help QUICK I HAVE 17 MIN LEFT WILL GIVE BRAINLIEST​

statistical calculations are important in risk management and insurance because they help to quantify and model risk, predict future outcomes, and manage risk effectively.

Variance is important in risk management and insurance because it helps to assess the volatility or fluctuation of returns, which is important in determining how much risk an individual or company is willing to take. Random Variable :Random variables are essential in risk management because they help to determine the probability of specific outcomes. This is particularly important for insurance companies that need to calculate premiums and manage risk on behalf of policyholders .Expected Value: Expected value is critical to risk management because it helps to calculate the average outcome of an event over a large number of trials. This helps to predict future outcomes and manage risk. Probability Distributions :Probability distributions are important in insurance and risk management because they help to quantify and model the likelihood of different outcomes and events. This is critical in assessing and managing risk. Standard Deviation :Standard deviation is important in risk management because it helps to measure the amount of variability or dispersion of data around the mean or expected value. This is important in determining the level of risk associated with an investment or policy decision .

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Wages: Employee compensation that is based on the number of hours work multiplied by the hourly rate of pay. Ex getting a pay of $15 a hour.

Salary: Employee compensation quoted on an annual basis. Ex getting a salary of $120,000 per year.

A wage is payment made by an emplοyer tο an emplοyee fοr wοrk dοne in a specific periοd οf time. Sοme examples οf wage payments include cοmpensatοry payments such as minimum wage, prevailing wage, and yearly bοnuses, and remunerative payments such as prizes and tip payοuts

BASED ON 2ND PIC

Tο avοid paying interest οn yοur credit card, yοu shοuld pay back all the amοunt yοu οwe οn οr befοre the due date mentiοned οn yοur credit card statement. Paying just the minimum balance οr paying a small amοunt like $20 may nοt be enοugh tο avοid the interest charges. It is impοrtant tο pay the entire amοunt due tο avοid interest charges and maintain a gοοd credit scοre. Nοt paying yοur credit card at all can lead tο seriοus financial cοnsequences and damage yοur credit scοre.

Thus, 3rd οptiοn is cοrrect, Pay back all yοu οwe

BASED ON 3RD PIC

Paying yοurself first means setting aside a fixed amοunt οr percentage οf yοur incοme fοr savings οr investment gοals befοre paying any οther bills οr expenses. This apprοach priοritizes saving and ensures that yοu are cοnsistently putting mοney tοwards yοur financial gοals. By dοing this, yοu are making yοur financial future a priοrity and building yοur savings οver time. It is a helpful habit fοr achieving financial stability and reaching yοur lοng-term financial gοals.

Thus, 1st οptiοn A is cοrrect, As sοοn as yοu receive yοur paycheck, put a fixed amοunt οr percentage οf yοur mοney directly intο yοur savings.

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Step-by-step explanation:

If sine theta is 3/5, taking the sine inverse will give you 36.87°.

4tan theta is 4 × tan36.87 = 3

3sin theta = 3 × sin36.87 = 1.8

6cos theta is 6× cos36.87 = 4.8

Therefore, it becomes 3 + 1.8 - 4.8 = 4.8 - 4.8

The answer is 0

Answer:

\( \boxed{\sf 0} \)

Given:

\( \sf sin \theta = \frac{3}{5} \)

To Find:

\( \sf 4tan \theta + 3sin \theta - 6cos \theta\)

Step-by-step explanation:

\(\sf As \ we \ know, \\ \sf sin 37 \degree = \frac{3}{5} \\ \\ \sf \therefore \ sin \theta = sin 37 \degree \\ \\ \sf \implies \theta = 37 \degree\)

\(\sf \implies tan \theta = \frac{3}{4} \\ \\ \sf \implies cos \theta = \frac{4}{5}

\)

\(\sf So, \\ \sf \implies 4tan \theta + 3sin \theta - 6cos \theta \\ \\ \sf Putting \ the \ values \ of \ tan \theta , sin \theta \ and \ cos \theta \ respectively: \\ \sf \implies ( 4 \times \frac{3}{ 4}) + (3 \times \frac{3}{5}) - (6 \times \frac{4}{5} ) \\ \\ 4 \times \frac{3}{ 4} = 3: \\ \sf \implies \boxed{3} + (3 \times\frac{3}{5}) - (6 \times \frac{4}{5} ) \\ \\ \sf 3 \times 3 = 9: \\ 3 + \frac{\boxed{9}}{5} - (6 \times \frac{4}{5} ) \\ \\ \sf 6 \times 4 = 24: \\ \sf 3 + \frac{9}{5} - \frac{\boxed{24}}{5} \\ \\ \sf Put \ 3 + \frac{9}{5} - \frac{24}{5} \ over \ the \ common \ denominator \ 5: \\ \sf \implies 3 \times \frac{5}{5} + \frac{9}{5} - \frac{24}{5} \\ \\ \sf \implies \frac{15}{5} + \frac{9}{5} - \frac{24}{5} \\ \\\sf \implies \frac{15 + 9 - 24}{5} \\ \\ \sf 15 + 9 = 24: \\ \sf \implies \frac{\boxed{24} - 24}{5} \\ \\ \sf 24 - 24 = 0: \\ \sf \implies \frac{\boxed{0}}{5} \\ \\ \sf \implies 0 \)

Answer:

The possible error made by Beth is directly multiplying scale of 5 to area of original triangle and getting area of enlarged triangle, which is wrong.

Step-by-step explanation:

Originally Triangle has height =3.5cm and width=4cm

Beth enlarged the same triangle by scale of 5 and calculate area of triangle

The area of triangle as given as A= $$\frac{1}{2} \texrm{ (base) (height)}$$

Area of original triangle is A =$$\frac{1}{2}(3.5 \times 4)$$

Since, The triangle is enlarged by scale of 5

New height =3.5x5 = cm and new width=4x5cm

Area of new triangle is

A' = $$\frac{1}{2} (\textrm{new width} ) ( \textrm{new height})$$

A' = $$\frac{1}{2}(3.5 \times 5)(4\times 5)$$

A' = $$\frac{1}{2}(3.5 \times 4)(5^{2})$$

A' = $$A (5^{2})$$

Now, Looking what error beth made is:

Beth found Area of new triangle is A' = $$\frac{1}{2}(3.5)(4)(5)$$

The possible error made by Beth is directly multiplying scale of 5 to area of original triangle and getting area of enlarged triangle, which is wrong.

Answer:

b

Step-by-step explanation:

Bayes' rule involves three main elements:

Prior Probability: The prior probability represents our initial belief or knowledge about the probability of an event or hypothesis before considering any new evidence. It is typically denoted as P(H), where H represents the hypothesis or event. The prior probability is based on previous experience, background information, or subjective assessments.

Likelihood of the Evidence: The likelihood is the probability of observing the given evidence (E) assuming that the hypothesis (H) is true. It is denoted as P(E|H), where P(E|H) represents the probability of the evidence E given the hypothesis H. The likelihood quantifies how well the hypothesis explains the observed data or evidence.

Posterior Probability: The posterior probability represents the updated probability of the hypothesis or event given the observed evidence. It is denoted as P(H|E), where P(H|E) represents the probability of the hypothesis H given the evidence E. The posterior probability is the main result of applying Bayes' rule and combines the prior probability with the likelihood of the evidence.

Mathematically, Bayes' rule is expressed as:

P(H|E) = (P(E|H) * P(H)) / P(E)

Here, P(H|E) is the posterior probability, P(E|H) is the likelihood, P(H) is the prior probability, and P(E) is the probability of the evidence.

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Bayes' rule involves three main elements:

Prior Probability:

The prior probability represents our initial belief or knowledge about the probability of an event or hypothesis before considering any new evidence. It is typically denoted as P(H), where H represents the hypothesis or event.

The prior probability is based on previous experience, background information, or subjective assessments.

Likelihood of the Evidence:

The likelihood is the probability of observing the given evidence (E) assuming that the hypothesis (H) is true. It is denoted as P(E|H), where P(E|H) represents the probability of the evidence E given the hypothesis H.

The likelihood quantifies how well the hypothesis explains the observed data or evidence.

Posterior Probability:

The posterior probability represents the updated probability of the hypothesis or event given the observed evidence. It is denoted as P(H|E), where P(H|E) represents the probability of the hypothesis H given the evidence E.

The posterior probability is the main result of applying Bayes' rule and combines the prior probability with the likelihood of the evidence.

Mathematically, Bayes' rule is expressed as:

P(H|E) = (P(E|H) * P(H)) / P(E)

Here, P(H|E) is the posterior probability, P(E|H) is the likelihood, P(H) is the prior probability, and P(E) is the probability of the evidence.

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Given:

5× ______ = - 35

• -35/5

• -7

5 x -7 = -35

Answer:

The answer is 7

Step-by-step explanation:

Divide each term in 5x=-35 by 5 and simplify.x=−7

The intersection of this sphere with the -plane is (y+6)²+(z-4)²=21

The equation of a sphere centered at (h,k,l) and radius r is given by:

(x−h)²+(y−k)²+(z−l)²=r²

where x,y, and z represent the coordinates of the points on the surface of the surface.

so if the center is (-3,2,5) and radius r=4 then we can plug the values in the above formula:

consider the points  h=-3 k=2 l=5 and r=4.

(x−(-3))²+(y−2)²+(z−5)²=4²

(x+3)²+(y−2)²+(z−5)²=16.

If the sphere intersects the yz-plane then x=0

The resulting equation is an equation of a circle with a radius r=√21

and at the center with (6,-4) on the yz-plane

with yx-plane:

⇒(x−2)²+(y+6)²+(z−4)²=25

⇒ (0−2)²+(y+6)²+(z−4)²=25

⇒4+(y+6)²+(z−4)²=25

⇒(y+6)²+(z−4)²=25-4

⇒(y+6)²+(z−4)²=21

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Answer:

tan theta - cot theta

Step-by-step explanation:

sin/cos = tan

cos/sin = cot

In the scenario where a custom object is the detail object in a master-detail relationship with Account, the Organization-Wide Default (OWD) setting for the custom object would be controlled by the OWD setting of the master object, which is Account.

In Salesforce, the Organization-Wide Default (OWD) setting determines the default level of access for records of an object within an organization. When a custom object is set as the detail object in a master-detail relationship with Account, the OWD setting for the custom object will be controlled by the OWD setting of the master object, which is Account in this case.

The OWD setting for Account will dictate the level of access for the related records of the custom object. For example, if the OWD setting for Account is set to "Private," the related records of the custom object will also inherit the "Private" access level. This means that only users with appropriate sharing interest, such as those assigned to Account roles or sharing rules, will have access to the related records of the custom object.

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What is TRUE about the Organization-Wide Default (OWD) setting for the custom object in a master-detail relationship with Account?

Step-by-step explanation:

b=

180-40=2b

b=70°

a= 180-90-70

a=20°

The measure of central tendency that is used by the professor is; Mode

A measure of central tendency is defined as a single value that attempts to describe a set of data by identifying the central position within that set of data. The types of measures of central tendency are;

1) Mean; This is defined as the average value of a given set of data.

2) Median: This is defined as the midpoint of a frequency distribution of observed values or quantities, such that there is an equal probability of falling above or below it.

3) Mode: This refers to the value in a given set of data that has highest occurrence frequency.

In this case, the professor notes that most students in his class earned a grade of b. Thus, this is the mode.

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Answer:

$30.64 +6% tax and 18% tip

Step-by-step explanation:

Hope it helps

The value of c in the equation is c = 5/9(F - 32)

The equation is given as:

F= (9/5)c +32

Subtract 32 from both sides

(9/5)c = F - 32

Multiply by 5/9

c = 5/9F - 5/9 * 32

This gives

c = 5/9(F - 32)

Hence, the value of c in the equation is c = 5/9(F - 32)

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The calculated volume of the model space is 1657.92 cubic inches

From the question, we have the following parameters that can be used in our computation:

The model space made from:

The volume of the model space is calculated as

Volume = Cone + Cylinder + Hemisphere

Using the volume formulas, we have

Volume = 1/3πr²h + πr²h + 2/3πr³

Substitute the known values in the above equation, so, we have the following representation

Volume = 1/3 * 3.14 * 6² * 8 + 3.14 * 6² * 8 + 2/3 * 3.14 * 6³

Evaluate

Volume = 1657.92

Hence, the volume of the model space is 1657.92 cubic inches

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Answer:

65

Step-by-step explanation:

Triangles are 180 degrees in total. If you add the degrees that are known, 62 and 53, you get 115. Then you would do 180-115, which is 65. 65 would be the value of x. Hope this helps!

answer

°

61°

Step-by-step explanation:

The measure of ∠MOP=61°.

A straight angle is an angle which measures 180°.

So according to the question,

∠MON is a straight angle.

⇒m∠MON=180°

∠QON=58° (according to the figure)

OP bisects ∠MOQ,

then OP makes ∠MOQ into two equal angles i.e. ∠MOP and ∠POQ:

∠MOP=∠POQ=∠MOQ/2  -----equation-1

As OQ divides ∠MON into two angles ∠MOQ and ∠QON. So,

m∠MOQ+m∠QON=m∠MON

⇒m∠MOQ+58°=180°

⇒m∠MOQ=180°-58°

⇒m∠MOQ=122°

Replacing ∠MOQ by 122° in the equation-1

m∠MOP=m∠POQ=m∠MOQ/2=122°/2

⇒m∠MOP=m<POQ=61°

Therefore the measure of ∠MOP=61°.

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The area of the region is  rectangles

The given curves are y = x2 and y = 2 − x2. They intersect at x = 1, y = 1. See the graph below. The shaded region enclosed by the curves is the region whose area we wish to find.To find the area of the shaded region,

The left part of the region is the part bounded by the x-axis, the curve y = x2, and the line x = 1. This region is shown below. To find the area of this region, we integrate with respect to y from y = 0 to y = 1. Along the curve y = x2, the values of x are ± y1/2. So we have to integrate from x = −y1/2 to x = 1.

Thus the area of the right part of the region isThus the total area of the shaded region is Approximating rectangle The area of each approximating rectangle is given by height times width. Since we are dividing the region into two parts we

A typical rectangle is shown below. The value of x corresponding to the lower end of the rectangle is x = −y1/2 and the value of x corresponding to the upper end of the rectangle is x = 1. So the height of the rectangle is x2 and the width is Δy = 1/n. Therefore, the area of the rectangle isSince the rectangle is located below the curve, this approximation underestimates the true area of the region.

 Therefore, the area of the rectangle is Since the rectangle is located above the curve, this approximation overestimates the true area of the region. By computing the sum of the areas of all the approximating rectangles and taking the limit as n approaches infinity, we can find the exact area of the region.

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Answer:

216 and 64

Step-by-step explanation:

Answer:

1 ) Yes

2) No

perfect cubes are 216 and 64

³√64=4 } not have fraction so it's perfect cubes

³√216=6 } not have fraction so it's perfect cubes

Hope this helps

We need to use mathematical logic to prove that the cardinality of the cross product of two sets is the cardinality of each individual set multiplied by each other.

     Let's take an example of two sets A and B.

      Let's say, A={a, b} and B={1, 2, 3}

      To find the cardinality of the cross-product of A and B, we need to make all possible ordered pairs with A and B.

             {(a, 1), (a, 2), (a, 3), (b, 1), (b, 2), (b, 3)}

 Counting the number of ordered pairs, we get six.

  So, the cardinality of the cross-product of two sets A and B equals the cardinality of each set multiplied by the other. Here,

           |A| = 2 and |B| = 3,

          so |A x B| = 2 x 3

                           = 6.

          Therefore, it is proved that the cardinality of the cross product of two sets is the cardinality of each individual set multiplied by each other.

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If the parallelogram is rotated 270° about the origin. Then the coordinate of the image will be (1,-2), (1,-7), (-3, -6), and (-3, -1).

Coordinate geometry is the study of geometry using the points in space. Using this, it is possible to find the distance between the points, the dividing line is m:n ratio, finding the mid-point of the line, etc.

Parallelogram JKLM has vertices J(2, 1), K(7, 1), L(6, −3), and M(1, −3).

If the parallelogram is rotated 270° about the origin. Then the coordinate of the image will be

J(2, 1) → (1, -2)

K(7, 1) → (1, -7)

L(6, −3) → (-3, -6)

M(1, −3) → (-3, -1).

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Answer:

what are the answer choices. List them out and do the process of elimination and we could go from there ig

Step-by-step explanation:

The main difference between end behavior of a quadratic and cubic function is as x approaches the negative infinity quadratic function goes to positive infinity and cubic function goes to negative infinity

What is the end behavior of the function?

The end behavior of the function means how function behaves when x approaches to ±∞

In case of an quadratic function when we substitute  ±∞ the values approaches to positive infinity And in case of the cubic function the value approaches to negative infinity

This is the difference

Hence end behavior of a quadratic  is as x approaches the negative infinity quadratic function goes to positive infinity and in cubic function goes to negative infinity

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12. MATLAB code: `f = (-3*t.^2 + 5*t + 20).*(t < 0) + (3*t.^2 + 5*t).*(t >= 0)`

13. MATLAB function: `function random_values = UniGen(n, a, b); random_values = (b - a) * rand(n, 1) + a; end`

MATLAB code to calculate f(t) using the given equation:

t = -9:0.5:9; % Generate values of t from -9 to 9 in steps of 0.5

f = zeros(size(t)); % Initialize f(t) vector

for i = 1:numel(t)

   if t(i) < 0

       f(i) = -3*t(i)^2 + 5*t(i) + 20;

   else

       f(i) = 3*t(i)^2 + 5*t(i);

   end

end

% Display the results

disp('t    f(t)');

disp('--------');

disp([t' f']);

```

This code generates values of `t` from -9 to 9 in steps of 0.5 and calculates `f(t)` based on the given equation. The results are displayed in a tabular format showing the corresponding values of `t` and `f(t)`.

13. MATLAB function UniGen to generate uniformly distributed random values:

function random_values = UniGen(n, a, b)

   % n: Number of random values to generate

   % a: Start of the interval

   % b: End of the interval

   random_values = (b - a) * rand(n, 1) + a;

end

This MATLAB function named `UniGen` generates `n` random values that are uniformly distributed on the interval `[a, b]`. It utilizes the `rand` function to generate random values between 0 and 1, which are then scaled and shifted to fit within the specified interval `[a, b]`. The generated random values are returned as a column vector.

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Answer:

I put 9y=6x

Step-by-step explanation:

I say this because I’ve put all points in on Desmos graph and this is the best answer choice to me dk if I’m right .

Answer:

See attached

Step-by-step explanation:

Refer to attachment

One relation is a linear function

Second one is a graph of non-functional relation

Answer:

below

Step-by-step explanation:

For the first graph, we can use a linear function as it means "straight" lines so when we use the vertical lines test, it passes it (shown below).

We can use a U shaped line so it when we use the vertical line test, it passes through two points to resemble its not a function (shown below).

Best of Luck!

Answer

Buy 2, get 2 free and/or 1/2 off

Step-by-step explanation:

OK, lets say that the tire price was 15. (l)= 15+15=30 (ll)= 15/45%= 33.33x4=133.32 (lll)= 15/2=7.5   7.5x4=30

Answer:

108π mm.

Step-by-step explanation:

The hour hand makes a full circle of 12 hr, in 45 min=0.75 hours it will will have made 0.75/12 of a full circle. Given that the tip of the hour hand travels along the circumference of a circle, the radius of circle will be equal to the lenth of the hand.  

But:

circumference is given by:

C=2*π*radius

The distance traveled by the hand in 12 hours will be:

2**36=76π mm

The distance traveled in 45 min will be:

0.75/12 *72π=4.5π mm

in 45min, the min hand will make 45/60=3/4 of a full circle. If the min hand is 150% of the hour hand, then its length is 150/100*36=54 mm.

Thus the tip of the minute will travel along the entire circuference of a circle with a 54 mm radius, this implies that for a full circle we shall have:

2*π*54mm=108π mm.

Hence;

in 45 min, the tip of the minute hand will have traveled 108*3/4*π=81π mm

Please make the questions more clear

____________________________________________________________

Answer:

could you make the question more understandable?

Step-by-step explanation:

sorry