Bryan was told to expect to have 10 interviews with different companies before being offered a job.
Over a period of weeks, he has 30 job interviews. How many job offers should he expect to receive?

Answer:

uh what do you want help with?? id be happy to help:D

Step-by-step explanation:

Answer: 4 years

Step-by-step explanation:

Your question isn't complete but I believe that you want to calculate the number of years. This will be:

Simple Interest = PRT/100

where,

Interest = 864 - 800 = 64

Principal = 800

Rate = 2%

Therefore, 64 = 800 × 2 × T /100

Cross multiply

64 × 100 = 1600T

6400 = 1600T

T = 6400/1600

T = 4

Therefore, time will be 4 years

If the probability of rain is P, because there are only two outcomes, we know that the probability that will not rain is 1 - P

Let's say that the probability of rain tomorrow is P. There are two possible events here:

Then the second event is the negation of the first (Thus the probability is the composition), and notice that one of these events will happen, then the sum of the probabilities must be 1, then the probability that tomorrow will not rain is:

probability of not rain = 1 - P

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Answer:

Step-by-step explanation:

To find the length of the pole, use Pythagorean theorem,

4.6m = 4.6*100 = 460 cm

hypotenuse² = base² + altitude²

altitude² = hypotenuse² - base²

               =460² - 280²

               =  211600 - 78400

               = 133200

altitude = √133200 = 364.97 cm

Length of the pole = 364.97 cm

b) Length of stair² = 95² + 364*94²

                              = 9025 + 133200

                              = 142225

Length of stair= √14225 = 377.13

Length of stair = 377.13 cm

Answer:

4.25

Step-by-step explanation:

Answer:

The answer is 17.

Step-by-step explanation:

-14 7/8 divided by 1 3/4 is -8 1/2. -8 1/2 divided by - 1/2 is 17.

Answer:

The answer is A

Step-by-step explanation:

If there are 2.2 in 1 kilogram and you are trying to find out how many are in many kilograms then you multiply.

Hopefully this helps you :)

pls mark brainlest ;)

The expression that represents the pound of weight in x kilogram can be written as 2.2x, where x represents the weight in kilograms.

Unit conversion is a way of converting some common units into another without changing their real value. for, example, 1 centimetre is equal to 10 mm, though the real measurement is still the same the units and numerical values have been changed.

As it is given that there are 2.2 pounds in 1 Kilogram. Therefore, the expression that represents the pound of weight in x kilogram can be written as 2.2x, where x represents the weight in kilograms.

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Answer:

IT´S TRUE!!!

Step-by-step explanation:

Answer:

7/15

Step-by-step explanation:

Step 1

We can't subtract two fractions with different denominators. So you need to get a common denominator. To do this, you'll multiply the denominators times each other... but the numerators have to change, too. They get multiplied by the other term's denominator.

So we multiply 4 by 3, and get 12.

Then we multiply 1 by 5, and get 5.

Next we give both terms new denominators -- 5 × 3 = 15.

So now our fractions look like this:

12

15

−  

5

15

Step 2

Since our denominators match, we can subtract the numerators.

12 − 5 = 7

So the answer is:

7

15

Step 3

Last of all, we need to simplify the fraction, if possible. Can it be reduced to a simpler fraction?

To find out, we try dividing it by 2...

Nope! So now we try the next greatest prime number, 3...

Nope! So now we try the next greatest prime number, 5...

Nope! So now we try the next greatest prime number, 7...

Nope! So now we try the next greatest prime number, 11...

No good. 11 is larger than 7. So we're done reducing.

The smallest value of c is -2. The interval where $f(x)$ is one-to-one, which means that each output has only one corresponding input. If we graph $f(x)$, we can see that it is a parabola that opens upwards with vertex $(-2,-5)$.

Since the parabola is symmetric with respect to the vertical line passing through the vertex, it will not pass the horizontal line test and therefore does not have an inverse function when the domain is all real numbers. However, if we restrict the domain to an interval $[c,\infty)$, where $c$ is some real number, the portion of the parabola to the right of the vertical line passing through the point $(c,0)$ will pass the horizontal line test and therefore have an inverse function.

To find the smallest value of $c$ that works, we need to find the $x$-coordinate of the point where the parabola intersects the vertical line passing through $(c,0)$. Setting $(x+2)^2-5=c$ and solving for $x$, we get $x=\pm\sqrt{c+5}-2$. Since we want the portion of the parabola to the right of the line $x=c$, we only need to consider the positive square root. Therefore, the smallest value of $c$ we can use here is $c=-5$, which gives us the $x$-coordinate of the point where the parabola intersects the line $x=-5$. This means that if we restrict the domain of $f(x)$ to $[-5,\infty)$, then $f(x)$ will have an inverse function.

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Answer:

12.8

Step-by-step explanation:

tan(theta) = opposite/adjacent

in this question, theta should be 59 deg, opposite is EF which is x, and adjacent is DE which is 7.7

So plug in these data

tan(59deg) = x/7.7 ==> x = 7.7 * tan(59deg) ~~12.8

The percent 16(4)/(9)% can be expressed as the fraction 16(4)/(9) / 100, which simplifies to 16(4)/(900). the percent 16(4)/(9)% can be expressed as the fraction 16/225 in its simplest form.

To simplify the fraction further, we can find the greatest common divisor (GCD) of the numerator and denominator, which in this case is 4. Dividing both the numerator and denominator by 4 gives us 16/225.

Therefore, 16(4)/(9)% is equivalent to the simplified fraction 16/225.

In summary, the percent 16(4)/(9)% can be expressed as the fraction 16/225 in its simplest form  fraction.

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Answer:

x+4x+2y-5y-3z+6z

5x-3y3z

The lengths of the sides of the triangle with vertices A(2,-1,4), B(-2,3,9), and C(6,4,8) are approximately 10.63, 7.07, and 7.81 units.

To find the lengths of the sides of the triangle, we can use the distance formula in three-dimensional space. The distance formula is derived from the Pythagorean theorem, where the distance between two points P(x₁, y₁, z₁) and Q(x₂, y₂, z₂) is given by:

d(PQ) = √((x₂ - x₁)² + (y₂ - y₁)² + (z₂ - z₁)²)

Applying this formula to our triangle, we can calculate the lengths of the sides as follows:

1. Side AB:

  AB = √((-2 - 2)² + (3 - (-1))² + (9 - 4)²)

     = √((-4)² + (4)² + (5)²)

     ≈ √(16 + 16 + 25)

     ≈ √57

     ≈ 7.55 units (rounded to two decimal places)

2. Side BC:

  BC = √((6 - (-2))² + (4 - 3)² + (8 - 9)²)

     = √((8)² + (1)² + (-1)²)

     ≈ √(64 + 1 + 1)

     ≈ √66

     ≈ 8.12 units (rounded to two decimal places)

3. Side CA:

  CA = √((6 - 2)² + (4 - (-1))² + (8 - 4)²)

     = √((4)² + (5)² + (4)²)

     ≈ √(16 + 25 + 16)

     ≈ √57

     ≈ 7.55 units (rounded to two decimal places)

Therefore, the lengths of the sides of the triangle ABC are approximately 7.55, 8.12, and 7.55 units.

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The expected value of X, denoted as E(X), for a random number chosen from the integers 1 to n is given by (n+1)/2. The variance of X, denoted as V(X), is given by (n²-1)/12.

The expected value of a random variable represents the average value that we expect to obtain when the experiment is repeated many times. In this case, we are selecting a number at random from the integers 1 to n. The possible outcomes are equally likely, with each number having a probability of 1/n of being chosen.

To calculate the expected value, we need to consider the probability of each outcome and multiply it by the corresponding value. Since the numbers are chosen at random, the probability of selecting any specific number is 1/n. Therefore, the expected value can be calculated as the sum of all the possible values (1, 2, 3, ..., n) multiplied by the probability of each value, which is 1/n.

Using the formula for the sum of an arithmetic series, the sum of the integers from 1 to n can be expressed as (n+1)*n/2. Therefore, the expected value of X is given by:

E(X) = (1/n) * [(1 * 1) + (2 * 1) + (3 * 1) + ... + (n * 1)]

    = (1/n) * [1 + 2 + 3 + ... + n]

    = (1/n) * (n+1)*n/2

    = (n+1)/2

This shows that the expected value of X is equal to (n+1)/2.

The variance of a random variable measures the spread or dispersion of its values around the expected value. The variance of X, denoted as V(X), can be calculated using the formula V(X) = E(X²) - [E(X)]².

For X, the possible values range from 1 to n, each with a probability of 1/n. So, we can calculate E(X²) by considering the sum of the squares of all the possible values multiplied by their respective probabilities.

E(X^2) = (1/n) * [(1² * 1) + (2^2 * 1) + (3² * 1) + ... + (n² * 1)]

       = (1/n) * [1² + 2² + 3² + ... + n²]

       = (1/n) * (n * (n+1) * (2n+1))/6

       = (n+1)(2n+1)/6

Substituting the values of E(X) and E(X²) into the formula for variance, we have:

V(X) = E(X²) - [E(X)]²

    = (n+1)(2n+1)/6 - [(n+1)/2]²

    = (n² - 1)/12

This demonstrates that the variance of X is equal to (n² - 1)/12.

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Answer:

w = 49

Step-by-step explanation:

w - 39 = 10

=> w = 10 + 39

=> w = 49

the dimensions that maximize the printed area are w= 108m, and H= 180.

w×h = 19440

h = \(\frac{19440}{w}\)

We can substitute this into our equation for area:

A= (w - 12)×(\(\frac{19440}{w}\) - 20)

Multiplying this out, we get

A = 19440 - 20w - 233280/w + 240

So, now we have an output (A) in terms of only one variable (w), so we differentiate:

dA/dw = -20 + 233280/w²

(Use the fact that 233280/w = 233280× \(w^{-1}\), then use the power rule.)

To maximize, we set our derivative equal to 0 and solve:

-20 + 233280/w² = 0

233280 = 20w²

w² = 11644

w=\(\sqrt{11644}\)

w = 108 cm

Then, you can use the fact that the total area is 19440 to find the height:

108×h = 19440

h = 180.

The area is the quantity that expresses the extent of a place on the plane or on a curved floor. The area of an aircraft area or aircraft location refers to the region of a shape or planar lamina, at the same time as floor vicinity refers back to the region of an open surface or the boundary of a three-dimensional object. the vicinity may be understood as the quantity of cloth with a given thickness that would be essential to fashion a version of the form, or the amount of paint necessary to cover the floor with an unmarried coat. it's miles the two-dimensional analog of the period of a curve (a one-dimensional idea) or the volume of a strong (a three-dimensional concept).

The vicinity of a form may be measured by evaluating the form to squares of a fixed size. inside the international system of devices (SI), the usual unit of the region is the rectangular meter (written as m²), which is the region of a square whose facets are one meter lengthy. A shape with a place of three square meters would have the same place as 3 such squares. In arithmetic, the unit rectangular is defined to have region one, and the place of any other shape or floor is a dimensionless actual wide variety.

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Answer:

C: it increases

Step-by-step explanation:

An outlier is a data point that lies significantly out of the range of all of the other data points

Answer:

27.6%

Step-by-step explanation:

See the attached worksheet. Find the total number of marbles (29) and then take the green marbles and divide by the total and multiply by 100%.  (8/29)*(100%) = 27.6% to the nearest tenth.

The value of Riemann sum for f(x) = 1-x³, 2 ≤ x ≤ 11, with three subintervals, taking the sample points to be right endpoints is -1041.3333.

Given, f(x) = 1-x³We need to evaluate the Riemann sum for 3 sub-intervals by taking the sample points to be right endpoints.The width of each sub-interval is:Δx = (b - a) / n = (11 - 2) / 3 = 3.The right endpoints of the 3 sub-intervals are: x1 = 5, x2 = 8, x3 = 11.The Riemann sum is given by:S = f(x1)Δx + f(x2)Δx + f(x3)ΔxNow we need to find the values of f(x1), f(x2) and f(x3).f(x) = 1-x³⇒ f(x1) = f(5) = 1 - 5³ = -124⇒ f(x2) = f(8) = 1 - 8³ = -511⇒ f(x3) = f(11) = 1 - 11³ = -1330The Riemann sum is:S = f(x1)Δx + f(x2)Δx + f(x3)Δx⇒ S = (-124)3 + (-511)3 + (-1330)3⇒ S = -1041.3333. Therefore, the value of Riemann sum for f(x) = 1-x³, 2 ≤ x ≤ 11, with three subintervals, taking the sample points to be right endpoints is -1041.3333.

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Hey there!

\(Answer:\boxed{0<x<3}\)

\(Explanation:\)

Graph below!

Hope this helps!

\(\text{-TestedHyperr}\)

Answer:

y = -18

Step-by-step explanation:

Given that,

y+29 =11

We need to find the value of y.

Subtract 29 to both sides of the above equation.

y+29-29 =11-29

y = -18

So, the value of y is equal to -18.

The problem of multicollinearity. Multicollinearity refers to a situation in which two or more independent variables in a multiple linear regression model are highly correlated with each other.

This can lead to problems in estimating the regression coefficients accurately and can also result in unstable and inconsistent estimates of the coefficients. Multicollinearity can also make it difficult to determine the individual effects of the independent variables on the dependent variable, as well as to detect which variables are significant predictors.

Multicollinearity can also have a negative impact on the validity of hypothesis tests and can lead to over-fitting of the model. When the independent variables are highly correlated with each other, the regression coefficients are less precise and can have large standard errors, making it difficult to determine their significance.

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Multicollinearity occurs when two or more independent variables are highly correlated, meaning that one can be easily predicted from the other. This can lead to an unreliable model as it can produce inaccurate results.

Multicollinearity occurs when two or more independent variables in a multiple linear regression model are highly correlated, meaning that one can be easily predicted from the other.

If an independent variable is an exact linear combination of other independent variables, then the model is suffering from multicollinearity, which can cause the coefficients to be unstable and have large standard errors.

To address this issue, researchers can use techniques such as principal component analysis or ridge regression to reduce the correlation between the independent variables. These techniques can help improve the accuracy and reliability of the model.

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Answer:

14.6

Step-by-step explanation:

Answer:

Condition:

If a series converges, then the terms of the series approach 0.

Converse:

If the terms of a series approach 0, then the series converges.

Given:

13 is the final answer.

The perimeter of triangle JKL is  determined as 68 units.

The perimeter of triangle JKL is calculated as follows;

The perimeter of triangle JKL is the sum of all the distance round the triangle.

Perimeter = length JK + length LK + length JL

AL = CL = 12

Length LK = CL + CK = 12 + 8 = 20

JA = JB = 14

KB = CK = 8

Length JK = JB = KB = 14 + 8 = 22

Length JL = JA + AL = 14 + 12 = 26

The perimeter of triangle JKL is calculated as;

Perimeter = 20 + 22 + 26

Perimeter = 68 units.

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the slope is 3 for the equation

Answer:

the slope is 3 for the equation

Step-by-step explanation:

An example of a linear transformation applicable to my field of study (artificial intelligence) is the transformation of input data in a neural network. In this context, the input data is transformed using a linear function, often followed by an activation function, to create new representations of the data at each layer of the network.

The kernel of a linear transformation refers to the set of all input vectors that are mapped to the zero vector. In the context of a neural network, the kernel represents the redundancy or null space in the input data. Understanding the kernel helps in reducing overfitting by eliminating unnecessary features or dimensions from the input data.

The range of a linear transformation is the set of all possible output vectors obtained by applying the transformation to the input vectors. In a neural network, the range corresponds to the space of possible outputs that can be generated by the network. Analyzing the range can help in understanding the network's capabilities and limitations, and potentially lead to improvements in the network architecture or training process.

In summary, a linear transformation appears in the context of a neural network in artificial intelligence. The significance of the kernel and range of such a transformation is to understand the redundancy in input data and the capabilities of the network, respectively, which can help improve the performance of the neural network.

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