HURRY 15(-74a+51)=15(7a+456)
a.6
b.-5
c.-2
d.5

Answer:

23

Step-by-step explanation:

8-2=6

6×3=18

18+5=23

Answer: 23

Step-by-step explanation:

Answer:

Step-by-step explanation:

The layout looks like this.

r-----------s-----------------t

    6.4        

----------------9.3-----------

Now you want st so the formula is

rt = rs + st

9.3 = 6.4 + st            Subtract 6.4 from both sides

9.3 - 6.4 = st             Combine

st = 2.9

The probability that fewer than 135 did not use the top web browser is 0.0885 (rounded to four decimal places).

Given that the top web browser had 51.04% of the market.

Representing the probability of using top web browser P(T) = 0.5104

Probability of not using the top web browser is P(N) = 1 - 0.5104 = 0.4896

The sample size is n = 300 people.

We need to find the probability that fewer than 135 people did not use the top web browser.

Therefore, the required probability is given by;

P(X < 135)

Where X is the number of people who did not use the top web browser.

The number of people who did not use the top web browser follows a binomial distribution with parameters n = 300 and p = 0.4896.

The mean of the distribution is given by;

Mean = np= 300 × 0.4896 = 146.88

The variance of the distribution is given by;

Variance = np(1 - p)= 300 × 0.4896 × 0.5104 = 74.8473

The standard deviation of the distribution is;

Standard deviation = √variance= √74.8473= 8.6485z = (X - μ) / σ

Where μ is the mean and σ is the standard deviation of the distribution

Substitute the mean and standard deviation of the distribution; z = (X - μ) / σ = (135 - 146.88) / 8.6485= -1.3542

Using a standard normal distribution table, find the probability that Z < -1.3542P(Z < -1.3542) = 0.0885

The probability that fewer than 135 did not use the top web browser is 0.0885 (rounded to four decimal places).

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Answer:

x = -60

Step-by-step explanation:

1/3x=−20

X is 1/3

X times 3 = a full X

Fill it in

X times -20 = -60

Hope this helps :)

Answer:

Answer is C.

Step-by-step explanation:

it changes the CHEMICAL composition of it

Answer:

a

Step-by-step explanation:

jefioweodke = f0eoddjeoe  -2fkoforkg f = A

Discouraging consumers from purchasing products from an insurer is referred to as "consumer dissuasion." It involves implementing strategies or tactics to dissuade potential customers from choosing a particular insurance company or its products.

Consumer dissuasion is a practice employed by insurers to discourage consumers from selecting their products or services. This strategy is often used to manage risk by discouraging individuals or groups that insurers perceive as having a higher likelihood of filing claims or incurring higher costs. Insurers may employ various techniques to dissuade potential customers, such as setting higher premiums, imposing strict eligibility criteria, or offering limited coverage options. The purpose of consumer dissuasion is to selectively attract customers who are deemed less risky or more profitable for the insurer, thereby ensuring a healthier portfolio and reducing potential losses. By implementing strategies that discourage certain segments of the market, insurers can manage their risk exposure and maintain profitability. It is important to note that consumer dissuasion practices should adhere to applicable laws and regulations governing the insurance industry, including fair and transparent practices. Insurers are expected to provide clear and accurate information to consumers, enabling them to make informed decisions about insurance coverage and products.

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The value of the y-intercept for the best fitting regression line is approximately 2.9236. Based on the available options, none of them match the calculated value.

To determine the y-intercept of the best fitting regression line, we need to use the formula for the equation of a straight line, which is given by:

y = mx + b

where y represents the dependent variable, x represents the independent variable, m represents the slope of the line, and b represents the y-intercept.

In this case, we are given that b = 0.54, My = 3.35, and Mx = 5.85. The values My and Mx represent the means of the dependent and independent variables, respectively.

The slope of the best fitting regression line (m) can be calculated using the formula:

m = (My - b * Mx) / (Mx - b * Mx)

Substituting the given values, we have:

m = (3.35 - 0.54 * 5.85) / (5.85 - 0.54 * 5.85)

 = (3.35 - 3.159) / (5.85 - 3.1719)

 = 0.191 / 2.6781

 ≈ 0.0713

Now that we have the value of the slope (m), we can substitute it back into the equation of a straight line to find the y-intercept (b).

y = mx + b

Using the given values, we have:

3.35 = 0.0713 * 5.85 + b

Simplifying the equation:

3.35 = 0.4264 + b

Subtracting 0.4264 from both sides:

b = 3.35 - 0.4264

 ≈ 2.9236

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Answer:

60%

Step-by-step explanation:

yes

The number of teachers who teach at both Albers Elementary School and Bothel Elementary School is 19.

Let's assume the number of teachers who teach at both schools is 'x'. According to the given information, Albers Elementary School has 39 teachers and Bothel Elementary School has 84 teachers. The total number of teachers at both schools combined is 104.

We can set up an equation to solve for 'x'. The sum of the number of teachers at Albers and Bothel should be equal to the total number of teachers: 39 + 84 - x = 104. Simplifying the equation, we get 123 - x = 104. By subtracting 123 from both sides, we find -x = -19. Multiplying both sides by -1 gives us x = 19.

Therefore, the number of teachers who teach at both Albers Elementary School and Bothel Elementary School is 19.

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Answer:

\(\boxed{x^4 + x^2 + x}\)

Step-by-step explanation:

\(\frac{x^5 - x^4 + x^3 -x^2 + x - 1}{x - 1}\)

\(= \frac{(x - 1)(x^4 + x^2 + x)}{x - 1}\)

\(= x^4 + x^2 + x\)

.

Happy to help :)

Answer:

2.33 yards

Step-by-step explanation:

3 1/2-3.5

2/3-0.66

0.66 x 3.5 = n

Answer:

b) I think. sorry if its wrong.

Step-by-step explanation:

By applying the Kuhn-Tucker theorem, the maximum value of xy is: 18/25

The constraints are:-4x² - 2xy - 4y²x + 2y ≤ 22x - y ≤ -1

Let us solve this problem by applying the Kuhn-Tucker theorem.

Let us first write down the Lagrangian function:

L = xy + λ₁(-4x² - 2xy - 4y²x + 2y - 2) + λ₂(2x - y + 1)

Then, we find the first order conditions for a maximum:

Lx = y - 8λ₁x - 2λ₁y + 2λ₂ = 0

Ly = x - 8λ₁y - 2λ₁x = 0

Lλ₁ = -4x² - 2xy - 4y²x + 2y - 2 = 0

Lλ₂ = 2x - y + 1 = 0

The complementary slackness conditions are:

λ₁(-4x² - 2xy - 4y²x + 2y - 2) = 0

λ₂(2x - y + 1) = 0

Now, we solve for the above equations one by one:

From equation (3), we can write 2x - y + 1 = 0, which implies:y = 2x + 1

Substitute this in equation (1), we get:

8λ₁x + 2λ₁(2x + 1) - 2λ₂ - x = 0

Simplifying, we get:

10λ₁x + 2λ₁ - 2λ₂ = 0 ... (4)

From equation (2), we can write x = 8λ₁y + 2λ₁x

Substitute this in equation (1), we get:

8λ₁(8λ₁y + 2λ₁x)y + 2λ₁y - 2λ₂ - 8λ₁y - 2λ₁x = 0

Simplifying, we get:

-64λ₁²y² + (16λ₁² - 10λ₁)y - 2λ₂ = 0 ... (5)

Solving equations (4) and (5) for λ₁ and λ₂, we get:

λ₁ = 1/20 and λ₂ = 9/100

Then, substituting these values in the first order conditions, we get:

x = 2/5 and y = 9/5

Therefore, the maximum value of xy is:

2/5 x 9/5 = 18/25

Hence, the required answer is 18/25.

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Answer:

\(f'(x)= \frac{13}{(2x+3)^2}\\\)

Step-by-step explanation:

\(f(x)= \frac{3x-2}{2x+3} \\\)

\(f'(x)=\frac{dy}{dx} = \frac{d}{dx}(\frac{3x-2}{2x+3})\\ f'(x)= \frac{(2x+3)\frac{d}{dx}(3x-2)-(3x-2)\frac{d}{dx}(2x+3) }{(2x+3)^{2} } \\f'(x)= \frac{(2x+3)(3)-(3x-2)(2)}{(2x+3)^{2} } \\\)

\(f'(x)= \frac{6x+9-6x+4}{(2x+3)^{2} }\\ f'(x)= \frac{13}{(2x+3)^2}\\\)

When a ray bisects an angle, it divides said angle in half. This means that the two new created angles will have the same measurement and when added they should be equal to the larger one. With this in mind we can find mABX as shown below:

We were given the values for mABC and mCBX, so we use those in the expression above and solve for the value of mABX. We have:

The value of mABX is "4x + 11".

Answer:

No.

Step-by-step explanation:

Perpendicular in the dictionary means: at an angle of 90° to a given line, plane, or surface. Those lines do not create a square angle, as the points of the lines do not match up, so it will not create a right angle. (90°)

Based on the number of pounds of butter that Hall has and the number of cups needed per fasnachts, the number of fasnachts Hall will be able to make is 36 fasnachts

First, find out the number of cups of butter than Hall has:

= 9 pounds x 2 cups per pound

= 18 cups

Then, find out the number of 3/4 cups in this amount of butter:
= 18 cups / 3/4

= 18 x 4/3

= 24 cups

The number of fasnachts that Hall can make are:

= 24 x 1.5 frozen fasnachts per cup

= 36 fasnachts

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Answer:

is there any more information

Step-by-step explanation:

5 % decrease means 95 %  (.95)  remain

Year 1

   800 * .95

   year 2  800 * .95  * .95

       .

       .

        year 5 = 800(.95)^5 = 619 deer after year 5

We can list the first four perfect squares:

We can following the same pattern to find the rest of the square and compare them to those that are a perfect cube:

Then, we have

We can see from the two lists:

Perfect squares: 1, 4, 9, 16, 25, 36, 49, 64, 81, 100....

Perfect cubes: 1, 8, 27, 64, 125....

Comparing these two lists, we have that the number 64 is, at the same time, a perfect square and a perfect cube.

Then, to find the answer, we need to make two lists, first, raising the natural numbers to the second power, and then, to the third power, and compare when we get a number is a perfect square and a perfect cube (the other apart from 1).

Perimeter:

2L + 2W = 380

2L = 380 - 2W

C(W) = (2W x 9) + ((380-2W) x 8)

\(\tt C(W)=18W-16W+3040=2W+3040\)

Answer:

x = -2

General Formulas and Concepts:

Pre-Algebra

Order of Operations: BPEMDAS

Equality Properties

Algebra I

Step-by-step explanation:

Step 1: Define

f(x) = 3x - 1

f(x) = -7

Step 2: Solve for x

The planned expenditures in the most basic model are equal to the total expenses projected for a specific period of time, typically calculated on a monthly or annual basis.

To determine the planned expenditures in the most basic model, you need to consider all the expenses that will be incurred during the designated period. This includes both fixed and variable costs. Fixed costs are expenses that remain constant regardless of production or sales volume, such as rent, insurance, and salaries. Variable costs, on the other hand, fluctuate based on production or sales levels, such as raw materials, utilities, and commissions.

To calculate the planned expenditures, you should list all the expenses and their corresponding amounts. Add up the fixed costs for the period and estimate the variable costs based on expected production or sales levels. Summing these figures will give you the total planned expenditures.

The planned expenditures represent the estimated total expenses for a specific period. By accurately forecasting and tracking these expenditures, individuals and businesses can effectively manage their finances and make informed decisions regarding budgeting, investments, and cost control.

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Answer:

x=14

y=41

x+y= 55

Step-by-step explanation:

Since a and b are parallel you know that 123° and 3y are the same degree, so 123 divided by 3 because its 3×y= 41 so y=41

the line123° and 4x+1 are on has to equal 180 because its a straight line, 180-123= 57. 57- 1 because its not with the x= 56. 56÷4 because its 4×x/its with the x= 14. Hope thsi helps :)

Answer: He completes 2 4/5 rows per hour

if he completed 140 rows, how many hours did it take?

We should divide the work completed by the amount of work done per hour.

So, 140/(2 4/5) =  

2 4/5 is equivalent to 2.8  

so 140/2.8 = 50 hours

Step-by-step explanation:

Step-by-step explanation:

are you having problems with something if so message

To orthogonally diagonalize a matrix A, we need to find a matrix P such that P^T * A * P is a diagonal matrix. Here's how you can find such a matrix P:

1. Find the eigenvalues of A.

2. For each eigenvalue, find its corresponding eigenvector.

3. Form a matrix P by arranging the eigenvectors as columns.

4. Verify that P^T * A * P is a diagonal matrix.

Let's go through the steps to find the matrix P for a given matrix A.

1. Find the eigenvalues of A:

  Let's assume A is the matrix provided.

  A = [[a, b],

       [c, d]]

  To find the eigenvalues, we solve the characteristic equation:

  |A - λI| = 0, where λ is the eigenvalue and I is the identity matrix.

  |A - λI| = |[[a, b],

                [c, d]] - [[λ, 0],

                            [0, λ]]|

           = |[[a - λ, b],

                [c, d - λ]]|

  Determinant of A - λI must be equal to 0:

  (a - λ)(d - λ) - bc = 0

  λ^2 - (a + d)λ + (ad - bc) = 0

  Solve this quadratic equation to find the eigenvalues λ1 and λ2.

2. Find the corresponding eigenvectors:

  For each eigenvalue, substitute it back into (A - λI) * v = 0 and solve for v. Normalize the eigenvectors if necessary.

3. Form matrix P:

  Arrange the eigenvectors as columns to form matrix P.

4. Verify diagonalization:

  Calculate P^T * A * P. If the result is a diagonal matrix, then P orthogonally diagonalizes A.

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a) The 90% confidence interval for μ when n = 144 is (34.006, 34.994).

b) The 90% confidence interval for μ when n = 576 is (34.251, 34.749).

c) The widths of the confidence intervals found in parts a is 0.494 and b is 0.249.

a) For n = 144 and a 90%  confidence interval:

The critical value for a 90% confidence level with (n - 1) degrees of freedom is approximately 1.660. Using this value:

Confidence Interval = 34.5 ± 1.660 × (3.6 / sqrt(144))

Calculating the confidence interval:

Confidence Interval = 34.5 ± 1.660 × (3.6 / 12)

Confidence Interval = 34.5 ± 0.494

Therefore, the 90% confidence interval for μ when n = 144 is (34.006, 34.994).

b) For n = 576 and a 90% confidence interval:

The critical value remains the same: 1.660.

Confidence Interval = 34.5 ± 1.660 × (3.6 / sqrt(576))

Calculating the confidence interval:

Confidence Interval = 34.5 ± 1.660 × (3.6 / 24)

Confidence Interval = 34.5 ± 0.249

Therefore, the 90% confidence interval for μ when n = 576 is (34.251, 34.749).

c) The width of a confidence interval is given by:

Width of confidence interval = 2 × (critical value) × (standard deviation / sqrt(n))

For part a:

Width of confidence interval = 2 × 1.660 × (3.6 / sqrt(144))

Width of confidence interval = 0.494

For part b:

Width of confidence interval = 2 × 1.660 × (3.6 / sqrt(576))

Width of confidence interval = 0.249

Therefore, the widths of the confidence intervals in parts a and b are 0.494 and 0.249, respectively.

To compare the effect of quadrupling the sample size while holding the confidence coefficient fixed, we can calculate the ratio of the widths:

Ratio of widths = W2 / W1 = 0.249 / 0.494 = 0.504

So, quadrupling the sample size while holding the confidence coefficient fixed reduces the width of the confidence interval by approximately 50.4%.

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