Find the absolute maximum and absolute minimum values of f(x) = log2 (2x² + 2), = -1 < x < 1.

Answer:

h(t)=-3.2cos[(2pi/12.4)(t-2)]+8.6

Step-by-step explanation:

The depth of the water can be modeled using a cosine function of the form h(t) = A*cos(B(t-C))+D, where h(t) represents the depth of the water at time t, A is the amplitude, B determines the period, C is the horizontal shift, and D is the vertical shift.

First, we can find the amplitude A by taking half the difference between the maximum and minimum values. In this case, the maximum value is 11.8 feet and the minimum value is 5.4 feet, so A = (11.8 - 5.4)/2 = 3.2.

Next, we can find the vertical shift D by taking the average of the maximum and minimum values. In this case, D = (11.8 + 5.4)/2 = 8.6.

The period of a cosine function is given by 2π/B, where B is the coefficient of t in the argument of the cosine function. In this case, we know that high tide and low tide occur every 12.4 hours apart, so the period is 12.4 hours. Therefore, we can find B by solving for it in the equation 12.4 = 2π/B, which gives us B = 2π/12.4.

Finally, we need to find the horizontal shift C. We know that at low tide (2am), the depth of water is at its minimum value (5.4 feet). Since low tide occurs 2 hours after midnight (t=0), we can find C by solving for it in the equation h(2) = 5.4. Substituting in all known values and solving for C gives us:

So, putting it all together, we get that an equation describing the depth of water at this location t hours after midnight is:

h(t)=-3.2*cos[(2π/12.4)(t-2)]+8.6

Using similar side theorem, the value of x is approximately 70.8 units

The Similar Side Theorem, also known as the Angle Bisector Theorem, states that if a ray bisects an angle of a triangle, then it divides the opposite side into two segments that are proportional to the other two sides of the triangle.

More formally, let ABC be a triangle with angle bisector AD, where D lies on the side BC. Then, the following proportion holds:

BD/DC = AB/AC

where BD and DC are the two segments into which AD divides the side BC, and AB and AC are the other two sides of the triangle.

In this problem, we can simply set ratio and find the value of x

46 / 13 = x / 20

cross multiply both sides and solve for x

x = (46 * 20) / 13

x = 70.769

x ≈ 70.8

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The size of the squares cut so that the volume of the open box is maximum is 5/6 cm.

To find the size of the squares to be cut so that the volume of the open box is maximum, we need to use optimization techniques. Let x be the length of each side of the small square to be cut from the corners of the paper. The dimensions of the base of the box are (10-2x) by (10-2x), and the height of the box is x.

The volume V of the box is given by:

V = x(10-2x)(10-2x)

Simplifying this expression, we get:

V = 4x³ - 60x² + 100x

To find the value of x that maximizes V, we take the derivative of V with respect to x and set it equal to zero:

dV/dx = 12x² - 120x + 100 = 0

Solving for x, we get:

x = 5/6 cm

Since x represents the side length of the small square to be cut from each corner, the size of the squares to be cut should be 5/6 cm on each side in order to maximize the volume of the open box.

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The number of ounces above which 86% of the dispensed sodas will fall is 7.8 ounces. This can be answered by the concept of Standard deviation.

To find the number of ounces above which 86% of the dispensed sodas will fall, we need to find the z-score corresponding to the 86th percentile.

Using a standard normal distribution table or calculator, we can find that the z-score corresponding to the 86th percentile is approximately 1.08.

We can then use the formula:

z = (x - μ) / σ

where z is the z-score, x is the value we want to find, μ is the mean, and σ is the standard deviation.

Plugging in the values we know:

1.08 = (x - 12.4) / 4.3

Solving for x, we get:

x = 7.8

Therefore, the number of ounces above which 86% of the dispensed sodas will fall is 7.8 ounces.

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If G(x) is an intermediate for f(x) and G(2)=-7, then G(4) is −7+f′(4) (option b)

In our problem, we do not know the exact expression for f(x), but we do know that G(x) is an intermediate for f(x). This means that there exist two values a and b such that:

G(a) = f(a)

G(b) = f(b)

Here we know that the function, also know that G(2) = -7, which means that a = 2 and G(a) = G(2) = -7. Now, we need to find the value of b. We can use the fact that G(x) is an intermediate for f(x) to write:

[f(4) - f(2)] / (4 - 2) = f'(c)

where c is some point between 2 and 4. Since G(x) is an intermediate for f(x), we also know that:

G(4) = f(c)

Substituting the value of G(2) = -7 in the above equation, we get:

[f(4) - f(2)] / 2 = f'(c)

Multiplying both sides by 2, we get:

f(4) - f(2) = 2f'(c)

Adding f(2) to both sides, we get:

f(4) = f(2) + 2f'(c)

Now, we can substitute the values of G(2) = -7 and G(4) = f(c) in the above equation to get:

G(4) = -7 + 2f'(c)

This means that the answer is option (B) -7+f′(4).

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Based on the given information, the statement that cannot be true for a distribution of scores is (28.) 60% of the scores are above the mean.


In a distribution, the mean is the average of all scores. It is not possible for 60% of the scores to be above the mean, as this would indicate that the mean is not accurately representing the central tendency of the scores. In a normal distribution, roughly 50% of the scores are above the mean, and 50% are below it.

On the other hand, it is possible for 60% of the scores to be above the median, as the median is the middle score in a distribution when the scores are ordered. It can also be possible for 60% of the scores to be above the mode, as the mode is the score that occurs most frequently in the distribution.

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We can use the Maclaurin series for $\sin x$ and the properties of power series to find the Maclaurin series for $f(x) = \sin(x-4)$.

First, we use the identity $\sin(x-4) = \sin x \cos 4 - \cos x \sin 4$ to rewrite $f(x)$ as a linear combination of $\sin x$ and $\cos x$. Then, we use the Maclaurin series for $\sin x$ and $\cos x$:

\begin{align*}

f(x) &= \sin(x-4) \

&= \sin x \cos 4 - \cos x \sin 4 \

&= (\sin x)(1 - \frac{(4)^2}{2!} + \frac{(4)^4}{4!} - \frac{(4)^6}{6!} + \cdots) - (\cos x)(4 - \frac{(4)^3}{3!} + \frac{(4)^5}{5!} - \frac{(4)^7}{7!} + \cdots) \

&= \sin x - \frac{4}{1!}\cos x + \frac{4^2}{2!}\sin x - \frac{4^3}{3!}\cos x + \cdots \

&= \sum_{n=0}^\infty (-1)^n \frac{(x-4)^{2n+1}}{(2n+1)!} - 4\sum_{n=0}^\infty (-1)^n \frac{(x-4)^{2n}}{(2n)!}

\end{align*}

This is the Maclaurin series for $f(x)$. Its radius of convergence is infinite because the Maclaurin series for $\sin x$ and $\cos x$ have infinite radius of convergence, and power series can be added and subtracted within their radius of convergence.

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(a) It will take 100 years to exhaust the entire reserve.

(b)  The company's profit is 7000 million dollars.

(a) To find out how long it takes to exhaust the entire reserve, we need to find the value of t when q(t) = 0. We know that q(t) = a + bt, so setting q(t) = 0 gives:

0 = a + bt

Solving for t, we get:

t = -a/b = -(-10)/0.1 = 100

Therefore, it takes 100 years to exhaust the entire reserve.

(b) The profit the company makes is the revenue from selling the oil minus the cost of extracting the oil. The revenue is the number of barrels extracted multiplied by the price per barrel, which is 35 dollars per barrel. The cost of extracting the oil is the number of barrels extracted multiplied by the cost per barrel, which is 14 dollars per barrel. So, the profit is:

Profit = (Revenue) - (Cost)

= (Number of barrels extracted) x (Price per barrel) - (Number of barrels extracted) x (Cost per barrel)

= (q(t) x t) x 35 - (q(t) x t) x 14

= (a + bt) x t x 35 - (a + bt) x t x 14

= (10 + 0.1t) x t x 35 - (10 + 0.1t) x t x 14

=[tex]0.3t^2 x 35 - 0.2t^2 x 14[/tex]

= [tex]3.5t^2 - 2.8t^2[/tex]

= [tex]0.7t^2[/tex]

Plugging in t = 100, we get:

Profit = [tex]0.7 x 100^2[/tex]

= 7,000

Therefore, the company's profit is 7,000 million dollar

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[tex]n^{m}[/tex] - [tex](n-1)^{m}[/tex] * m + [tex](n-2)^{m}[/tex] * (m choose 2) - [tex](n-1)^{m}[/tex] * (m choose 3) + ... + [tex](-1)^{(n-1)}[/tex] * [tex]1^{m}[/tex] * (m choose n-1)

This formula gives the total number of ways to assign m jobs to n employees so that each employee is assigned at least one job.

What is combinatorics?

Combinatorics is a branch of mathematics that deals with counting and arranging the possible outcomes of different arrangements and selections of objects. It is concerned with the study of discrete structures, such as graphs, hypergraphs, and matroids, and their properties.

This problem is a classic example of applying the principle of inclusion-exclusion.

Let's start by assuming that we can assign any number of jobs to each employee, without the constraint that each employee must receive at least one job. In this case, the number of ways to assign m jobs to n employees would be n^m, since each job has n choices of employee to assign it to.

However, we need to subtract the number of cases where at least one employee is left without a job. This can happen in m different ways, since we can choose any of the m jobs to be unassigned. For each of these cases, there are [tex](n-1)^{m}[/tex] ways to assign the remaining jobs to the n-1 remaining employees.

However, we have now "overcorrected" for cases where more than one employee is left without a job, since we have subtracted those cases twice (once for each pair of employees that are left out). To correct for this, we need to add back in the number of cases where at least two employees are left without a job. This can happen in (m choose 2) ways, since we can choose any pair of jobs to be unassigned. For each of these cases, there are [tex](n-1)^{m}[/tex] ways to assign the remaining jobs to the remaining n-2 employees.

We continue this process of alternating subtraction and addition for all possible numbers of employees left without a job, up to n-1. The final answer is:

[tex]n^{m}[/tex] - [tex](n-1)^{m}[/tex] * m + [tex](n-2)^{m}[/tex] * (m choose 2) - [tex](n-1)^{m}[/tex] * (m choose 3) + ... + [tex](-1)^{(n-1)}[/tex] * [tex]1^{m}[/tex] * (m choose n-1)

This formula gives the total number of ways to assign m jobs to n employees so that each employee is assigned at least one job.

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(A)Therefore, the local maximum for the revenue function is at x = 1/ln(15).

(B) The local maximum for the revenue function R(x) = xp. p=15e⁻ˣ 0 < x < 5 is at x = 1/ln(15), and the graph of the revenue function is concave downward for all x > 0.

(A) To find the local extrema for the revenue function R(x) = xp. p=15e⁻ˣ 0 < x < 5, we need to take the derivative of R(x) and set it equal to zero.

R'(x) = p - xp ln(15)

Setting R'(x) = 0 and solving for x, we get:

x = 1/ln(15)

To determine whether this critical point is a maximum or minimum, we need to check the sign of the second derivative:

R''(x) = -xp(ln(15))²

Since x > 0 and ln(15) > 0, we know that R''(x) < 0, which means that the critical point x = 1/ln(15) is a local maximum.

(B) To determine the intervals in which the graph of the revenue function is concave upward or downward, we need to find the sign of the second derivative.

R''(x) = -xp(ln(15))²

Since ln(15) > 0, we know that R''(x) is negative for all x > 0. Therefore, the revenue function is concave downward for all x > 0.

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The statements that are true or false are:

(a) True

(b) False

(c) False

(d) True

(e) True

(f) False

We have,

(a) All polynomial functions are continuous.

This statement is true.

A polynomial function is a function of the form f(x) = a_n x^n + a_{n-1} x^{n-1} + ... + a_1 x + a_0, where a_n, a_{n-1}, ..., a_0 are constants and n is a non-negative integer. Polynomial functions are continuous everywhere, which means that their graphs can be drawn without lifting the pencil from the paper. This is because each term in a polynomial function is continuous, and the sum of continuous functions is also continuous.

(b) if f(x)=7x-5, then f'(2)=9.

This statement is false.

The derivative of f(x) = 7x - 5 is f'(x) = 7, which means that the slope of the tangent line to the graph of f(x) is constant and equal to 7 for all values of x. Therefore, f'(2) = 7, not 9.

(c) the derivative with respect to x of f(x)/g(x) is f'(x)/g'(x).

This statement is false.

The derivative of f(x)/g(x) can be found using the quotient rule, which states that (f(x)/g(x))' = [g(x)f'(x) - f(x)g'(x)]/[g(x)]^2. Therefore, the correct expression for the derivative of f(x)/g(x) is not f'(x)/g'(x), but rather [g(x)f'(x) - f(x)g'(x)]/[g(x)]^2.

(d) if f(x) is differentiable at x = 2, then f(x) is continuous at x = 2.

This statement is true.

Differentiability implies continuity, which means that if a function is differentiable at a point, then it must also be continuous at that point. Therefore, if f(x) is differentiable at x = 2, then it must also be continuous at x = 2.

(e) The derivative with respect to x of 1* is 0.

This statement is true.

The function f(x) = 1 is a constant function, which means that its derivative is 0. Therefore, the derivative with respect to x of 1* is 0.

(f) All continuous functions are differentiable.

This statement is false.

There exist continuous functions that are not differentiable, such as the absolute value function f(x) = |x|. The derivative of f(x) does not exist at x = 0, even though f(x) is continuous at x = 0. Therefore, not all continuous functions are differentiable.

Thus,

(a) True

(b) False

(c) False

(d) True

(e) True

(f) False

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Let's first define the events as follows:

Y = "the puppy is from a mixed mother"

P = "the puppy has health complications"

We want to find the conditional probability P(Y | P), which is the probability that the puppy is from a mixed mother, given that it has health complications. This can be calculated using Bayes' theorem:

P(Y | P) = P(P | Y) * P(Y) / P(P)

where P(P | Y) is the probability that the puppy has health complications, given that it is from a mixed mother, P(Y) is the prior probability that the puppy is from a mixed mother, and P(P) is the marginal probability that the puppy has health complications.

We can find the values of these probabilities from the table:

P(P) = (41 + 47) / 267 = 0.315

P(Y) = 136 / 267 = 0.509

P(P | Y) = 47 / 136 = 0.346

Substituting these values into Bayes' theorem, we get:

P(Y | P) = 0.346 * 0.509 / 0.315 = 0.558

Therefore, the probability that the puppy is from a mixed mother, given that it has health complications, is 0.558, or about 56%.

To determine whether events Y and P are independent, we would need to check whether the occurrence of one event affects the probability of the other event. If they are independent, then the probability of one event occurring should be the same regardless of whether the other event occurs or not.

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The expected value of this coin game is -$0.375.

1. Determine the probability of each outcome:

Flipping 3 heads: Since the coin has 2 sides, the probability of flipping heads is 1/2.

To get 3 heads in a row, you'd multiply the probability of each flip: (1/2) * (1/2) * (1/2) = 1/8.

2. Calculate the value of each outcome:

Flipping 3 heads: If you win by flipping 3 heads, you receive $5.

3. Multiply the probability of each outcome by its value:

Flipping 3 heads: (1/8) * $5 = $0.625.

4. Calculate the expected value of the game:

Expected value: $0.625 (winning) - $1 (cost to play) = -$0.375.

The expected value of this coin game is -$0.375, meaning you can expect to lose $0.375 on average per game played.

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Answer:The continuous compounding of interest in a bank leads to the formula A(t) = A0 * e^(rt) for the total amount in the account at time t, where r is the interest rate, A0 is the principal amount, and e is the base of the natural logarithm (approximately 2.71828).

Step-by-step explanation:

1. A0 represents the initial principal amount, which is the starting balance of the account.
2. r is the interest rate, expressed as a decimal (e.g., 0.05 for 5% interest rate).
3. t is the time, typically measured in years.
4. e is the base of the natural logarithm (approximately 2.71828).
5. The exponent rt represents the product of the interest rate (r) and the time (t).
6. A(t) represents the total amount in the account at time t, including both the principal and the interest earned.

By continuously compounding interest, the account balance grows at an exponential rate, and the formula A(t) = A0 * e^(rt) is used to calculate the account balance at any given time t.

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The total amount of money spend on new equipment after using 25% of the total donations and car wash proceeds is $93.75.

On Saturday,

The team raised 21w + 75 dollars,

And on Sunday

Team raised 18w + 105 dollars.

Percent of donations and car wash proceeds for new equipment used

= 25%

The total amount raised over the weekend,

Total amount raised

= (21w + 75) + (18w + 105)

= 39w + 180

Amount for new equipment

= 25% ( 39w+ 180)

= 0.25(39w + 180)

= 9.75w + 45

If the team charged $5 per car wash that is w = 5

Substitute this value into the equation ,

Amount for new equipment

= 9.75w + 45

= 9.75(5) + 45

=48.75 + 45

= $93.75

Therefore, the amount of money spend on new equipment is equal to $93.75.

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The above question is incomplete , the complete question is:

The volleyball team is accepting donations and having a car wash to raise funds for an out-of-state tournament and purchase new equipment.

The team plans to use 25% of all donations and car wash proceeds for new equipment. The table shows the results from over the weekend where w represents the amount charged per car wash. If the team charged $5 per car wash, how much money will they have to spend on new equipment?

Day                 Donations and car wash proceeds

Saturday            21w + 75

Sunday               18w + 105

The perimeter of EFG is 38 units.

The perimeter of the figure is the sum of the whole sides . Therefore,

EP = FP

GQ = FQ

Therefore,

2x = 4y + 2

3x - 1 = 4y + 4

Hence,

2x - 4y = 2

3x - 4y = 5

subtract the equations

x = 3

Therefore,

2(3) - 4y = 2

6 - 4y = 2

-4y = 2 - 6

-4y = -4

divide both sides by -4

y = 1

Hence,

FP = 2(3) = 6 units

FQ = 3(3) - 1 = 8 units

EG = 2(3 + 2(1)) = 2(5)  = 10

Therefore,

perimeter of EFG = 2(6) + 2(8) + 10

perimeter of EFG = 12 + 16 + 10

perimeter of EFG = 28 + 10

perimeter of EFG = 38 units

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Answer: the measure of the fourth angle is 80 degrees.

Step-by-step explanation: Let x be the fourth angle's measure in degrees.

x + (angle 1) + (angle 2) + (angle 3) = 360. We can substitute 280 for the sum of the other three angles:

x + 280 = 360. Subtraction of 280 results in

x = 80.

Answer:

A-60

B-30

Step-by-step explanation:

A-To find the area of a trapezoid we have to do

[tex]\frac{a+b}{2}[/tex] x h

so we have

[tex]\frac{8+12}{2}[/tex] x 6

=60

B- For this we do the same technique . since there is a missing length we do 5+5=10

then 10x3

=30

The probability that a randomly purchased item will last longer than 14 years is approximately 47.26%.

Based on the information provided, the items have a normally distributed lifespan with a mean (µ) of 13.9 years and a standard deviation (σ) of 1.4 years. To find the probability that a randomly purchased item will last longer than 14 years, we need to calculate the z-score:
z = (X - µ) / σ
z = (14 - 13.9) / 1.4
z ≈ 0.0714
Now, we can use a z-table or a calculator with a normal distribution function to find the area to the right of the z-score,which represents the probability of the item lasting longer than 14 years.
P(X > 14) ≈ 1 - P(X ≤ 14) = 1 - 0.5274 ≈ 0.4726

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The standard error for the sample proportion of soccer players whose favorite position is goalkeeper is 0.080.

The standard error (SE) of the sample proportion is calculated using the formula:

SE = √((p * (1 - p)) / n)

where p is the sample proportion and n is the sample size.

In this case, the sample size is n = 47, and the sample proportion of soccer players whose favorite position is goalkeeper is p = 32/47 = 0.6809 (rounded to four decimal places).

Substituting these values into the formula, we get:

SE = √((0.6809 × (1 - 0.6809)) / 47)

SE = √(0.2179 / 47)

SE ≈ 0.082

Rounding to three decimal places, the standard error for the sample proportion is approximately 0.082.

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Answer:

3/4

Step-by-step explanation:

No, because for each input there is not exactly one output

To determine if it is appropriate to use the normal approximation, we first need to check if np ≥ 10 and n(1-p) ≥ 10.
If np ≥ 10 and n(1-p) ≥ 10 both are true then we can use the normal approximation.

n = 12
p = 0.65
1 - p = 0.35

np = 12 * 0.65 = 7.8
n(1-p) = 12 * 0.35 = 4.2

Since neither of these values is greater than or equal to 10, it is not appropriate to use the normal approximation. Therefore, the answer is:

P(0.60 < p_hat < 0.70) = 0

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Answer:

she has enough money

Step-by-step explanation:

($4.79/plant) x (8 plants) = $38.32

$38.32 < $50.00

Therefore, she has enough money.

50.00 - 38.32 = 11.68

If she buys 8 plants, she'll still have $11.68 left

b. No. More than two outcomes are possible.
A probability model based on Bernoulli trials requires only two possible outcomes for each trial (success or failure). In this case, there are four possible outcomes (O, A, B, or AB) for each person's blood type, so a Bernoulli model would not be appropriate for this situation

A probability model based on Bernoulli trials can only be used when there are two possible outcomes (success or failure) for each trial. In the given situation, there are four possible outcomes (O, A, B, or AB) for each individual's blood type. Therefore, a probability model based on Bernoulli trials cannot be used to investigate this situation.
A probability model based on Bernoulli trials requires only two possible outcomes for each trial (success or failure). In this case, there are four possible outcomes (O, A, B, or AB) for each person's blood type, so a Bernoulli model would not be appropriate for this situation.

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A. ) It takes 54 seconds for the original circle of water to become the larger circle of water.

New Area - Original Area = 24.62m² - 13.85m² = 10.77m²

Area increases at 0.2m²/s, so:

Time = (Change in Area) / (Rate of Area increase) = 10.77m² / 0.2m²/s = 53.85s

Rounded to the nearest second: 54 seconds.

Thus, A. ) It takes 54 seconds for the original circle of water to become the larger circle of water.

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The estimated probability of having at least 5200 ones in the data packet is close to 1 or is approximately equal to Q(1).

To estimate the probability of having at least 5200 ones in a data packet consisting of 10,000 bits with an equal probability of 0 or 1, we can use the Q-function.

The Q-function is defined as the probability that a standard normal random variable is greater than a given value. In other words, it tells us the probability that a random variable falls in the tail of the normal distribution.

Step 1:

To apply the Q-function to this problem, we can use the fact that the number of ones in the data packet follows a binomial distribution with n=10,000 and p=0.5. The Q-function can then be used to find the probability of having at least 5200 ones:
Calculate the mean (µ) and standard deviation (σ) of the binomial distribution.
In this case, since each bit has an equal probability of being 0 or 1, the mean (µ) is n * p, where n = 10,000 and p = 0.5. So, µ = 10,000 * 0.5 = 5000.
P(X ≥ 5200) = 1 - P(X < 5200)
P(X < 5200) = Σi=0^5199 (n choose i) * p^i * (1-p)^(n-i)
P(X < 5200) = Q((5200 - np)/√(np(1-p)))
P(X ≥ 5200) = 1 - Q((5200 - np)/√(np(1-p)))

Step 2: Standardize the number of ones (5200) to a z-score.
Using the binomial distribution formula, we can calculate P(X < 5200) to be approximately 0.0515. Substituting this value into the Q-function formula, we get:
P(X ≥ 5200) = 1 - Q((5200 - 10000*0.5)/√(10000*0.5*0.5))
P(X ≥ 5200) = 1 - Q(-28.28)
P(X ≥ 5200) ≈ 1

Step 3: Estimate the probability using the Q-function.
The probability of having at least 5200 ones is equal to the probability of having a z-score greater than or equal to 1. This probability can be estimated using the Q-function, denoted by Q(z).

Therefore, the estimated probability of having at least 5200 ones in the data packet is close to 1 or is approximately equal to Q(1).

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Answer:

-3

Step-by-step explanation:

36/-12 = -3

The value of Ay is -3992.999936 and the value of dy is -2.5600

The approximate change in y as x increases by 0.01 is approximately -2.5600.

To find Ay, we can simply plug in x = -4 and Δx = 0.01 into the formula for the function and compute the difference between the resulting values of y. That is:

Ay = y(x + Δx) - y(x) = (x + Δx)⁴ + 8 - x⁴ - 8

Since x = -4 and Δx = 0.01, we have:

Ay = (-4 + 0.01)⁴ + 8 - (-4)⁴ - 8

Ay = 0.000064 + 16 - 4008 - 8

Ay = -3992.999936

So the exact change in y as x increases by 0.01 is approximately -3993.0000 (rounded to four decimal places).

To find dy, we can use the derivative of the function, which gives us the rate of change of y with respect to x at any given point. That is:

dy/dx = 4x³

At x = -4, we have:

dy/dx = 4(-4)³

dy/dx = -256

This means that for every unit increase in x around x = -4, y decreases by approximately 256 units. To estimate the change in y as x increases by Δx = 0.01, we can multiply the derivative by Δx and round to four decimal places

dy = dy/dx * Δx = -256 * 0.01

dy = -2.5600

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Answer:

65

Step-by-step explanation:

triangle on right:

180-62-50= 68

left triangle:

180-80-53=47

middle triangle: using both answers above

180-68-47= 65

since X is the vertical angle of 65, X would also equal 65 degrees