in designing an invertebrate biodiversity study of a stream, different areas within the study site need to be sampled. a major consideration is how many areas to sample, which will largely be determined by available resources (people, money, time). imagining two possible scenarios, one where only 5 areas within a stream site are sampled, and another where 50 are sampled, how would the taxa richness values of the two differ? if the number was increased to 500, how might it change? draw a simple graph (species/area curve), with total cumulative number of areas sampled on the x-axis and taxa richness on the y-axis, to illustrate the relationship between these variables.

Step-by-step explanation:

well, we need to see how often 12/3 minutes (for one page) fits into 221/2 minutes (for all pages) :

n = 221/2 / 12/3 = (221×3) / (12×2) = 221 / (4×2) = 221/8

the book had n = 221/8 pages = 27.625 ≈ 27 pages.

as parts of a page do not make sense, we only count full pages.

The time taken for him to run 5 kilometer is approximately 25 minutes

Speed is a measure of how fast an object is moving. It is defined as the distance traveled per unit of time

One mile is equivalent to 1.60934 kilometers. So, John's speed is 1/8 mile per minute or approximately 0.201168 kilometers per minute.

To find out how long it would take him to run 5 kilometers, we can use the formula

time = distance / speed

Substituting the values, we get

time = 5 km / 0.201168 km/min

time = 24.8531 min

Rounding this to the nearest minute, we get

time = 25 minutes

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By the central limit theorem, with a large random sample, the sample histogram will not closely resemble the normal curve but with a large random sample, the probability density function of the sample mean closely resembles the normal curve.

The central limit theorem for samples says that if we keep drawing larger and larger samples and calculating their means, the sample forms their own normal distribution (the sampling distribution). The normal distribution will have the same mean as the original distribution and a variance that equals the original variance divided by the sample size. The variable n is the number of values that are averaged together,and not the number of times the experiment is done.

Hence,with a large random sample, the sample histogram will not resemble the normal curve but with a large random sample, the probability density function of the sample mean will closely resemble the normal curve.

The complete question is-

true or false: (justify/explain your answer) state whether a or b is the true statement below and then explain why the other statement is false. a. with a large random sample, the sample histogram will closely resemble the normal curve. b. with a large random sample, the probability density function of the sample mean will close resemble the normal curve.

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The table that represents a linear function is table 2.

A linear function is a function whose graph is a straight line, and the equation of such function has the form y = mx + b, where m is the slope of the line and b is the y-intercept. To determine which table represents a linear function, we can calculate the slope between any two points in the table, and see if the slope is the same for all pairs of points.

Table 1:

The slope between (0,-4) and (1,0) is (0 - (-4)) / (1 - 0) = 4/1 = 4.

The slope between (-1,2) and (0,-4) is (-4 - 2) / (0 - (-1)) = -6/1 = -6.

The slope between (1,0) and (2,2) is (2 - 0) / (2 - 1) = 2/1 = 2.

The slopes are not the same for all pairs of points, so this table does not represent a linear function.

Table 3:

The slope between (-1, negative sixteen thirds) and (0,-5) is (-5 - (-16/3)) / (0 - (-1)) = -1/3.

The slope between (0,-5) and (2,-13/3) is (-13/3 - (-5)) / (2 - 0) = -8/3.

The slopes are not the same for all pairs of points, so this table does not represent a linear function.

Table 4:

The slope between (-1,negative two thirds) and (0,-1) is (-1 - (-2/3)) / (0 - (-1)) = -1/3.

The slope between (0,-1) and (2,2/3) is (2/3 - (-1)) / (2 - 0) = 5/6.

The slopes are not the same for all pairs of points, so this table does not represent a linear function.

Therefore, the correct option is table 2.

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Therefore, each internal angle would be 178 degrees in a regular polygon with 360 sides.

In mathematics, an angle is a figure made up of two rays that share a shared endpoint and are referred to as the sides of the angle and the vertex of the angle, respectively. Angles are typically measured in degrees, radians, or other angle measurement units. Angles can be categorized based on how wide they are. An acute angle is one that is less than 90 degrees, an obtuse angle is one that is higher than 90 degrees but less than 180 degrees, and a right angle is one that is 90 degrees. A reflex angle is greater than 180 degrees but less than 360 degrees, and a straight angle is precisely 180 degrees.

given

Since a polygon with that many sides would have sides that are extremely tiny in relation to the radius, if a regular polygon has 360 sides, it is a circle. Since every group of points in a regular polygon has an equal exterior angle and the sum of all exterior angles in a circle is 360 degrees, each exterior angle in a regular polygon would be measured as follows:

360 edges / 360 degrees = one degree.

Each interior angle of a regular polygon with n sides can be determined using the following formula:

Inner angle is equal to (n-2) x 180 / n.

When we enter n = 360 into this algorithm, we obtain:

(360-2) x 180 degrees / 360 = 178 degrees is the interior angle.

Therefore, each internal angle would be 178 degrees in a regular polygon with 360 sides.

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Using the point-slope form of a linear equation, the equation of the line passing through point Q(x,y) with slope m -1/2 is: y = -1/2x + (Qy + 1/2Qx).

what is perpendicular lines?

In geometry, two lines are said to be perpendicular if they intersect each other at a right angle (90 degrees). This means that the angles formed at the point of intersection are equal to 90 degrees.

A. To write an equation of the line that is parallel to line f (y=2) and passes through point Q, we know that parallel lines have the same slope. Therefore, the slope of the new line will also be 2. Using the point-slope form of a linear equation, the equation of the line passing through point Q(x,y) with slope m=2 is:

y - y1 = m(x - x1)

y - Qy = 2(x - Qx)

y - Qy = 2x - 2Qx

y = 2x + (Qy - 2Qx)

B. To write an equation of the line that is parallel to line g (y=2x-1) and passes through point P, we know that parallel lines have the same slope. Therefore, the slope of the new line will also be 2. Using the point-slope form of a linear equation, the equation of the line passing through point P(x,y) with slope m=2 is:

y - y1 = m(x - x1)

y - Py = 2(x - Px)

y - Py = 2x - 2Px

y = 2x + (Py - 2Px)

C. To write an equation of the line that is perpendicular to line f (y=2) and passes through point Q, we know that the slope of the new line will be negative reciprocal of slope of f, which is -1/2. Using the point-slope form of a linear equation, the equation of the line passing through point Q(x,y) with slope m=-1/2 is:

y - y1 = m(x - x1)

y - Qy = -1/2(x - Qx)

y - Qy = -1/2x + 1/2Qx

y = -1/2x + (Qy + 1/2Qx)

D. To write an equation of the line that is perpendicular to line g (y=2x-1) and passes through point Q, we know that the slope of the new line will be negative reciprocal of slope of g, which is -1/2.

Therefore,Using the point-slope form of a linear equation, the equation of the line passing through point Q(x,y) with slope m=-1/2 is:

y - y1 = m(x - x1)

y - Qy = -1/2(x - Qx)

y - Qy = -1/2x + 1/2Qx

y = -1/2x + (Qy + 1/2Qx)

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According to the exponential growth formula , there will be 38400 bacteria present after 3 days.

The given formula for the bacteria population, f(x) = 75 - 8², seems to be incorrect. Since the bacteria reproduce by dividing in half every 8 hours, we should use an exponential growth formula.

Let's denote the number of bacteria present after z days as f(z). Since there are 24 hours in a day, there are 3 reproduction cycles in a day (24 hours / 8 hours per cycle = 3 cycles). Therefore, the total number of reproduction cycles after z days is 3z.

The formula for the bacteria population after z days is: f(z) = 75 * 2^(3z)

Now, let's find the total number present after 1, 2, and 3 days.

1 day: f(1) = 75 * 2^(3 * 1) = 75 * 2^3 = 75 * 8 = 600
There will be 600 bacteria present after 1 day.

2 days: f(2) = 75 * 2^(3 * 2) = 75 * 2^6 = 75 * 64 = 4800
There will be 4800 bacteria present after 2 days.

3 days: f(3) = 75 * 2^(3 * 3) = 75 * 2^9 = 75 * 512 = 38400
There will be 38400 bacteria present after 3 days.

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The system of equation with the same solution with 2x + 2y = 16 3x  - y = 4 is 2x + 2y = 16, 6x - 2y = 8. Therefore, the answer is 2.

System of equation can be solved using different method such as elimination method, substitution method and graphical method.  Therefore, let's solve the system of equation as follows;

2x + 2y = 16

3x  - y = 4

multiply equation(ii) by 2

2x + 2y = 16

6x - 2y = 8

add the equations

8x = 24

x = 24  / 8

x = 3

y = 3x - 4

y = 3(3) - 4

y = 9 - 4

y = 5

Therefore,

2x + 2y = 16

6x - 2y = 8

add the equation

8x = 24

x = 24  / 8

x = 3

Therefore,

2(3) + 2y = 16

6 + 2y = 16

2y = 16 - 6

2y = 10

y = 5

Therefore, the equation with the same solution is 2x + 2y = 16

6x - 2y = 8.

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Answer:

Step-by-step explanation:

Translate the shape 2 units up and 3 units to the left on a graph and you will find the answer.

Answer:

R= -4,8

S= 2,8

T= 1,6

U= -5,6

The probability of red is 0.1724, given the following table.

The table provided is given in the form of a contingency table. It is used to display the relationship between two categorical variables or nominal data through frequency distribution. It is also referred to as a two-way frequency table.

The table has "Yes" and "No" categories in the rows and "Red" and "Blue" categories in the columns.

The probability of Red can be calculated using the formula;

P(Red) = (Frequency of Red) / (Total Frequency)

Using the values provided in the table

,P(Red) = 15/87P(Red) = 0.1724

Hence, the probability of red is 0.1724.

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To find the surface area of the volume generated when the curve y = x^2 revolves around the y-axis from x = 0 to x = 2, we will use the surface area formula for revolution:

Surface Area = 2 * pi * ∫[x * sqrt(1 + (dy/dx)^2)] dx from x = 0 to x = 2.

First, find the derivative dy/dx:
y = x^2
dy/dx = 2x

Now, plug in the derivative and simplify the expression inside the integral:
sqrt(1 + (2x)^2) = sqrt(1 + 4x^2)

Now, set up the integral with the surface area formula:
Surface Area = 2 * pi * ∫[x * sqrt(1 + 4x^2)] dx from x = 0 to x = 2.

Next, we will approximate the integral using a calculator:
Approximate Integral ≈ 9.8433

Finally, multiply by 2 * pi:
Surface Area ≈ 2 * pi * 9.8433 ≈ 61.9362

So, the surface area of the volume generated when the curve revolves around the y-axis is approximately 61.9362 (rounded to four decimal places).

it will take 6 cleaners working at the same rate to clean all the rooms in the hotel in 5 hours.

If 4 cleaners can clean all the rooms in a hotel in 7 1/2 hours, we can start by using the concept of work rate. Work rate is a measure of how much work is completed in a certain amount of time. If we assume that the work rate of each cleaner is constant, we can set up a proportion to find how long it will take 6 cleaners to clean the same amount of rooms:

4 cleaners can clean all the rooms in 7 1/2 hours.

Therefore, 1 cleaner can clean all the rooms in (4 x 7 1/2) hours = 30 hours.

So, if 1 cleaner takes 30 hours to clean all the rooms, then 6 cleaners working at the same rate will take:

(time for 1 cleaner) / (number of cleaners) = (30 hours) / (6 cleaners) = 5 hours

Therefore, it will take 6 cleaners working at the same rate to clean all the rooms in the hotel in 5 hours.

It is important to note that this assumes that the work rate of each cleaner is constant and that there are no factors that may affect the cleaning time, such as interruptions or changes in the number of rooms to be cleaned. Additionally, the optimal number of cleaners may vary depending on the size of the hotel and the specific cleaning needs.

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Overall, the shape of the magnetosphere is determined by the interaction of the solar wind and the Earth's magnetic field.

The shape of Earth's magnetosphere is modified by the solar wind. The Earth's magnetosphere is a protective magnetic shield around the Earth that protects us from the harmful particles and radiation from the Sun. The magnetosphere is not a perfect sphere, but rather a complex shape that is constantly changing due to the interaction of the solar wind and the Earth's magnetic field.The solar wind is a continuous stream of charged particles, mostly protons and electrons, that are ejected from the Sun's outer atmosphere. When these charged particles come into contact with the Earth's magnetic field, they are deflected around the Earth, forming a bow shock in front of the magnetosphere.

The magnetosphere then acts as a barrier, trapping many of the charged particles and preventing them from reaching the Earth's surface. However, some particles are able to penetrate the magnetosphere and reach the upper atmosphere, where they can cause auroras and other phenomena.The shape of the magnetosphere is constantly changing due to the changing conditions in the solar wind.

For example, during periods of high solar activity, the magnetosphere can become compressed and distorted, leading to more auroras and other phenomena. During periods of low solar activity, the magnetosphere can expand and become more symmetrical.

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Answer: Shape one: 5, Shape 2: 13

Step-by-step explanation:

shape one
12^2+x^2=13^2

shape two
5^2+12^2=x^2

Answer:

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Step-by-step explanation:

p=12

h=13

b=?

p²+b²=h²

12²+b²=13²

144+b²=169

b²=169-144

   = 25

b=root25

b=5m

b=5

p=12

h=?

p²+b²=h²

12²+5²=h²

144+25=h²

h²=169

h=root169

h=13

Before both of Julian's investments make a profit in the same year, he must wait 12 years.

a) To find the year when both investments pay out in the same year, we need to find the least common multiple (LCM) of the two payout periods: 4 years and 6 years.

The prime factorization of 4 is 2², and the prime factorization of 6 is 2 x 3. The LCM of 4 and 6 is 2² x 3 = 12.

Therefore, Julian must wait 12 years before both of his investments pay out in the same year.

b) One advantage of the investment that pays out £225 after every 4 years is that it provides a steady and predictable income stream. Julian can expect to receive the same amount every 4 years, which can help him plan for future expenses.

One advantage of the investment that pays out £350 after every 6 years is that it offers a higher payout than the other investment. Julian can potentially earn more money from this investment, although it requires a longer waiting period for the payout. Overall, the two investments offer different advantages, and Julian may choose to invest in both to balance steady income with higher potential earnings.

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The probability of exactly 3 items out of 15 being defective is 0.184 or approximately 18.4%.

What is Probability ?

Probability can be defined as ratio of number of favourable outcomes and total number outcomes.

To solve this problem, we can use the binomial distribution, which is a probability distribution that describes the number of successes in a fixed number of independent trials, where each trial has the same probability of success.

In this case, the probability of a single item being defective is 10%, or 0.1, and the probability of a single item being non-defective is 90%, or 0.9. We want to know the probability of getting exactly 3 defective items out of a sample of 15 items.

Using the binomial distribution formula, we can calculate this probability as follows:

P(X = 3) = (15 choose 3) * [tex]0.1^3[/tex] *[tex]0.9^12[/tex]

where (15 choose 3) is the number of ways to choose 3 items out of 15, which is given by the binomial coefficient:

(15 choose 3) = 15! / (3! * 12!) = 455

Substituting these values into the formula, we get:

P(X = 3) = 455 *  [tex]0.1^3[/tex] *[tex]0.9^12[/tex]

Therefore, the probability of exactly 3 items out of 15 being defective is 0.184 or approximately 18.4%.

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The independent variable is whether or not a person is chatting on a cell phone in an experiment to ascertain whether or not this influences the number of driving errors they commit.

     A variable is any aspect that can be changed or changed over time.

      For example, in an experiment, a researcher can manipulate the independent variable (such as the amount of light that a plant receives) to see how it affects a dependent variable (like how much the plant grows).

     An independent variable is a variable that stands on its own and is not affected by the other variables being measured. In the given situation, the independent variable is whether or not the person is talking on a cell phone.

          The dependent variable is the variable that changes in response to the independent variable. In the given situation, the dependent variable is the number of driving errors they make.

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The equation to represent the function is L(x) = 360 - 15w

Remember that an equation is a mathematical statement that shows that two mathematical expressions are equal, denoted by the equal to sign =

The given parameters that will help to solve the problem are given as follows

Amount = $360

Rate = $15 per week

The problem is to determine the function to represent the scenario

The amount (L) owed in w weeks is represented as:

Amount owed = Amount -  Rate* weeks

We used negative because the amount reduces weekly.

So, we have:

L(w) = 360 - 15*w

L(x) = 360 - 15*w

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The function used to represents the time spend by Jasmine in biking for a distance of d miles is given by f(d) = d / 18.

The time Jasmine spends biking is indeed a function of the distance she bikes.

The formula to calculate the time Jasmine takes to bike a certain distance is equal to,

time = distance / speed __(1)

Here the speed is the rate at which Jasmine bikes = 18 miles per hour.

Let us consider 'd' be the distance representing the number of miles Jasmine bikes.

This implies,

The function that represents the time Jasmine spends biking in terms of the distance .

Function f(d)  representing the time Jasmine spends biking for a distance of d miles

Substitute all the values in the formula (1) we get,

⇒ f(d) = d / 18

Therefore, the function representing the time spend by Jasmine for distance d is equal to f(d) = d / 18.

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The above question is incomplete , the complete question is:

The time Jasmine spends biking is a function of the distance she bikes. Jasmine bikes 18 miles per hour. Assume she bikes at a constant rate.

Write the function representing the time Jasmine spends biking in terms of the distance?

Answer:

An easy way to finish this problem even if you don't know the correct mathematical approach would be to plug in each ordered pair into both equations and see whether they are true/false. You can even graph both lines and see where the intersect (the solution).

I got (-7,23), which appears to not be one of the available answer choices. Try using the graphing calculator in desmos.

Answer: To find the relative frequency of students that missed 1 question on the quiz, we need to first determine the total number of students who missed 1 question. From the table, we see that 9 students missed 1 question.

The relative frequency of students that missed 1 question can be calculated as:

Relative frequency = (Number of students who missed 1 question) / (Total number of students)

Relative frequency = 9 / 25

Relative frequency = 0.36

Therefore, the relative frequency of students that missed 1 question on the quiz is 0.36 or 36%.

Step-by-step explanation:

The value of x in ΔPQR is 12 and value of x and y are 17.5 and 19.2 respectively, with the scale factor 8 : 5.

Scale Factοr is used tο scale shapes in different dimensiοns. In geοmetry, we learn abοut different geοmetrical shapes which bοth in twο-dimensiοn and three-dimensiοn. The scale factοr is a measure fοr similar figures, whο lοοk the same but have different scales οr measures. Suppοse, twο circle lοοks similar but they cοuld have varying radii.

The scale factοr states the scale by which a figure is bigger οr smaller than the οriginal figure.  It is pοssible tο draw the enlarged shape οr reduced shape οf any οriginal shape with the help οf scale factοr.

4. The scale factor is in the ratio of 2:5

x = QR ≅ VS

x ≅ 30

Now, we have

2/5 = x/30

x = 2/5 × 30

x = 12

Thus, The value of x is 12 when scale factor is 2:5.

5. As ΔABC ≅ ΔAVW

WA = x ≅  CA

x ≅  28

And in the same way

y ≅  12

Now, Scale factor is

CB/VW

= 16/10

= 8/5

= 8 : 5

Now,

8/5 = 28/x

x = 28 × 5/8

x = 28 × 5/8

x = 35/2

x = 17.5

And for y

8/5 = y/12

8/5 × 12= y

y = 8/5 × 12

y = 96/5

y = 19.2

Thus, The value of x in ΔPQR is 12 and value of x and y are 17.5 and 19.2 respectively, with the scale factor 8 : 5.

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Answer:Independent = Her practice time. Dependent= Her lap time.

Step-by-step explanation: The more she practices the faster she can swim.

By trigonometric formula, the trigonometric function sec (5π / 6) has the exact value - 2√3 / 3.

In this problem we find the case of a trigonometric function, whose exact value can be found by means of trigonometric formula and tables of values:

sec θ = 1 / cos θ

sec (5π / 6) = 1 / cos (5π / 6)

sec (5π / 6) = - 1 / cos (π / 6)

sec (5π / 6) = 1 / (- √3 / 2)

sec (5π / 6) = - 2 / √3

sec (5π / 6) = - 2√3 / 3

The exact value of the trigonometric function sec (5π / 6) is equal to - 2√3 / 3.

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Step-by-step explanation:

Probabilities

The question describes an event where two counters are taken out of a bag that originally contains 11 counters, 5 of which are white.

Let's call W the event of picking a white counter in any of the two extractions, and N when the counter is not white. The sample space of the random experience is Ω = {WW, W N, NW, N N}

We are required to compute the probability that only one of the counters is white. It means that the favorable options are A = {W N, NW}

Let's calculate both probabilities separately. At first, there are 11 counters, and 5 of them are white. Thus, the probability of picking a white counter is 5/11.

Once a white counter is out, there are only 4 of them and 10 counters in total. The probability to pick a non-white counter is now 6/10.

Thus, the option WN has the probability P(WN) = 5/11 x 6/10 = 30/110 = 3/11

Now for the second option NW. The initial probability to pick a non-white counter is 6/11.

The probability to pick a white counter is 5/10

Thus, the option NW has the probability P(WN) = 6/11 x 5/10 = 30/110 = 3/11

P(A) = 3/11 + 3/11 = 6/11.

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The probability that the number of lost-time accidents occurring over a period of 8 days will be no more than 4 is 0.2027, or approximately 20.27%.

To solve this problem, we can use the Poisson distribution formula, which is as follows:

P(X ≤ 4) = ∑(k=0 to 4) [(e^-λ * λ^k) / k!]

where λ is the mean rate of lost-time accidents per day, and X is the number of lost-time accidents occurring over a period of 8 days.

Substituting the given values, we get:

λ = 0.7 * 8 = 5.6

P(X ≤ 4) = ∑(k=0 to 4) [(e^-5.6 * 5.6^k) / k!]

Using a calculator, we can evaluate this probability as:

P(X ≤ 4) = 0.2027 (rounded to four decimal places)

In conclusion, the Poisson distribution can be used to calculate the probability of a certain number of events occurring over a given time period, given the mean rate of occurrence per unit time.

In this case, we used the Poisson distribution to calculate the probability of a certain number of lost-time accidents occurring over an 8-day period, given the mean rate of lost-time accidents per day.

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The random variable x in this case is a binomial random variable, representing the number of cars that need to be inspected until a car fails an inspection. A binomial random variable is defined as the number of successes, “s”, in “n” independent trials. In this case, “s” would be 1 (the single failure) and “n” would be the number of cars that John inspects until a car fails inspection.

The probability of success, “p”, in this case is 0.06 since 6% of cars fail inspection. The probability of failure is “q”, which would be 0.94 in this case (1 - 0.06). The mean, “μ”, of the random variable x is equal to n * p, or the total number of trials times the probability of success. In this case, the mean would be equal to n * 0.06, or 6%.

The variance, “σ2”, of the random variable x is equal to n * p * q, or the total number of trials times the probability of success times the probability of failure. In this case, the variance would be equal to n * 0.06 * 0.94, or 5.64%.

The binomial random variable x can be used to calculate the expected number of inspections it will take John until a car fails an inspection, as well as the probability of a car failing an inspection. By knowing the probability of success, the number of trials, and the probability of failure, we can calculate the mean, variance, and expected value of the binomial random variable x.

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