7. consider y 0 = 1 − 2t 3y, y(0) = 0.5. find approximate values of the solution at t = 0.2. use the improved euler’s method with h = 0.1.

Option D is correct, at an angle of 25 degrees the target platform attached to the frame.

In the diagram we have to find the angle θ.

At which angle the target platform attached to the frame.

To find the angle we can use the tan function.

We know that tan function is a ratio of opposite side and adjacent side.

The opposite side of angle is 33 in and adjacent side is 72 in.

Tanθ = 33/72

Tanθ = 0.45

Apply tan⁻¹ on both sides of the equation.

θ = tan⁻¹(0.45)

θ =24.56

θ =25 degrees

Hence, at an angle of 25 degrees the target platform attached to the frame.

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Answer:

n = 16

Step-by-step explanation:

LO is parallel to MN since they both make a right angle with KM.

Therefore, triangles KLO and KMN are similar triangles.

As corresponding sides of similar triangles are always in the same ratio:

KL : KM = LO : MN

From inspection of the given diagram:

Substitute the values into the ratio and solve for n:

[tex]\implies \sf KL : KM = LO : MN[/tex]

[tex]\implies \sf 30: 45= n: 24[/tex]

[tex]\implies \sf \dfrac{30}{45}=\dfrac{n}{24}[/tex]

[tex]\implies \sf n=24 \cdot \dfrac{30}{45}[/tex]

[tex]\implies \sf n=\dfrac{720}{45}[/tex]

[tex]\implies \sf n=16[/tex]

Therefore, the value of n is 16.

The logarithmic form of the equation 13 to the power of 0 equals 1 is log base 13 of 1 equals 0.

To understand why this is the case, recall that the logarithm of a number is the exponent to which another fixed value, called the base, must be raised to produce that number. In this case, the base is 13 and the number is 1. We want to find the exponent to which 13 must be raised to produce 1. Since any number to the power of 0 is equal to 1, we know that 13 to the power of 0 equals 1. Therefore, the logarithm of 1 to the base 13 is 0. Written in logarithmic form, this is log base 13 of 1 equals 0.

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Answer:

B

Step-by-step explanation:

After considering all the given data we conclude that the three primary trigonometric ratios as a fraction for the mentioned angle are sin A = 9/41, cos A = 40/41, and tan A = 9/40.

Let us proceed by first considering that for the given   right angled triangle ABC,

Here,

AB = 41,

AC = 40,

BC = 9,

we could  evaluate the three primary trigonometric ratios as

Sine (sin) of angle A = Opposite side / Hypotenuse = BC / AB = 9 / 41

Cosine (cos) of angle A = Adjacent side / Hypotenuse = AC / AB = 40 / 41

Tangent (tan) of angle A = Opposite side / Adjacent side = BC / AC = 9 / 40

Hence, sin A = 9/41, cos A = 40/41, and tan A = 9/40.

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The variable that fits this description is a discrete variable. Discrete variables are often used in statistics and data analysis to describe populations or samples. They are important for identifying patterns and relationships in data and can be used to make predictions or draw conclusions.

A discrete variable is a type of variable that takes on distinct and separate values or categories. These values are typically counted in whole numbers, such as the number of children in a family, the number of cars in a parking lot, or the number of pets in a household.

In contrast, continuous variables can take on any value within a range, such as height, weight, or temperature. These variables are measured on a continuous scale and can take on fractional or decimal values.

Examples of discrete variables include the number of students in a class, the number of coins in a piggy bank, and the number of days in a month. While these variables can take on different values, they are always counted in whole numbers and are not measured on a continuous scale.

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If you calculated a 95% confidence interval instead of a 99% confidence interval, the width of the interval would typically decrease.

A confidence interval represents a range of values within which we have a certain level of confidence (expressed as a percentage) that the true population parameter lies. The higher the confidence level, the wider the interval because we want to be more confident in capturing the true parameter.

When you calculate a 99% confidence interval, you allow for a larger range of values, which means the interval will be wider. This wider interval provides a higher level of confidence that the true parameter falls within it.

On the other hand, a 95% confidence interval allows for a smaller range of values, resulting in a narrower interval. This narrower interval provides a slightly lower level of confidence compared to the 99% interval.

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The ratio test is a useful tool for determining the radius of convergence of a power series. In this problem, we apply the ratio test to find the radius of convergence, R, of the series [infinity] n!(3x − 1)nn = 1.

The ratio test states that if the limit of the absolute value of the ratio of consecutive terms of a series is less than 1, then the series converges absolutely.

If the limit is greater than 1, then the series diverges. If the limit is equal to 1, then the test is inconclusive.

In this case, we compute the limit of the absolute value of the ratio of consecutive terms:

lim |an+1/an| = lim |(n+1)(3x-1)/(n+1)| = |3x-1|

Since this limit exists for all values of x, the series converges for all x. Therefore, the radius of convergence, R, is infinity.

In summary, the radius of convergence of the series [infinity] n!(3x − 1)nn = 1 is infinity, meaning that the series converges for all values of x.

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A 95% confidence interval's margin of error is 2.8. The margin of error will be less than 2.8 if the confidence level is reduced to 90%. Here option A is the correct answer.

The margin of error is the range within which the true population parameter is expected to lie, given a certain level of confidence. In this case, we are given that the margin of error for a 95% confidence interval is 2.8. This means that if we were to conduct the same study many times and construct 95% confidence intervals using each sample, about 95% of those intervals would contain the true population parameter.

Now, if we decrease the confidence level to 90%, the margin of error will become smaller. This is because a lower level of confidence means we are willing to tolerate a greater risk of being wrong, so we can afford to have a narrower interval.

To see why this is the case, consider the formula for the margin of error:

The margin of Error = Z * (Standard Deviation / Square Root of Sample Size)

Where Z is the z-score for the desired level of confidence, and the standard deviation represents the variability in the sample data. The sample size also plays a role in determining the margin of error, with larger samples leading to smaller margins of error.

If we decrease the level of confidence from 95% to 90%, the z-score will become smaller (since we need to cover less area in the tails of the distribution). This means that the product of Z and the standard deviation will be smaller, which in turn will lead to a smaller margin of error.

The margin of error will be smaller than 2.8 if we decrease the confidence level to 90%. It is important to note, however, that a smaller margin of error comes at the cost of a lower level of confidence, meaning there is a greater chance of being wrong. Additionally, changing the level of confidence after data has been collected can lead to biased results, so it is generally recommended to specify the desired level of confidence before conducting a study.

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Complete question:

The margin of error for a 95% confidence interval is 2.8. If we decrease the confidence level to 90%, the margin of error will be

A - smaller than 2.8.

B - biased.

C - larger than 2.8.

D - 99%.

Answer: 7s - 2 + 3 + (s + 3) = 52

Step-by-step explanation:

We can use the alternating series error bound to estimate the error between the infinite series S and its partial sum P. The alternating series error bound states that the error between S and P is less than or equal to the absolute value of the first neglected term. That is:

|S - P| <= |a_{n+1}|

where a_{n+1} is the (n+1)-th term in the series.

In this case, we have:

S = -1 + 1/2 - 1/3 + 1/4 - ...

P = -1 + 1/2

and

a_{n+1} = (-1)^{n+1} / (n+1)

We want to find the least value of k for n=1 such that |a_{n+1}| is less than the error bound that guarantees that |S - P| < k. That is:

|a_{n+1}| < k

Substituting n=1 and P= -1 + 1/2, we get:

|a_2| = 1/3 < k

Therefore, the least value of k for n=1 that satisfies the error bound is k = 1/3.

To check which option is correct, we need to calculate the value of S - P and see if it is less than 64, 66, 68, or 70. We have:

S - P = -1/3 + 1/4 - 1/5 + 1/6 - ...

The sum of the first two terms is approximately -0.25, which is less than 0.33 (the error bound). Therefore, we have:

|S - P| < 0.33

So the correct answer is (A) 64, since 0.33 is less than 64.

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The owner of the bookstore sells the used books for $6 each. J.

The price of a used book in the bookstore we need to calculate how much the owner is selling the books for.

The owner of the bookstore buys the used books from customers for $1.50 each.

The owner resells the used books for we need to multiply the cost price by 400%:

$1.50 x 400% = $1.50 x 4

= $6

The markup percentage for the used books is very high.

The owner is reselling the used books for four times the amount he paid for them.

This is a common practice in the used book industry as it allows the owner to make a profit on the books they sell.

It is important for customers to be aware of the markup and shop around for the best prices.

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Answer: I think the answer is 104m

Step-by-step explanation: 8x10=80+6x4=104

(a) It will take Marti 38 spins to win by placing a $1 bet on number 15.

(b) The standard deviation of 37.36 means that there's a considerable variation in the number of spins it might take Marti to win her $1 bet on number 15.

We'll be discussing the mean and standard deviation of Y, where Y is the number of spins it takes for Marti to win by betting $1 on number 15 in roulette.

(a) The mean of Y can be calculated using the expected value formula for a geometric distribution: E(Y) = 1/p, where p is the probability of success. In this case, p = 1/38. Therefore, the mean of Y is:
E(Y) = 1 / (1/38) = 38
This means that on average, it will take Marti 38 spins to win by placing a $1 bet on number 15.

(b) The standard deviation of Y can be calculated using the formula for the standard deviation of a geometric distribution: SD(Y) = √[(1-p)/p^2].

Plugging in our values, we get:
SD(Y) = √[(1 - 1/38) / (1/38)^2] ≈ 37.36

The standard deviation of Y, approximately 37.36, indicates the average variation in the number of spins it takes for Marti to win. A higher standard deviation would suggest a wider range of spins needed to win, while a lower standard deviation indicates a more consistent number of spins.

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The general solution to the trigonometric equation -√3 secθ = 2 is

θ = 5π/6 + 2πn, where n is an integer.

Use the concept of trigonometric identity defined as:

Trigonometric Identities are equality statements that hold true for all values of the variables in the equation and that use trigonometry functions.

There are several distinctive trigonometric identities that relate a triangle's side length and angle. Only the right-angle triangle is consistent with the trigonometric identities.

The given trigonometric expression is:

-√3 secθ = 2

Divide both sides of the equation by -√3:

secθ = -2/√3.

Since sec is the reciprocal of cosine,

Rewrite the equation as:

cosθ = -√3/2.

The cosine function is negative in the second and third quadrants.

In the unit circle,

The angle whose cosine is -√3/2 is 5π/6 radians or 150 degrees.

To find the general solution,

Consider all angles that are coterminal with 5π/6 radians or 150 degrees.

The general solution is given by:

θ = 5π/6 + 2πn, where n is an integer.

Hence,

The general solution to the trigonometric equation -√3 secθ = 2 is θ = 5π/6 + 2πn, where n is an integer.

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The complete question is:

What is the general solution to the trigonometric equation -√3 secθ = 2?

ANSWER:

18

STEP-BY-STEP:

To find the maximum value of P, we need to evaluate P at each vertex.

P(0,0)=3(0)+2(0)=0+0=0

P(0,22/3)=3(0)+2(22/3)=0+44/3=44/ 3

Now

P(16/5,0)=3(16/5)+2(0)=48/5+0=48/ 5

P(2,6)=3(2)+2(6)=6+12=18

Therefore, the maximum value of P is *18* when x = *2* and y = *6*.

Answer:

18

Step-by-step explanation:

To find the maximum value of p, substitute the value of x and the value of y of each vertices in the equation and then compare the results

p = 3x + 2y

For (0,0)

p = 3(0) + 2 (0)

For (0,7.3)

p = 3(0) + 2 (7.3) = 0

For (2,6)

p = 3(2) + 2(6) = 18

For (3.2,0)

p = 3(3.2) + 2(0) = 9.6

therefore the maximum value of p = 18

The ion product of water is defined as the product of the concentrations of hydronium. At 10 °C, the ion product of water (Kw) is 2.93 x 10^-15.  So, the concentration of hydronium ions at 10 °C is approximately 1.71 * 10^-8 M, written with three significant figures and in scientific notation.

At 10 °C, the ion product of water (Kw) is 2.93 x 10^-15. The ion product of water is defined as the product of the concentrations of hydronium

([tex]H_{3}O+[/tex]) and hydroxide ([tex]OH-[/tex]) ions in pure water at a given temperature. Since water is neutral, the concentrations of  [tex]H_{3}O+[/tex]and [tex]OH-[/tex]are equal, so the concentration of each ion can be found by taking the square root of the ion product.
[tex]c (H_{3}0) = c(OH-) = \sqrt{(Kw)} = \sqrt{(2.93 x 10^-15)} = 1.71 x 10^-8 mol/L[/tex]
Therefore, the concentration of hydronium ions at 10 °C is 1.71 x 10^-8 mol/L. This answer has three significant figures and is written in scientific notation using the multiplication symbol.
To find the concentration of hydronium ions, we'll use the ion product of water (Kw) formula:
Kw = [H+] * [OH-]
We are given the Kw value at 10 °C, which is 2.93 * 10^-15. Since the concentration of hydronium ions [H+] and hydroxide ions [OH-] are equal in pure water, we can rewrite the equation as:
Kw = [H+]^2
Now, we need to find [H+]:
1. Divide both sides of the equation by [H+].
  [H+] = √(Kw)
2. Substitute the given Kw value.
  [H+] = √(2.93 * 10^-15)
3. Calculate the square root of Kw.
  [H+] ≈ 1.71 * 10^-8
So, the concentration of hydronium ions at 10 °C is approximately

1.71 * 10^-8 M, written with three significant figures and in scientific notation.

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To find y(2), we first need to solve the given differential equation: dy/dx = 8y.

1. Separate variables: divide both sides by y and multiply both sides by dx. This gives us (1/y) dy = 8 dx.
2. Integrate both sides: ∫(1/y) dy = ∫8 dx.
3. The antiderivative of (1/y) is ln|y|, and the antiderivative of 8 is 8x. So we have ln|y| = 8x + C, where C is the integration constant.
4. Solve for y: y = e^(8x + C) = e^(8x) * e^C. Since e^C is also a constant, we can replace it with another constant, say k: y = k * e^(8x).
5. Use the initial condition y(0) = 10 to find the value of k: 10 = k * e^(8 * 0), so k = 10.
6. Plug in the value of k to get the final solution: y = 10 * e^(8x).


Now we can find y(2) by plugging in x = 2: y(2) = 10 * e^(8 * 2) = 10 * e^16.

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The given statement is "In determining the size of hail stones, weather spotters should report the longest dimension of the largest hail stone"

This statement is False because meteorologists ought to report the hail stones' diameter in millimeters rather than their longest dimension.

The longest dimension is the longest line member between the two points of the hailstone, while the periphery is the longest distance between the two points. The standard measurement utilized by meteorologists is the periphery, which is a more accurate measurement of the size of the hail gravestone.

This is because the hailstone size could be used as an indicator of the wind speed and the height of the storm where it formed. The National Weather Service uses size criteria to issue various hail size warnings.

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Answer:

At least 3 times each because 6 divided by 2 = 3.

Step-by-step explanation:

The three represents how many I think it will land on and plus that would mean 50/50 change it can land on tails and heads each 3 times.

The statement "If B = [tex]PDP^{-1}[/tex] with P an orthogonal matrix and D a diagonal matrix, then B is a symmetric matrix" is true because If B = [tex]PDP^{-1}[/tex] with P an orthogonal matrix and D a diagonal matrix, then B is a symmetric matrix.

For a matrix to be symmetric, it should be equal to its transpose. Using the given equation, we have:

B^T = ([tex]PDP^{-1}[/tex])^T = (P^-1)^T D^T P^T

Since P is an orthogonal matrix, P^T = P^-1, and we can simplify the above equation as:

B^T = PDP^-1 = B

Therefore, B is equal to its transpose and is a symmetric matrix. Hence the statement is true.

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Therefore, the general solution to the nonhomogeneous system is:
x(t) = c1 e^(-t) (1,1) + c2 e^(-4t) (3,-2) + (11/5 e^(-t) - 2/5 e^(-4t), -13/5 e^(-t) + 1/5 e^(-4t))

To solve the nonhomogeneous system x=(-2_3}x +(22"), we can use the method of variation of parameters. The first step is to find the general solution to the associated homogeneous system, which is x=(-2_3}x. We can do this by finding the eigenvalues and eigenvectors of the coefficient matrix:
| -2   3 |
|  2  -3 |
The eigenvalues are λ = -1 and λ = -4. For λ = -1, the corresponding eigenvector is (1,1), and for λ = -4, the corresponding eigenvector is (3,-2). Therefore, the general solution to the homogeneous system is:
x(t) = c1 e^(-t) (1,1) + c2 e^(-4t) (3,-2)
To find the particular solution to the nonhomogeneous system, we assume that the solution has the form:
x(t) = u1(t) (1,1) + u2(t) (3,-2)
We then substitute this into the original system and solve for u1'(t) and u2'(t). This gives us:
u1'(t) = -11/5 e^(-t) + 2/5 e^(-4t)
u2'(t) = 13/5 e^(-t) - 1/5 e^(-4t)
Integrating these expressions with respect to t, we get:
u1(t) = 11/5 e^(-t) - 2/5 e^(-4t) + c1
u2(t) = -13/5 e^(-t) + 1/5 e^(-4t) + c2
where c1 and c2 are constants of integration. Therefore, the general solution to the nonhomogeneous system is:
x(t) = c1 e^(-t) (1,1) + c2 e^(-4t) (3,-2) + (11/5 e^(-t) - 2/5 e^(-4t), -13/5 e^(-t) + 1/5 e^(-4t))
where c1 and c2 are determined by the initial conditions. This is the final solution to the given nonhomogeneous system using the variation of parameters method.

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Answer: c = 10, d = 7

Step-by-step explanation:

To solve this system using the linear combination method, we want to eliminate one of the variables, either c or d, by adding or subtracting the two equations. One way to do this is to add the two equations together, which will cancel out the d terms:

(c + d) + (c - d) = 17 + 3

2c = 20

c = 10

Now we can substitute this value of c into either equation to solve for d:

c - d = 3

10 - d = 3

d = 7

Therefore, the solution to the system is:

c = 10, d = 7.

Answer:

c=10 and d=7

Step-by-step explanation:

Use linear combination to solve the following system of equations.

Linear combination is synonymous with the method of elimination. The goal of elimination is to "eliminate" one of the variables so that we may solve for the other.

[tex]\left\{\begin{array}{ccc}c+d=17\\c-d=3\end{array}\right[/tex]

Notice how the "d" term has opposite signs in the system. We can add these two equations together to "eliminate" d.

[tex](c+d=17)+(c-d=3)=\boxed{2c=20}\\\\\therefore \boxed{\boxed{c=10}}[/tex]

We now know what "c" equals, plug this value into either of the equations and solve for "d."

[tex]c=10\\\\\Longrightarrow 10+d=17\\\\\therefore \boxed{\boxed{d=7}}[/tex]

Thus, the system is solved. c=10 and d=7.

The volume of the trapezoidal prism would be = 22.05 ft³

To calculate the volume of the prism, the formula that should be used is given below. That is

Volume of trapezoid prism = area of base × height.

The area of base = 6.3ft²

The height = 3.5ft

Therefore the volume = 6.3×3.5

= 22.05 ft³

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In college basketball, a "1 and 1" refers to a situation where a player is awarded one free throw and if they make that shot, they are awarded a second free throw.

We can find the PMF (probability mass function) of the number of points scored in a "1 and 1" situation given that any free throw goes in with probability p, independent of any other free throw.

Let Y denote the number of points scored in a "1 and 1" situation. There are three possible outcomes for Y: the player makes both free throws and scores 2 points, the player makes the first free throw but misses the second and scores 1 point, or the player misses the first free throw and scores 0 points.

The probability of making both free throws is p * p = p^2, since the two free throws are independent. The probability of making the first free throw but missing the second is p * (1 - p), and the probability of missing the first free throw is (1 - p). Thus, the PMF of Y is:

P(Y = 2) = p^2
P(Y = 1) = 2p(1-p)
P(Y = 0) = (1-p)^2

We can see that the PMF of Y follows a binomial distribution with n = 2 and p = the probability of making a free throw.

This distribution tells us the probability of obtaining a certain number of successes in a fixed number of independent trials, which is the same as the probability of scoring a certain number of points in a "1 and 1" situation.

This PMF can be useful for coaches and players to understand the probabilities of scoring in different scenarios and to make strategic decisions during games.

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The domain of G is -6 ≤ x ≤ 6. Therefore the correct answer is option C.

Look at the graph to identify the largest interval of x-values for which a graph exists above, below, or on the x-axis. This will find the domain of the function. In other words, the collection of all x-coordinates for each point on the graph represents the domain. Either write the domain as an inequality involving x (or whatever the independent variable is) or express it using interval notation.

In the graph, we can see that when x = 6, the graph's value, f(x) = 3. This is the highest value of x, and we can also see that the lowest value of x in the graph, where f(x) = -6. Thus, its range will be from -6 to 6.

Since, the domain of the function is : -6 ≤ x ≤ 6, therefore option C is correct.

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Answer:

112 square units

Step-by-step explanation:

the semicircle removed is added on the the other end. so it is the same area as if the semicircle was not removed, ie a rectangle.

area = 8 X 14 = 112 square units

The given function is 5x^4-24x^3+24x^2+17. In order to determine where the function is concave down, we need to find its second derivative. The second derivative of the function is 60x^2-144x+48. To determine where the function is concave down, we need to find the values of x for which the second derivative is negative. Using the quadratic formula, we find that the roots of the second derivative are x=1 and x=4/5. Thus, the function is concave down for x values between 1 and 4/5.

To find whether a function is concave up or down, we need to look at its second derivative. If the second derivative is positive, the function is concave up. If the second derivative is negative, the function is concave down. In this case, we have found that the second derivative is 60x^2-144x+48. To find where the function is concave down, we need to find the values of x for which this second derivative is negative. We can do this by finding the roots of the quadratic equation 60x^2-144x+48=0. Using the quadratic formula, we find that the roots are x=1 and x=4/5. Thus, the function is concave down for x values between 1 and 4/5.

The function 5x^4-24x^3+24x^2+17 is concave down for x values between 1 and 4/5. This means that the function is curving downwards in this interval. It is important to note that this is just one piece of information about the behavior of the function, and we would need to analyze other aspects of the function, such as its critical points and end behavior, to get a complete understanding of its behavior.

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The range of this function can be represented using the interval [-1,1]. However, if we have a function h(x) = x^3, we know that the output values can take on any real number, so the range of this function can be represented using the interval (-∞, ∞).

Interval notation is a shorthand way of representing a range of numbers using brackets and parentheses. For example, the interval [0,1] represents all real numbers between 0 and 1, including 0 and 1 themselves. The interval (0,1) represents all real numbers between 0 and 1, excluding 0 and 1 themselves.

To represent the domain of a function using interval notation, we consider the set of all input values for which the function is defined. For example, if we have a function f(x) = x^2, we know that this function is defined for all real numbers. Therefore, the domain of this function can be represented using the interval (-∞, ∞).

To represent the range of a function using interval notation, we consider the set of all output values that the function can take. This can be a bit trickier, as some functions may take on a continuous range of values, while others may only take on a finite set of values. For example, if we have a function g(x) = sin(x), we know that the output values will always be between -1 and 1. Therefore, the range of this function can be represented using the interval [-1,1]. However, if we have a function h(x) = x^3, we know that the output values can take on any real number, so the range of this function can be represented using the interval (-∞,∞).

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Complete Question:

Fill in the blanks. (Enter the range in interval notation.) Function Alternative Notation Domain Range y = y = cos-1 x -1 < x< 1