g(n)=n^2-4
h(n)=4n+5
find g°h

Step-by-step explanation:

The area = base × height

= 12 × 17 = 204

the perimeter = 2(17 + 15) = 2 × 32 = 64

please give me a brainliest answer

Answer:

Step-by-step explanation:

Lateral surface area of cube = 4a²

4a² = 400

   a² = 400÷4

  a² = 100

 a = √100 = √10*10

a = 10 cm

Total surface area = 6a²

                               = 6 * 10²

                               = 6* 100

                               = 600 cm²

Answer:

A

Step-by-step explanation:

I believe that I did this before.

Answer:

Therefore the final price of the table coffee which is on sale by 20% with a sales tax of 7.5% is $98.9

Step-by-step explanation:

it is $98.9

Answer:

$98.9

Step-by-step explanation:

Answer:

14.9 min

Step-by-step explanation:

r=rate

r25=5*7

r25=35

r=35/25

r=1.4

substitution

r160=t*15

t=time

r=1.4

1.4*160=t*15

224=t*15/15

224/15=t

14.9 min

Answer:

4x+6y or 2*(2x+3y)

Step-by-step explanation

4x+6y

if you want to factorize it

2*(2x+3y)

Answer:

3/10 or 0.3

Step-by-step explanation:

The length of his rectangular field is 35 metres.

Farmer Fred has a rectangle field. 2 / 5 of the field is planted with carrots and the rest is for cabbages.

Therefore, the width of the field is 13 metres. The length of the field can be found as follows:

area of the carrot section = 182 m²

let

x = area of the field.

Therefore,

2 / 5 x  = 182

cross multiply

2x = 910

x = 910 / 2

x = 455 m²

Therefore,

length of the field = 455 / 13

length of the field = 35 metres.

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Light bulbs is normally distributed with a variance of 625 and a mean lifetime of 520 hours, we need to calculate the cumulative probability up to 549 hours. The answer will be rounded to four decimal places.

Given a normally distributed lifetime with a mean of 520 hours and a variance of 625, we can determine the standard deviation (σ) by taking the square root of the variance, which gives us σ = √625 = 25.

To find the probability of a bulb lasting for at most 549 hours, we need to calculate the area under the normal distribution curve up to 549 hours. This can be done by evaluating the cumulative distribution function (CDF) of the normal distribution at the value 549, using the mean (520) and standard deviation (25).

The CDF will give us the probability that a bulb lasts up to a certain point. Rounding the result to four decimal places will provide the desired precision.

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The problem involves using normal distribution to find the probability of a given outcome. Using the Z-score, we can determine that the probability of a light bulb lasting for at most 549 hours is approximately 0.8770 or 87.70%

Given the mean (µ) of the lifetime of a bulb is 520 hours. Also, the variance (σ²) is given as 625. Thus, the standard deviation (σ) is the square root of the variance, which is 25.

To find the probability of a bulb lasting for at most 549 hours, we first calculate the Z score. The Z-score formula is given as follows: Z = (X - µ) / σ, where X is the number of hours, which is 549. So substitute the given values into the formula. Z = (549 - 520) / 25, the Z value is 1.16.

We then look up the Z-table to find the probability associated with this Z-score (1.16), which is approximately 0.8770. Therefore, the probability of a bulb lasting for at most 549 hours is approximately 0.8770 or 87.70%.

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Answer: The answer is 8x - 5y = -7

Hope this helps! :)

Increasing the smoothing factor in Exponential Moving Average gives more weight to recent price values and makes the forecast more responsive to short-term movements.

When using Exponential Moving Average (EMA) as a forecasting method for stock price movements, the smoothing factor determines the weight assigned to past actual price values.

Increasing the value of the smoothing factor reduces the weight given to older price values and increases the weight given to more recent price values.

The formula for calculating EMA is as follows:

EMA(t) = \(\alpha \times Price(t) + (1 - \alpha ) \times EMA(t-1)\)

Here, α represents the smoothing factor, and Price(t) is the actual price at time t. The smoothing factor determines how quickly the weight of past prices decays as new prices are incorporated into the EMA calculation.

By increasing the value of the smoothing factor, the influence of older price values diminishes more rapidly. This means that the EMA will react more quickly to recent price movements, leading to a higher sensitivity to short-term changes. The EMA will closely track the recent price trends, making it more responsive to current market conditions.

However, it's important to note that increasing the smoothing factor excessively can also make the EMA more volatile and prone to noise, as it will react too quickly to short-term fluctuations and might overemphasize recent data at the expense of long-term trends.

In conclusion, increasing the smoothing factor in Exponential Moving Average gives more weight to recent price values and makes the forecast more responsive to short-term movements.

It can be beneficial when there is a need to capture and react quickly to the latest market trends. However, it should be used cautiously, as excessively high values may introduce more volatility and noise into the forecast.

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Answer:

Step-by-step explanation:

\(\frac{2}{3}\times \frac{2}{3} \times \frac{2}{3} \times \frac{2}{3}=(\frac{2}{3})^4\)

According to the Side-Angle-Side Theorem (SAS), two triangles are congruent if their two sides and the angle between them are equal to those of another triangle's two sides and angle.

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Answer:

he invented the point

he was a German mathematician

he  Hilbert's improvements to geometry are still used in textbooks today

he developed Hilbert's axioms

Step-by-step explanation:

Answer:

He was a German mathematician.

If only one is true then you're good to go.

Whoops never mind.. :/

Answer:

x > 6

Step-by-step explanation:

Given

3(x + 4) - 5(x - 1) < 5 ← distribute and simplify left side

3x + 12 - 5x + 5 < 5

- 2x + 17 < 5 ( subtract 17 from both sides )

- 2x < - 12

Divide both sides by - 2, reversing the symbol as a result of dividing by a negative value.

x > 6

Step-by-step explanation:

2 1/4 = 9/4

9/4 ÷ 4

9/4 x 1/4

9/16

so neither of these answers?

The product of (4z² + 7z – 8) and (–z + 3) is -4z³ + 5z² + 29z - 24

(4z² + 7z – 8) and (–z + 3)

= -4z³+ 12z² - 7z² + 21z + 8z - 24

= -4z³ + 5z² + 29z - 24

Therefore, the product of (4z² + 7z – 8) and (–z + 3) is -4z³ + 5z² + 29z - 24

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Firstly, you turn 2 2/3 into an improper fraction, which will become

=4/3

Lastly, you multiply them, which would be 11/2 x 4/3=22/3=7 1/3

Step-by-step explanation:

the answer will be

11 x 22 / 2x3

that will give us

242/6

reducing it to the lowest term by dividing it by two that will give us 121 / 3

121 / 3 will give us 40.33

The probability of approximately 48% that a player will have a height between 5'2" and 5'6".

To calculate the probability of a player being between 5'2" and 5'6" given that historically, the members of the chess club have had an average height of 5'6" with a standard deviation of 2", we can use the standard normal distribution.

First, we need to convert the heights to z-scores using the formula:

z = (x - μ) / σ

where x is the height we want to find the probability for, μ is the mean height, and σ is the standard deviation.

For 5'2":

z = (62 - 66) / 2 = -2

For 5'6":

z = (66 - 66) / 2 = 0

Next, we can use a standard normal distribution table or calculator to find the area under the curve between these two z-scores.

Using a standard normal distribution table, we can find that the area to the left of z = -2 is 0.0228 and the area to the left of z = 0 is 0.5. Therefore, the area between z = -2 and z = 0 is:

0.5 - 0.0228 = 0.4772

Multiplying this by 100 gives us a probability of approximately 48% that a player will have a height between 5'2" and 5'6".

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True/False question cannot be answered with a "main answer". However, the archaeologists do believe that the cities of Sodom and Gomorrah were near the Dead Sea.

The location of Sodom and Gomorrah is a subject of debate among archaeologists and scholars. Some believe that they were located near the Dead Sea, while others propose different locations. However, the prevailing theory is that they were situated near the Dead Sea, which is a salt lake bordered by Jordan to the east and Israel and Palestine to the west.

The true/false question you have posed cannot be answered with a long answer as it is a binary question. However, if you want to know more about the archaeology and history of Sodom and Gomorrah, there is a wealth of information available online and in scholarly articles and books. The story of Sodom and Gomorrah is a biblical tale that recounts the destruction of two cities by God due to their wickedness. The story appears in both the Book of Genesis in the Hebrew Bible and in the Quran. Archaeological evidence suggests that there were settlements in the area of the Dead Sea around the time the story of Sodom and Gomorrah is said to have occurred, but there is no conclusive proof that these were the cities referred to in the Bible. Some scholars argue that the story is a myth, while others believe that there is a historical basis for it. Regardless of the veracity of the tale, the story of Sodom and Gomorrah has captured the imagination of people for centuries and continues to be a subject of scholarly inquiry.

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Answer:

Same arc intercepted, the angles are equal

Cyclic quadrilateral has supplementary opposite angles

And s and r intercept same arc, therefore:

Answer:

3n + 6

Step-by-step explanation:

So the simplified version is 3n + 18

3n + 6 X

3n + 18 = 3n + 18

2n + 8 + n + 10 = 3n + 18

2(n + 6) + 6 + n = 3n + 18

All of them except the first are EQUIVALENT.

Answer:

3n+6 is not equivalent.

Step-by-step explanation:

Answer:

17,100

Step-by-step explanation

The hundreds place in the number is 113, if you round 113 you get 100 because it is closer to 100 than it is to 200

The argument can be used to adjust the size of the two tick labels B and 0 on the x-axis is cex.axis of the boxplot. Option D is the correct choice.

To create a boxplot of rear width (RW) by species (sp) using the boxplot function in R, you can use the following R code:
```R
boxplot(RW ~ sp, data = your_data)
```

In this code, replace 'your_data' with the name of your data frame containing the variables RW and sp.

Regarding the options for adjusting the size of the tick labels (B and 0) on the x-axis, the correct argument is (D) cex.axis. You can use this argument to set the size of the tick labels as follows:
```R
boxplot(RW ~ sp, data = your_data, cex.axis = desired_size)
```

Replace 'desired_size' with a numerical value to set the size of the tick labels.

The answer is: (D) cex.axis

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Answer:

i. 4 two-point shots

ii. 10 free throws

Step-by-step explanation:

Number of times scored = 14

total points made = 18

let her two-point shot be represented by x, and her free throw by y.

So that;

x + y = 14 .......... 1

But, two points for each two-point shot and one point for each free throw;

2x + y = 18 ......... 2

Subtract equation 2 from 1

2x - x + y - y = 18 - 14

x = 4

substitute the value of x in equation 1

4 + y = 14

y = 14 - 4

y = 10

x= 4, y = 10

Thus, she made 4 two-point shots, and 10 free throws.

Answer:

4 two-pointers and 10 free throws

Step-by-step explanation:

18 - 14 = 4

4 two-pointers = 8

10 free throws = 10 points

The sinusoidal function that satisfies the given attributes is f(x) = 10 * sin(2π/5 * x - π/5) + 31.

To find a sinusoidal function with the given attributes, we can use the general form of a sinusoidal function:

f(x) = A * sin(Bx + C) + D

where A represents the amplitude, B represents the frequency (related to the period), C represents the phase shift, and D represents the vertical shift.

Amplitude: The given amplitude is 10. So, A = 10.

Period: The given period is 5. The formula for period is P = 2π/B, where P is the period and B is the coefficient of x in the argument of sin. By rearranging the equation, we have B = 2π/P = 2π/5.

Midline: The given midline is y = 31, which represents the vertical shift. So, D = 31.

f(3) = 41: We are given that the function evaluated at x = 3 is 41. Substituting these values into the general form, we have:

41 = 10 * sin(2π/5 * 3 + C) + 31

10 * sin(2π/5 * 3 + C) = 41 - 31

10 * sin(2π/5 * 3 + C) = 10

sin(2π/5 * 3 + C) = 1

To solve for C, we need to find the angle whose sine value is 1. This angle is π/2. So, 2π/5 * 3 + C = π/2.

2π/5 * 3 = π/2 - C

6π/5 = π/2 - C

C = π/2 - 6π/5

Now we have all the values to construct the sinusoidal function:

f(x) = 10 * sin(2π/5 * x + (π/2 - 6π/5)) + 31

Simplifying further:

f(x) = 10 * sin(2π/5 * x - 2π/10) + 31

f(x) = 10 * sin(2π/5 * x - π/5) + 31

Therefore, the sinusoidal function that satisfies the given attributes is f(x) = 10 * sin(2π/5 * x - π/5) + 31.

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Answer:

100pi

Step-by-step explanation:

4*pi*5^2

=100pi

Answer:

100π

Step-by-step explanation:

SA = 4π(5²) = 25 · 4π or 100π

The maximal value of the sample covariance is \(sx*sy\), which represents the highest correlation possible between X and Y.

The formula for the sample covariance between X and Y is given by \(cov(X,Y) = (1/(n-1)) Σ (xi - xmean)(yi - ymean)\). The maximal value for the sample covariance is equal to the product of the standard deviations of X and Y, which can be calculated using the formula \(sx*sy = (1/(n-1)) Σ (xi - xmean)^2 * (1/(n-1)) Σ (yi - ymean)^2\). Using the Cauchy-Schwarz Inequality, we can know that \(cov(X,Y) < = sx*sy\). Therefore, the maximal value of the sample covariance is sx*sy, which represents the highest correlation possible between X and Y.

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The length of the rectangular painting is equal to 76 cm.

The space occupied by any two-dimensional figure in a plane is called the area. The space occupied by the rectangle in a two-dimensional plane is called the area of the rectangle.

The area of a rectangular painting is 4636 cm². The width of the painting is equal to 61 cm.

The length of the painting is calculated as,

Area of rectangle = Length x Width

4636 = Length x 61

Length = 4636 / 61

Length = 76 cm

The length is 76 cm for the rectangle.

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