Use the graph of y=Ca to determine C and a.
C= 1
a=
CIT
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[-10, 10] [-10, 10]
Xscl=1 Yscl=1
Aу
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Answer:

Step-by-step explanation:

formula: p(1+r/n)^nt

p=3300

r= 5.25% = 0.0525

n= 1

t= 8

3300(1+0.0525/1)^8(1)

3300(1.0525)^8

apply exponent to parentheses first, then multiply by 3300. and you get approximately (rounded):

≈49,692

Answer: we could be th superheros so we are superheros

Step-by-step explanation:

Answer:

Step-by-step explanation:

SInce the distance between the vertex and the focus is the same as the distance from the vertex to the directrix, the distance from the directrix to the focus is  22‾√.

 Since the shortest path from the focus to the directrix goes through the vertex, the distance from the focus to the directrix is the sum of the distance from the focus to the vertex and the distance of the vertex to the directrix, namely  22‾√+22‾√=42‾√

A nonlinear programming model differs from a linear programming model in several ways. One key difference is that nonlinear models have nonproportional relationships between activity levels and the overall measure of performance.

Additionally, nonlinear models may have multiple optimal solutions, while linear models typically only have one optimal solution. Nonlinear models may also have discontinuous objective functions or constraints, while linear models have continuous objective functions and constraints.

Nonlinear programming models are used when the relationship between variables is not linear. In a linear programming model, the objective function and constraints are linear, meaning that they have a constant rate of change.

However, in a nonlinear programming model, the objective function and constraints may have nonlinear relationships, which means that they do not have a constant rate of change. This can make it more difficult to optimize the model, as it may have multiple optimal solutions or discontinuous regions. Nonlinear programming models may use techniques such as gradient descent or Newton's method to find the optimal solution, while linear programming models typically use the simplex method. Overall, nonlinear programming models are more complex than linear programming models and require more advanced mathematical techniques to solve.

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The maximum vertical distance between the line y = 10x + 39 and the parabola y = x^2 for -3 ≤ x ≤ 3 is 160 units.

To find the maximum vertical distance between the line y = 10x + 39 and the parabola y = x^2 for -3 ≤ x ≤ 3, we need to determine the points on the parabola that have the maximum vertical distance from the line.

Let's start by finding the points of intersection between the line and the parabola. Setting the equations equal to each other, we have:

10x + 39 = x^2

Rearranging the equation, we get:

x^2 - 10x - 39 = 0

Solving this quadratic equation, we find that x = -3 and x = 13 are the x-coordinates of the points of intersection.

Now, let's calculate the corresponding y-values for these x-coordinates on the parabola:

For x = -3, y = (-3)^2 = 9

For x = 13, y = (13)^2 = 169

Next, we can calculate the y-values for the line at these x-coordinates:

For x = -3, y = 10(-3) + 39 = 9

For x = 13, y = 10(13) + 39 = 169

Since the y-values of the line and the parabola are the same at the points of intersection, the maximum vertical distance occurs at the point (-3, 9) and (13, 169).

The maximum vertical distance between the line and the parabola is the difference in y-coordinates at these points:

169 - 9 = 160

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The value of P(-1.83 ≤ z ≤ 0.56) for a standard normal distribution is 0.6783, or 68.83%.

To find the value of P(-1.83 <= z <= 0.56) for a standard normal distribution, we need to find the probability associated with each individual value and then subtract the lower probability from the higher probability.

As, P(z <= -1.83) is 0.034, and P(z <= 0.56) is 0.7123.

To find P(-1.83 ≤ z ≤ 0.56), we subtract the lower probability from the higher probability:

P(-1.83 ≤ z ≤ 0.56)

≈ P(z ≤ 0.56) - P(z ≤-1.83)

≈ 0.7123 - 0.034

or, P(-1.83 ≤ z ≤ 0.56) ≈ 0.6783

Therefore, the value of P(-1.83 ≤ z ≤ 0.56) for a standard normal distribution is 0.6783, or 68.83%.

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In conclusion, the most appropriate conclusion is that there is sufficient evidence to suggest that the average pulse rate of adults is greater than 70 beats per minute, based on the sample of 64 adults and the calculated p-value.

Based on the given information, it can be inferred that the null hypothesis is that the average pulse rate of adults is 70 beats per minute. The alternative hypothesis, in this case, would be that the average pulse rate is greater than 70.
A sample of 64 adults is taken, and the average pulse rate is found to be 71.8 beats per minute. This means that the sample mean is slightly higher than the hypothesized value of 70, but it is not clear whether this difference is statistically significant or not.
To test the significance, a significance test is performed, and the p-value is found to be 0.02. This means that there is a 2% chance of observing a sample mean of 71.8 beats per minute or higher, assuming that the null hypothesis is true.
A commonly used threshold for statistical significance is 0.05, which means that if the p-value is less than 0.05, the null hypothesis can be rejected. In this case, the p-value is less than 0.05, which indicates that the observed difference between the sample mean and the hypothesized value of 70 is statistically significant. Therefore, the null hypothesis can be rejected, and the alternative hypothesis can be accepted.

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The forester is using the systematic sampling method to evaluate the health of maple trees in the large forest. Systematic sampling involves selecting every nth item in a population after randomly selecting a starting point.

In this case, the forester randomly selected 10 locations in the forest and created 20-meter diameter circles with each location as a center. Since the circles do not overlap and are evenly spaced, this indicates that the forester is selecting every 10th circle. The forester then evaluates all the maple trees in each circle.

Systematic sampling is useful when the population is too large to be evaluated in its entirety, but a representative sample is needed. It is also efficient and eliminates bias that can occur when using other sampling methods such as convenience sampling or judgmental sampling. By using systematic sampling, the forester can get an accurate representation of the health of maple trees in the large forest without having to evaluate every single tree.

The forester is using the "cluster sampling" method. In this approach, the population is divided into smaller groups, or clusters, and a random sample of these clusters is selected for evaluation. In this case, the forest is the population, and the 10 locations with 20-meter diameter circles are the selected clusters. The forester then evaluates all maple trees within each chosen cluster to gather data on the health of the trees. This method is useful for studying large populations, as it reduces the time and effort required to collect data by focusing on specific areas rather than the entire population.

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Answer:

16647.1835

Step-by-step explanation:

To find the antilogarithm of 4.1909, we need to take the inverse operation of the logarithm with base 10.

We have:

antilog(4.1909) = 10^(4.1909)

Using a calculator, we get:

antilog(4.1909) = 16647.1835

Therefore, the antilogarithm of 4.1909 is approximately 16647.1835.

[tex]\textit{using the pythagorean theorem} \\\\ c^2=a^2+o^2\implies c=\sqrt{a^2 + o^2} \end{array} \qquad \begin{cases} c=hypotenuse\\ a=\stackrel{adjacent}{4}\\ o=\stackrel{opposite}{7} \end{cases} \\\\\\ c=\sqrt{ 4^2 + 7^2}\implies c=\sqrt{ 16 + 49 } \implies c=\sqrt{ 65 }\implies c\approx 8.1[/tex]

The loading buffer that the protein is mixed with typically contains a variety of components that serve different purposes in preparing the protein sample for analysis.

The key components that are commonly found in loading buffer include a reducing agent such as beta-mercaptoethanol or dithiothreitol, which helps to break down disulfide bonds in the protein and denature it for easier separation by gel electrophoresis. Other components that may be included in the loading buffer are a detergent such as sodium dodecyl sulfate (SDS), which helps to solubilize the protein and gives it a negative charge that allows it to migrate through the gel towards the positive electrode during electrophoresis. Additionally, loading buffer may contain a tracking dye such as bromophenol blue or xylene cyanol, which helps to visualize the progress of the protein migration through the gel.

Overall, the specific composition of the loading buffer can vary depending on the experimental protocol and the protein being studied, but the goal is always to prepare a homogeneous and denatured protein sample that can be effectively analyzed by gel electrophoresis or other techniques.

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The correct table is,

trial number                       Number of heads

  1                                            12

  2                                           11

  3                                            9

  4                                           10

  5                                            8

Given that;

. Flip your coin 20 times and record the number of heads you get.

Now, After flipping the coin we get;

trial number                       Number of heads

  1                                            12

  2                                           11

  3                                            9

  4                                           10

  5                                            8

Thus, The correct table is shown above.

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The coordinates of the image of the quadrilateral by translation are A'(x, y) = (- 4, - 7), B'(x, y) = (- 5, - 2), C'(x, y) = (- 2, - 3) and D'(x, y) = (- 1, - 6).

In this question we need to determine the image of a quadrilateral by a kind of rigid transformation known as translation, whose definition is introduced below:

P'(x, y) = P(x, y) + T(x, y)

Where:

First, we determine the coordinates of the vertices of the image of the quadrilateral:

A'(x, y) = (- 2, - 3) + (- 2, - 4)

A'(x, y) = (- 4, - 7)

B'(x, y) = (- 3, 2) + (- 2, - 4)

B'(x, y) = (- 5, - 2)

C'(x, y) = (0, 1) + (- 2, - 4)

C'(x, y) = (- 2, - 3)

D'(x, y) = (1, - 2) + (- 2, - 4)

D'(x, y) = (- 1, - 6)

Second, graph the resulting quadrilateral.

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Answer:

5, -1

Step-by-step explanation:

First, we have to find a pattern. A pattern is y=5x-1. This works because 2x5=10, and you subtract one, which is 9. Same for the second. 7x5=35, and subtracting one is 34. So, for the first box, put in 5, and the second, put in -1.

Yes, that is correct. A paired t-test could also be used to test whether the mean difference is statistically significant.

The appropriate procedure for estimating the mean difference in satisfaction ratings between the combined shampoo and conditioner and separate shampoo and conditioner is a one-sample t-interval for the population mean difference.

Since the researcher is interested in comparing the means of two related samples (i.e., the same subjects are used for both the combined and separate treatments), a paired t-test could also be used to test whether the mean difference is statistically significant.

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The most common error when entering a formula is to reference the wrong cell in the formula.

This error occurs when the cell references within a formula do not match the intended cells. It can lead to incorrect calculations and produce unexpected results. For example, if a formula is supposed to use data from cell A1 but mistakenly refers to cell B1, the calculation will be based on the wrong data. It is important to double-check and ensure that the cell references in a formula accurately reflect the intended data sources to avoid this common mistake.

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Answer:

a) m decreases as n increases

b) n decreases as m increases

Step-by-step explanation:

Since m and n are positive and inversely proportional, by the law of invese proportionality with m = 3/n

a) as n increases, 3/n decreases so m decreases

b) we can rewrite the equation of proportionality as
n = 3/m so as m increases, n decreases

Actually inversely proportional between two quantities means if one of the quantities increases the other quantity must decrease

The dimensions of the box with the maximum volume are:

Length of the square base (x) = 2 cm

Width of the rectangular side (y) = 5.5 cm

To determine the dimensions of the box with the maximum value, we need to maximize the volume of the box since the surface area is fixed.

Let's assume that the length of one side of the square base is "x," and the width of the rectangular side is "y."

Since the sides are congruent, the other side of the square base will also be "x," and the length of the rectangular side will be "y."

The surface area of the base and sides is given by:

Area = Base Area + 4 × Side Area

The base area is given by:

Base Area = x × x = x²

The side area is given by:

Side Area = x × y

The total area is given as 48 cm², so we have:

x² + 4xy = 48

To find the dimensions that maximize the volume, we need to express the volume in terms of a single variable. The volume of the box is given by:

Volume = Base Area × Height

Since the height is not specified, let's assume it is "h."

Therefore, the volume is:

Volume = x² × h

To solve this problem, we need to express the volume in terms of a single variable using the given information. From the total area equation, we can solve for y:

x² + 4xy = 48

4xy = 48 - x²

y = (48 - x²) / (4x)

Now we can substitute the value of y into the volume equation:

Volume = x²h

Volume = x²(48 - x²) / (4x)

Volume = (12x - x³) / 4

To find the maximum value of the volume, we need to find the critical points by taking the derivative of the volume equation with respect to x:

d(Volume) / dx = (12 - 3x²) / 4

Setting the derivative equal to zero and solving for x:

12 - 3x² = 0

3x² = 12

x² = 4

x = ±2

Since the dimensions of a box cannot be negative, we discard the negative value. Therefore, x = 2.

Now we can substitute x back into the equation for y:

y = (48 - x²) / (4x)

y = (48 - 2²) / (4 × 2)

y = (48 - 4) / 8

y = 44 / 8

y = 5.5

So, the dimensions of the box with the maximum volume are:

Length of the square base (x) = 2 cm

Width of the rectangular side (y) = 5.5 cm

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Function f(x) = ax[tex]e^{(bx^{2} )}[/tex]to be well-defined, there are no specific restrictions on a and b, both a and b have any real numbers.

Function is equal to,

f(x) = ax[tex]e^{(bx^{2} )}[/tex]

To determine the values of a and b for which the function f(x) = ax[tex]e^{(bx^{2} )}[/tex] is well-defined,

Consider the conditions that ensure the function remains finite and defined for all values of x.

For the function f(x) = ax[tex]e^{(bx^{2} )}[/tex] to be well-defined,

The exponential term [tex]e^{(bx^{2} )}[/tex] must be defined for all real values of x.

The product ax must also be defined for all real values of x.

Let us examine these conditions,

Exponential term,

The exponential function [tex]e^{(bx^{2} )}[/tex] is always defined for any real value of x.

There are no restrictions on the values of b that would make the exponential term undefined.

Product term,

The product ax must be defined for all real values of x.

This means that both a and x must be real numbers, and their product must be finite.

There are no restrictions on the values of a that would make the product term undefined.

Therefore, for function f(x) = ax[tex]e^{(bx^{2} )}[/tex]  is well defined there are no specific restrictions on values of a and b, both a and b can be any real numbers.

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The above question is incomplete, the complete question is:

What values of the numbers a and b does the function f(x) = axe^ {bx^2} is well defined?

Answer:

15.6

Step-by-step explanation:

sin74=15/x

sin74x=15

x=15/sin74

x=15.625

x=15.6 (Nearest tenth)

The solution is:  the number of total combinations is 24+30=54.

We know that Peg has 4 long-sleeve shirts, 5 short-sleeve shirts, and 6 pairs of pants. We assume that she is going to wear a shirt and a pair of pants.

First, we calculate the number of combinations for a pants and long-sleeve shirts. She have 6 pairs of pants and 4 long-sleeve shirts.  

We get: 6 · 4 = 24

Now, we calculate the number of combinations for a pants and  short-sleeve shirts. She have 6 pairs of pants and 5 short-sleeve shirts.  

We get: 6 · 5 = 30

So the number of total combinations is 24+30=54.

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complete question:

Peg has 4 long-sleeve shirts, 5 short-sleeve shirts, and 6 pairs of pants. (a) How many different ways can Peg dress (assuming she is going to wear a shirt and a pair of pants)

The value of -3 4/5 divided by 6/2 is -8/15.

Algebra is the study of abstract symbols, thus logic is the manipulation of all those ideas. The PEMDAS stands for; Parenthesis, Exponent, Multiplication, Division, Addition, Subtraction.

We are given that;

Numbers= -3 4/5 and 6/2

Now,

We can see that 4 and 6 have a common factor of 2. We will divide both by 2 and get:

26​−354​​=−352​×31​

Now we can multiply the fractions by multiplying the numerators and the denominators. We get:

26​−354​​=−5×33×2+2×1​

Simplifying, we get:

26​−354​​=−8/15

Therefore, by algebra, the answer will be -8/15.

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Answer:

D

Step-by-step explanation:

using the bottom left hand corner as the origin

calculate the length d using the distance formula

d = [tex]\sqrt{(x_{2}-x_{1})^2+(y_{2}-y_{1})^2 }[/tex]

the coordinates of the ends of the line are then

(x₁, y₁ ) = (2, 8 ) and (x₂, y₂ ) = (12, 2 )

d = [tex]\sqrt{(12-2)^2+(2-8)^2}[/tex]

  = [tex]\sqrt{10)^2+(-6)^2}[/tex]

  = [tex]\sqrt{100+36}[/tex]

  = [tex]\sqrt{136}[/tex]

So Steve's grandmother celebrated her birthday in the year 45+n, where n is her age in years.

Let's call the two prime numbers that multiply to form Steve's grandmother's birth year "p" and "2p-1", where p is the smaller prime number.

Since we don't know Steve's birth year or his grandmother's age, we can't determine the exact year in which his grandmother celebrated her birthday. However, we can set up an equation based on the information given and solve for the product p(2p-1).

We know that Steve's grandmother was born in the year p(2p-1). Let's assume that she celebrated her n-th birthday in the year y, so she was born in year y-n. Since we don't know n or y, we can use algebraic variables instead:

Steve's grandmother was born in year y-n = p(2p-1).

Let's simplify the right-hand side:

y - n = 2p^2 - p

Since we know that Steve's grandmother was born in a year that is the product of two prime numbers, we know that p is a prime number and that 2p-1 is also a prime number. We can try different values of p to see if they work:

If p = 2, then 2p-1 = 3, and p(2p-1) = 4(3) = 12. However, 12 is not a product of two prime numbers, so this doesn't work.

If p = 3, then 2p-1 = 5, and p(2p-1) = 3(5) = 15. However, 15 is not a product of two prime numbers, so this doesn't work.

If p = 5, then 2p-1 = 9, and p(2p-1) = 5(9) = 45. This works! If Steve's grandmother celebrated her n-th birthday in year y, then y-n = p(2p-1) = 45. We don't know the value of n, but we can use this equation to find y if we know n.

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Regine will earn $19,614 in interest over 3 years.

The simple interest formula is expressed as;

I = P × r × t

Where I is interest, P is principal, r is interest rate and t is time.

Given that:

First convert the rate from percent to decimal.

Rate r = 7%

Rate r = 7/100

Rate r = 0.07

Substituting these values into the formula, we get:

I = P × r × t

I = $93,400 × 0.07 × 3

I = $19,614

Therefore, the ineterst in 10 years is $19,614.

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The probability that fewer than six homes are one-person households is approximately 1.0092.

To solve this problem, we can use the binomial probability formula.

The formula for the probability of getting exactly k successes in n independent Bernoulli trials, each with a probability of success p, is:

[tex]P(X = k) = (n C k) \times p^k \times (1 - p)^{(n - k)[/tex]

Where:

P(X = k) is the probability of getting exactly k successes.

n is the number of trials or sample size.

k is the number of successful outcomes.

(n C k) is the number of combinations of n items taken k at a time, also known as "n choose k."

p is the probability of success on each trial.

(1 - p) is the probability of failure on each trial.

^ represents exponentiation.

In this case, the probability of success (p) is 30% or 0.30, since 30% of households are one-person households.

The number of trials (n) is 20, as 20 homes are randomly selected for the survey.

To find the probability that fewer than six of these homes are one-person households, we need to calculate the cumulative probability from 0 to 5. We can do this by summing the individual probabilities for k = 0, 1, 2, 3, 4, and 5.

P(X < 6) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5).

Now let's calculate each term using the binomial probability formula and sum them up:

[tex]P(X = 0) = (20 C 0) \times (0.30)^0 \times (1 - 0.30)^{(20 - 0)}[/tex]

[tex]P(X = 1) = (20 C 1) \times (0.30)^1 \times (1 - 0.30)^{(20 - 1)}[/tex]

[tex]P(X = 2) = (20 C 2) \times (0.30)^2 \times (1 - 0.30)^{(20 - 2)[/tex]

[tex]P(X = 3) = (20 C 3) \times (0.30)^3 \times (1 - 0.30)^{(20 - 3)[/tex]

[tex]P(X = 4) = (20 C 4) \times (0.30)^4 \times (1 - 0.30)^{(20 - 4)}[/tex]

[tex]P(X = 5) = (20 C 5) \times (0.30)^5 \times (1 - 0.30)^(20 - 5)[/tex]

To calculate the binomial coefficients (n C k), we can use the formula:

[tex](n C k) = n! / (k! \times (n - k)!)[/tex]

where "!" denotes the factorial of a number.

Let's calculate each term and sum them up to find the probability using the binomial probability formula:

[tex]P(X = 0) = (20 C 0) \times (0.30)^0 \times (1 - 0.30)^{ (20 - 0)} = 0.0264[/tex]

[tex]P(X = 1) = (20 C 1) \times (0.30)^1 \times (1 - 0.30)^{(20 - 1)} = 0.1305[/tex]

[tex]P(X = 2) = (20 C 2) \times (0.30)^2 \times (1 - 0.30)^{(20 - 2)} = 0.2501[/tex]

[tex]P(X = 3) = (20 C 3) \times (0.30)^3 \times (1 - 0.30)^{(20 - 3)} = 0.2905[/tex]

[tex]P(X = 4) = (20 C 4) \times (0.30)^4 \times (1 - 0.30)^{(20 - 4) } = 0.2088[/tex]

[tex]P(X = 5) = (20 C 5) \times (0.30)^5 \times (1 - 0.30)^{(20 - 5)} = 0.1029[/tex]

Now let's sum up these probabilities.

P(X < 6) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5)

= 0.0264 + 0.1305 + 0.2501 + 0.2905 + 0.2088 + 0.1029

= 1.0092.

Therefore, the probability that fewer than six homes are one-person households is approximately 1.0092.

However, probabilities cannot exceed 1, so we can conclude that the probability is 1 (or 100%) that fewer than six homes are one-person households in this sample of 20 homes.

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True, a pie chart should be considered when you have just one data series to plot. A pie chart is a circular chart that is divided into slices to represent numerical proportions.

Each slice of the pie chart represents a category or percentage of a whole. Pie charts are useful when you want to display relative proportions or percentages of a single data series. They are easy to understand and provide a quick visual representation of data. However, pie charts are not recommended for complex data sets or when comparing multiple data series. In such cases, a bar chart or a line graph may be a better option. It is important to choose the right type of chart based on the nature of the data and the purpose of the visualization.

True, a pie chart should be considered when you have just one data series to plot. A pie chart is a circular graphical representation of data that displays the size of items in one data series as a proportion of the total sum of the items. The individual data points are shown as slices or segments of the pie, with each segment's size representing the proportion of the whole.

Pie charts are particularly useful for visualizing percentages and proportions of a whole, and they work best when there are a limited number of categories in the data series. They are simple and easy to understand, making them a popular choice for presenting information to a broad audience.

However, pie charts may not be the best choice for every situation. If there are too many categories, the segments may become too small to easily distinguish between them. Additionally, if you need to compare multiple data series or trends over time, other chart types, such as bar or line charts, might be more appropriate.

In summary, pie charts are an effective choice for visualizing a single data series with a limited number of categories, especially when the goal is to show proportions or percentages. If these conditions are met, a pie chart can be a useful and easily understood way to display your data.

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The formula for the area of the shapes in:

8e). A = a[√(x² + a²)]

8f). A = a² - a[√[(2b)² - a²]]/4

Shape in 8e is a triangle and the height is derived using Pythagoras rule as;

triangle height = √(x² + a²)

Area of the triangle = 1/2 × 2a × √(x² + a²)

Area of the triangle = a[√(x² + a²)]

The shape in 8f is observed to be a triangle area cut out from a square area, thus;

Area of the square = a²

The triangle height = √[(b² - (a/2)²]

triangle height = √[(2b)² - a²]

Area of the triangle = 1/2 × a × √[(2b)² - a²]

Area of the triangle = a[√[(2b)² - a²]]/4

Area for the 8f shape = a² - a[√[(2b)² - a²]]/4

Therefore, the formula for the area of the shapes in:

8e). A = a[√(x² + a²)]

8f). A = a² - a[√[(2b)² - a²]]/4

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Answer:

|x+3|>8

Step-by-step explanation:

x is positive, so remove the absolute value signs. Adding a number greater than 5 to 3 will result in a number greater than 8.

Approximately 35% of the ears of corn in the bin are white.

To find the percentage of white ears of corn, we need to determine the number of white ears and then calculate what proportion they make out of the total number of ears in the bin.

Given that there are 78 ears of yellow corn, we can subtract this number from the total number of ears to find the number of white ears:

Total ears - Yellow ears = White ears

120 - 78 = 42

There are 42 white ears of corn in the bin. To calculate the percentage of white ears, we divide the number of white ears by the total number of ears and multiply by 100:

(White ears / Total ears) x 100 = Percentage of white ears

[tex](42 / 120) \times 100 = 35%[/tex]

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The probability of picking a red marble and then a blue marble is 20/81.

The total number of marbles in the bag is 5 red + 4 blue = 9 marbles. When you randomly pick a marble out of the bag, record its color, and return it to the bag, the probability of picking a red marble is 5/9 since there are 5 red marbles out of the total 9 marbles.

After returning the marble to the bag, the total number of marbles remains the same: 9 marbles. Now, the probability of picking a blue marble is 4/9 since there are 4 blue marbles remaining out of the total 9 marbles.

To find the probability of both events occurring (picking a red marble and then a blue marble), we multiply the probabilities: (5/9) * (4/9) = 20/81.

Therefore, the probability of picking a red marble and then a blue marble is 20/81.

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