In the screenshot need help with this can't find any calculator for it so yea need help.

Answer:

x = - 9, x = - 5

Step-by-step explanation:

4(x + 7)² + 17 = 33 ( subtract 17 from both sides )

4(x + 7)² = 16 ( divide both sides by 4 )

(x + 7)² = 4 ( take square root of both sides )

x + 7 = ± [tex]\sqrt{4}[/tex] = ± 2 ( subtract 7 from both sides )

x = - 7 ± 2

then

x = - 7 - 2 = - 9

x = - 7 + 2 = - 5

Answer:

The answer is -9,-5

Step-by-step explanation:

4(x+7)²+17=33

4(x+7)(x+7)+17=33

4[x²+7x+7x+49]+17=33

4(x²+14x+49)+17=33

4x²+56x+196+17-33=0

4x²+56x+180=0

divide althrough by 4

x²+14x+45=0

factorising

x²+9x+5x+45=0

x(x+9)+5(x+9)=0

(x+9)(x+5)=0

(x+9)=0,(x+5)=0

x= -9,x= -5

1) The upper sum for the function f =1/x is 2.083

2) The lower  sum for the function f = 1/x is 0.9708

To approximate the area under the curve f = 1/x on the interval (1, 5), we will use a Riemann sum with n = 4 rectangles.

The width of each rectangle will be Δx = (5 - 1) / 4 = 1.

The height of each rectangle will be the maximum value of f in its interval, which occurs at the left endpoint of each interval

f(1) = 1/1 = 1

f(2) = 1/2

f(3) = 1/3

f(4) = 1/4

Therefore, the area of each rectangle will be:

A = Δx × f(left endpoint) = 1 × f(left endpoint)

The upper sum is the sum of the areas of the rectangles whose heights are greater than or equal to the function values over the interval:

Upper sum = A(1) + A(2) + A(3) + A(4)

= 1 + 1/2 + 1/3 + 1/4

= 2.083

The height of each rectangle will be the minimum value of f in its interval, which occurs at the right endpoint of each interval

f(2) = 1/2

f(3) = 1/3

f(4) = 1/4

f(5) = 1/5

Therefore, the area of each rectangle will be:

A = Δx × f(right endpoint) = 1 × f(right endpoint)

The lower sum is the sum of the areas of the rectangles whose heights are less than or equal to the function values over the interval

Lower sum = A(1) + A(2) + A(3) + A(4)

= 1/2 + 1/3 + 1/4 + 1/5

= 0.9708

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The given question is incomplete, the complete question is:

Approximate the area under the curve f = 1/x on (1,5) by first setting up the 1) Upper sum and the 2) Lower sum Let the number of rectangles n=4. Your answer must be an integer or a fractional form.

The length of arc EG is approximately 7.35 units.

To find the length of arc EG, we need to use the formula:

length of arc = (central angle/360°) × 2πr

where r is the radius of the circle and the central angle is in degrees.

We are given that m∠EFG = 58°, and EF = 6 units. Since EF is a chord of the circle, we can use the chord-chord angle theorem to find that m∠EGF = ½(180° - 58°) = 61°.

Now, we can use the Law of Cosines to find the length of GE:

GE² = EF² + FG² - 2(EF)(FG)cos(∠EGF)

GE² = 6² + FG² - 2(6)(FG)cos(61°)

Since FG = 2r (because it is the diameter of the circle),

GE² = 36 + (2r)² - 12r cos(61°)

We can simplify this to:

GE² = 4r² - 12r cos(61°) + 36

GE² = 4(r² - 3r cos(61°) + 9)

Now, we can use the formula for the length of the arc:

length of arc EG = (m∠EGF/360°) × 2πr

length of arc EG = (61/360) × 2πr

length of arc EG = (61/180) × πr

Substituting the expression for GE² in terms of r, we get:

length of arc EG = (61/180) × π √[4(r² - 3r cos(61°) + 9)]

We can now use a calculator to find the approximate value of the length of arc EG.

Rounded to the nearest hundredth, the length of arc EG is approximately 7.35 units.

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The point on the parabola closest to P ( 8 , 21 ) is Q ( 8 , 7 )

Given the parabola y = 16 - r² and the point (8, 21), we want to find the point on the parabola that is closest to the given point.

To find the point on the parabola closest to (8, 21), we can use the distance formula to calculate the distance between any point on the parabola and (8, 21), and then minimize that distance.

Let's denote the x-coordinate of the point on the parabola as x and the corresponding y-coordinate as y, so we have the point (x, y) on the parabola y = 16 - r²

The distance between this point and the given point (8, 21) is given by the distance formula:

d = √((x - 8)² + (y - 21)²)

Substituting y = 16 - r², we get:

d = √((x - 8)² + (16 - r² - 21)²)

To minimize the distance, we can minimize the square of the distance, which is equivalent to minimizing:

f(x, r) = (x - 8)² + (16 - r - 21)²

Now, let's take partial derivatives of f(x, r) with respect to x and r, and set them to zero to find the critical points:

∂f/∂x = 2(x - 8) = 0.

∂f/∂r = 2(r² + 5r - 37)(-2r) = 0.

Solving the first equation for x, we get:

x - 8 = 0,

x = 8

Substituting this value of x back into the equation for y on the parabola, we get:

y = 16 - r²

So, the critical point on the parabola is (8, 16 - r²)

Now, let's solve the second equation for r:

2(r² + 5r - 37)(-2r) = 0.

Setting each factor to zero separately:

r² + 5r - 37 = 0,

(r + 8)(r - 3) = 0.

So, r = -8 or r = 3.

Since r represents the distance from the x-axis to the point on the parabola, it must be non-negative. Therefore, we discard the solution r = -8.

Finally, substituting r = 3 into the coordinates of the critical point, we get:

(x, y) = (8, 16 - r²) = (8, 16 - 3²) = (8, 7).

Hence , the point on the parabola y = 16 - r² closest to the point (8, 21) is (8, 7)

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The probability that the ML algorithm was incorrect and the photo is about fashion is approximately 6.99%.

Based on the information provided, the ML algorithm classified a photo as not about fashion. In the dataset, there are 1603 photos in the second row, which includes photos classified as not about fashion. Among these, 112 photos are actually about fashion. To find the probability that the ML algorithm's prediction was incorrect and the photo is about fashion, we can use the following formula:

Probability = (Number of incorrect classifications) / (Total number of photos in the second row)

Probability = 112 / 1603 ≈ 0.0699

So, the probability that the ML algorithm was incorrect and the photo is about fashion is approximately 6.99%.

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While the confidence Interval indicates a strong likelihood of Candidate X winning, there is still a small chance that they could lose, considering the 5% level of uncertainty.

We have a random sample of likely voters where 62% plan to vote for Candidate X. The margin of error is 4 percentage points, and the confidence level is 95%.

To determine if there is evidence that Candidate X could lose, we need to analyze the confidence interval.

Step 1: Find the lower and upper bounds of the confidence interval.
Lower Bound: 62% - 4% = 58%
Upper Bound: 62% + 4% = 66%

Step 2: Interpret the confidence interval.
The 95% confidence interval indicates that we can be 95% confident that the true proportion of likely voters who plan to vote for Candidate X lies between 58% and 66%.

Since the lower bound of the confidence interval is above 50%, it suggests that Candidate X has a strong chance of winning. However, there is still a 5% chance that the true proportion of likely voters who plan to vote for Candidate X falls outside of this interval. This 5% uncertainty leaves room for the possibility that Candidate X could lose, albeit a small chance.

In conclusion, while the confidence interval indicates a strong likelihood of Candidate X winning, there is still a small chance that they could lose, considering the 5% level of uncertainty.

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The size of ∠R in the non-right-angled triangle PQR is ∠R = 54.38° and rounded to the nearest degree, is ∠R ≈ 54°

Equations with trigonometric functions that hold true for all of the variables in the equation are known as trigonometric identities.

The Law of Cosines states that for a triangle with sides a, b, and c, and opposite angles A, B, and C, we have:

⇒ c² = a² + b² - 2ab cos(C)

In this case, we are given the lengths of sides p, q, and r, and we want to find the size of angle R. So we can use the Law of Cosines with side r and angles P and Q, as follows:

⇒ r² = p² + q² - 2pq cos(R)

Substituting the given values, we get:

⇒ (47.6)² = (52.9)² + (10.4)² - 2(52.9)(10.4) cos(R)

Simplifying and solving for cos(R), we get:

⇒ cos(R) = (52.9² + 10.4² - 47.6²) / (2(52.9)(10.4))

⇒ cos(R) ≈ 0.58238

To find the size of angle R, we can use the inverse cosine function (also called the arccosine function), which is denoted as cos⁻¹

Using a calculator, we get:

⇒ R = 54.38 degrees

Therefore, the size of angle R in the non-right-angled triangle PQR, rounded to the nearest degree, is R ≈ 54 degrees.

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The equation of the tangent line at x=3 is y = -7x + 18.

To find the equation of the tangent line at x=3, we first need to find the slope of the tangent line at that point.

The slope of the tangent line at a point on a curve is equal to the derivative of the curve at that point.

So, we need to find the derivative of f(x) and evaluate it at x=3.

f(x) = -2x² + 5x

f'(x) = -4x + 5

f'(3) = -4(3) + 5 = -7

Therefore, the slope of the tangent line at x = 3 is -7.

To find the equation of the tangent line, we can use the point-slope form of a line, which is:

y - y1 = m(x - x1)

where m is the slope of the line, and (x1, y1) is a point on the line.

We know the slope (m=-7) and the point (3, f(3)) on the tangent line, so we can plug these values into the equation and simplify:

y - f(3) = -7(x - 3)

y - (-2(3)² + 5(3)) = -7(x - 3)

y + 3 = -7x + 21

y = -7x + 18.

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The value of the inequality is p< 1. Option C

Inequalities are described as non-equal comparison between numbers, variables, or expressions.

The different signs used for inequalities are;

From the information given, we have that;

2 < p + 1

To solve the inequality,

collect the like terms

p< 2-1

subtract the values

p< 1

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Complete question:

Which of the following are solutions to the inequality below? Select all that apply.

2 < p + 1

p< 3

p< 2

p< 1

p< 0

The solved triangle has A ≈ 25.84°, B = 60°, C ≈ 94.16°, a = 5, b ≈ 4.33, and c = 10.

To solve the triangle with given information a = 5, B = 60°, and c = 10, we can use the Law of Sines.

Step 1: Write the formula.
sin(A) / a = sin(B) / b = sin(C) / c

Step 2: Plug in the given values.
sin(A) / 5 = sin(60°) / 10

Step 3: Solve for sin(A).
sin(A) = (5 * sin(60°)) / 10

Step 4: Calculate sin(A).
sin(A) ≈ 0.433

Step 5: Find angle A.
A ≈ arcsin(0.433) ≈ 25.84°

Step 6: Calculate angle C.
C = 180° - (A + B) = 180° - (25.84° + 60°) ≈ 94.16°

Step 7: Use the Law of Sines to find side b.
b / sin(B) = a / sin(A)
b = (10 * sin(25.84°)) / sin(60°)

Step 8: Calculate side b.
b ≈ 4.33

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The correct interpretation of the maximum likelihood estimate of B, in the context of this question, is C) It represents the predicted change in fuel consumption as attic insulation rating changes by 1 unit. This is because of the coefficient of the insulation. rating is 0.35310, which indicates that for every 1 unit increase in the insulation rating, the predicted fuel consumption will increase by 0.35310.

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The equation of the tangent to the curve at the point is

[tex]y - (cos(9) - sin(1)) = \frac{(-9sin(1) - cos(1))}{(cos(9) + sin(1)) * (x - (sin(9) + cos(1)))}[/tex]

Given data ,

To find the equation of the tangent line to the curve at the point corresponding to the value of the parameter t = 1, we need to follow these steps:

Step 1:

Find the coordinates of the point on the curve that corresponds to t = 1.

Substitute t = 1 into the given parametric equations for x and y:

[tex]x = sin(9t) + cos(t)[/tex]

[tex]y = cos(9t) - sin(t)[/tex]

[tex]x = sin(9 * 1) + cos(1) = sin(9) + cos(1)[/tex]

[tex]y = cos(9 * 1) - sin(1) = cos(9) - sin(1)[/tex]

So, the point on the curve that corresponds to t = 1 is [tex](x, y) = [sin(9) + cos(1), cos(9) - sin(1)][/tex]

Step 2:

Find the derivative of y with respect to x.

Differentiate the parametric equation for y with respect to t using the chain rule:

[tex]\frac{dy}{dt} = -9sin(t) - cos(t)[/tex]

[tex]\frac{dy}{dx}= \frac{\frac{dy}{dt} }{\frac{dx}{dt}}[/tex]   [by chain rule]

[tex]\frac{dy}{dx} = \frac{(-9sin(t) - cos(t))}{(cos(9t) + sin(t))}[/tex]

Step 3:

Evaluate the derivative at t = 1.

Substitute t = 1 into the derivative of y with respect to x:

[tex]\frac{dy}{dx} _{t=1} = \frac{(-9sin(1) - cos(1))}{(cos(9 * 1) + sin(1))}[/tex]

Step 4:

Write the equation of the tangent line.

Using the point-slope form of a linear equation, with the slope given by the derivative of y with respect to x at t = 1, and the point on the curve corresponding to t = 1, we can write the equation of the tangent line:

[tex]y - (cos(9) - sin(1)) = \frac{(-9sin(1) - cos(1))}{(cos(9) + sin(1)) * (x - (sin(9) + cos(1)))}[/tex]

This is the equation of the tangent line to the curve at the point corresponding to t = 1.

Hence , the equation is [tex]y - (cos(9) - sin(1)) = \frac{(-9sin(1) - cos(1))}{(cos(9) + sin(1)) * (x - (sin(9) + cos(1)))}[/tex]

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A is the correct representation, i.e Cory earned $175 to mow 5 lawns

What is the arithmetic operation?

The four fundamental operations of arithmetic are addition, subtraction, multiplication, and division of two or more quantities. Included in them is the study of numbers, especially the order of operations, which is important for all other areas of mathematics, including algebra, data management, and geometry. The rules of arithmetic operations are required in order to answer the problem.

A. Cory earned $175 to mow 5 lawns is the correct representation that shows the amount of money Cory earned at the rate of $35 per lawn.

To find the amount of money earned by Cory, we can multiply the number of lawns mowed by the rate per lawn. So, in this case, the amount of money Cory earned for mowing 5 lawns would be:

Amount earned = rate per lawn x number of lawns

Amount earned = $35 x 5

Amount earned = $175

Therefore, A is the correct representation, i.e Cory earned $175 to mow 5 lawns

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Part A: Sherise jogs for 157/10 miles each week.

Part B: Reggie jogs for 123/10 miles each week.

What is meant by week?

A period of seven days, typically starting on Monday and ending on Sunday, is commonly used as a unit of time in calendars and schedules.

What is meant by miles?

A unit of distance used in the United States and some other countries is equal to 5,280 feet or 1.609 kilometres.

According to the given information

Part A: Sherise jogs 53/10 + 41/10 + 63/10 = 157/10 miles each week.

Part B: Reggie jogs 157/10 - 34/10 = 123/10 miles each week.

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The critical value of the test statistic for a two-tailed test with a significance level of 0.05 is +/- 1.96. Therefore, the correct answer is 1.96 and -1.96.

The critical value of the test statistic for a two-tailed test with a significance level of 0.05 and a large sample size can be found using the standard normal distribution table.

The area of rejection is split between the two tails of the distribution, each with an area of 0.025. The corresponding z-score for a cumulative area of 0.025 in each tail is 1.96.

Therefore, the critical values of the test statistic for a two-tailed test with a significance level of 0.05 and a large sample size are 1.96 and -1.96.

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The solution is: x = 3/7

What is algebra?

Algebra is a branch of mathematics that deals with mathematical operations and symbols used to represent numbers and quantities in equations and formulas. It involves the study of variables, expressions, equations, and functions.

To solve for x in the equation:

x * 7/3 = 1

We can isolate x by multiplying both sides by the reciprocal of 7/3, which is 3/7:

x * 7/3 * 3/7 = 1 * 3/7

Simplifying the left side:

x * (7/3 * 3/7) = 3/7

x * 1 = 3/7

Therefore, the solution is:

x = 3/7

So, x is equal to 3/7.

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The 95% confidence interval for the population standard deviation is approximately between $1.006 and $1.611.

To construct a 95% confidence interval for the population standard deviation, we'll use the Chi-Square distribution and the following formula:

CI = √((n - 1) × s² / χ²)

Where:
CI = Confidence interval
n = Sample size (22 CDs)
s² = Sample variance (standard deviation squared, $1.25²)
χ² = Chi-Square values for given confidence level and degrees of freedom (df = n - 1)

For a 95% confidence interval and 21 degrees of freedom (22 - 1), the Chi-Square values are:
Lower χ² = 10.283
Upper χ² = 33.924

Now, we'll calculate the confidence interval:

Lower limit = √((21 × 1.25²) / 33.924) ≈ 1.006
Upper limit = √((21 × 1.25²) / 10.283) ≈ 1.611

So, the 95% confidence interval for the population standard deviation is approximately between $1.006 and $1.611.

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The probability that Deborah's first flight was delayed given that her luggage did not make the connecting flight is 0.253, or about 25.3%.

We can use Bayes' theorem to calculate the probability that Deborah's first flight was delayed given that her luggage did not make the connecting flight. Let D denote the event that the first flight is delayed, and L denote the event that the luggage does not make the connecting flight. Then we want to find P(D | L).
By the law of total probability, we have:
P(L) = P(L | D) * P(D) + P(L | D') * P(D')
where D' denotes the event that the first flight is on time. Using the given probabilities, we can plug in the values:
P(L) = 0.55 * 0.85 + (1 - 0.15) * (1 - 0.9) = 0.3245
Next, we can use Bayes' theorem:
P(D | L) = P(L | D) * P(D) / P(L)
Plugging in the values, we get:
P(D | L) = 0.55 * 0.15 / 0.3245 = 0.253
Therefore, the probability that Deborah's first flight was delayed given that her luggage did not make the connecting flight is 0.253, or about 25.3%.

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Answer:

9 units

Concept Used:

Pythagorean Theorem: a²+b²=c²

(a: Perpendicular, b: Base and c: Hypotenuse of the right-angled triangle)

Surds Operations

Step-by-step explanation:

It is evident that the Hypotenuse is the missing side.

Using Pythagorean Theorem:

[tex]c=\sqrt{(7)^2+(4\sqrt{2})^2}\\c=\sqrt{49+32}\\c=\sqrt{81}\\[/tex]

c = +9 units (distance is a scalar quantity and cannot be -ve)

Answer:

This gives us a square with an area of 225 square units.

Step-by-step explanation:

To find the dimensions of the rectangle with the largest area for a given perimeter of 60, we need to use the formula for the perimeter of a rectangle, which is P = 2l + 2w, where P is the perimeter, l is the length, and w is the width.

In this case, we know that P = 60, so we can write:

60 = 2l + 2w

Simplifying this equation, we get:

30 = l + w

To find the largest area of the rectangle, we need to maximize the product of the length and the width, which is the formula for the area of a rectangle, A = lw.

We can solve for one variable in terms of the other using the equation above. For example, we can write:

w = 30 - l

Substituting this expression for w into the formula for the area, we get:

A = l(30 - l)

Expanding and simplifying this expression, we get:

A = 30l - l^2

This is a quadratic equation in l, which has a maximum value when l is halfway between the roots. We can find the roots using the quadratic formula:

l = (-b ± sqrt(b^2 - 4ac)) / 2a

In this case, a = -1, b = 30, and c = 0, so we get:

l = (-30 ± sqrt(30^2 - 4(-1)(0))) / 2(-1)

Simplifying, we get:

l = (-30 ± sqrt(900)) / -2

l = (-30 ± 30) / -2

So the roots are l = 0 and l = 30. We want the smaller value first, so we take l = 0 and find w = 30. This would give us a rectangle with zero area, so it is not a valid solution.

The other root is l = 30, which gives us w = 0. Again, this is not a valid solution because we need both dimensions to be positive.

Therefore, the dimensions of the rectangle with the largest area for a perimeter of 60 are:

l = 15 and w = 15

This gives us a square with an area of 225 square units.

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Answer:

The answer is n + 3

The general indefinite integral of ∫(√x³+³√x²)dx is [tex]2(x^{5/2} )/5 + 3(x^{5/3} )/5[/tex] + c , where c is an arbitrary constant.

Integral calculus is the branch of calculus that deals with integrals and its properties. Integration is also known as anti derivative.

An indefinite integral does not consist of any upper or lower limit and hence is indefinite in nature.

We can calculate the general indefinite integral,

∫(√x³+³√x²)dx

Rewriting the integral using power rule we get,

∫(√x³+³√x²)dx = ∫ { [tex](x^{3})^{1/2} + (x^{2})^{1/3}[/tex] dx

= ∫[tex](x^{3/2} )+ (x^{2/3} )[/tex] dx

We can split the above indefinite integral as,

= ∫[tex](x^{3/2} )[/tex] dx + ∫[tex](x^{2/3} )[/tex] dx

= [tex](x^{5/2} )/(5/2) + (x^{5/3} )/(5/3)[/tex] + c

where c is an arbitrary constant

= [tex]2(x^{5/2} )/5 + 3(x^{5/3} )/5[/tex] + c

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The value of CDF Pr[28 < X ≤ 41] = F(41) - F(28) = 0.6 - 0.55 = 0.05.

Given that X is a discrete random variable that takes only positive integer values, we know the cumulative distribution function (CDF) values for certain values of X. We can use this information to find the value of k, which is missing.

First, we note that the CDF is a non-decreasing function, meaning that as X increases, F(X) cannot decrease. Therefore, we know that 0.55 ≤ k ≤ 0.6.

Next, we use the fact that the CDF is a step function, meaning that it increases by a finite amount at each integer value of X. Using this, we can find the difference in CDF values between adjacent values of X. For example, F(21) - F(13) = 0.49 - 0.45 = 0.04.

Using this method, we can find that F(47) - F(28) = 0.67 - 0.55 = 0.12 and F(54) - F(41) = 0.7 - k. We can then set these two expressions equal to each other and solve for k:

0.7 - k = 0.12
k = 0.58

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The estimated sales for the coffee shop in 2007 is approximately $13,202.02 million, and for 2016, it's approximately $ 125,234.91 million.

A function that contains the variable inside of the exponent is called an exponential function. We can evaluate such a function by substituting in a value for a variable, just like any other function.

To estimate the sales for the coffee shop in 2007 and 2016, we first need to find the values of t for those years. Since t = 6 corresponds to 1996, we can calculate the values for 2007 and 2016 as follows:

2007: t = 6 + (2007 - 1996) = 6 + 11 = 17

2016: t = 6 + (2016 - 1996) = 6 + 20 = 26

Now, we can plug these values of t into the exponential function

[tex]S(t) = 188.38(1.284)^t[/tex] to estimate the sales.

For 2007:

[tex]S(17) = 188.38(1.284)^1^7[/tex]≈ 13,202.02

For 2016:

[tex]S(26) = 188.38(1.284)^2^6[/tex] ≈ 125,234.91

So, the estimated sales for the coffee shop in 2007 is approximately $13,202.02 million, and for 2016, it's approximately $ 125,234.91 million.

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The Intergrations are 0.30543..., 9/4, 1.

Given are definite integrations, we need to integrate,

1) [tex]\int\limits^4_3 {\frac{1}{3x-7} } \, dx[/tex]

Applying u substitution,

[tex]=\int _2^5\frac{1}{3u}du[/tex]

[tex]=\frac{1}{3}\cdot \int _2^5\frac{1}{u}du[/tex]

[tex]=\frac{1}{3}\left[\ln \left|u\right|\right]_2^5[/tex]

[tex]=\frac{1}{3}\left(\ln \left(5\right)-\ln \left(2\right)\right)[/tex]

[tex]= 0.30543\dots[/tex]

2) [tex]\int _0^1\left(x+1\right)\left(x^2+2x\right)dx[/tex]

Applying u substitution,

[tex]=\int _0^3\frac{u}{2}du[/tex]

[tex]=\frac{1}{2}\left[\frac{u^2}{2}\right]_0^3[/tex]

[tex]=\frac{1}{2}\cdot \frac{9}{2}\\\\\=\frac{9}{4}[/tex]

3) [tex]\int _{-1}^1\left|x\right|dx[/tex]

[tex]=\int _{-1}^0-xdx+\int _0^1xdx[/tex]

[tex]=\frac{1}{2}+\frac{1}{2}\\\\=1[/tex]

Hence, the Intergrations are 0.30543..., 9/4, 1.

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The quantity that will give maximum profit is 8.04 hundred units and the maximum profit is  $15964.9

To find the quantity that will give maximum profit, we need to first write down the profit function.

The profit function is given by the difference between the revenue function and the cost function:

P(x) = R(x) - C(x)

where R(x) is the revenue function and C(x) is the cost function.

The revenue function is given by the product of the price and quantity:

R(x) = p(x) × x

= (2012 - (1/3)x²) × x

Substituting the given expressions for p(x) and C(x), we get:

P(x) = (2012 - (1/3)x²) × x - (1000 + 24x + x^2)

Expanding and simplifying, we get:

P(x) = (671x - (1/3)x³) - 1000 - 24x - x²

P(x) = -(1/3)x³ + 647x - 1000

P'(x) = -x² + 647 = 0

Solving for x, we get:

x² = 647

x = ± √647

Since x is in hundreds of units, we need to divide the value of x by 100 to get the answer in units.

x = √647/ 100

x = 8.04 hundred units.

To find the maximum profit, we substitute the value of x into the profit function P(x):

P(x) = -(1/3)x³ + 647x - 1000

P( √647/ 100) = -(1/3)(√647/ 100)³ + 647√647/ 100 - 1000

P( √647/ 100) = $15964.99

Therefore, the quantity that will give maximum profit is 8.04 hundred units and the maximum profit is  $15964.9

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The monthly demand function for a product sold by a monopoly is p = 2012 - 1/3 x^2 dollars, and the average cost is C = 1000 + 24x + x^2 dollars. Production is limited to 1000 units and x is in hundreds of units.

(a) Find the quantity (in hundreds of units) that will give maximum profit ___hundred units

(b) Find the maximum profit. (Round your answer to the nearest cent.)

1,364 of 2,200 registered voters sampled said they planned to vote for the Republican candidate for president. Using the 0.95 degree of confidence, the interval estimate for the population proportion is D) 59.5% to 64.5%.

To find the interval estimate for the population proportion, we can use the formula:

(sample proportion) ± (critical value) x (standard error)

The sample proportion is 1,364/2,200 = 0.6209.

The critical value can be found using a table or calculator, with a degree of confidence of 0.95 and a sample size of 2,200-1 = 2,199. The closest value is 1.96.

The standard error is calculated as:

sqrt[(sample proportion x (1 - sample proportion)) / sample size]

= sqrt[(0.6209 x 0.3791) / 2,200]

= 0.0162

So the interval estimate is:

0.6209 ± 1.96 x 0.0162

= 0.5888 to 0.6530

Rounding to the nearest 10th of a percent, the interval estimate is:

59.0% to 65.3%

Therefore, the answer is D) 59.5% to 64.5%.

Using the given data, we can calculate the interval estimate for the population proportion with a 0.95 degree of confidence. The sample proportion (p-hat) is 1,364 / 2,200 = 0.62. The sample size (n) is 2,200.

To calculate the margin of error, first find the standard error: SE = sqrt((p-hat * (1 - p-hat)) / n) = sqrt((0.62 * 0.38) / 2,200) ≈ 0.0105.

Next, find the critical value (z-score) for a 0.95 degree of confidence: 1.96.

Then, calculate the margin of error: ME = z-score * SE = 1.96 * 0.0105 ≈ 0.0206.

Finally, determine the interval estimate by adding and subtracting the margin of error from the sample proportion: (0.62 - 0.0206) to (0.62 + 0.0206) = 0.5994 to 0.6406.

Converting to percentages and rounding to the nearest 10th, we get: 59.9% to 64.1%. None of the provided options exactly match this result, but option A) 60.0% to 64.0% is the closest one.

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The interquartile range is 21.

Quartiles describe the division of given observations into four intervals. each section represents 25 % of the observation. The interquartile range is a measure of variability around the median and it is calculated using Quartiles.

1. We will arrange the data in increasing or decreasing order.

2. We will divide the given data into two halves.

3. Find the median of both halves(bottom half and top half).

4. Find the interquartile range.

Now, performing these steps on the data given.

Data: 11  28  5  50  30  27  21  24  52  42

Step 1:  Arranging in increasing order, we get

05  11  21  24  27  28  30  42  50  52

Step 2: Dividing into two halves.

Bottom half: 05  11  21  24  27

Top half:  28  30  42  50  52

Step 3: Find the median of both halves.

Median of the bottom half(Q1) = 21

Median of the top half(Q3) = 42

Step 4: Find the interquartile range

Range = Q3 - Q1 =  42-21

                           = 21

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The complete question is -

"Consider a sample of ages of 10 executives -  

11  28  5  50  30  27  21  24  52  42. Find interquartile range."

The given statement " The normal curve is symmetric about its​ mean, u" is true because it is equally distributed on both the sides of the mean.

The normal curve is always symmetric about the line representing its mean, u.

This means that the curve is equally distributed on both sides of the line representing the mean.

And the area under the curve to the left of the mean is equal to the area under the curve to the right of the mean.

This is a defining characteristic of the normal distribution.

Which is widely used in statistics due to its many useful properties.

Therefore, the normal curve is symmetric which is about its mean is a true statement.

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The above question is incomplete, the complete, question is:

The normal curve is symmetric about its​ mean, u. T/F.

The first four non-zero terms of the Taylor series of cos(30) centered at a = m/1 are 1, -225/2!, 0, and 0.

To find the Taylor series of cos(30) centered at a = m/1, we need to find the derivatives of cos(x) at x = a, evaluate them at a = m/1, and then use those values to construct the Taylor series.

First, we find the derivatives of cos(x):

cos(x) → -sin(x) → -cos(x) → sin(x) → cos(x) → -sin(x) → -cos(x) → sin(x) → ...

The pattern of derivatives repeats every fourth derivative.

Next, we evaluate the derivatives at a = m/1, where m is some constant:

cos(m/1) → -sin(m/1) → -cos(m/1) → sin(m/1) → cos(m/1) → -sin(m/1) → -cos(m/1) → sin(m/1) → ...

Now we can construct the Taylor series:

[tex]cos(x) = cos(m/1) - (x - m/1)sin(m/1) - (x - m/1)^2cos(m/1)/2! + (x - m/1)^3sin(m/1)/3! + ...[/tex]

To find the first four non-zero terms, we plug in x = 30 degrees and m = 0 (which centers the series at x = 0):

[tex]cos(30) = cos(0) - (30 - 0)sin(0) - (30 - 0)^2cos(0)/2! + (30 - 0)^3sin(0)/3! + ...[/tex]

Simplifying, we get:

cos(30) = [tex]1 - 0 - (30)^2/2! + 0 + ...[/tex]

cos(30) = 1 - 450/2 + 0 + ...

cos(30) = 1 - 225

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