Use the Remainder Theorem to find the remainder. . a (x^5 - 6x^4 +2x^3 + 4x - 5) / (x+5) with f(x) = x^5 - 6x^4 + 2x^3 + 4x – 5

The value of x when given the equation m∥n, and the angle measures (x-25)° and (6x-5)° is 4.

The angle measures given are (x-25)° and (6x-5)°. We can use the rules of parallel lines and transversals to find the value of x.

Since line is parallel to line m, we know that corresponding angles are equal. This means that (x-25)° is equal to some other angle that is also (x-25)°.

Similarly, since line m is parallel to line n, we know that corresponding angles are equal. This means that the angle that is equal to (x-25)° is also equal to some other angle in line n.

Using the same logic, we can find the measure of the other angle in line n that is equal to (6x-5)°.

Now, we have two angles in line n that are equal in measure: one is (x-25)° and the other is (6x-5)°.

We can set up an equation to solve for x:

(x-25)° = (6x-5)°

Simplifying this equation, we get:

x - 25 = 6x - 5

Solving for x, we get:

x = 4

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Complete Question:

Given m ∥ n, find the value of x. when m = (x-25)° and n = (6x-5)°

Answer: 4  1/2 ounces

Step-by-step explanation:

Since there are 6 coins that weigh 3/4 ounces each

we should multiply 3/4 by 6

6 becomes 6/1

then you multiply straight across

6/1 x 3/4 = 18/4

the mixed number of that fraction is 4 and 2/4,

but you can simplify it more to make it 4 and 1/2

the answer is 4  1/2 ounces

Let's analyze each relation and determine which properties are satisfied:

R1 = {(x, y) | x divides y}

1. Reflexivity: For any element x in N, (x, x) is in R1 if x divides itself. Since every number divides itself, R1 satisfies reflexivity.

2. Symmetry: If (x, y) is in R1, it means x divides y. However, this does not necessarily imply that y divides x. Hence, R1 does not satisfy symmetry.

3. Transitivity: If (x, y) and (y, z) are in R1, it means x divides y and y divides z. Since divisibility is transitive, x must divide z. Therefore, R1 satisfies transitivity.

4. Antisymmetry: Antisymmetry requires that if (x, y) and (y, x) are in R1, then x = y. In this case, if x divides y and y divides x, it means x = y. Therefore, R1 satisfies antisymmetry.

5. Irreflexivity: Irreflexivity states that for any element x in N, (x, x) is not in R1. However, R1 includes pairs where x divides itself, so it does not satisfy irreflexivity.

Summary for R1: R1 satisfies reflexivity, transitivity, and antisymmetry but does not satisfy symmetry or irreflexivity.

R2 = {(x, y) | x + y is even}

1. Reflexivity: Since x + x = 2x, which is even, (x, x) is in R2 for every element x in N. Therefore, R2 satisfies reflexivity.

2. Symmetry: If (x, y) is in R2, it means x + y is even. This also implies that y + x is even, so (y, x) is in R2. Therefore, R2 satisfies symmetry.

3. Transitivity: If (x, y) and (y, z) are in R2, it means x + y and y + z are even. Adding these two equations, we get x + y + y + z = x + z + 2y, which is even. Therefore, (x, z) is in R2, and R2 satisfies transitivity.

4. Antisymmetry: Antisymmetry requires that if (x, y) and (y, x) are in R2, then x = y. In this case, if x + y is even and y + x is even, it implies that x = y. Therefore, R2 satisfies antisymmetry.

5. Irreflexivity: Irreflexivity states that for any element x in N, (x, x) is not in R2. Since x + x = 2x, which is even, (x, x) is not in R2. Therefore, R2 satisfies irreflexivity.

Summary for R2: R2 satisfies reflexivity, symmetry, transitivity, antisymmetry, and irreflexivity.

R3 = {(x, y) | xy is even}

1. Reflexivity: For any element x in N, x * x = x^2, which is always even. Therefore, (x, x) is in R3 for every element x in N. Hence, R3 satisfies reflexivity.

2. Symmetry: If (x, y) is in R3, it means xy is even. This also implies that yx is even, so (y, x) is in R3. Therefore, R3 satisfies symmetry.

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The area of the region enclosed by the curves[tex]y = 4x^2[/tex] and y = x^2/12 is (32/3)√3 - (64/9)√2 square units.

The given curves are y = 4x^2 and y = x^2/12. To sketch the region enclosed by these curves, we need to find their intersection points.

Setting y = 4x^2 and y = x^2/12 equal to each other, we get:

4x^2 = x^2/12

Multiplying both sides by 12, we get:

48x^2 = x^2

Simplifying, we get:

x = 0 or x = ±√48

So, the curves intersect at the points (0,0), (√48, 4(√48)^2), and (-√48, 4(-√48)^2).

To determine whether to integrate with respect to x or y, we need to look at the orientation of the curves. Since the curve y = 4x^2 is above the curve y = x^2/12 in the region of interest, we integrate with respect to y.

So, the area of the region is given by the integral:

∫[0, 4(√48)^2] (y/4)^0.5 - (y/12)^0.5 dy

Evaluating this integral, we get:

(32/3)√3 - (64/9)√2

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(1)

a. There are a few possible sources of error that could result in different colony counts on the two plates. One possibility is uneven distribution of bacteria when 100 µL was added to each plate, leading to a higher concentration on one plate than the other. Another possibility is contamination of one of the plates during the incubation process, which could have resulted in additional colonies. Finally, there could have been a technical error in counting the colonies, such as miscounting or counting debris as colonies.

b. Again, there are several possible sources of error that could lead to different colony counts on the two plates. One possibility is variation in the dilution process, such as uneven mixing or pipetting error, which could result in different concentrations of bacteria in the two dilution series. Another possibility is variation in the bacterial growth conditions, such as differences in temperature, humidity, or nutrient availability during incubation, which could affect the growth rate and colony size. Finally, there could have been a technical error in counting the colonies, such as miscounting or counting debris as colonies.

c. It is unclear what the "on" in this question is referring to, so I am unable to provide an answer. Please clarify or provide more information.

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So, when x = 4, y = 2, and dx/dt = 3, dy/dt = -8/3. we need to use the chain rule and implicit differentiation,

(a) If x = 4 and y = 2, we can substitute these values into the equation 4x^2 + 9y^2 = 100 to get:4(4)^2 + 9(2)^2 = 100 .

Simplifying, we get: 16 + 36 = 100, This is not true, so there is no solution for when x = 4 and y = 2. (b) To find dy/dt when x = -4 and y = 2 and dx/dt = 3, we first need to differentiate both sides of the equation 4x^2 + 9y^2 = 100 implicitly with respect to t: d/dt (4x^2 + 9y^2) = d/dt (100) .

Using the chain rule, we get: 8x (dx/dt) + 18y (dy/dt) = 0, We can substitute the given values to get: 8(-4) (3) + 18(2) (dy/dt) = 0, Simplifying, we get:
-96 + 36(dy/dt) = 0

Adding 96 to both sides and dividing by 36, we get:
dy/dt = 96/36
Simplifying, we get:
dy/dt = 8/3


Given the equation 4x^2 + 9y^2 = 100, where x and y are functions of t, let's find dy/dt when x = 4, y = 2, and dx/dt = 3.
First, differentiate both sides of the equation with respect to t:
8x(dx/dt) + 18y(dy/dt) = 0

Now, plug in the given values (x = 4, y = 2, and dx/dt = 3):
8(4)(3) + 18(2)(dy/dt) = 0,

Solve for dy/dt: 96 + 36(dy/dt) = 0

Divide by 36:
(dy/dt) = -96/36, Simplify: (dy/dt) = -8/3, So, when x = 4, y = 2, and dx/dt = 3, dy/dt = -8/3.

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Yes , Tony Romo's average passing yards per game of 158 does vary from the typical NFL quarterback average of 200 passing yards per game.

In fact, Romo's average passing yards per game is significantly lower than the league average. This could be due to a variety of factors such as his team's offensive strategy, the quality of his offensive line, his own skill level and ability, and the overall performance of his team.

It is important to note that while Romo's average is lower than the league average, it does not necessarily mean that he is a less skilled quarterback than others in the league. It is also worth considering other statistics and factors when evaluating a quarterback's performance, such as completion percentage, touchdown to interception ratio, and overall win-loss record.

Ultimately, while Romo's average passing yards per game may vary from the typical NFL quarterback average, it is important to look at a range of factors in order to accurately evaluate his performance and skill level.

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The number of loops in the curve is determined by the positive integer n, with even values resulting in half as many loops, and odd values corresponding to an equal number of loops.

The number of loops in the family of curves given by the polar equations is related to the value of the positive integer, . Specifically, if  is even, then the number of loops in the curve is  when  is a multiple of 2, and  when  is an odd multiple of 2.

On the other hand, if  is odd, then the number of loops in the curve is  when  is a multiple of 2, and  when  is an odd multiple of 2. This relationship can be explained by considering the symmetry of the curves in relation to the polar axis. When  is even, the curves exhibit -fold symmetry, which leads to  loops for even multiples of 2 and  loops for odd multiples of 2. When  is odd, the curves exhibit -fold symmetry, which leads to  loops for even multiples of 2 and  loops for odd multiples of 2.

The family of curves given by polar equations with positive integer n is related to the number of loops through their symmetry and periodicity. The number of loops in the curve is directly proportional to the value of n. Specifically, if n is even, the curve has n/2 symmetrical loops, and if n is odd, it has n loops. This relationship can be observed by examining the graph of the polar equations and analyzing the behavior of the curve as n varies. In summary, the number of loops in the curve is determined by the positive integer n, with even values resulting in half as many loops, and odd values corresponding to an equal number of loops.

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The range of K for which the closed-loop system is BIBO stable is K > 1/75.

It is possible to express the closed-loop transfer function in the following form:

T(s) = Y(s) / R(s) = -K(8s - 2) / (s + 1)(2s^2 + 6s + 25) + K(8s - 2)G(s)

To check the stability of the closed-loop system, we need to check the poles of T(s) in the s-plane. To find the poles of T(s), one needs to determine the roots of the polynomial in the denominator of T(s):

D(s) = (s + 1)(2s² + 6s + 25) - K(8s - 2)²

Setting D(s) = 0 and solving for s, we get:

s = (-3 ± sqrt(9 - 2K)) / 2

For the closed-loop system to be BIBO stable, all the poles of T(s) must lie in the left-half of the s-plane. Therefore, we need to find the range of K for which the real part of both poles is negative.

The real part of the poles is -3/2 for all values of K. Therefore, the condition for stability is:

9 - 2K > 0

or

K < 9/2

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Since the graph was obtained by transforming the graph of the square root function, an equation for the function the graph represent is: [tex]g(x) = -\sqrt{9(x - 1)} + 2[/tex]

In Mathematics, a square root function is a type of function that typically has this form f(x) = √x, which represent the parent square root function i.e f(x) = √x.

In Mathematics and Geometry, a horizontal translation to the right is modeled by this mathematical equation g(x) = f(x - N) while a vertical translation to the positive y-direction (upward) is modeled by this mathematical equation g(x) = f(x) + N.

Where:

In this context, the required square root function can be obtained by applying a set of transformations to the parent square root function as follows;

f(x) = √x

g(x) = -√9(x - 1) + 2

[tex]g(x) = -\sqrt{9(x - 1)} + 2[/tex]

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The volume of the solid enclosed by the paraboloids is (16/3)π cubic units.

To find the volume of the solid enclosed by the paraboloids y = x^2 + z^2 and y = 8 - x^2 - z^2, we can set up a triple integral using cylindrical coordinates. This will allow us to find the volume by integrating over the region enclosed by the two surfaces.

First, we need to find the intersection of the paraboloids to determine the limits of integration. We set them equal to each other:

x^2 + z^2 = 8 - x^2 - z^2

Solve for x^2 + z^2:

x^2 + z^2 = 4

In cylindrical coordinates, we let x = rcos(θ) and z = rsin(θ), so r^2 = x^2 + z^2. The intersection becomes:

r^2 = 4
r = 2

Now, we can set up the triple integral:

Volume = ∫∫∫ (8 - x^2 - z^2 - (x^2 + z^2)) rdrdθdz

Substitute x = rcos(θ) and z = rsin(θ):

Volume = ∫∫∫ (8 - r^2cos^2(θ) - r^2sin^2(θ) - (r^2cos^2(θ) + r^2sin^2(θ))) rdrdθdz

Simplify and integrate over the region with r going from 0 to 2, θ going from 0 to 2π, and z going from x^2 to 8 - x^2:

Volume = ∫(θ=0 to 2π) ∫(r=0 to 2) ∫(z=x^2 to 8-x^2) 4r dr dθ dz

Evaluating the triple integral, we obtain:

Volume = (16/3)π

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(a) The product function would be f(x) * g(x) = x(4x^2 - 5) = 4x^3 - 5x.
(b) To find the rate-of-change function, we need to take the derivative of the product function. So, f'(x) = d/dx (4x^3 - 5x) = 12x^2 - 5. This is the rate-of-change function for the product of f(x) and g(x).

Let's define the functions and find the product function and the rate-of-change function.

Given:
g(x) = 4x^2 - 5
f(x) = x

(a) Product function:
To find the product function, we need to multiply g(x) and f(x) together.

Product function = f(x) * g(x) = x * (4x^2 - 5)

Product function = 4x^3 - 5x

(b) Rate-of-change function:
To find the rate-of-change function, we need to find the derivative of the product function with respect to x.

f'(x) = d(4x^3 - 5x) / dx

Using the power rule, we get:

f'(x) = 12x^2 - 5

So, the rate-of-change function is f'(x) = 12x^2 - 5.

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Each of the 3 brothers will receive approximately 133.33 grams of cotton candy.

To determine the amount of cotton candy each of the 3 brothers will receive, we need to divide the total amount of cotton candy by the number of brothers.

Let's assume that each cone of cotton candy weighs 100 grams, making the total weight of the 4 cones equal to 400 grams.

To find out how much cotton candy each brother receives, we can use the division operation. The division statement is:

To solve for X, we need to perform the division operation, which gives us:

Therefore, each of the 3 brothers will receive approximately 133.33 grams of cotton candy.

It is important to note that if the weight of each cone of cotton candy or the total weight of the cotton candy changes, the division statement used to determine the amount of cotton candy each brother receives will also change accordingly. However, the formula of dividing the total amount of cotton candy by the number of brothers will remain the same.

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The preschool should choose Box A while shopping for sand for its sandbox. To determine which sandbox has more sand, we need to calculate the volume of each box using the formula V = lwh (volume = length × width × height).

For Box A:
- Width (w) = 9 inches
- Length (l) = 13 inches
- Height (h) = 15 inches

Applying the formula V = lwh, we get:

V_A = 9 × 13 × 15 = 1755 cubic inches

For Box B:
- Width (w) = 6 inches
- Length (l) = 12 inches
- Height (h) = 20 inches

Applying the formula V = lwh, we get:

V_B = 6 × 12 × 20 = 1440 cubic inches

Comparing the volumes, Box A (1755 cubic inches) has more sand than Box B (1440 cubic inches). So, the preschool should choose Box A while shopping for sand for its sandbox.

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A coefficient is a number multiplied by a variable, while a constant is a fixed number that doesn't change. The coefficient determines how much the variable affects the outcome, while the constant contributes a fixed value.

In mathematics, a "coefficient" is a number that is multiplied by a variable or a constant, while a "constant" is a fixed number that doesn't change.

In a constant term, there is no variable present, and the value remains the same regardless of the value of any variables. On the other hand, a coefficient is associated with a variable and it determines how much the variable affects the outcome of a mathematical expression.

For example, in the expression 3x + 5, the coefficient of x is 3 and the constant term is 5. The coefficient of x determines how much x contributes to the overall value of the expression, while the constant term contributes a fixed value that doesn't depend on x.

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--The given question is incomplete, the complete question is given

" What’s the difference between the coefficient in a constant term. "--

Answer:

What is the law of large numbers? 

In probability theory, the law of large numbers is a theorem that describes the result of performing the same experiment a large number of times. 

What does it tell us about samples as they get larger and approach infinity?

As sample sizes increase, the sampling distributions approach a normal distribution. With "infinite" numbers of successive random samples, the mean of the sampling distribution is equal to the population mean (µ).

Hope this helps :)

Pls brainliest...

Rick's mean, median and mode are 1.64, 2 and 0  respectively.

Sharon's mean, median and mode are 1.93, 2.5 and 2.5 respectively.

The measure of central tendency that best represents the data depends on need being conveyed about the data.

For Rick:

Mean = EF/x

Mean = (0 + 0 + 1.5 + 2 + 0 + 6 + 2 + 0 + 0 + 1.5 + 2 + 0 + 6 + 2) / 14

Mean = 1.64285714286

Mean = 1.64

To find the median, we will arrange values in order: 0, 0, 0, 0, 1.5, 1.5, 2, 2, 2, 2, 6, 6, 6. It is average of the two middle values which is:

=  (2 + 2) / 2

= 2.

The mode is 0 since it occurs most frequently.

For Sharon:

Mean =  EF/x

Mean = (2.5 + 1.5 + 1 + 2.5 + 2 + 2 + 2.5 + 1.5 + 2 + 1.5 + 2.5 + 2 + 1 + 2.5) / 14

Mean = 1.92857142857

Mean = 1.93.

To find the median, we will arrange the values in order: 1, 1.5, 1.5, 1.5, 2, 2, 2, 2, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5. It is:

=  (2.5 + 2.5) / 2

= 2.5.

The mode is 2.5 since it occurs most frequently.

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Answer:

23/4 C

Step-by-step explanation:

5 is whole number

3 is numerator

4 is the dominator

so u multiply 5×4=20 u then add 20 to the numerator so 20+3=23 and then u add the denominator 4. 23/4

If set of data is normally distributed with a mean of 39 and a standard deviation of 8, we can expect 68% of the data to fall within the range of 31 to 47.

For a normal distribution, we can use the Empirical Rule to estimate the percentage of data within a certain range. According to the Empirical Rule, 68% of the data falls within one standard deviation of the mean in either direction.

So, if the mean is 39 and the standard deviation is 8, we can expect 68% of the data to fall within the range of:

(39 - 8) to (39 + 8)

which simplifies to:

31 to 47

Therefore, we can expect 68% of the data to fall within the range of 31 to 47. It's important to note that this only applies to data that is normally distributed, and may not hold true for other types of distributions.

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The solubility of BaCrO4 in a 0.0180 M BaCl2 solution is 6.50 x 10^-6 M.

We are given that;

Temperature= 25

bacl2 solution= 0.0180

Now,

In a 0.0180 M BaCl2 solution, we have to consider that some of the Ba2+ ions come from the BaCl2 salt, which is highly soluble and dissociates completely in water. Therefore, the concentration of Ba2+ in the solution is not equal to x, but rather 0.0180 + x. The concentration of CrO4^2- is still equal to x, since it only comes from the dissolution of BaCrO4. Then we have:

Ksp = (0.0180 + x)x

Solving for x, we get:

(0.0180 + x)x = 1.17 x 10^-10 x^2 + 0.0180x - 1.17 x 10^-10 = 0 Using the quadratic formula, we get: x = [-0.0180 ± √(0.0180^2 + 4(1.17 x 10^-10))] / 2 x ≈ -0.0180 or x ≈ 6.50 x 10^-6 M

We reject the negative value of x, since it does not make sense for a concentration to be negative.

Therefore, by the solution the answer will be 6.50 x 10^-6 M.

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It is important to continue to promote the use of smoke detectors in homes to further reduce the number of deaths and injuries caused by fires.

Over the past years, the percentage of homes in the United States with smoke detectors has risen steadily, leading to increased safety and protection against fires. As a result of this increase in home smoke detector usage, the death rate from home fires has decreased significantly. The data in the file smoke detectors shows a clear correlation between the higher adoption of smoke detectors and the reduced number of home fire deaths per million of population. The National Fire Protection Association's findings support this trend, emphasizing the importance of having smoke detectors in homes to prevent fire-related casualties. This is because smoke detectors can detect fires early, giving people more time to evacuate and decreasing the chances of injury or death.

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Answer:

The graph will be a normal cubic graph but will be shifted down on the y axis by 3.

Step-by-step explanation:

To guarantee that the 3 team compositions (and team leads) are repeated, the professor would need to form groups a total of 3 times over the course of the semester. Each time the professor forms groups, there would be 3 possible team compositions (since the team lead can change within each group) and after 3 formations, all 3 compositions would have been used and repeated.

To determine the number of possible unique team compositions and team leads that can be formed.
1. First, we'll find the number of ways to choose team leads for each group:
There are 12 students and 3 team leads needed, so there are 12 choose 3 ways to pick the team leads, which is calculated as C(12,3) = 12! / (3! * (12-3)!) = 220.
2. Now, we'll calculate the number of ways to divide the remaining 9 students into 3 groups of 3 students each. We can use the multinomial coefficient formula, which is:
C(9,3,3,3) = 9! / (3! * 3! * 3!) = 1680
3. To find the total number of unique team compositions (including team leads), we multiply the results from steps 1 and 2 Total unique team compositions = 220 * 1680 = 369,600
4. The professor needs to form the groups 369,601 times in order to guarantee that the 3 team compositions (and team leads) will repeat.

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The question framed as How many members in the band when no one was absent.

We have,

Total programs = 525

Program assign to each holder = 25

let the total number of members in a band.

So, 25(x-2) = 525

25x  -50 =525

25x = 475

x = 18

Thus, the question framed as How many members in the band when no one was absent.

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The statement that correctly reflects the traditional usage of significance level in statistical research is quality control and political polling uses a 1% significance level, while consumer research uses a 5% significance.

In statistical research, the significance level is a threshold that is used to determine whether the results of a study are statistically significant. It represents the probability of rejecting the null hypothesis when it is actually true.

The significance level is typically set before conducting a study, and its value depends on the specific application and context of the research.

The most commonly used significance levels in different fields of research can vary, depending on the goals of the study and the consequences of making Type I and Type II errors.

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The actual value of the sample average may vary due to chance, and the typical distance it is away from the expected value is about 0.24 feet.

Given that a large population of Indian elephants has an average height of 9 feet with an SD of 0.75 feet, we can use this information to answer the following questions.
If 10 elephants are selected at random, the expected average height of these 10 elephants is still 9 feet. This is because the population average height of 9 feet remains unchanged, even if we randomly select a smaller group of elephants.
However, the actual value of the sample average may vary due to chance. This variation in the sample average is measured by the standard error of the mean (SEM). The SEM is calculated as the standard deviation of the sample divided by the square root of the sample size. For a sample size of 10, the SEM would be 0.24 feet.
Therefore, the typical distance the sample average is away from its expected value is about 0.24 feet. This means that if we were to repeat this random sampling process many times, the average height of the 10 elephants would vary by approximately 0.24 feet on average.
In summary, if 10 elephants are randomly selected from a large population of Indian elephants with an average height of 9 feet and an SD of 0.75 feet, we can expect the average height of these 10 elephants to be 9 feet.

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The equation for the total cost before tax is (19 + 8x) + (19 + 8x) x 0.07

To find the total cost including tax, we need to add the tax amount to the total cost before tax. The tax amount is found by multiplying the total cost before tax by the tax rate (as a decimal).

Tax amount = Total cost before tax x Tax rate

In this case, the tax rate is 7%, or 0.07 as a decimal. So,

Tax amount = (19 + 8x) x 0.07

To find the total cost including tax, we add the tax amount to the total cost before tax:

Total cost including tax = Total cost before tax + Tax amount

Total cost including tax = (19 + 8x) + (19 + 8x) x 0.07

This is the equation for the total cost including tax in Kiley's situation.

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Complete Question:

Kiley bought a platter for $19 and several matching bowls that were $8 each. What is the equation for the total cost before tax?

The equation (s +9)(8 + 1)(S-2) + S + 9 S + 1 s-2, values of A, B, and C are: A = -1035/167 B = -855 C = -1245

To solve the given equation (s +9)(8 + 1)(S-2) + S + 9 S + 1 s-2 for A, B, and C, we first need to expand the terms inside the brackets: (s + 9)(8 + 1)(s - 2) + s + 9s + 1s - 2

Simplifying the above expression, we get: (9s + 72)(s - 2) + 11s - 2 Expanding further, we get: 9s^2 - 126s - 144 + 11s - 2 Combining like terms, we get: 9s^2 - 115s - 146

Now, we need to factor the above equation into the form A(s - r)(s - q), where r and q are the roots of the equation. To do this, we need to find the values of A, r, and q. We can use the quadratic formula to find the roots of the equation: s = (-(-115) ± sqrt((-115)^2 - 4(9)(-146))) / (2(9)) s = (-(-115) ± sqrt(16801)) / 18 s = (115 ± 129) / 18 s = 14 or -11/9

Thus, the roots of the equation are s = 14 and s = -11/9. Now, we can use these roots to find the values of A, r, and q: A(s - r)(s - q) = A(s - 14)(s + 11/9) Expanding the above expression, we get: A(s^2 - (14 + 11/9)s + 14*11/9) Comparing the above expression with the equation we started with, we can see that: A = 9 -115/9 = -14A - (11/9)A -115/9 = -(167/9)A A = -115/(-167/9) A = -1035/167

Therefore, A = -1035/167. To find the values of B and C, we can use the coefficients of s and s^0 (i.e., the constant term) in the original equation: 9s^2 - 115s - 146 = (As - Ar)(As - Aq) Comparing the coefficients of s, we get: -115 = -A(r + q) Substituting the value of A, we get: -115 = (1035/167)(-14 - 11/9)

Simplifying the above expression, we get: -115 = -855/167 - 1245/1503 Multiplying both sides by 1503, we get: -172245 = -855*1503 - 1245*167 Therefore, B = -855 and C = -1245.

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Answer:

What is the surface area of this complex shape?

O   A. 545 ft

O   B. 458 ft

O   D. 1000 ft

O   E. 680 ft

O   F. 408 ft

Step-by-step explanation:

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Answer: Your answer is B. 458 ft

Step-by-step explanation:

sa= 2 [(12 x 5) + (12 x 5) + (7 x 7) + (5 x 12)]

sa= 2 (60 + 60 + 49 + 60)

sa= 2 (229)

sa= 458 ft

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The level of measurement and number of levels of your independent variable will determine which statistical test is most appropriate for your data analysis.

T-test: The t-test is typically used to compare the means of two independent groups on a continuous variable. It is appropriate when your independent variable has only two levels and your dependent variable is measured at the interval or ratio level.

Product moment correlation: This is a measure of the strength and direction of the linear relationship between two continuous variables. It is appropriate when both variables are measured at the interval or ratio level.

Chi-square test: The chi-square test is used to test for association between two categorical variables. It is appropriate when both variables are measured at the nominal level.

One-way ANOVA: This test is used to compare the means of three or more independent groups on a continuous variable. It is appropriate when your independent variable has three or more levels and your dependent variable is measured at the interval or ratio level.

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Complete Question:

How the level of measurement and the number of levels of your independent variable help you choose between these options.

a) T test

b) Product moment correlation

c) Chi square

d) One way ANOVA