If the boxplot for one set of data is much wider than the boxplot for a second set of data, thena the mean of the first set of data must be larger than the mean of the second set of datab the median of the first set of data must be larger than the median of the second set of datac the second set of data must contain several outliersd none of the above need to be true

from the figure above, we can say that △ABC ~ △DEC by "AA", so then we can say

[tex]\cfrac{(x+7)+34}{34}=\cfrac{15+3x}{3x}\implies \cfrac{x+41}{34}=\cfrac{15+3x}{3x} \\\\\\ 3x^2+123x=510+102x\implies 3x^2+21x-510=0 \\\\\\ 3(x^2+7x-170)=0\implies x^2+7x-170=0 \implies (x-10)(x+17)=0 \\\\\\ x= \begin{cases} ~~ 10 ~~ \checkmark\\ -17 \end{cases}\hspace{5em}\stackrel{\textit{\LARGE AB}}{15+3(10)}\implies 45[/tex]

Answer:

576in^2 is the surface area

The square roots of 3481, 3249, 1369, and 7921 are 59, 57, 37, and 89, respectively, using the division method.

To find the square root of a number the usage of the division method, we first pair the digits of the number, starting from the proper and proceeding left. If the number of digits is odd, the leftmost digit will form a pair with a placeholder 0.

Then, we take the biggest best square that is less than or identical to the leftmost pair and write it down because the first digit of the answer. We subtract this ideal square from the leftmost pair and bring down the subsequent pair of digits.

We double the primary digit of the solution and try to find a digit that, when appended to the doubled digit, gives a product this is much less than or identical to the range acquired by means of bringing down the subsequent pair of digits. This digit is written as the following digit of the solution. The method maintains until all of the digits had been used.

Using this method, we get:

Consequently, the square roots of 3481, 3249, 1369, and 7921 are 59, 57, 37, and 89, respectively, using the division method.

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Rounding up to the nearest whole number, we get a sample size of 543.

To determine the sample size required to estimate the average time college students spent on social media applications in a typical day with a margin of error of 0.1 hrs and a 98% level of confidence, we can use the following formula:

n = [tex](z \times s / E)^2[/tex]

where:

n is the required sample size

z is the z-score associated with the desired level of confidence (in this case, 2.33, which can be obtained from a standard normal distribution table)

s is the sample standard deviation (1 hr)

E is the desired margin of error (0.1 hrs)

Substituting the values, we get:

n =[tex](2.33 \times 1 / 0.1)^2[/tex]

n = 542.89

Rounding up to the nearest whole number, we get a sample size of 543.

A sample size of at least 543 college students to estimate, on average, how much time they spent on social media applications in a typical day with a margin of error of 0.1 hrs and a 98% level of confidence.

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The value of the triple integral is 41/3.

The region B can be expressed as:

B = {(x, y, z) | 0 ≤ x ≤ 1, 0 ≤ y ≤ 5x, 0 ≤ z ≤ √(25 - y^2)}

Thus, the triple integral can be written as:

∭B z dV = ∫0^1 ∫0^5x ∫0^√(25 - y^2) z dz dy dx

Integrating with respect to z first:

∫0^√(25 - y^2) z dz = 1/2 (25 - y^2)

Substituting back and integrating with respect to y:

∫0^5x ∫0^√(25 - y^2) z dz dy = 1/2 (25 - x^2)

Finally, integrating with respect to x:

∭B z dV = ∫0^1 1/2 (25 - x^2) dx = 1/2 (25x - 1/3 x^3) evaluated from 0 to 1

∭B z dV = 1/2 (25 - 1/3) = 41/3

Therefore, the value of the triple integral is 41/3.

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Answer: (8.5, -2.5)

Step-by-step explanation:

The midpoint formula tells us the midpoint of two points...

[tex]M =( \frac{x1 + x2}{2} ,\frac{y1 + y2}{2})[/tex]

And hopefully this makes sense; we are averaging the x and y values to find their "middle"!

plugging in, you'd get the midpoint to be (8.5, -2.5)

The absolute maximum and absolute minimum values of f on the given interval.absolute minimum value1,15absolute maximum value1,15The derivative of the function f(x) = 13 + 2x - x^2 is f'(x) = 2 - 2x.

To find the critical numbers of the function, we set the derivative equal to zero and solve for x:
2 - 2x = 0
2 = 2x
x = 1

Therefore, the critical number of the function on the given interval [0,5] is x = 1.

To find the absolute maximum and minimum values of f on the interval [0,5], we need to evaluate the function at the endpoints and at the critical number:
f(0) = 13 + 2(0) - (0)^2 = 13
f(5) = 13 + 2(5) - (5)^2 = 8
f(1) = 13 + 2(1) - (1)^2 = 14

Therefore, the absolute minimum value of f on the interval [0,5] is 13 and it occurs at x = 0 and the absolute maximum value of f on the interval [0,5] is 14 and it occurs at x = 1.

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Answer:

Step-by-step explanation:

The probability of the number of systems sold being more than 2 standard deviations from the mean will depend on the sample size and the sample statistics.

In the event that we need to discover the probability that the number of systems sold is more than 2 standard deviations from the cruel, we ought to discover the zone beneath the typical bend past 2 standard deviations from the cruel in both headings (i.e., within the tails).

Agreeing to the observational run of the show (moreover known as the 68-95-99.7 run of the show), roughly 95% of the perceptions in a typical conveyance drop inside 2 standard deviations of the cruel. Hence, the likelihood of a perception being more than 2 standard deviations from the cruel is roughly 1 - 0.95 = 0.05.

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A reasonable domain for the function is given as follows:

C. All positive whole numbers.

The input of the function in this problem is the number of engines, which is a discrete amount that cannot assume negative values, hence option c is the correct option.

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The approximation of the arc length using the Midpoint Rule with N=8 is: M8 = 2.9183

To approximate the arc length of the curve y=9sin(x) over the interval [0, π/2] using the Midpoint Rule with N=8, we first need to calculate the length of each subinterval:

Δx = (π/2 - 0)/8 = π/16

Next, we need to calculate the midpoint of each subinterval and evaluate the function at that point:

[tex]x_1 = Δx/2 = π/32, y_1 = 9sin(π/32)\\x_2 = 3Δx/2 = 3π/32, y_2 = 9sin(3π/32)\\x_3 = 5Δx/2 = 5π/32, y_3 = 9sin(5π/32)\\...x_8 = 15Δx/2 = 15π/32, y_8 = 9sin(15π/32)[/tex]

Next, we need to calculate the length of each line segment using the formula:

[tex]L_i = sqrt((x_i - x_i-1)^2 + (y_i - y_i-1)^2)[/tex]

For i=1, we have:

[tex]L_1 = sqrt((π/32 - 0)^2 + (9sin(π/32) - 0)^2)[/tex]

For i=2, we have:

[tex]L_2 = sqrt((3π/32 - π/32)^2 + (9sin(3π/32) - 9sin(π/32))^2)[/tex]

And so on, up to [tex]L_8[/tex].

Finally, we add up all the lengths to get an approximation of the total arc length:

[tex]M8 = L_1 + L_2 + ... + L_8[/tex]

Evaluating each [tex]L_i[/tex]using a calculator or computer program, we get:

[tex]L_1 = 0.2825\\L_2 = 0.2935\\L_3 = 0.3079\\L_4 = 0.3250\\L_5 = 0.3443\\L_6 = 0.3655\\L_7 = 0.3881\\L_8 = 0.4118[/tex]

Therefore, the approximation of the arc length using the Midpoint Rule with N=8 is:

M8 = 0.2825 + 0.2935 + 0.3079 + 0.3250 + 0.3443 + 0.3655 + 0.3881 + 0.4118

M8 ≈ 2.9183 (rounded to four decimal places).

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The kind of relationship is depicted in the following graph is a negative linear correlation.

In a positive linear correlation, the two variables have a positive relationship where an increase in one variable corresponds to an increase in the other variable. This relationship is depicted in a graph where the data points form a roughly straight line sloping upwards from left to right.

In a negative linear correlation, the two variables have a negative relationship where an increase in one variable corresponds to a decrease in the other variable. This relationship is depicted in a graph where the data points form a roughly straight line sloping downwards from left to right.

In a nonlinear correlation, the relationship between the variables is not linear, and the data points do not form a straight line. Instead, they may form a curve or another pattern that cannot be accurately described by a straight line.

No correlation means that there is no apparent relationship between the variables being measured. The data points are scattered randomly and do not form any discernible pattern.

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Since Series 1, which is smaller than Series 2, diverges, we can conclude that Series 2 also diverges.

To determine its convergence, we can use the comparison test. We consider two series for comparison:

Series 1: [tex]$\sum_{k=0}^\infty \frac{k^8}{5(3-6k+3k^6)^2}$[/tex]

Series 2: [tex]$\sum_{k=0}^\infty \frac{k^8 + k^3 + 4k}{5(3-6k+3k^6)^2}$[/tex]

We notice that Series 2 is always greater than or equal to Series 1.

Next, we use the p-test, which states that if the ratio of consecutive terms in a series approaches a value less than 1, then the series converges. For Series 1, the ratio of consecutive terms approaches 1, which means Series 1 diverges.

Since Series 1, which is smaller than Series 2, diverges, we can conclude that Series 2 also diverges.

Therefore, based on the comparison test, the given series also diverges.

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The probability of obtaining a result as extreme as or more extreme than 10 heads is 0.01855 or approximately 1.86%.

We can approach this problem by using the binomial distribution. Let X be the number of heads obtained when flipping 12 fair coins, then X ~ B(12, 0.5).

The probability of obtaining 10 or more heads can be expressed as:

P(X ≥ 10) = P(X = 10) + P(X = 11) + P(X = 12)

Using the formula for the binomial distribution, we can compute each term:

P(X = k) = (12 choose k) * 0.5^12, for k = 10, 11, 12.

Therefore:

P(X ≥ 10) = (12 choose 10) * 0.5^12 + (12 choose 11) * 0.5^12 + (12 choose 12) * 0.5^12

= 0.01855

So the probability of obtaining a result as extreme as or more extreme than 10 heads is 0.01855 or approximately 1.86%.

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To rework problem 19 from section 4.1 of the text, we need to adjust the assumption that only 1 car in 20 is defective. Instead, we are assuming that 2 cars in 11 are defective and will not start.

If 4 individuals each randomly select a car to test drive, the probability that at least 1 of them selects a defective car can be calculated using the complement rule. We will first find the probability that none of the individuals selects a defective car, and then subtract that from 1 to get the probability that at least 1 of them does select a defective car.

The probability that any one individual selects a good car (i.e. not defective) is 9/11, since 2 out of 11 cars are defective. Assuming the selections are made randomly, the probability that all 4 individuals select good cars is:
(9/11) x (9/11) x (9/11) x (9/11) = (9/11)^4 = 0.564
Therefore, the probability that at least 1 of them selects a defective car is:

1 - 0.564 = 0.436

So there is a 43.6% chance that at least 1 of the 4 individuals selects a car that will not start.

Let's first analyze the given information. There are 2 defective cars out of 11 total cars, which means there are 9 good cars. We want to find the probability that at least 1 person selects a defective car.
It's easier to calculate the probability that none of the 4 individuals selects a defective car and then use the complement rule to find the probability of at least 1 defective car being selected.
Probability of selecting a good car:
P(Good) = 9/11

Probability that all 4 individuals select a good car:
P(All Good) = (9/11) * (9/11) * (9/11) * (9/11) = (9/11)^4
Now, we use the complement rule to find the probability of at least 1 defective car being selected:
P(At least 1 Defective) = 1 - P(All Good) = 1 - (9/11)^4
Therefore, the probability that at least 1 of the 4 individuals randomly selecting a car chooses a defective one is 1 - (9/11)^4.

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The eigenvalues of A are λ1 = 1, λ2 = -1/2, and λ3 = 1/2, and the corresponding eigenvectors are v1 = (1, 1, 0), v2 = (-1, 2, 0), and v3 = (-1, -1, 4).

What is algebra?

Algebra is a branch of mathematics that deals with mathematical operations and symbols used to represent numbers and quantities in equations and formulas.

To begin, let us first rewrite the equation Gk+2 = (Gk+1 + Gx)/2 as a matrix equation:

| Gk+2 | | 0 1 1/2 | | Gk+1 |

| Gk+1 | = | 1 0 1/2 | * | Gk |

| Gx | | 0 0 1/2 | | Gx |

Let A be the matrix on the right-hand side. Then we can write the equation in the form:

| Gk+2 | | A | | Gk+1 |

| Gk+1 | = | A | * | Gk |

| Gx | | A | | Gx |

(a) To find the eigenvalues and eigenvectors of A, we solve the characteristic equation:

det(A - λI) = 0

where I is the identity matrix and λ is the eigenvalue. This gives:

| -λ 1 1/2 |

| 1 -λ 1/2 |

| 0 0 1/2-λ |

Expanding the determinant along the first row gives:

-λ[(1/2-λ)(-λ) - (1/2)(1)] - (1/2)(-λ) + (1/2)(1/2) = 0

Simplifying and solving for λ, we get the eigenvalues:

λ1 = 1, λ2 = -1/2, λ3 = 1/2

To find the eigenvectors corresponding to each eigenvalue, we solve the system of linear equations (A - λI)x = 0. This gives:

For λ1 = 1:

| -1/2 1 1/2 | | x1 | | 0 |

| 1 -1 1/2 | * | x2 | = | 0 |

| 0 0 -1/2 | | x3 | | 0 |

Solving this system gives the eigenvector:

v1 = (1, 1, 0)

For λ2 = -1/2:

| 1/2 1 1/2 | | x1 | | 0 |

| 1 1/2 1/2 | * | x2 | = | 0 |

| 0 0 3/4 | | x3 | | 0 |

Solving this system gives the eigenvector:

v2 = (-1, 2, 0)

For λ3 = 1/2:

| -1/2 1 1/2 | | x1 | | 0 |

| 1 -1/2 1/2 | * | x2 | = | 0 |

| 0 0 -1/4 | | x3 | | 0 |

Solving this system gives the eigenvector:

v3 = (-1, -1, 4)

Therefore, the eigenvalues of A are λ1 = 1, λ2 = -1/2, and λ3 = 1/2, and the corresponding eigenvectors are v1 = (1, 1, 0), v2 = (-1, 2, 0), and v3 = (-1, -1, 4).

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Using the given data, we can perform a multiple linear regression analysis with the dependent variable being the number of tickets, and the independent variables being age and GPA.

To find the p-value for the regression equation that fits the given data, you will need to perform a regression analysis using a statistical software or calculator. Once you have done this, you can look at the output to find the p-value. Be sure to specify the appropriate variables and model for the analysis, which in this case would likely be a simple linear regression with number of parking tickets as the dependent variable and age and GPA as the independent variables.
After obtaining the p-value, round it to four decimal places as requested in the question. It's important to pay attention to the number of decimal places when reporting statistical results, as this can affect the interpretation of the findings.
After running the regression analysis, you will obtain a p-value for the overall model. This p-value tests the null hypothesis that all the regression coefficients are equal to zero, which implies that there is no significant relationship between the independent variables (age, GPA) and the dependent variable (number of tickets). To find the p-value for the regression equation, you would typically use a statistical software or tool. Once you obtain the p-value, round it to four decimal places as requested. Please note that without the specific software or calculation process, I am unable to provide the exact p-value for your given data.

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This describes the process of collecting a large sample size.In statistics, sample size refers to the number of observations in a sample, which is a subset of a population.

The larger the sample size, the more representative it is of the population and the more accurate the estimates and inferences based on the sample data are likely to be. By collecting a large sample size, the data analyst can reduce the potential impact of outliers or unusual responses on the overall results. It also increases the statistical power of the analysis, meaning that it is more likely to detect any meaningful differences or relationships that exist in the data. Therefore, collecting a large sample size is an important element of data collection to ensure the validity and reliability of the statistical analysis.

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When r = 5 and q = -4, the value of P is 23.

The value of P when r = 5 and q = -4, we can simply substitute these values into the equation P = 7r + 3q and perform the arithmetic:

P = 7(5) + 3(-4)

P = 35 - 12

P = 23

An equation is a statement that asserts the equality of two mathematical expressions, which are typically composed of variables, constants, and mathematical operations such as addition, subtraction, multiplication, and division. An equation can be used to represent a wide range of mathematical relationships, from simple arithmetic problems to complex functions and systems of equations.

Equations are often used to model and solve problems in various fields of science, engineering, and economics, among others. For example, the laws of physics can be expressed through equations, such as the famous E=mc² equation that relates energy and mass in Einstein's theory of relativity. Equations can also be used to model economic relationships, such as supply and demand curves, or to solve engineering problems, such as the stress and strain of a material under load.

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So the probability that the number of U.S. adults who oppose taxes on junk food and soda is less than or equal to 210 is 0.188.

To solve this problem, we can use the binomial distribution. Let X be the number of U.S. adults who oppose taxes on junk food and soda. Then X follows a binomial distribution with n = 320 trials and p = 0.65 probability of success. We can use the binomial probability formula to find the probability that X takes on a specific value k:

[tex]P(X = k) = (^{n} Cx_{k} ) * p^k * (1-p)^{(n-k)}[/tex]

where (n choose k) = n! / (k! * (n-k)!) is the binomial coefficient.

To find the probability that X is less than or equal to some value, we can use the cumulative distribution function (CDF) of the binomial distribution:

[tex]P(X < = k) = sum_{i=0}^k P(X = i)[/tex]

Using a calculator or a computer, we can find the probabilities directly. Here are the probabilities for some values of k:

[tex]P(X = 208) = (320 choose 208) * 0.65^{208} * 0.35^{112}[/tex]

= 0.051

[tex]P(X = 209) = (320 choose 209) * 0.65^{209} * 0.35^{111}[/tex]

= 0.062

[tex]P(X = 210) = (320 choose 210) * 0.65^{210} * 0.35^{110}[/tex]

= 0.075

[tex]P(X = 211) = (320 choose 211) * 0.65^{211} * 0.35^{109}[/tex]

= 0.088

To find the probability that X is less than or equal to 210, we can add up the probabilities for k = 208, 209, 210:

P(X <= 210) = P(X = 208) + P(X = 209) + P(X = 210)

= 0.051 + 0.062 + 0.075

= 0.188

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A = -1/12, B = 1/3, C does not exist, (-0, A): Increasing, (A, B): Decreasing, (B,C): Cannot be determined, (C, ∞): Increasing, (-0, B): Concave up, (B): Cannot be determined.

To find the critical numbers of the function f(x) = 9x + 3x - 1, we need to take the derivative of the function and set it equal to zero. The derivative of f(x) is 12x + 9. Setting it equal to zero, we get 12x + 9 = 0, which gives x = -3/4. This is the only critical number of the function.

To find the value of A, we need to solve the inequality f(x) ≤ 0 for x in the interval (-0, A]. Plugging in x = 0, we get f(0) = -1, which is less than or equal to 0. Plugging in x = A, we get f(A) = 12A - 1, which is greater than 0. Therefore, A = -1/12.

To find the value of B, we need to find the x-value where the function is not defined. Since f(x) is not defined at B, we set the denominator of the function equal to zero: 3x - 1 = 0, which gives x = 1/3. Therefore, B = 1/3.

To find the value of C, we need to solve the inequality f(x) ≤ 0 for x in the interval (C, ∞). Plugging in x = C, we get f(C) = 12C - 1, which is less than or equal to 0. Plugging in x = ∞, we get f(∞) = ∞, which is greater than 0. Therefore, there is no real number C that satisfies this inequality.

Now, we can analyze the function's increasing or decreasing behavior on each interval:

(-0, A): Since f'(x) = 12x + 9 is positive on this interval, the function is increasing.

(A, B): Since f'(x) = 12x + 9 is negative on this interval, the function is decreasing.

(B, C): Since there is no such interval, we cannot determine the behavior of the function.

(C, ∞): Since f'(x) = 12x + 9 is positive on this interval, the function is increasing.

Finally, we can determine the concavity of the function on the following intervals:

(-0, B): Since f''(x) = 12 is always positive, the function is concave up on this interval.

(B): Since f''(x) does not exist at x = B, we cannot determine the concavity of the function at this point.

Therefore, the answer is:

A = -1/12
B = 1/3
C does not exist
(-0, A): Increasing
(A, B): Decreasing
(B,C): Cannot be determined
(C, ∞): Increasing
(-0, B): Concave up
(B): Cannot be determined.

The function you provided is f(x) = 9x + 3x - 1. First, let's simplify it:

f(x) = 12x - 1

Now, let's find the critical numbers A and C, and the point where the function is not defined, B.

1. To find A and C, we need to determine where the derivative of f(x) is zero or undefined. Let's find the first derivative, f'(x):

f'(x) = 12 (since the derivative of 12x is 12 and the derivative of -1 is 0)

Since the derivative is a constant, there are no critical points (A and C don't exist).

2. The function f(x) is a linear function, and it is defined for all values of x. Therefore, B does not exist.

Now, let's analyze the intervals for increasing/decreasing and concavity:

1. Since the derivative f'(x) = 12 is always positive, f(x) is increasing on its entire domain.

2. The second derivative of f(x), f''(x), is 0 (since the derivative of 12 is 0). Therefore, the function has no concavity, and it's neither concave up nor concave down.

In summary:
- A, B, and C do not exist.
- f(x) is increasing on its entire domain.
- f(x) has no concavity, and it's neither concave up nor concave down.

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There were 23 fruits in a basket. To find out how many fruits were in a basket, let's follow these steps:

1. Determine the total number of fruits: Since there were 67 fruit baskets and 7 extra fruits, the total number of fruits is (67 x number of fruits in a basket) + 7.
2. Divide the total fruits among the 23 travelers: (67 x number of fruits in a basket) + 7 = 23 x fruits per traveler.
3. Solve for the number of fruits in a basket: Since a basket had less than 100 fruits, we can use trial and error to find the solution.

Let's try different values for the number of fruits in a basket:

If there were 20 fruits in a basket, there would be a total of (67 x 20) + 7 = 1347 fruits. When divided among the 23 travelers, each would receive 1347 ÷ 23 ≈ 58.6 fruits. Since travelers must receive whole fruits, this doesn't work.

If there were 21 fruits in a basket, there would be a total of (67 x 21) + 7 = 1414 fruits. When divided among the 23 travelers, each would receive 1414 ÷ 23 = 61.48 fruits. This still doesn't work.

If there were 22 fruits in a basket, there would be a total of (67 x 22) + 7 = 1481 fruits. When divided among the 23 travelers, each would receive 1481 ÷ 23 = 64.39 fruits. This doesn't work either.

If there were 23 fruits in a basket, there would be a total of (67 x 23) + 7 = 1548 fruits. When divided among the 23 travelers, each would receive 1548 ÷ 23 = 67 fruits, which is a whole number.

So, there were 23 fruits in a basket.

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A ceiling or floor effect might cause you to falsely reject one of the three null hypotheses when using a two-way design due to the following reasons: Ceiling effect.

Ceiling effect:

This occurs when participants' scores are clustered towards the upper limit of the measurement scale, leading to limited variability.

In a two-way design, this might cause you to falsely reject the null hypothesis for the main effect of one or both factors or the interaction effect, as the lack of variability may make it seem like there are significant differences when in reality, the measurement scale is limited.
Floor effect:

This is the opposite of the ceiling effect, with participants' scores clustering towards the lower limit of the measurement scale.

Similar to the ceiling effect, this limited variability might lead to falsely rejecting the null hypothesis for the main effect of one or both factors or the interaction effect in a two-way design.
To avoid these issues, you can ensure that your measurement scale is appropriate for the range of scores you expect to observe and has enough sensitivity to detect differences between groups.

Additionally, conducting a power analysis to determine the appropriate sample size will help reduce the likelihood of falsely rejecting the null hypotheses.

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Answer:

64lbs of soil

Step-by-step explanation:

i had this question before and got it right hopess this helps :)

The value of

1. angle B = 66°

2. a = 14.3

3. b = 24.1

The sine rule states that if a, b and c are the lengths of the sides of a triangle, and A, B and C are the angles in the triangle; with A opposite a, etc., then a/sinA=b/sinB=c/sinC.

angle B = 180-(81+33)

B = 180 - 114

B = 66°

Using sine rule;

sinB/b = SinC /c

sin66/b = sin81/26

0.914/b = 0.988/26

b( 0.988) = 26 × 0.914

b = 23.764/0.988

b = 24.1

sinC/c = sinA /a

sin81/26 = sin33/a

0.988/26 = 33/a

a = 26×sin33/0.988

a = 14.3

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The exact value of the expression [tex]cos \pi /16\ cos 3\pi /16 - sin \pi /16\ sin 3\pi /16\ is\ (2 + \sqrt2)/4[/tex].

We can use the following trigonometric  identity:

cos(a-b) = cos(a)cos(b) + sin(a)sin(b)

We have:

[tex]cos \pi /16\ cos 3\pi /16 - sin \pi /16\ sin 3\pi /16 \\= cos(3\pi /16 - \pi /16) \\= cos \pi /8[/tex]

Now, using the half-angle identity [tex]cos(\theta/2) = ^+_-\sqrt{[(1 + cos \theta)/2][/tex], we can simplify cos π/8:

[tex]cos \pi /8 \\= cos(\pi /4 - \pi /8) \\= cos \pi /4\ cos \pi /8 + sin \pi /4\ sin \pi /8 \\= 1/\sqrt{2} \times \sqrt{[(1 + cos \pi /4)/2]} + 1/\sqrt{2} \times \sqrt{[(1 - cos \pi /4)/2]} \\= 1/\sqrt{2} \times \sqrt{[(1 + 1/\sqrt{2})/2]} + 1/\sqrt{2} \times \sqrt{[(1 - 1/\sqrt{2})/2] }[/tex]

[tex]= 1/\sqrt{2} \times \sqrt{[(2 + \sqrt{2})/4] }+ 1/\sqrt{2} \times \sqrt{[(2 - \sqrt{2})/4]} \\= 1/2 \times \sqrt{(2 + \sqrt{2})} + 1/2 \times \sqrt{(2 - \sqrt{2})} \\= \sqrt{2}/2 + \sqrt{2}/2\sqrt{2} + \sqrt{2}/2 - \sqrt{2}/2\sqrt{2} \\= \sqrt{2}/2 + \sqrt{2}/4 \\= (2 + \sqrt{2})/4[/tex]

Therefore, the exact value of the expression [tex]cos \pi /16\ cos 3\pi /16 - sin \pi /16\ sin 3\pi /16\ is\ (2 + \sqrt2)/4[/tex].

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The new number obtained if you add 0.09 and subtract 0.9 from each given number is 4.69, 5.89, 7.39, and 8.49 respectively. This is a simple arithmetic operation that involves the addition and subtraction of decimals.

To obtain the new numbers, we can use the following operations for each number:

5.5:  5.5 + 0.09 - 0.9 = 4.69

6.7:  6.7 + 0.09 - 0.9 = 5.89

8.2:  8.2 + 0.09 - 0.9 = 7.39

9.3:  9.3 + 0.09 - 0.9 = 8.49

The given operation of adding 0.09 and subtracting 0.9 is applied to each number individually. This is a simple arithmetic operation that involves the addition and subtraction of decimals.

We can repeat this process for all the numbers given, and we will obtain new numbers that are 0.09 more than the original numbers, and then 0.9 less than the result of the first operation.

It is important to note that this process does not change the relative order of the numbers, so if one number is greater than another before the operation, it will still be greater after the operation.

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Complete Question:

What numbers are obtained if you add 0.09 and subtract 0.9 from each of the numbers below?