Diameter = 4.2 in. Use TI = 22/7 C= ​

Answer:

0.08

Step-by-step explanation:

Answer:

56.52 cm

Step-by-step explanation:

9×2×3.14=56.52

9=r (radius)

2 is part of the formula

3.14= pi

Can I please have Brainliest?

Answer:

3

Step-by-step explanation:

The usual method of finding the area of a shape is base times height. Since there is no base, divide 72 by 24. You get 3. Use 3 as your base.

Answer:

part a  2

part b - (0,-1)

Step-by-step explanation:

Answer:y=x-5

Step-by-step explanation: Use (y2-y1)/(x2-x1) fill those in and get (4-1)/(9-6) which is 3/3 and that is 1 for the slope. Now fill in y=1x with a given coordinate and try to find the y-intercept so we would do 1=1(6) and we need to make the right side equal to the left so we subtract 5. Ending us with y=x-5.

The expected value of Z, E(Z), is αμ + μ * √(1 - α²).

The correlation coefficient between U and Z, ρUZ, is α.

These results provide insights into the relationship between the independent random variables U and V, and the newly defined random variable Z.

The expected value of a random variable represents the average value we would expect to obtain if we were to repeat the experiment many times. To find E(Z), we need to calculate the average value of Z.

We have Z = αU + V * √(1 - α²). Since U and V are independent, their expected values are simply their means, which are μ.

Now, let's calculate E(Z):

E(Z) = E(αU + V * √(1 - α²))

= αE(U) + E(V * √(1 - α²)) (by linearity of expectation)

= αμ + E(V) * √(1 - α²) (since E(U) = μ)

= αμ + μ * √(1 - α²) (since U and V have the same variance, their variances are both σ²)

Therefore, the expected value of Z, E(Z), is equal to αμ + μ * √(1 - α²).

Correlation coefficient between U and Z (ρUZ):

The correlation coefficient measures the linear relationship between two random variables. In this case, we want to find the correlation coefficient between U and Z, denoted as ρUZ.

The correlation coefficient ρUZ is defined as the covariance between U and Z divided by the product of their standard deviations.

To calculate ρUZ, we need to find the covariance between U and Z. The covariance between two random variables U and Z is given by:

Cov(U, Z) = E[(U - E(U))(Z - E(Z))]

Since U and V are independent, the covariance between U and V is zero. Therefore, we have:

Cov(U, Z) = Cov(U, αU + V * √(1 - α²))

= Cov(U, αU) + Cov(U, V * √(1 - α²))

= αCov(U, U) + 0

= αVar(U) (since Cov(U, U) = Var(U))

Using the given information that U has variance σ², we have:

Cov(U, Z) = ασ²

Next, let's calculate the standard deviations of U and Z.

Standard deviation of U (σU) = √(Var(U)) = √(σ²) = σ

Standard deviation of Z (σZ) = √(Var(Z))

= √(Var(αU + V * √(1 - α²)))

= √(α²Var(U) + Var(V * √(1 - α²))) (by independence)

= √(α²σ² + Var(V * √(1 - α²))) (since Var(U) = σ²)

= √(α²σ² + (1 - α²)Var(V)) (since Var(V * c) = c²Var(V), where c is a constant)

= √(α²σ² + (1 - α²)σ²) (since V has variance σ²)

= σ * √(α² + 1 - α²)

= σ * √(1)

Therefore, the standard deviation of Z, σZ, is equal to σ.

Now, we can calculate the correlation coefficient ρUZ:

ρUZ = Cov(U, Z) / (σU * σZ)

= ασ² / (σ * σ)

= α

Hence, the correlation coefficient between U and Z, ρUZ, is equal to α.

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Answer:

187 sweets

Step-by-step explanation:

8 units - 6 units = 2 units

2 units = 22 sweets

1 unit = 22 sweets ÷ 2

= 11 sweets

Total amount of sweets = 11 sweets × (6 units + 3 units + 8 units) = 11 sweets × 17 = 187 sweets

GH=po

That is answer

Yay

The classification for a score of 73 on an IQ test with a mean of 100 and standard deviation of 15 is "below average".

For intelligence level tests with a mean of 100 and a standard deviation of 15, a score of 73 would address a characterization of less than ideal knowledge.

To comprehend this order, it is vital to realize that level of intelligence scores are normalized, meaning they depend on a dispersion where the typical score is 100 and the standard deviation is 15. This dissemination is frequently alluded to as a typical circulation, with most of scores falling inside one standard deviation of the mean.

A score of 73 is one and a half standard deviations underneath the mean (100-15-15=70). This places it in the seventh percentile, meaning just 7% of the populace would score lower.

As indicated by most intelligence level grouping frameworks, a score of 73 would fall inside the scope of marginal scholarly working or low normal knowledge. It is essential to note, nonetheless, that intelligence level scores are only one proportion of knowledge and ought not be utilized in segregation to decide an individual's scholarly capacities.

In outline, a score of 73 on a level of intelligence test with a mean of 100 and a standard deviation of 15 would address sub optimal knowledge and fall inside the scope of marginal scholarly working or low normal insight.

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Domain: For sales, x > 0 (positive values); for returns, x < 0 (negative values).

Range: F(x) ≥ 0 (non-negative values).

The given function is defined as follows:

For x > 0 (sale): F(x) = |x| * 0.015

For x < 0 (return): F(x) = |x| * 0.005

The domain of the function is the set of all possible input values, which in this case is all real numbers. However, due to the specific conditions mentioned, the domain is restricted to positive values of x for the "sale" scenario (x > 0) and negative values of x for the "return" scenario (x < 0).

Therefore, the domain of the function F(x) is:

For x > 0 (sale): x ∈ (0, +∞)

For x < 0 (return): x ∈ (-∞, 0)

The range of the function is the set of all possible output values. Since the function involves taking the absolute value of x and multiplying it by a constant, the range will always be non-negative. In other words, the range of the function F(x) is:

For x > 0 (sale): F(x) ∈ [0, +∞)

For x < 0 (return): F(x) ∈ [0, +∞)

In conclusion, the domain of the function F(x) is x ∈ (0, +∞) for sales and x ∈ (-∞, 0) for returns, while the range is F(x) ∈ [0, +∞) for both scenarios.

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Answer:

y=2x-1

y=x+4/3

Step-by-step explanation:

\(x^2 +5x -14 =0\\\\\implies x^2 +7x -2x -14 =0\\\\\implies x(x+7) -2(x+7)=0\\\\\implies (x-2)(x+7) =0\\\\\implies x =2~~ \text{or}~~ x =-7\)

Answer:

x = -7 and x = 2

Step-by-step explanation:

x ^ 2 + 5x - 14 = 0 can be factored as follows:  (x + 7)(x - 2).  Note how 7x - 2x = 5x.

Setting each factor = to 0 and solving for x, we get x = -7 and x = 2.

Answer:

8

Step-by-step explanation:

\(x = 4 \times 2 \\ x = 8\)

Answer:

X=4x 2

x=8

I hope this help you

The required probabilities for the events in question are:

Based on the parameters given :

Number of red slots = 18

Number of black slots = 18

Number of green slots = 2

Total number of slots = 18+18+2 = 38

A.)

Probability of green slots 2 or more times :

(2/38)² × (36/38)²³ = 0.00080

B.)

Probability of ball not entering the green slots

1 - P(green slots)

P(not entering green slot ) = 1 - 0.0008 = 0.9992

C.)

probability that ball falls into black slot 15 or more times :

(18/38)¹⁵ * (20/38)¹⁰ = \(2.21\times10^{-8}\)

D.)

Probability that ball falls into red slot 10 or less times :

(10/38)¹⁰ * (28/38)¹⁵ = \(1.63\times10^{-8}\)

Therefore, the required probabilities are :

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Option (c) is true i.e. y is not a function of x, since the x-values do not correspond to exactly (precisely) one y-value.

A function in mathematics from a set X to a set Y allocates exactly (precisely) one element of Y to each element of X. The sets X and Y are collectively referred to as the function's domain and codomain, respectively.

The items that make up a set are referred to as its elements (or members), and the set is said to contain the elements when they are claimed to belong to it.

The mapping shows a relationship between x and y in this mapping is y is not a function of x, since the x-values do not correspond to exactly one y-value.

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Answer:

no

Step-by-step explanation:

because it is not equal numbers

Answer:

we conclude that:

Step-by-step explanation:

A dilation is a transformation which generates an image that is the same shape as the original object but in a different size.

The image can be obtained by multiplying the measure of the original object by a scale factor.

If the scale factor > 1, the image is stretched

If the scale factor < 1, the image is reduced

If the scale factor = 1, the image and object will be congruent

For example, if we multiply the measure of the coordinates of the vertex A(2, 2) of a triangle by a scale factor of 2, the image A' is stretched as the scale factor > 1.

Dilation with scale factor 2, multiply by 2.

A(2, 2) → (2(2), 2(2)) = A'(4, 4)

So, the image point A'(4, 4) is enlarged.

Dilation with scale factor ½, multiply by ½.

A(2, 2) → (2(1/2), 2(1/2)) = A'(1, 1)

So, the image point A'(1, 1) is reduced.

Therefore, we conclude that:

The values of the missing sides are;

a.  x = 35. 6 degrees

b. x = 15

c. x = 22. 7 ft

d. x = 31. 7 degrees

To determine the values, we have;

a. Using the tangent identity;

tan x = 5/7

Divide the values

tan x = 0. 7143

x = 35. 6 degrees

b. Using the Pythagorean theorem

x² = 9² + 12²

find the square

x² = 225

x = 15

c. Using the sine identity

sin 29= 11/x

cross multiply the values

x = 11/0. 4848

x = 22. 7 ft

d. sin x = 3.1/5.9

sin x = 0. 5254

x = 31. 7 degrees

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Answer:

between for and five hours

Step-by-step explanation:

Answer:

3

Step-by-step explanation:

i used process of elimination... 1 and 2 looks unreasonable, and 4 doesn't work cus i tried it irl. i might be wrong though, don't rely on me :>

Answer:

this is pythagorus theorem

the height is 7,2

the distance is d

d^2 = 5^2 + 4^2

hope this helps

High-def television sets would probably be distributed using an intensive strategy. Therefore, option B. is correct.

Intensive distribution refers to a strategy where a product is made widely available through as many outlets as possible. This strategy is typically employed for products that have high demand, are low-cost, and require extensive market coverage. In the case of high-definition television sets, they are popular consumer electronics with a significant market demand.

To determine whether intensive distribution is suitable for high-def television sets, we consider the characteristics of the product. High-definition television sets are relatively low-cost compared to other options in the market, and they are in demand by a broad range of consumers. These factors suggest that an intensive distribution strategy would be appropriate for this product.

Based on the analysis, high-def television sets would most likely be distributed using an intensive strategy. This approach would ensure broad availability and accessibility for consumers, leveraging the product's popularity and fulfilling market demand. By making these television sets widely accessible through multiple outlets, manufacturers can reach a larger customer base, maximize sales potential, and effectively compete in the consumer electronics market.

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Answer:

Step-by-step explanation:

the numerical coefficient of x2 here is 3.

Expressing or writing 7+21 as a product of two factors requires the application of Distributive Property

The expression that shows 7+21 written as a product of two factors is

7(1 + 3).

       a (b + c) = ab + ac

Where

a is the common factor

We are given the expression:

7 + 21

Splitting this into two factors using the distributive property

7 + 21

The common factor for 7 and 21 is 7

Hence, by factorising we have:

7 + 21 = 7(1 + 3)

Therefore, the expression that shows 7+21 written as a product of two factors is :

7(1 + 3)

The correct option is D

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To find the general expressions for the autocorrelation function rzz() of z(t) in terms of the autocorrelation functions of x(t) and y(t), we need to consider the relationship between z(t), x(t), and y(t).

If z(t) is a linear combination of x(t) and y(t), we can express it as:

z(t) = a * x(t) + b * y(t)

where a and b are constants.

The autocorrelation function of z(t), denoted as rzz(), can be calculated as:

rzz() = E[z(t) * z(t + )]

Substituting the expression for z(t), we have:

rzz() = E[(a * x(t) + b * y(t)) * (a * x(t + ) + b * y(t + ))]

Expanding this expression and applying the linearity property of expectation, we get:

rzz() = a^2 * Exx() + b^2 * Eyy() + 2ab * Exy()

where Exx(), Eyy(), and Exy() are the autocorrelation functions of x(t), y(t), and the cross-correlation function between x(t) and y(t), respectively.

Therefore, the general expression for the autocorrelation function rzz() of z(t) in terms of the autocorrelation functions of x(t) and y(t) is given by:

rzz() = a^2 * Exx() + b^2 * Eyy() + 2ab * Exy()

This expression demonstrates how the autocorrelation of z(t) can be determined based on the autocorrelation functions of x(t) and y(t) along with their cross-correlation.

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When triangle DUH is rotated and then dilated by a scale factor of n, it means that the triangle is first turned around a fixed point, and then all of its sides are enlarged or reduced by a factor of n.

The rotation changes the position and orientation of the triangle in the plane, while the dilation changes its size. The resulting triangle will have different angles and side lengths than the original triangle, but it will be similar to it because the shape remains the same. The scale factor n determines how much bigger or smaller the triangle becomes after the dilation.

If triangle DUH is rotated and then dilated by a scale factor of n, it means the triangle has undergone two transformations. First, the triangle is rotated around a point, changing its orientation but keeping its shape and size. Second, the triangle is dilated by a scale factor of n, which enlarges or shrinks the triangle proportionally while maintaining its overall shape. The final result is a triangle with the same shape as the original DUH but with a different size and orientation.

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Answer:

2.31964e-7

Step-by-step explanation:

Answer:

3 gallons

Step-by-step explanation:

Calculators bought to help individuals complete their personal federal income tax forms is not a business product.

A business product refers to goods or services that are purchased by businesses or organizations to be used in their operations or to produce other goods and services. It excludes products intended for personal use or consumption.

In the given options, calculators bought to help individuals complete their personal federal income tax forms stands out as not being a business product. Calculators purchased for personal use, even if they are used for a specific task related to taxes, are not considered business products because they are intended for personal use rather than for business operations or production.

On the other hand, paper, pens, and tape to be used in an office, chips to be integrated into components for personal computers, marketing consulting services to aid a company in marketing a new product, and oil to be refined into fuel are all examples of business products.

Therefore, calculators bought for personal use is the option that does not represent a business product in the given choices.

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The value of t is 6.65

An exponential function is a mathematical function of the following form: f ( x ) = a^x. where x is a variable, and a is a constant called the base of the function.

Given:

A= 210 million

P= A e^(kt)

225 = 210 * e ^ (0.0069t)

225/210=  e ^ (0.0069t)

1.07 =  e ^ (0.0069t)

Taking log on both side

log  1.047 = 0.0069 t log e

\(\frac{0.0069t\ln \left(e\right)}{0.0069\ln \left(e\right)}=\frac{\ln \left(1.047\right)}{0.0069\ln \left(e\right)}\)

t= log ( 1.047) / 0.0069

t= 6.65

Hence, value of t is 6.65.

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Answer:

Step-by-step explanation: