Find the m<1 please

choices are...
23
67
180
113

The possible coordinates of point A are (-2, -2) and (-2, 4).

Distance is a numerical measurement of the amount of space between two points. It is the length of a path that connects two points in a space, usually measured in units such as meters, kilometers, miles, etc.

In Euclidean space (a type of space

We can use the distance formula to find the possible coordinates of point A. The distance formula between two points (x1, y1) and (x2, y2) is:

d = √((x2 - x1)² + (y2 - y1)²)

Let the coordinates of point A be (x, y), where x = -2 (the x-coordinate of point A is -2, as given in the problem).

Then, we can write the distance formula as:

5 = √((2 - (-2))²+ (1 - y)²)

Simplifying this equation, we get:

25 = (2 - (-2))²+ (1 - y)²

25 = 16 + (1 - y)²

9 = (1 - y)²

Taking the square root of both sides, we get:

3 = 1 - y or 3 = -(1 - y)

Solving for y in each case, we get:

y = -2 or y = 4

Therefore, the possible coordinates of point A are (-2, -2) and (-2, 4).

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y = 6 sin [(π/10)t] + 8; equation gives us the depth of the water at the dock as a function of time elapsed since the wave started passing the dock.

A sinusoidal function is a mathematical function that oscillates or fluctuates in a periodic manner, following a sine or cosine curve.

If the wave approaches a dock in Carmel where the normal depth is 8 meters and varies sinusoidal with time, then we can use the equation for a sinusoidal function:

y = A sin (ωt + φ) + C

where: A is the amplitude of the wave, which is given as 12 meters

ω is the angular frequency, which can be calculated as 2π / T, where T is the period of the wave (20 minutes in this case)

t is the time elapsed since the wave started passing the dock

φ is the phase angle, which we can assume to be 0 since we are not given any information about it

C is the vertical displacement of the wave from the normal depth, which is 8 meters in this case

putting the given values into the equation,

y = 12 sin [(2π/20)t] + 8

Simplifying this equation,

y = 6 sin [(π/10)t] + 8

This equation gives us the depth of the water at the dock as a function of time elapsed since the wave started passing the dock.

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The method regarding to the sampling to pick the 200 sales representatives is to be make 20 groups of 10.

Sampling is the process of selecting a subset of individuals from a population to represent the whole. It is a technique used in research to gather data from a larger population. The goal of sampling is to reduce the cost, time, and effort required to collect data from a large population. Sampling allows researchers to get a better understanding of the population by being able to study a smaller, more representative group of individuals. Sampling also allows researchers to make more accurate generalizations about a population.

In this case, the best way for the sales directors to including  200 sales representatives, with equal Numbers from each region is simply to make 20 groups of 10.

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Complete questions as follows-
Suppose there are 1,000 total sales representatives in the Midwest and Northeast regions, with 500 sales reps in each
region. Describe the best way for the sales director to include 200 sales representatives, with an equal number from each
region and an equal number in each group, while yielding valid conclusions in the study.
Type your response in the box.

The value of the digit 5 in 24,513 is 1,000 times the value of the digit 5 in 357.

In the number 357, the digit 5 is in the ones area, which means that its value is just 5. We can write this number as 5 x 10^0, where 10 is the base of our number system, and the exponent 0 represents the ones area.

Now, to find out how many times the value of the digit 5 in 357 is compared to the value of the digit 5 in 24,513, we need to divide the value of the digit 5 in 24,513 by the value of the digit 5 in 357.

We have:

Value of 5 in 24,513 = 5 x 10³

Value of 5 in 357 = 5 x 10⁰

So,

Value of 5 in 24,513 ÷ Value of 5 in 357 = (5 x 10³) ÷ (5 x 10⁰)

We can simplify this expression by dividing 5 by 5, which gives us:

(5 x 10³) ÷ (5 x 10⁰) = 10³ = 1000

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The appropriate statement for the null hypothesis is "the depression status and caffeinated coffee consumptions are independent."

The statement that is not appropriate for the null hypothesis according to hypothesis testing is "the levels of depression status and caffeinated coffee consumptions are equally likely."

This statement implies that there is an equal chance of having different levels of depression status and different levels of caffeinated coffee consumption, which is not a suitable assumption for the null hypothesis.

The null hypothesis should state that there is no significant relationship between the two variables, and the distribution of one variable does not depend on the distribution of the other variable.

Therefore, the appropriate statement for the null hypothesis is "the depression status and caffeinated coffee consumptions are independent."

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Charles Darwin was a naturalist who proposed the concept of evolution via natural selection.

He discovered that versions exist inside species, and that those variations can be inherited via offspring. Darwin theorized that over the years, sure variations might be more positive for survival in a specific surroundings, and people developments could be more likely to be surpassed directly to the subsequent technology.

This method, which he called "natural selection," would lead to the evolution of latest species over long intervals of time. Darwin's concept of evolution thru herbal choice changed into a groundbreaking idea that challenged conventional ideals about the origins and diversity of lifestyles in the world, and it is still a important concept inside the fields of biology and ecology.

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Answer:

a

Step-by-step explanation:

to find the missing side x , subtract the sum of the 5 given sides from the given perimeter.

x = 137 - (39 + 37 + 12 + 10 + 13) = 137 - 111 = 26 m

Answer:

16/9

Step-by-step explanation:

(11/9) + (5/9) = 11/9 + 5/9 = 16/9

16/9 is already in simplest form, so the answer is 16/9

Answer: (11/9) + (5/9) = (11 + 5)/9 = 16/9

Step-by-step explanation:

We have to find a common denominator for the two fractions. Since both fractions have a denominator of 9, we can add the numerators directly.

Add the numerators of the two fractions: 11 + 5 = 16.

Write the sum over the common denominator: 16/9.

Simplify the fraction if possible. In this case, it is already in simplest form.

Therefore, (11/9) + (5/9) = 16/9.

so 0.5% rate

[tex]~~~~~~ \textit{Simple Interest Earned} \\\\ I = Prt\qquad \begin{cases} I=\textit{interest earned}\\ P=\textit{original amount deposited}\dotfill & \$17525\\ r=rate\to 0.5\%\to \frac{0.5}{100}\dotfill &0.005\\ t=years\dotfill &3 \end{cases} \\\\\\ I = (17525)(0.005)(3) \implies I \approx 262.88[/tex]

Answer:

y = 1/2x - 4

Step-by-step explanation:

The y-intercept is at -4 (counting by ones).

The slope would be 1/2, going up one time and to the right twice, plotting the point (2, -3).

Answer:

a)

jenny - $160 + $50X = total

hong - $90X = total

b)

$160 + $50X = $90X

Step-by-step explanation:

a)

b)

Answer:

We are given the following recursive formula:

an = -2an-1

We are also given that a1 = 5. Using the recursive formula, we can find the values of a2, a3, and a4 as follows:

a2 = -2a1 = -2(5) = -10

a3 = -2a2 = -2(-10) = 20

a4 = -2a3 = -2(20) = -40

Therefore, the value of a4 is -40.

We are 95% confident that the proportion of all central Florida reefers who use LED lighting falls between .648 and .752.

The correct practical interpretation is: "We are 95% confident that the proportion of all central Florida reefers who use led lighting falls between .648 and .752."

This means that if we were to take multiple random samples of 700 experienced central Florida reefers, 95% of the intervals created would contain the true population proportion of reefers who use LED lighting.

So, based on this sample, we can say with 95% confidence that the true proportion of all central Florida reefers who use LED lighting is somewhere between .648 and .752.

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We are 95% confident that the proportion of all central Florida reefers who use LED lighting falls between .648 and .752 from mean.

The correct practical interpretation is: "We are 95% confident that the proportion of all central Florida reefers who use LED lighting falls between .648 and .752." This means that based on the sample of 700 experienced reefers, we can estimate with 95% confidence that the true proportion of all reefers in central Florida who use LED lighting is likely to be between .648 and .752.

This confidence interval was constructed using sampling techniques, and in repeated sampling, 95% of the intervals created would contain the population mean.
We are 95% confident that the proportion of all central Florida reefers who use LED lighting falls between .648 and .752.

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The required sample size is  8.90400.

Given a student wants to make a guess within 0.03 of the true ratio with a 90% confidence level.

Margin of Error, E = 0.03

significance level α=0.10  {90% confidence}

A given estimate of the percentage of population p is p = 0.79.

The critical value for the significance level α = 0.10 is Zc = 1.645. This can be determined using either Excel or a normal probability table.

Use the following formula to calculate the minimum sample size required to estimate the percentage of population p within the required margin of error.

n≥p(1-p)(Zc÷E)²

n = 0.796×(1-0.796)(1.645÷0.03)²

n = 0.796 x 0.204 x 54.833

n = 8.90400

Therefore, the resample size required to meet the condition is n ≥  8.90400 and must be an integer. From this, we conclude that the minimum sample size required is n =  8.90400

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The graphical representation that would be the best for this data would be a circle graph. That is option C.

A circle graph, which is also called a pie chart, is defined as a type of data representation where by the information concerning a data set is displayed in a circular form and in a way that the various information displayed is a percentage of the total data set involved.

Now, the number of students that were surveyed = 100 students.

The number of subjects that are preferred by the students would be represented as x,y,z.

Therefore to represent the number of students that preferred a particular subject on the circle graph the following is carried out;

For subject x = Number of X/100 × 360/1

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The surface area of the two solids are listed below:

Case 1 - 232 square centimeters

Case 2 - 240 square centimeters

The surface area of a solid is the sum of the areas of all its faces. There are two cases of solids whose surface areas must be determined. The area formulas for triangle and rectangle are, respectively:

Triangle

A = 0.5 · b · h

Rectangle

A = b · h

Case 1

A = (6 cm) · (8 cm) + 2 · 0.5 · (6 cm) · (12 cm) + 2 · 0.5 · (8 cm) · (14 cm)

A = 232 cm²

Case 2

A = 2 · 0.5 · (8 cm) · (3 cm) + (8 cm) · (12 cm) + 2 · (5 cm) · (12 cm)

A = 24 cm² + 96 cm² + 120 cm²

A = 240 cm²

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The minimum score required for an A grade is approximately 87 when the standard deviation is 7.4 and the mean is 77.1

The standard deviation is a measure of the amount of variation or dispersion in a set of data. It measures how much the individual data points deviate or differ from the mean or average of the data set.

Mathematically, the standard deviation is the square root of the variance, which is calculated by taking the average of the squared differences of each data point from the mean. The formula for the standard deviation is:

σ = sqrt(Σ(x - μ)^2 / n)

where σ is the standard deviation, x is a data point, μ is the mean, and n is the number of data points.

First, we need to find the z-score corresponding to a score that is at the 92nd percentile (the top 8%). We can use the inverse normal distribution function (also known as the probit function) to do this:

invNorm(0.92) ≈ 1.41

This means that a score at the 92nd percentile corresponds to a z-score of approximately 1.41.

Next, we need to convert this z-score to a raw score on the test. We can do this using the formula:

z = (x - μ) / σ

where z is the z-score, x is the raw score, μ is the mean, and σ is the standard deviation.

Rearranging this formula to solve for x, we get:

x = z*σ + μ

Substituting the values we have, we get:

x = 1.41*7.4 + 77.1 ≈ 87.4

Therefore, the minimum score required for an A grade is approximately 87, rounded to the nearest whole number.

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According to the algebraic expressions, the sum of four smaller rectangles is 96.

First, let's consider the figure as one large rectangle. To find the area of a rectangle, we multiply its length by its width. In this case, the length of the rectangle is 8 and the width is 6 + 2 + 4 = 12. Therefore, the expression for the area of the rectangle can be written as:

Area = length x width

Area = 8 x 12

Area = 96

So the area of the figure as one large rectangle is 96 square units.

To find the area of each rectangle, we'll use the formula for the area of a rectangle, which is length x width. We can see from the figure that:

Rectangle A has a length of 8 and a width of 6

Rectangle B has a length of 8 and a width of 2

Rectangle C has a length of 4 and a width of 6

Rectangle D has a length of 4 and a width of 2

Therefore, the expressions for the area of each rectangle can be written as:

Area_A = length x width

Area_A = 8 x 6

Area_A = 48

Area_B = length x width

Area_B = 8 x 2

Area_B = 16

Area_C = length x width

Area_C = 4 x 6

Area_C = 24

Area_D = length x width

Area_D = 4 x 2

Area_D = 8

To find the total area of the figure, we simply add up the areas of the four rectangles. Therefore, the expression for the area of the figure as a sum of four smaller rectangles can be written as:

Area = Area_A + Area_B + Area_C + Area_D

Area = 48 + 16 + 24 + 8

Area = 96

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The availability of this repairable product is approximately 0.762, or 76.2%.

In order to find the availability of a repairable product, we need to consider its failure rate and mean time to repair. The formula for availability (A) is:

A = MTBF / (MTBF + MTTR)

Where MTBF is Mean Time Between Failures and MTTR is Mean Time To Repair.

Since we have a constant failure rate (λ), we can calculate the MTBF as the inverse of the failure rate:

MTBF = 1 / λ

In this case, the failure rate (λ) is 0.0078 failures per hour. Let's calculate the MTBF:

MTBF = 1 / 0.0078 = 128.205 hours

Now, we know the MTTR is 40 hours. We can use the availability formula to find the answer:

A = MTBF / (MTBF + MTTR)
A = 128.205 / (128.205 + 40)
A = 128.205 / 168.205
A ≈ 0.762

So, the availability of this repairable product is approximately 0.762, or 76.2%.

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In a particular vacation town, the average cost of a hotel room for a family of four is more than $170 at a=0.01.

The term "average cost" refers to the production cost per unit, which is determined by dividing the overall production cost by the overall number of units produced. In other words, it calculates the cost for each unit of output that the company must incur.

The null hypothesis states that a family of four can only pay a maximum of $170 for a hotel room in a certain vacation town. The alternative premise is that a particular resort town's average hotel room cost for a family of four is higher than $1701.

There are 33 participants in the sample, and the mean value is $179 with a $192 standard deviation.

This hypothesis test's test statistic is computed as follows:

t =√(sample size) / (sample standard deviation / hypothesized mean) / (sample mean - hypothesized mean)

t = (179 - 170) / (19 /√(33)) = 3.02

This test's p-value, which is less than the significance level of 0.012, is 0.0026.. We conclude that there is enough evidence to show that the average hotel room price for a family of four in a particular resort town is more than $1701 and reject the null hypothesis as a result.

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Testing is only one part of the overall assessment process.

What is evaluation in education?

Assessment is an ongoing process of gathering evidence of what each student actually knows, understands, and can do. A comprehensive evaluation approach includes a combination of formal and informal evaluation (formative, preliminary, and summative).

What is an assessment? Also what does it mean?

At the course level, assessments provide important data on the breadth and depth of student learning. Evaluation is more than scoring. It's about measuring student learning progress. Assessment is therefore defined as “the process of data gathering to better understand the strengths and weaknesses of a student's learning”. 

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a. The bagel needs to be dilated by a scale factor of 5 to serve 25 people.
b. 25 times more cream cheese will be required for the dilated bagel compared to the original bagel.

a. To find the scale factor for the large bagel that serves 25 people, we need to find the square root of the ratio of the number of people the large bagel serves to the number of people the small bagel serves.
Scale factor = [tex]\sqrt{(large_bagel_serving / small_bagel_serving)}[/tex]
Scale factor = [tex]\sqrt{(25 / 1)}[/tex]
Scale factor =[tex]\sqrt{ 25}[/tex]
Scale factor = 5
So, the bagel needs to be dilated by a scale factor of 5 to serve 25 people.
b. Since the bagels are in the same shape, the area of the large bagel will be the square of the scale factor times the area of the small bagel.

The cream cheese is spread over the area, so the ratio of the cream cheese needed for the large bagel to the small bagel will be the same as the ratio of their areas.
Ratio of cream cheese = [tex](scale factor)^2[/tex]
Ratio of cream cheese = [tex](5)^2[/tex]
Ratio of cream cheese = 25
So, 25 times more cream cheese will be required for the dilated bagel compared to the original bagel.

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The dilated bagel requires 25 times more cream cheese than the original single serving bagel. Round your answer to the nearest tenth: 25.0 times more cream cheese.

a) To determine the scale factor for the dilated bagel, first, we need to find the ratio between the area of the large bagel and the area of a single serving bagel. Since the large bagel serves 25 people, the area ratio will be 25:1.

Area ratio = (scale factor)^2
25:1 = (scale factor)^2

To find the scale factor, take the square root of the area ratio:
scale factor = √25 = √(25/1) = 5

Therefore, the bagel will need to be dilated by a scale factor of 5 to serve 25 people.

b) Since the thickness of the cream cheese remains the same on both bagels, we only need to consider the difference in area between the two bagels. As calculated before, the area ratio is 25:1.

Thus, the dilated bagel requires 25 times more cream cheese than the original single serving bagel. Round your answer to the nearest tenth: 25.0 times more cream cheese.

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Since angle AOB and angle COD are vertical angles, they are congruent. Since angle AOB is a central angle of the first circle, it intercepts arc AB.

what is congruent ?

Congruent is a term used in geometry to describe figures or objects that have the same shape and size. When two figures are congruent, they are identical in every way, including their angles, sides, and dimensions

In the given question,

Proof:

1) Since angle AOB and angle COD are vertical angles, they are congruent.

2) Since angle AOB is a central angle of the first circle, it intercepts arc AB.

3) Similarly, angle COD is a central angle of the second circle, and it intercepts arc CD.

4) Using the fact that central angles of a circle intercept arcs of the same measure, we have that arc AB and arc CD have the same measure, since they are intercepted by congruent central angles.

Therefore, arc AB = arc CD, as required.

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The 90% confidence interval for the probability of flipping a head with this coin is approximately b. [0.339, 0.501], which corresponds to option b). [0.339, 0.501].

Calculate the sample proportion (p-hat):

p-hat = number of heads / total flips = 42/100 = 0.42

Determine the confidence level, which is 90% in this case.

Find the corresponding z-score for the confidence level.

For a 90% confidence level, the z-score is approximately 1.645.

Calculate the standard error:

[tex]SE = \sqrt{(p-hat \times (1 - p-hat) / n)}  = \sqrt{ (0.42 \times 0.58 / 100)} = 0.0496[/tex]

Calculate the margin of error:

ME = z-score × SE = 1.645 × 0.0496 ≈ 0.0816

Determine the confidence interval:

CI = (p-hat - ME, p-hat + ME)

= (0.42 - 0.0816, 0.42 + 0.0816)

= (0.3384, 0.5016)

Therefore, option b.[0.339, 0.501] is correct.

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the probability that the sample mean would differ from the population mean by less than 2 gallons is approximately 0.9793, rounded to four decimal places.

The Central Limit Theorem,

The sample mean of a sufficiently large sample (n > 30) will be normally distributed with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of the sample size.

Here, we have a population with a mean of [tex]\mu = 103[/tex] gallons and a variance of[tex]\sigma^2 = 36 gallons^2.[/tex]

Therefore, the standard deviation of the population is [tex]\sigma = \sqrt(36) = 6[/tex]gallons.

The probability that the sample mean would differ from the population mean by less than 2 gallons.

In other words, we want to find the probability that the difference between the sample mean and the population mean is less than 2 gallons.

We can use the formula for the standard error of the mean to find the standard deviation of the sampling distribution of the sample mean:

[tex]SE = \sigma / sqrt(n)[/tex]

where n is the sample size. In this case, n = 38, so we have:

[tex]SE = 6 / \sqrt(38) = 0.979[/tex]

The difference between the sample mean and the population mean is given by:

[tex]\bar X - \mu[/tex]

The probability that this difference is less than 2 gallons. We can standardize this difference by dividing by the standard error of the mean:

[tex]Z = (\bar X - \mu) / SE[/tex]

A standard normal distribution table or calculator to find the probability that Z is less than [tex]2 / 0.979 = 2.04.[/tex]This probability is approximately 0.9793.

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The probability that the sample mean would differ from the population mean by less than 2 gallons is approximately 0.9544 or 95.44% (rounded to four decimal places).

To solve this problem, we can use the Central Limit Theorem which states that the sample mean of a large enough sample will be approximately normally distributed with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of the sample size.

Given that the mean of gas consumption per race is 103 gallons and the variance is 36, we can calculate the standard deviation as follows:

Standard deviation = [tex]\sqrt{36}[/tex] = 6 gallons

Now, we need to find the probability that the sample mean would differ from the population mean by less than 2 gallons. We can calculate the standard error of the mean as follows:

Standard error of the mean = standard deviation / sqrt(sample size) = 6 / [tex]\sqrt{38}[/tex]= 0.974

To find the probability, we can use the z-score formula:

z = (sample mean - population mean) / standard error of the mean

z = (sample mean - 103) / 0.974

Since we want to find the probability that the sample mean would differ from the population mean by less than 2 gallons, we need to find the probability that the z-score is between -2 and 2.

Using a standard normal distribution table or calculator, we can find that the probability of a z-score being between -2 and 2 is approximately 0.9544.

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The value of 5 pints is equal to 10 cups.

A liquid measurement with a capacity of 1/8 of a gallon.  If we recall, 8 ounces equals 1 cup and 2 cups (or 16 ounces) equals 1 pint. One pint is made up of 16 fluid ounces, which is also equivalent to 2 cups, 1/4 quart, and 1/8 gallon. Normally, there are 2 cups in 1 pint, however this might vary depending on the ingredients. A pint has two cups in it.

Two cups equal one pint. You must multiply the volume in pints by a factor of two to convert from pt to c.

Hence, 1 pt = 2c

Substitute the values;

Multiple both the sides by 5

5 * 1pt = 5* 2c

5pt = 10c

Therefore, The value of 5 pints is equal to 10 cups.

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the exponential function [tex]Y=640(0.23)^x[/tex]represents a decay of 77% per unit increase in x.

What is exponential?

The exponential is an example of a mathematical function that is useful in determining if something is increasing or decreasing exponentially is the exponential function. As implied by its name, an exponential function uses exponents. But take note that an exponential function does not have a variable as its exponent and a constant as its base (if a function has a variable as the base and a constant as the exponent then it is a power function but not an exponential function).

To determine the percentage rate of decrease, we can find the difference between the initial value (640) and the final value (when x = 1) and express it as a percentage of the initial value.

When x = 1, we have:

Y = 640(0.23)^1 = 147.2

The difference between the initial value (640) and the final value (147.2) is:

640 - 147.2 = 492.8

To express this as a percentage of the initial value, we can use the formula:

percentage change = (difference / initial value) * 100%

So, the percentage rate of decrease is:

percentage change = (492.8 / 640) * 100% = 77%

Therefore, the exponential function Y=640(0.23)^x represents a decay of 77% per unit increase in x.

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An inequality for this situation "A cruise ship can carry at most 3500 passengers." is x ≤ 3,500.

A graph of the inequality x ≤ 3,500 is shown in the image attached below.

What is an inequality?

In Mathematics and Geometry, an inequality simply refers to a mathematical relation that is typically used for comparing two (2) or more numerical data and variables in an algebraic equation based on any of the inequality symbols;

Note: At most simply refers to less than or equal to (≤) in Mathematics.

Since the cruise ship can only carry at most 3500 passengers, an inequality that models this situation is given by;

x ≤ 3,500

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A horizontal line that a function's graph appears to coincide with but does not actually do so is said to be its horizontal asymptote.

What is a function?

A relation between a collection of inputs and outputs is known as a function. A function is, to put it simply, a relationship between inputs in which each input is connected to precisely one output.

A horizontal line that a function's graph appears to coincide with but does not actually do so is said to be its horizontal asymptote. The end behaviour of the function is determined using the horizontal asymptote.

Hence, this is what is known as horizontal asymptote.

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