Find the absolute maximum and absolute minimum values of the function on the given interval :
f(x) = 12 + 4x - x2 Interval [0,5]

A is an n x n diagonal matrix with rank r , where rsn  and the statement (a)"O is an eigenvalue with algebraic muitiplicity n-r "  about A is true

Since A is an n x n diagonal matrix with rank r, the number of non-zero entries on the diagonal is r. This means that there are n - r zero entries on the diagonal.

For any diagonal matrix, the eigenvalues are simply the entries on the diagonal. Since there are n - r zero entries, the eigenvalue O has a geometric multiplicity of n - r.

Therefore, the correct statement is that O is an eigenvalue with geometric multiplicity n - r.

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To determine the exact concentration of the solution made, one can divide the mass of the solute with the volume of the solution.

A solution is the substance formed by the mixture of solute in solvent. The solute may or may not be dissolved in the solution. One can determine the exact concentration of the solution if the mass of solute added in the specific volume of solution is known. If the solution is made by someone else, then its concentration can be determined by process of titration.

The concentration of a solution is expressed in the form of moles or grams per unit liter. If the solution is unknown and only its dissolved chemical is known, then titration will help in determining the closest value of concentration if performed without human error. In titration, the use of glassware that that is more precise than the flasks, beakers, and graduated cylinders are used.

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Refer to complete question below:

How do we determine concentration a solution? If it is a solution that we have made up, we can readily do the calculations required. But what if it is a solution that someone else has made? What technique can be used to gather information about a solution that we are given with no other information than the name of the chemical dissolved.

Answer: -5t + 23= 18

Step-by-step explanation: 18 + -3 + -5t + 8 =

(-5t ) + (18 + -3 + 8) = -5t + 23 → 18

Answer:

C.

explanation:

I just know.

Answer:

c

Step-by-step explanation:

y=-8x

Answer:

Step-by-step explanation:

The distance between two points can be found by using the formula

\(d = \sqrt{ ({x1 - x2})^{2} + ({y1 - y2})^{2} } \\ \)

where

(x1 , y1) and (x2 , y2) are the points

From the question the points are

(-4,-1) and (-3,-1)

The distance between them is

\(d = \sqrt{ ({ - 4 + 3})^{2} + ({ - 1 + 1})^{2} } \\ = \sqrt{ ({ - 1})^{2} } \\ = \sqrt{1} \)

We have the final answer as

1 unit

Hope this helps you

Answer:

16

Step-by-step explanation:

6q-12=84

    6q=96

      q=16

Answer:

q = 16

Step-by-step explanation:

First Step: Add 12 to both sides. giving you 96.

Second Step: Divide both sides by 6 giving you 16.

Solution: q = 16.

Answer:

13,188

Step-by-step explanation:

14 × 942

That will give you 13,188

Answer:

a) 33289

b) £131.88

Step-by-step explanation:

→ To find the meter reading add the July reading to the units used

32347 + 942 = 33289

→ Multiply the unit price by the units used

0.14 × 942 = 131.88

Answer:

10

Step-by-step explanation:

cause ten minus six is 4

Answer:

p = -10

Step-by-step explanation:

\(\frac{p+1}{2} = \frac{3p+7}{5}\) cross multiply fractions

6p + 14 = 5p + 5

6p - 5p = 5 - 15 subtract like terms

p = - 10

Answer:

I belive that the correct answer is 32. hope this helps mark me as brianliest????

Step-by-step explanation:

Answer:

missing constant is 36

Step-by-step explanation:

x²-12x+36

because 12x= 2*√x²*√36

so 36 is missing constant

and there is easier way (12/2)² = 36

Answer:

30

Step-by-step explanation:

180 - 130 = 50 - 20 = 30 so only 30 can come hope it helps

Step-by-step explanation:

To identify how long each desk is, divide 27 feet by the 12 desks. (Given values)

\(\frac{27}{12} = 2\frac{1}{4}\) \(or\) \(2.25\)

Each desk is 2.25 ft long.

Check:

\(2.25 \times 12 = 27\)

Correct.

Using the normal distribution, the probability that a single randomly selected value is less than 971 dollars is 0.2123.

In the given question,

CNNBC recently reported that the mean annual cost of auto insurance is 1007 dollars.

The standard deviation is 241 dollars.

We take a simple random sample of 99 auto insurance policies.

We have to find the probability that a single randomly selected value is less than 971 dollars.

From the question,

Mean = 1107 dollars

Standard Deviation = 241 dollars

So the probability that a single randomly selected value is less than 971 dollars.

Using the normal distribution

z = (x−mean)/Standard Deviation

P(x<971) = P(z<(973−1107)/241)

Simplifying

P(x<971) = P(z<(−134)/241)

P(x<971) = P(z<−0.56)

P(x<971) = 0.2123

Hence, the probability that a single randomly selected value is less than 971 dollars is 0.2123.

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Answer:

8.9 units

Step-by-step explanation:

sqrt[(x2-x1)^2+(y2-y1)^2]

sqrt[8^2+4^2]

sqrt(80)

8.9 units

Answer:

P = 128 Post

Step-by-step explanation:

Total post needed = 216 posts

Number of post Jerry has = 88 posts

Number of posts jerry still needs = P

Total = Number of post Jerry has + Number of posts jerry still needs

216 = 88 + P

216 - 88 = P

128 = P

P = 128 Post

Answer:

12.5 inches

Step-by-step explanation:

Given the equation for the cross section of a parabolic satellite TV dish:

y=1/50x^2

Equation of a parabola :

(y - k) = 1/4p * (x - h)^2

Distance of the focus from the Vertex = p

Comparing both equations :

1/4p * (x - h)^2 = 1/50 * x^2

4p = 50

Divide both sides by 4

4p/4 = 50/4

p = 12.5 inches

The total cost of the principal and interest after 30 years is $788,489.94 (approx). The correct option is D. $788,489.94.

Here, Principal = $315,000

Interest rate = 7.35%

Term of mortgage = 30 years

Total cost of the principal and interest can be found using the formula; T = (P x (r/n) x (1 + r/n)(n x t))/(1 + r/n)(n x t) - 1

Where, T = Total cost of the principal and interest

P = Principal

r = Rate of interest per annum

n = Number of payments per year

T = Term of the mortgage

In this question, P = $315,000

r = 7.35%/yr = 0.0735/y

rn = 12/yr (12 monthly payments in a year)

t = 30 years

Substituting all the values in the formula, T = ($315,000 x (0.0735/12) x (1 + 0.0735/12)(12 x 30))/(1 + 0.0735/12)(12 x 30) - 1≈ $788,489.94

Hence, D is the correct option.

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The scale factor was used for each dilation are-

A transformation that changes the size of a figure is called a dilatation. This indicates that the preimage as well as image are similar and have been scaled up or down, respectively.

A dilatation that results in a reduction (imagine shrinking) or an enlargement (think stretching) produces a smaller or larger image, respectively.

Part a: For ΔABC

Length AB = 2 units

Length A'B' = 4 units

A'B' = 2 *AB

Thus,  For ΔABC - scale factor = 2

Part b: For ΔDEF -

Length DF = 2 units

Length D'F' = 1  units

D'F' = 1/2 DF

Thus, For ΔDEF - scale factor = 1/2

Part c: For ΔGHJ -

Length GH = 3 units

Length G'H' = 1  units

G'H' = 1/3 GH

Thus,  For ΔGHJ - scale factor = 1/3

Part d: For ΔKML -

Length KM = 2 units

Length K'M' = 6  units

K'M' = 3*KM

Thus, For ΔKML - scale factor = 3

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a) PMF of X(10) = C(10, 10) * (0.2)¹⁰ * (0.8)⁰

b) The probability of scoring no hits is the probability of X being 0.

c) The probability of scoring more hits than misses is the probability of X being greater than 5

d) E(X) = 10 * 0.2 and Var(X) = 10 * 0.2 * (1 - 0.2).

e) The expectation of Y: E(Y) = E(2X - 3) = 2E(X) - 3

The variance of Y: Var(Y) = Var(2X - 3) = 4Var(X)

f) The expectation of Z: E(Z) = E(X²)

What is probability?

Probability is a measure or quantification of the likelihood of an event occurring. It is a numerical value assigned to an event, indicating the degree of uncertainty or chance associated with that event. Probability is commonly expressed as a number between 0 and 1, where 0 represents an impossible event, 1 represents a certain event, and values in between indicate varying degrees of likelihood.

(a) To calculate the Probability Mass Function (PMF) of X, we can use the binomial distribution formula. Since the marksman takes 10 shots independently with a probability of 0.2 of hitting the target, the PMF of X follows a binomial distribution with parameters n = 10 (number of trials) and p = 0.2 (probability of success):

PMF of \(X(x) = C(n, x) * p^x * (1 - p)^{(n - x)}\)

Where C(n, x) represents the number of combinations or "n choose x."

Let's calculate the PMF for each value of X from 0 to 10:

PMF of X(0) = C(10, 0) * (0.2)⁰ * (0.8)¹⁰

PMF of X(1) = C(10, 1) * (0.2)¹ * (0.8)⁹

PMF of X(2) = C(10, 2) * (0.2)² * (0.8)⁸

...

PMF of X(10) = C(10, 10) * (0.2)¹⁰ * (0.8)⁰

(b) The probability of scoring no hits is the probability of X being 0. So we calculate PMF of X(0):

PMF of X(0) = C(10, 0) * (0.2)⁰ * (0.8)¹⁰

(c) The probability of scoring more hits than misses is the probability of X being greater than 5. We need to calculate the sum of PMF of X from X = 6 to X = 10:

PMF of X(6) + PMF of X(7) + PMF of X(8) + PMF of X(9) + PMF of X(10)

(d) The expectation (mean) of X can be found using the formula:

E(X) = n * p

where n is the number of trials and p is the probability of success. In this case, E(X) = 10 * 0.2.

The variance of X can be calculated using the formula:

Var(X) = n * p * (1 - p)

In this case, Var(X) = 10 * 0.2 * (1 - 0.2).

(e) To calculate the expectation and variance of Y, we need to consider the profit from each hit. Each hit earns $2, and since X represents the number of hits, Y can be calculated as:

Y = 2X - 3

The expectation of Y can be calculated as:

E(Y) = E(2X - 3) = 2E(X) - 3

To calculate the variance of Y, we can use the property Var(aX + b) = a²Var(X) when a and b are constants:

Var(Y) = Var(2X - 3) = 4Var(X)

(f) Similarly, for Z, each hit earns a dollar amount equal to the square of the number of hits:

Z = X²

The expectation of Z can be calculated as:

E(Z) = E(X²)

Hence, a) PMF of X(10) = C(10, 10) * (0.2)¹⁰ * (0.8)⁰

b) The probability of scoring no hits is the probability of X being 0.

c) The probability of scoring more hits than misses is the probability of X being greater than 5

d) E(X) = 10 * 0.2 and Var(X) = 10 * 0.2 * (1 - 0.2).

e) The expectation of Y: E(Y) = E(2X - 3) = 2E(X) - 3

The variance of Y: Var(Y) = Var(2X - 3) = 4Var(X)

f) The expectation of Z: E(Z) = E(X²)

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a) PMF of X(10) = C(10, 10) * (0.2)¹⁰ * (0.8)⁰

b) The probability of scoring no hits is the probability of X being 0.

c) The probability of scoring more hits than misses is the probability of X being greater than 5

d) E(X) = 10 * 0.2 and Var(X) = 10 * 0.2 * (1 - 0.2).

e) The expectation of Y: E(Y) = E(2X - 3) = 2E(X) - 3

The variance of Y: Var(Y) = Var(2X - 3) = 4Var(X)

f) The expectation of Z: E(Z) = E(X²)

What is probability?

Probability is a measure or quantification of the likelihood of an event occurring. It is a numerical value assigned to an event, indicating the degree of uncertainty or chance associated with that event. Probability is commonly expressed as a number between 0 and 1, where 0 represents an impossible event, 1 represents a certain event, and values in between indicate varying degrees of likelihood.

(a) To calculate the Probability Mass Function (PMF) of X, we can use the binomial distribution formula. Since the marksman takes 10 shots independently with a probability of 0.2 of hitting the target, the PMF of X follows a binomial distribution with parameters n = 10 (number of trials) and p = 0.2 (probability of success):

PMF of

Where C(n, x) represents the number of combinations or "n choose x."

Let's calculate the PMF for each value of X from 0 to 10:

PMF of X(0) = C(10, 0) * (0.2)⁰ * (0.8)¹⁰

PMF of X(1) = C(10, 1) * (0.2)¹ * (0.8)⁹

PMF of X(2) = C(10, 2) * (0.2)² * (0.8)⁸

......

PMF of X(10) = C(10, 10) * (0.2)¹⁰ * (0.8)⁰

(b) The probability of scoring no hits is the probability of X being 0. So we calculate PMF of X(0):

PMF of X(0) = C(10, 0) * (0.2)⁰ * (0.8)¹⁰

(c) The probability of scoring more hits than misses is the probability of X being greater than 5. We need to calculate the sum of PMF of X from X = 6 to X = 10:

PMF of X(6) + PMF of X(7) + PMF of X(8) + PMF of X(9) + PMF of X(10)

(d) The expectation (mean) of X can be found using the formula:

E(X) = n * p

where n is the number of trials and p is the probability of success. In this case, E(X) = 10 * 0.2.

The variance of X can be calculated using the formula:

Var(X) = n * p * (1 - p)

In this case, Var(X) = 10 * 0.2 * (1 - 0.2).

(e) To calculate the expectation and variance of Y, we need to consider the profit from each hit. Each hit earns $2, and since X represents the number of hits, Y can be calculated as:

Y = 2X - 3

The expectation of Y can be calculated as:

E(Y) = E(2X - 3) = 2E(X) - 3

To calculate the variance of Y, we can use the property Var(aX + b) = a²Var(X) when a and b are constants:

Var(Y) = Var(2X - 3) = 4Var(X)

(f) Similarly, for Z, each hit earns a dollar amount equal to the square of the number of hits:

Z = X²

The expectation of Z can be calculated as:

E(Z) = E(X²)

Hence, a) PMF of X(10) = C(10, 10) * (0.2)¹⁰ * (0.8)⁰

b) The probability of scoring no hits is the probability of X being 0.

c) The probability of scoring more hits than misses is the probability of X being greater than 5

d) E(X) = 10 * 0.2 and Var(X) = 10 * 0.2 * (1 - 0.2).

e) The expectation of Y: E(Y) = E(2X - 3) = 2E(X) - 3

The variance of Y: Var(Y) = Var(2X - 3) = 4Var(X)

f) The expectation of Z: E(Z) = E(X²)

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The volume of A cylindrical well has a radius of 8 feet and a height of 13 feet will be 2612.48 feet³ as the definition of volume says, "The space occupied within an object's boundaries in three dimensions is referred to as its volume. It is also referred to as the object's capacity."

Each object in three dimensions takes up some space. The volume of this area is what is being measured. The space occupied within an object's boundaries in three dimensions is referred to as its volume. It is also referred to as the object's capacity.

Here,

Volume=πr²h

r=8 feet

h=13 feet

Volume=π*8²*13

π=3.14

volume=3.14*64*13

volume=2612.48 feet³

According to the definition of volume, a cylindrical well with a radius of 8 feet and a height of 13 feet will have a volume of 2612.48 feet³  "The volume of an object is the area occupied within its three-dimensional boundaries. It is additionally known as an object's capacity."

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Answer:

4 and 6

Step-by-step explanation:

since it has a diameter of 9, that means its radius is half that, or 4.5.

\(\textit{volume of a cone}\\\\ V=\cfrac{\pi r^2 h}{3}~~ \begin{cases} r=radius\\ h=height\\[-0.5em] \hrulefill\\ r=4.5\\ h=7 \end{cases}\implies V=\cfrac{\pi (4.5)^2(7)}{3}\implies V=47.25\pi\)

Answer:

Step-by-step explanation:

r= the radius of base

h=height

volume of cone=1/3*r^2*pi*h

1/3*(4.5)^2*pi*7

=1/3*81/4*7*pi

=567/12 pi

To calculate the probability of two separate events using the ratio method, we must first understand the odds associated with each event. The odds are expressed as a ratio, with the first number representing the chances of success and the second number representing the chances of failure. For example, the odds of an event happening might be 3:2, which indicates that there is a 3/5 chance of success.

Once the odds for each event are known, we can calculate the probability of both events occurring by multiplying the odds of each event together. So, for example, if the odds of Event A are 3:2 and the odds of Event B are 4:5, the probability of both events occurring is 3/2 * 4/5 = 6/10. This means that there is a 6 in 10 chance of both events occurring.

To sum up, calculating the probability of two separate events using the ratio method is fairly simple. Just look at the odds associated with each event and multiply them together to get the probability of both events occurring.

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Answer:

Step-by-step explanation:

For the first line, you are copying the dimensions from the figure to the blanks. The dimensions on the figure are (4a +1), and (8), both in centimeters. When you have filled in that line, it will read ...

  2((4a +1) +8) cm

__

For the second line, you must collect terms and use the distributive property to eliminate parentheses from the above expression.

  2((4a +1) +8) cm = 2(4a +9) cm = 2(4a) +2(9) cm

  = 8a +18 cm

__

The third line simply sets this expression equal to the given perimeter, 42:

  8a +18 = 42

_____

Additional comment

To solve this equation, you can subtract 18 from both sides:

  8a +18 -18 = 42 -18

  8a = 24 . . . . . . . . . . . simplify

Then divide both sides by 8.

  8a/8 = 24/8

  a = 3

Finally, the length of the rectangle is ...

  4a +1 = 4(3) +1 = 12 +1 = 13

The rectangle is 13 cm long and 8 cm high. Its perimeter is ...

  2(13 +8) = 2(21) = 42 . . . cm

Answer:

A=31.5cm squared

Step-by-step explanation:

A=lw

A=(9)(3.5)

A=31.5

therefore A=31.5cm squared

Answer:

31.5 cm

Step-by-step explanation:

Just multiply the length and width

The system of equations that matches the given graph is:

A. 3x - 6y = 12

9x - 18y = 36

To determine which system of equations matches a given graph, we need to analyze the slope and intercepts of the lines in the graph.

Looking at the options provided:

A. 3x - 6y = 12

9x - 18y = 36

B. 3x + 6y = 12

9x + 18y = 36

Let's analyze the equations in each option:

For option A:

The first equation, 3x - 6y = 12, can be rearranged to slope-intercept form: y = (1/2)x - 2.

The second equation, 9x - 18y = 36, can be simplified to 3x - 6y = 12, which is the same as the first equation.

In option A, both equations represent the same line, as they are equivalent. Therefore, option A does not match the given graph.

For option B:

The first equation, 3x + 6y = 12, can be rearranged to slope-intercept form: y = (-1/2)x + 2.

The second equation, 9x + 18y = 36, can be simplified to 3x + 6y = 12, which is the same as the first equation.

In option B, both equations also represent the same line, as they are equivalent. Therefore, option B does not match the given graph.

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Rita served 20 people with 55 pancakes.

we can solve the problem by setting a simple proportion.

We know that 22 pancakes can feed 8 people, so we have to find the number x which corresponds to the number of people that can be feeded with 55 pancakes:

22 : 8 = 55 : x

solving the proportion, we find:

x = 55 × 8/22

x = 20

So, 55 pancakes can feed 20 people.

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Answer:

     \(\frac{16}{25}\)

Step-by-step explanation:

\(\frac{5*(\frac{4}{5})^{2}*\frac{3}{5} }{3}\)

= \(\frac{\frac{5}{1} *\frac{16}{25}*\frac{3}{5} }{3}\)

= \(\frac{\frac{5*16*3}{1*25*5} }{3}\)

= \(\frac{\frac{240}{125} }{3}\)

= \(\frac{\frac{48}{25} }{3}\)

= \(\frac{48}{25} /\frac{3}{1}\)

= \(\frac{48}{25} *\frac{1}{3}\)

= \(\frac{48*1}{25*3}\)

= \(\frac{48}{75}\)

= \(\frac{16}{25}\)