-debt ratio is a financial metric that provides insight into the financial health and leverage of an individual, company, or entity. It measures the proportion of assets to debt and is used to assess the ability to meet financial obligations and the level of risk associated with the amount of debt.

In this case, Blaine and Lindsay McDonald have total assets valued at $346,000 and total debt of $168,000. By dividing the total assets by the total debt, we obtain the asset-to-debt ratio of approximately 2.06. This means that for every dollar of debt, Blaine and Lindsay have approximately $2.06 in assets. A higher asset-to-debt ratio generally indicates a stronger financial position and lower risk, as there are more assets available to cover the debt obligations.

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To approximate the sum with an error of magnitude less than 5×10−6, we can use the alternating series test and the remainder estimate for alternating series. The alternating series test tells us that the sum of an alternating series is between any two consecutive partial sums. Therefore, we can approximate the sum by computing the first few partial sums until the difference between two consecutive partial sums is less than 5×10−6.

Let's start by computing the first few partial sums:
S1 = 1/4!
S2 = 1/4! - 1/8!
S3 = 1/4! - 1/8! + 1/12!
S4 = 1/4! - 1/8! + 1/12! - 1/16!
We can use a calculator to compute these partial sums and get:
S1 ≈ 0.00004166667
S2 ≈ 0.00004114583
S3 ≈ 0.00004166666
S4 ≈ 0.00004166667
We can see that the difference between S3 and S4 is less than 5×10−6, so we can approximate the sum as:
∑n=0[infinity](−1)n 1 (4n)! ≈ S3 = 0.00004166666
To estimate the error of this approximation, we can use the remainder estimate for alternating series:
|Rn| ≤ an+1
where Rn is the error of the nth partial sum, and an+1 is the absolute value of the next term in the series. In this case, an+1 = 1/[(4n+4)!], so we have:
|Rn| ≤ 1/[(4n+4)!]
We can use a calculator to find the smallest n such that |Rn| < 5×10−6:
1/[(4n+4)!] < 5×10−6
n ≥ 9
Therefore, the error of our approximation is less than 1/[(4×9+4)!] ≈ 2.8×10−13, which is smaller than 5×10−6.

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we need to find the probability density function (pdf) of U = Z^2, where Z is a standard normal random variable. Then we need to show that U follows a gamma distribution with parameters a = λ = 1/2 and find the value of г(1/2) which is √π.

(1) To find the pdf of U, we can use the transformation method. Let g(x) be the pdf of Z. Then, we can write U = Z^2 and solve for Z to get Z = ± √U. Taking the positive root, we have Z = √U. Now, using the change of variables formula, we can write the pdf of U as fU(u) = fZ(√u) * (du/dz), where du/dz = 2z (since Z = √U). Therefore, fU(u) = (1/√(2π)) * e^(-(√u)^2/2) * (1/(2√u)), which simplifies to fU(u) = u^(-1/2) * (1/√(2π)) * e^(-u/2).

(2) To show that U follows a gamma distribution with parameters a = λ = 1/2, we can use the fact that the pdf of a gamma distribution with these parameters is fU(u) = (1/(Γ(1/2))) * u^(1/2 - 1) * e^(-u/2). Comparing this with the pdf we obtained in part (1), we see that they are the same (up to a constant factor). Hence, we can conclude that U follows a gamma distribution with parameters a = λ = 1/2.

(3) To find the value of г(1/2), we need to evaluate the integral г (}) = √ e¯x-¹/2dx. Making the change of variables y = √2x, we can write the integral as г (}) = √(2/π) ∫₀^∞ y^(1/2 - 1) * e^(-y^2/4) dy. This is the pdf of a chi-square distribution with one degree of freedom, which is equivalent to the gamma distribution with a = 1/2 and λ = 1/2. Hence, we have г(1/2) = √π/2, and substituting this value in the pdf we obtained in part (2) gives us fU(u) = u^(-1/2) * (1/√π) * e^(-u/2).

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The NBA experienced tremendous growth under the leadership of the late Commissioner David Stern. In 1990, the league had annual revenue of 165 million dollars. By 2018, the revenue increased to 5,500 million. the answer is r(t) = 165 *[tex](e)^{0.084}[/tex]t.

To write a formula for an exponential function, r(t), where t is years since 1990 and r(t) is measured in millions of dollars, the given information can be used. By using the given information, the formula can be written as r(t) = 165 * [tex](e)^{kt}[/tex]

where r(t) is the annual revenue in millions of dollars in t years since 1990.

The constant k is the growth rate per year. Since the revenue has grown exponentially, e is the base of the exponential function. According to the given data, in 1990 the revenue was 165 million dollars.

This means when t = 0, the revenue was 165 million dollars. Therefore, we can substitute these values in the formula:

r(0) = 165 million dollars165 = 165 * [/tex](e)^{0}[/tex]

This means k = ln(55/33) / 28

≈ 0.084,

where ln is the natural logarithm. To get the exponential function, substitute the value of k:

r(t) = 165 * [tex](e)^{0.084}[/tex]t

Where t is measured in years since 1990. This is the required formula for an exponential function.

Hence, the answer is r(t) = 165 *[tex](e)^{0.084}[/tex]t.

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The value of the triple integral is π/4.

The given function is f(x,y,z) = z(x^2 + y^2 + z^2)^(-3/2).

We need to evaluate the triple integral over the part of the ball x^2 + y^2 + z^2 ≤ 1 defined by z ≥ 0.5.

Converting to spherical coordinates, we have x = ρsinφcosθ, y = ρsinφsinθ, and z = ρcosφ. The limits of integration are ρ = 0 to 1, φ = 0 to π/3, and θ = 0 to 2π.

So the integral becomes:

∫∫∫w f(x,y,z) dv = ∫₀^¹ ∫₀^(π/3) ∫₀^(2π) f(ρsinφcosθ, ρsinφsinθ, ρcosφ) ρ^2sinφ dθ dφ dρ

Substituting the function and limits, we have:

∫∫∫w z(x^2 + y^2 + z^2)^(-3/2) dv = ∫₀^¹ ∫₀^(π/3) ∫₀^(2π) (ρcosφ)(ρ^2)sinφ dθ dφ dρ

= ∫₀^¹ ∫₀^(π/3) ∫₀^(2π) ρ^3cosφsinφ dθ dφ dρ

= 2π ∫₀^¹ ∫₀^(π/3) ρ^3cosφsinφ dφ dρ

= π/4

Hence, the value of the given triple integral is π/4.

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The expected value of X is 12. The random variable x is known to be uniformly distributed between 3 and 13.

If the random variable X is uniformly distributed between 3 and 13, then the probability density function f(x) of X is given by:

f(x) = 1 / (13 - 3) = 1/10, for 3 <= x <= 13

The expected value of X, denoted E(X), is defined as:

E(X) = ∫[from 3 to 13] x f(x) dx

Using the probability density function, we can rewrite this as:

E(X) = ∫[from 3 to 13] x (1/10) dx

Integrating with respect to x, we get:

E(X) = [(1/10) * x^2 / 2] [from 3 to 13]

E(X) = (1/10) * [(13^2 - 3^2) / 2]

E(X) = (1/10) * 120

E(X) = 12

Therefore, the expected value of X is 12.

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Answer:

10 dollars

Step-by-step explanation:

The antiderivative of π/2 (x - cos(x)) dx is -(x - cos(x))/cos(x) + ln|cos(x)| + C, and the definite integral from 0 to π/2 is π/2 + ln(2).

We can use the integration by substitution method to solve this problem. Let u = x - cos(x), then du/dx = 1 + sin(x), and dx = du/(1 + sin(x)). Substituting these into the integral, we get:

∫π/2 (x - cos(x)) dx = ∫(π/2)0 u du/(1 + sin(x))

= ∫(π/2)0 u/(1 + sin(x)) du

= ∫(π/2)0 u/(1 + sin(x)) * (1 - sin(x))/(1 - sin(x)) du

= ∫(π/2)0 u(1 - sin(x))/(cos^2(x)) du

Next, we can use the substitution v = cos(x), then dv/dx = -sin(x), and dx = -dv/sqrt(1 - v^2). Substituting these, we get:

∫π/2 (x - cos(x)) dx = ∫10 (u(1 - v^2)/v^2) dv

= ∫10 (u/v^2 - u) dv

= -u/v + ln|v| + C

Substituting back u and v, we get:

∫π/2 (x - cos(x)) dx = - (x - cos(x))/cos(x) + ln|cos(x)| |π/2 to 0

= π/2 + ln(2).

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The antiderivative of π/2 (x - cos(x)) dx is -(x - cos(x))/cos(x) + ln|cos(x)| + C, and the definite integral from 0 to π/2 is π/2 + ln(2).

We can use the integration by substitution method to solve this problem. Let u = x - cos(x), then du/dx = 1 + sin(x), and dx = du/(1 + sin(x)). Substituting these into the integral, we get:

∫π/2 (x - cos(x)) dx = ∫(π/2)0 u du/(1 + sin(x))

= ∫(π/2)0 u/(1 + sin(x)) du= ∫(π/2)0 u/(1 + sin(x)) * (1 - sin(x))/(1 - sin(x)) du

= ∫(π/2)0 u(1 - sin(x))/(cos^2(x)) du

Next, we can use the substitution

v = cos(x), then dv/dx = -sin(x), and dx = -dv/sqrt(1 - v^2).

Substituting these, we get:

∫π/2 (x - cos(x)) dx = ∫10 (u(1 - v^2)/v^2) dv

= ∫10 (u/v^2 - u) dv

= -u/v + ln|v| + C

Substituting back u and v, we get:

∫π/2 (x - cos(x)) dx = - (x - cos(x))/cos(x) + ln|cos(x)| |π/2 to 0

= π/2 + ln(2).

Therefore, The antiderivative of π/2 (x - cos(x)) dx is -(x - cos(x))/cos(x) + ln|cos(x)| + C, and the definite integral from 0 to π/2 is π/2 + ln(2).

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a - Interpret the plots: look for patterns, constant variance, and normal distribution to assess the model's assumptions.

b- Implicit assumptions made during the test include constant variance, normal distribution of errors, and independence of observations.

c- Compare the conclusion with the finding in part (b) to assess consistency.

Using the mentioned terms. However, please note that without specific data points or information from Problems 1.27 and 8.4, I cannot provide an exact answer or numerical calculations.

a. Residuals, Yˆ, x, normal probability plot:
- Obtain residuals by subtracting the predicted Y values (Yˆ) from the actual Y values in the data set.
- Plot residuals against Yˆ and x on two separate graphs.
- Prepare a normal probability plot using the residuals.
- Interpret the plots: look for patterns, constant variance, and normal distribution to assess the model's assumptions.

b. Lack of fit, quadratic regression, α = .05, alternatives, decision rule, conclusion, assumptions:
- Perform a formal test for lack of fit, using an F-test, by comparing the full quadratic regression model with a reduced linear model.
- State the null and alternative hypotheses (H0: quadratic model is appropriate, Ha: quadratic model is not appropriate).
- Determine the decision rule: if F > critical F-value (based on α = .05 and appropriate degrees of freedom), reject H0.
- Draw a conclusion based on the F-test result.
- Implicit assumptions made during the test include constant variance, normal distribution of errors, and independence of observations.

c. Third-order model, β111, α = .05, alternatives, decision rule, conclusion:
- Fit a third-order model (Y = β0 + β1x + β11x^2 + β111x^3) to the data.
- Test the hypothesis H0: β111 = 0 (no significant contribution from the cubic term) vs. Ha: β111 ≠ 0 (cubic term is significant).
- Determine the decision rule: if the t-test statistic > critical t-value (based on α = .05 and appropriate degrees of freedom), reject H0.
- Draw a conclusion based on the t-test result.
- Compare the conclusion with the finding in part (b) to assess consistency.

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The probability of a puppy being picked is 6/13 and 369 students have taken course in either calculus or discrete mathematics.

What is probability?

The simple definition of probability is the likelihood that something will occur. We can discuss the probabilities of different outcomes, or how likely they are, whenever we are unsure of how an event will turn out. Statistics refers to the study of events subject to probability.

Suppose that the denote the following event as:

C: Student who have taken course in calculus.

D: Students who have taken course in discrete mathematics.

1) As given,

N(C) = 345, N(D) = 212, N (C ∩ D) = 188.

To find the number of students who have taken course in either calculus or discrete mathematics.

i.e. to find N (C ∪ D)

Now,

N (C ∪ D) = N(C) + N(D) - N (C ∩ D)

Substitute values respectively,

N (C ∪ D) = 345 + 212 -188

N (C ∪ D) = 369.

So, 369 students have taken course in either calculus or discrete mathematics.

2.) given that,

in a pet store there are 6 puppies, 9 kittens, 4 gerbils and 7 parakeets.

Puppies are chosen twice as often as the other pets.

So, the probability of a puppy being picked is,

= (6 × 2) / (6 + 9 + 4 + 7)

= 12 / 26

= 6 / 13.

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Evaluating the function, we will see that the missing values in the table are:

Here we have a table for the cubic function:

y = 5x³

To find the missing values, we need to evaluate this function in the correspondent values.

The first value is when x = -2, then we will get:

a = 5*(-2)³

a = -40

When x = 0.

b = 5*(0)³

b = 0

When x = 1:

c = 5*(1)³

c = 5

When x = 3:

d = 5*(3)³

d = 135

These are the missing values in the table.

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The scatter plot shows a linear association.

linear means: "arranged in or extending along a straight or nearly straight line." Which if you didn't notice. All the points on the graph, make up a generally straight line.

"No association" means there is no line or association with any of the points.  So, you'd pick that if the points were all over the graph in no order, line or combination; which isn't the case.  

"Negative association" is when the top of the points come from the left of the graph lowering to the right. While Positive association would be from right to left.  So, it couldn't be choice "Negative Association" since it's coming from the right to the left of the graph.

"The point  (2, 14) is an outlier."  If you didn't know, an outlier is one dot out of a whole group.  

It's just the out-of-placed kind of dot, but it's supposed to be there.  When you look at the graph, there is no dot or outlier at point (2,14) so, that's automatically out as well.

Ending with the last choice "The scatter plot shows a linear association."

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Answer: North 136.81 mph

               East: 375.88 mph

Step-by-step explanation:

Hi there,

First you are going to want to set up a triangle based on the given information. You are giving a bearing for the degrees of the triangle, so the angle for the triangle you are going to solve will be 20 degrees.

You can use either Law of Sines or SOHCAHTOA to solve, but since you are setting up a right triangle I would use SOHCAHTOA. You are trying to find the vertical and horizontal components so start with sine to find the y-value. It should look like:

sin(20)=(opposite side of the given angle/400)

It will be travelling North at 136.81 mph

Similarly, we now need to find the horizontal component. Start by using cosine. It should look like

cos(20)=(side adjacent to the given angle/400)

It should be traveling East at 375.88 mph

Hope this helps.

The north component is 137.64 mi/h and the east component is 123.12 mi/h.

To find the north and east components of the velocity, we can use trigonometry.

The velocity can be divided into two components: one in the north direction and one in the east direction. The north component is given by:

North component = Velocity x sin(θ)

where θ is the angle between the velocity vector and the north direction.

Similarly, the east component is given by:

East component = Velocity x cos(θ)

where θ is the angle between the velocity vector and the east direction.

In this case, the angle between the velocity vector and the north direction is (90° - 70°) = 20° (since the direction is given as "n 70° e", which means 70° east of north). Therefore:

North component = 400 x sin(20°) = 137.64 mi/h

The angle between the velocity vector and the east direction is 70°. Therefore:

East component = 400 x cos(70°) = 123.12 mi/h

Rounding to two decimal places, the north component is 137.64 mi/h and the east component is 123.12 mi/h.

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Mean ozone refers to the average concentration of ozone in the lower atmosphere during the time period of 13:00 to 15:00 hours at Roosevelt Island. Ozone is a pollutant that can have harmful health effects. The lower atmosphere refers to the part of the atmosphere closest to the Earth's surface.

a. When plotting histograms of ozone and temperature using SAS, the features that are seen depend on the data. The variables may or may not have roughly normal distributions.

b. When making a scatterplot with temperature on the x-axis and ozone on the y-axis, the relationship between the two variables can be described as potentially linear. There may be interesting features in the scatterplot such as clusters of data points or outliers.

c. Linear regression may not be the best choice for these data as there may be other factors that influence the relationship between temperature and ozone that are not captured by a linear model. The error terms for different days may also be correlated with each other due to common environmental factors.

d. If a linear regression is fit to the data regardless of concerns from part c, the estimates of the slope and intercept terms will give information about the relationship between temperature and ozone. The slope represents the change in ozone concentration for each degree increase in temperature, while the intercept represents the ozone concentration when the temperature is 0 degrees Fahrenheit.

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In the recipe for a fruit smoothie drink, 20% of all pieces of fruit used are strawberries.

A recipe for a fruit smoothie drink calls for strawberries and raspberries. The ratio of strawberries to raspberries in the drink is 5:20.

The ratio of strawberries to raspberries in the drink is 5:20, i.e., the total parts are 5 + 20 = 25.

The fraction representing strawberries is: 5/25 = 1/5.

Now we have to convert this fraction to percent form.

This can be done using the following formula:

Percent = (Fraction × 100)%

Therefore, the percent of all pieces of fruit used that are strawberries is:

1/5 × 100% = 20%

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Answer:

510 miles

Step-by-step explanation:

Let 'm' be the miles traveled.

    To find the charge for 'm' miles, multiply m by rate per mile.

Charge for 'm' miles = 0.15*m = 0.15m

If we add the fixed charge per week with the charge for 'm' miles, we will get the total charge.

                       Total charge = Fixed charge + charge for m miles

                                              = 190 + 0.15m

190 + 0.15m = 266.50

Subtract 190 from both sides,

          0.15m = 266.50 - 190

         0.15m  =  76.50

Divide both sides by 0.15,

                [tex]m =\dfrac{76.50}{0.15}\\\\\\m=\dfrac{7650}{15}\\\\\\m = 510 \ miles[/tex]

The fractions less than the given fractions are as follows:

Less than 3/6: 1/2, 1/3             Less than 2/3: 1/2         Less than 3/8: 1/2, 1/3                Less than 1/2: None               Less than 3/3: 1/2, 1/3      Less than 2/6: 1/3

To determine which fractions are less than the given fractions, we can simplify each fraction and compare them. Let's simplify the fractions:

Simplifying 3/6:

The numerator and denominator share a common factor of 3. Dividing both by 3, we get 1/2.

Simplifying 2/3:

The fraction 2/3 is already in its simplest form.

Simplifying 3/8:

The fraction 3/8 is already in its simplest form.

Simplifying 1/2:

The fraction 1/2 is already in its simplest form.

Simplifying 3/3:

The numerator and denominator are the same, so the fraction is equal to 1.

Simplifying 2/6:

The numerator and denominator share a common factor of 2. Dividing both by 2, we get 1/3.

Now, let's compare each fraction to the given fractions:

Fractions less than 3/6:

The fractions less than 3/6 are 1/2 and 1/3.

Fractions less than 2/3:

The fraction less than 2/3 is 1/2.

Fractions less than 3/8:

The fractions less than 3/8 are 1/2 and 1/3.

Fractions less than 1/2:

There are no fractions less than 1/2 because it is already the smallest fraction (excluding negative fractions).

Fractions less than 3/3:

The fractions less than 3/3 are 1/2 and 1/3.

Fractions less than 2/6:

The fraction less than 2/6 is 1/3.

So, the fractions less than the given fractions are as follows:

Less than 3/6: 1/2, 1/3

Less than 2/3: 1/2

Less than 3/8: 1/2, 1/3

Less than 1/2: None

Less than 3/3: 1/2, 1/3

Less than 2/6: 1/3

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The 90% confidence interval for the population mean is (73.06, 80.94).

The closest option to this answer is d. 73.87 to 80.14

To calculate the confidence interval for the population mean, we can use the formula:

[tex]CI = \bar{x} \pm z* (\sigma /\sqrt{n} )[/tex]

where:

[tex]\bar{x}[/tex] is the sample mean

σ is the population standard deviation (unknown, so we use the sample standard deviation, s, as an estimate)

n is the sample size

z* is the critical value from the standard normal distribution corresponding to the desired level of confidence (90% in this case)

Plugging in the values we have:

CI = 77 ± 1.645 * (19/√100)

CI = 77 ± 3.94

CI = (73.06, 80.94).

Option to this answer is d. 73.87 to 80.14

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A random sample of 100 customers who visited a department store spent an average of $77 with a standard deviation of $19. The 90% confidence interval for the population mean is: a. 75.56 to 79.44.

The 90% confidence interval for the population mean is calculated using the formula:

(sample mean) +/- (critical value) * (standard error of the mean)

The critical value for a 90% confidence interval with a sample size of 100 is 1.645. The standard error of the mean is calculated by dividing the standard deviation by the square root of the sample size:

$19 / \sqrt{100} = $1.90

Plugging in the values, we get:

$77 +/- 1.645 * 1.90 = $77 +/- $3.13

So the 90% confidence interval for the population mean is from $73.87 to $80.14.

Therefore, the answer is d. 73.87 to 80.14.

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Answer:

A. Unfavorable variance.

Step-by-step explanation:

A. Unfavorable variance.

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Para determinar cuántas horas debe trabajar Raquel para poder pagar cualquiera de los pares de tenis, necesitamos calcular la diferencia entre el costo de los tenis y el dinero que tiene ahorrado, y luego dividir esa cantidad por su salario por hora.

Diferencia entre el costo de los tenis y el dinero ahorrado:

Costo de los tenis: $450, $459, $479 (cualquiera de los tres)

Dinero ahorrado: $310

Diferencia = Costo de los tenis - Dinero ahorrado

Ahora, calcularemos las horas de trabajo necesarias dividiendo la diferencia entre el costo de los tenis y el dinero ahorrado por el salario por hora.

Horas de trabajo necesarias = Diferencia / Salario por hora

Por ejemplo, si consideramos el par de tenis que cuesta $450:

Diferencia = $450 - $310 = $140

Horas de trabajo necesarias = $140 / $10.50

Raquel debería trabajar aproximadamente 13.33 horas para poder pagar el par de tenis que cuesta $450.

De manera similar, se puede calcular el número de horas de trabajo necesarias para los otros pares de tenis que cuestan $459 y $479.

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The Percentage of shoes that cost more than $40 based on the given numbers.

11. Describe the distribution of the data:

Without additional information, it is difficult to precisely describe the distribution of the data. However, we can provide some general observations based on the provided numbers. The data appears to be a list of individual values without any clear pattern or trend. The distribution could be symmetrical, skewed, or even contain outliers. To provide a more detailed description, additional information such as the context or specific characteristics of the data would be needed.

9. What is the median value?

To find the median value, we need to arrange the data in ascending order. The given numbers are: 29, 34, 889, 402566, 500. After arranging them in ascending order, we have: 29, 34, 500, 889, 402566. Since there are five numbers, the median value will be the middle number, which in this case is 500.

10. What is the mean of the data? Round to the nearest penny.

To find the mean, we sum up all the numbers and divide by the total count. The sum of the numbers is: 29 + 34 + 889 + 402566 + 500 = 403018. Dividing this sum by the count of numbers (5), we get: 403018 / 5 = 80603.6. Rounding this to the nearest penny, the mean of the data is approximately $80603.60.

12. What percent of shoes cost more than $40?

the given data does not provide any information related to shoes or their prices. Therefore, it is not possible to determine the percentage of shoes that cost more than $40 based on the given numbers.

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Okay, let's break this down step-by-step:

* The curve is y = sqrt(x) (1)

* The limits of integration are: x = 1 to x = 4 (2)

* We need to integrate y with respect to x over these limits (3)

* Substitute the curve equation (1) into the integral:

∫4 sqrt(x) dx (4)

* Integrate: (√4)3/2 - (√1)3/2 (5) = 43/2 - 13/2 (6) = 15 (7)

* The volume of a solid generated by revolving a region about an axis is:

Volume = 2*π*15 (8) = 30*π (9)

Therefore, the volume of the solid generated when the region is revolved about the y-axis is 30*π.

Let me know if you have any other questions!

The volume of the solid generated is approximately 77.74 cubic units.

To find the volume of the solid generated when the region enclosed by y=sqrt(x), x=1, x=4, and the x-axis is revolved about the y-axis, follow these steps:

Step 1: Identify the given functions and limits.

y = sqrt(x) is the function we will use, with limits x=1 and x=4.

Step 2: Set up the integral using the shell method.
Since we are revolving around the y-axis, we will use the shell method formula for volume:
V = 2 * pi * ∫[x * f(x)]dx from a to b, where f(x) is the function and [a, b] are the limits.

Step 3: Plug the function and limits into the integral.
V = 2 * pi * ∫[x * sqrt(x)]dx from 1 to 4

Step 4: Evaluate the integral.
First, rewrite the integral as:
V = 2 * pi * ∫[x^(3/2)]dx from 1 to 4

Now, find the antiderivative of x^(3/2):
Antiderivative = (2/5)x^(5/2)

Step 5: Apply the Fundamental Theorem of Calculus.
Evaluate the antiderivative at the limits 4 and 1:
(2/5)(4^(5/2)) - (2/5)(1^(5/2))

Step 6: Simplify and calculate the volume.
V = 2 * pi * [(2/5)(32 - 1)]
V = (4 * pi * 31) / 5
V ≈ 77.74 cubic units

So, The volume of the solid generated is approximately 77.74 cubic units.

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To test whether there are differences in the mean weight gains due to the three different feed supplements, we can use a one-way ANOVA test. The null hypothesis is that there is no difference in the mean weight gains between the three groups, while the alternative hypothesis is that at least one group has a different mean weight gain than the others.

Using the formula for one-way ANOVA, we can calculate the F-statistic:

F = (SSbetween / dfbetween) / (SSwithin / dfwithin)

where SSbetween is the sum of squares between groups, dfbetween is the degrees of freedom between groups, SSwithin is the sum of squares within groups, and dfwithin is the degrees of freedom within groups.

We can calculate the necessary values as follows:

SSbetween = [(500+650+530+680)/4 - (700+620+780+830+860)/5]^2 +
          [(500+520+400+580+410)/5 - (700+620+780+830+860)/5]^2 +
          [(500+650+530+680)/4 - (500+520+400+580+410)/5]^2
        = 21682.4

dfbetween = 3 - 1 = 2

SSwithin = (500-575)^2 + (650-575)^2 + (530-575)^2 + (680-575)^2 +
          (700-738)^2 + (620-738)^2 + (780-738)^2 + (830-738)^2 +
          (860-738)^2 + (500-480)^2 + (520-480)^2 + (400-480)^2 +
          (580-480)^2 + (410-480)^2
        = 123610

dfwithin = 15 - 3 = 12

Plugging in the values, we get:

F = (21682.4 / 2) / (123610 / 12) = 2.227

Using a significance level of α = 0.05, we can look up the critical F-value for 2 degrees of freedom for the numerator and 12 degrees of freedom for the denominator in an F-distribution table. The critical value is 3.89.

Since the calculated F-statistic of 2.227 is less than the critical value of 3.89, we fail to reject the null hypothesis. This means that there is not enough evidence to conclude that there are differences in the mean weight gains due to the three different feed supplements.

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