What is the x-intercept of the graph that is shown below?
4
8 2
5 4 -3 -2 -14
1 2 3
X
2
3
4
45
O (-3, 4)
(0, 2)
O (2,0)
(3,0)

Using PEMDAS

We must first clear P which stands for Parentheses

The values in the parentheses are (12.9 -3.1)

so the first and right option is option c subtract 3.1 from 12.9

9514 1404 393

Answer:

  (x, y, z) = (x, x+2, 3x+1)

Step-by-step explanation:

We can add twice the second equation to the first to get ...

  [eq4] -3x +0y +z = 1

Adding the first and second equations gives ...

  [eq5] -x +y +0z = 2

Solving [eq4] for z gives ...

  z = 3x +1

Solving [eq5] for y gives ...

  y = x +2

Then the solution triple is (x, y, z) = (x, x+2, 3x+1).

l×d×h

= 9m×4m×5m

= 180m²

Answer:

shimani mashashina mashina shishushi mashinana

Answer:

A. n = 5

Step-by-step explanation:

S = n² + n

When S = 30:

                                                       n² + n = 30

Subtract 30 from both sides:  n² + n - 30 = 0

Factorize:                               (n - 5)(n + 6) = 0

Therefore                                                 n = 5 or -6

As n > 2, then n = 5 only

Answer:

-498

Step-by-step explanation:

Using BODMAS:

6+4×(18+(-32))×(7-(-2))​

6+4×(-14)×(9)

6+4×-126

= -498

Point A's y-coordinate is (B) 4.6.

So, we are aware that the circle's equation is:

(x-h)²+(y-k)²=r²

The Center is (h,k) which is (0, 0).

We have r = 5 units.

So, we obtain:

(x-h)²+(y-k)²=r²--------> (x-0)²+(y-0)²=5²------> x²+y²=25

Substitute x=-2 as the value in the equation.

(-2)²+y²=25------> y²=25-4------> y=(+/-)√21

Point A's y coordinate is positive.

(Refer to the image attached below)

y=√21-----> 4.58-----> y=4.6

Therefore, point A's y-coordinate is (B) 4.6.

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Correct question:
Point a has an x coordinate of −2 and lies in a circle with a center at (0, 0) and a radius of 5. to the nearest tenth, what is the y-coordinate for point a?

a. 4.5

b. 4.6

c. 4.7

d. 4.8

Answer:

WEll the answer is d

Step-by-step explanation:

The first (80%) mortgage has an interest rate of 4.75%, and the second (20%) mortgage has an interest rate of 7.525%. Both are 30-year fixed-rate mortgages.

======================================================

Explanation:

The formula we'll be using is

P = (L*i)/( 1-(1+i)^(-n) )

where,

---------------------

For the first mortgage (80%), we need to find out the L value

L = 80% of 175,000 = 0.80*175,000 = 140,000

The monthly interest rate is the annual rate over 12

i = r/12 = 0.0475/12 which I'll keep as a fraction

Lastly, this mortgage goes for 30 years aka 30*12 = 360 months. So n = 360.

To summarize the input values we'll use, we have,

Let's compute the monthly payment

P = (L*i)/( 1-(1+i)^(-n) )

P = (140,000*0.0475/12)/( 1-(1+0.0475/12)^(-360) )

P = 730.30627110436 approximately

P = 730.31

The first mortgage has a monthly payment of $730.31

We'll use this later.

---------------------

Now onto the second mortgage (20%)

L = 20% of 175,000 = 0.20*175,000 = 35,000

i = r/12 = 0.07525/12 which I'll keep in fraction form

n = 360 months (same as before)

In short,

So,

P = (L*i)/( 1-(1+i)^(-n) )

P = (35,000*0.07525/12)/( 1-(1+0.07525/12)^(-360) )

P = 245.32451498724 approximately

P = 245.32

The second mortgage has a monthly payment of $245.32

---------------------

The last step is to add the two monthly payments (found at the conclusion of each previous section)

730.31 + 245.32 = 975.63

The position of point S after dilating will be half of the original. The dilated point S' has been shown below.

What is dilation?

Using a modification known as dilation, an object can be resized. Through dilatation, the objects can be resized or enlarged. This transformation results in a shape that is a perfect replica of the original image. The form's dimensions do vary, though. An expansion or contraction of the original form is required for a dilatation. This shift is referred to as a scale factor.

We are given a graph showing position of point S.

Now, on dilating the point by a scale factor of \(\frac{1}{2}\), we get that the point will be located at half of the original.

The point has been located and attached in the image below.

Hence, the required solution has been obtained.

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Third quartile Q₃ of the given data is 11

correct option is: b

What is the 75th percentile value?

0.675

For instance, the median represents the 50th percentile, the first quartile represents the 25th percentile, and the third quartile represents the 75th percentile.

What exactly is Q3?

Q3, the third quartile, is known as the 'upper quartile,' and represents the 75th percentile, which means that only 25% of the values in the set are greater than this value.

given data:

7,14,8,10,7,8,9,7,14,6.

In ascending, order data is 6,7,7,7,8,8,9,10,14,14.

number of terms N = 10

therefore, third quartile Q₃ = \(\frac{3}{4} (n + 1)\)

Q₃ = \(\frac{3}{4} (10 + 1)\)

Q₃ = 8.25th term

Q₃ = 8th term + 0.25 = 11

therefore, therefore, third quartile Q₃ of the given data is 10

correct option is: b

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The amount of medicine required for a patient whose weight is 173.75 pounds will be equal to 217.18 milligrams.

The ratio notion is used in mathematics when evaluating two or more numbers. It works as a comparison tool to demonstrate how big or small a particular number is. A ratio divides two quantities to compare them.

As per the data given in the question,

Weight of patient = 164 pounds

Medicine for 164 pounds weight = 205 milligrams

Weight of another patient = 173.75 pounds

Let the amount of medicine required is x.

So,

164 pounds = 205 milligrams and,

173.75 pounds = x milligrams

Perform Cross-multiplication,

164x = 205 × 173.75

x = 35618.75/164

x = 217.18 milligrams.

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The margin of error for the survey, rounded to the nearest tenth, is approximately 4.0% when expressed as a percentage.

To determine the margin of error for a survey at the 95% confidence level, we need to calculate the standard error. The margin of error represents the range within which the true population proportion is likely to fall.

The formula for calculating the standard error is:

Standard Error = sqrt((p * (1 - p)) / n)

where p is the sample proportion and n is the sample size.

In this case, the sample proportion is 64% (or 0.64) since 64% of the 1350 surveyed residents support the plan.

Plugging in the values:

Standard Error = \(\sqrt{(0.64 * (1 - 0.64)) / 1350)}\)

\(= \sqrt{(0.2304 / 1350)} \\= \sqrt{(0.0001707)}\)

≈ 0.0131

Now, to find the margin of error, we multiply the standard error by the appropriate critical value for a 95% confidence level. The critical value corresponds to the z-score, which is approximately 1.96 for a 95% confidence level.

Margin of Error = z * Standard Error

= 1.96 * 0.0131

≈ 0.0257

Finally, to express the margin of error as a percentage, we divide it by the sample proportion and multiply by 100:

Margin of Error as Percentage = (Margin of Error / Sample Proportion) * 100

= (0.0257 / 0.64) * 100

≈ 4.0%

Therefore, the margin of error for this survey, expressed as a percentage to the nearest tenth, is approximately 4.0%.

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Answer:

180

Step-by-step explanation:

Nightly cost = x

x × 5% = Sales Tax

Total Cost : Percentage

      189     :        105%

         x       :        100%

Cross multiply:

189 × 100% = 105% × x

189 = 1.05x

189 ÷ 1.05 = x

x = 180

The sample variance is 63.54 and the sample standard deviation is 8.09. The sample variance is calculated as follows: s^2 = \frac{\sum\limits_{i=1}^n (x_i - \bar{x})^2}{n - 1}

where x_i is the i-th data point,  x bar  is the sample mean, and n is the number of data points.

In this case, the sample mean is  

x bar =31.55. Plugging in the data points and the sample mean, we get the following sample variance:

s^2 = \frac{207.36 + 102.04 + 27.04 + 106.04 + 2.24 + 8.44 + 2.24 + 4.84 + 0.64}{10 - 1} = 63.54

The sample standard deviation is calculated by taking the square root of the sample variance. In this case, the sample standard deviation is  

63.54  =8.09.

Therefore, the sample variance is 63.54 and the sample standard deviation is 8.09.

The sample variance and standard deviation are calculated using the formula for the population variance and standard deviation, but dividing by n−1 instead of n. This is because the sample variance and standard deviation are estimates of the population variance and standard deviation, and using n−1 in the denominator helps to reduce the bias in the estimates.

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Answer:

-10

Step-by-step explanation:

h(-2) = 4(-2) -2

h(-2) = -8 -2 = -10

Answer:

Step-by-step explanation:

To solve this problem, first, you have to isolate the value of x from one side of the equation.

\(\sf{4|0.5x-2.5|=0}\)

First, divide by 4 from both sides of an equation.

\(\sf{\dfrac{4|0.5x-2.5|}{4}}=\dfrac{0}{4}\)

Solve.

|0.5x-2.5|=0

0.5x-2.5=0

x=5

Therefore the correct answer is x=5.

Answer:x=5 nice day

Step-by-step explanation:I now did this

Answer:

ur wegfew

Step-by-step explanation:

Answer:

6?6?6?6?=6 can be 6+(-6)+*6+6which is equal to 6

I MADE ONE OF THE SIXS NEGATIVE SO, IT CAME AS 6+ NEGATIVE 6=0 AND THEN MULTIPLIED ONE SIX SO, 0*6=0 AND THEN FOR THE LAST SIX I MADE IT ADDITION SO, 0+6=6

AND THUS, FINAL ANSWER BECAME 6 ITSELF

Possible causal reasons for the correlation between time spent playing video games and aggression are:

1. Video games cause aggression: This suggests that playing violent video games leads to aggressive behavior. To study this causal hypothesis, one possible approach would be to randomly assign participants to play either a violent or non-violent video game for a certain amount of time and then measure their level of aggression using a standardized aggression scale. This could be repeated with different samples to increase the reliability of the results.

2. Aggressive individuals seek out violent video games: This suggests that individuals who are already predisposed to aggression are more likely to choose to play violent video games. To test this hypothesis, researchers could administer an aggression scale to participants before asking them to report how often they play video games, and what types of games they prefer. The correlation between aggression scores and the amount of time spent playing violent video games would then be calculated.

3. A third variable is responsible for the relationship: This suggests that there is a third variable that causes both increased video game play and aggression. For example, this third variable could be stress levels, which may increase the likelihood of both playing video games and displaying aggressive behavior. To study this hypothesis, researchers could measure stress levels in participants and then ask them to report how often they play video games and their level of aggression. The correlation between stress levels and both video game play and aggression could then be calculated.

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Answer:

x y-4 -1-2 -0.58 212 3

Step-by-step explanation:

Hopefully this helped

-have a great day! if u need anything just HMU and I got u

Answer:k=12/5

Step-by-step explanation:

1. Replace variables with numbers

12=5k

2. Rearrange. Divide both sides by 5

12/5=k

If we sample the function x(t) = cos(75t) at the Nyquist frequency, the resulting discrete frequency would be half of the Nyquist frequency, which is equal to half of the highest frequency component in the continuous signal.

In this case, the highest frequency component in x(t) is 75 Hz, as determined by the coefficient of t in the cosine function. According to the Nyquist-Shannon sampling theorem, to accurately represent a signal, the sampling frequency must be at least twice the highest frequency component. Therefore, the Nyquist frequency in this scenario would be 2 * 75 Hz = 150 Hz.

Since we are sampling at the Nyquist frequency, the resulting discrete frequency would be half of the Nyquist frequency, which is 150 Hz / 2 = 75 Hz. Hence, when sampling x(t) at the Nyquist frequency, the resulting discrete frequency would be 75 Hz.

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a.2.5 The probability of 3 cabs passing by 6:30 p.m. can be calculated using the Poisson distribution. b. The expected number of cabs passing by 6:10 p.m. is found by multiplying the mean rate by the duration. c. The probability of waiting more than 10 minutes for a cab can be obtained using the CDF of the exponential distribution.

a. The probability of 3 cabs passing by 6:30 p.m. can be calculated using the Poisson distribution. b. The expected number of cabs passing by 6:10 p.m. is found by multiplying the mean rate by the duration. c. The probability of waiting more than 10 minutes for a cab can be obtained using the CDF of the exponential distribution.a. The probability that 3 cabs pass by 6:30 p.m. can be calculated using the Poisson distribution. The mean number of cabs per hour is given as 5. From 6:00 p.m. to 6:30 p.m., the duration is 30 minutes, which is half an hour. The expected number of cabs passing by during this time period can be calculated as the product of the mean rate and the duration, i.e., 5 * 0.5 = 2.5. Using the Poisson distribution formula, we can find the probability of observing exactly 3 cabs during this time period.

b. The expected number of cabs that pass by 6:10 p.m. can be calculated using the same approach. The duration from 6:00 p.m. to 6:10 p.m. is 10 minutes, which is 1/6th of an hour. Multiplying the mean rate of 5 cabs per hour by the duration, we get the expected number of cabs passing by during this time period as 5 * (1/6) = 5/6.

c. To calculate the probability of waiting more than 10 minutes for a cab, we need to consider the inter-arrival time of the cabs. The inter-arrival time follows an exponential distribution, which is the reciprocal of the Poisson distribution. In this case, the mean inter-arrival time is 1/5 of an hour (since the mean rate is 5 cabs per hour). We can use the cumulative distribution function (CDF) of the exponential distribution to find the probability of waiting more than 10 minutes, which is equivalent to waiting more than 1/6th of an hour. The CDF of the exponential distribution can be evaluated to obtain the desired probability.

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The most negative number corresponds to the variable that has the largest impact on the Value of the objective function. So, maximizing it first is most efficient.

What is pivot column in simplex method?

The Simplex method's pivot column is selected by the fundamental variable's biggest reduced cost coefficient. 4. The highest ratio of right side parameters to positive coefficients in the pivot column determines the pivot row in the Simplex approach.

A location of a leading entry in the matrix's echelon structure. A pivot is a non-zero number that is either transformed into a leading 1 and then used to make 0s, or it is utilized in a pivot position to create 0s.

The element of a matrix or array chosen first by an algorithm (such as Gaussian elimination, simplex algorithm, etc.) to do particular computations is known as the pivot or pivot element.

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A 100% non-rebreather mask has a pulse oximetry reading of 88%. There is a burn centre 45 miles distant. the best course of action to do after transferring a serious burn side.


A 50-year-old man who was injured in a fire is being treated by you. He sustained 25% 2nd–3rd degree burns to his face, neck, and anterior chest. He has burned nasal hairs, and your initial survey reveals stridor.
Any damage that exceeds 10% in size should be treated in a similar manner, although significant burns are classified as those that encompass 25% or more of the total body surface area. Rapid evaluation is essential. Any blaze can be managed using the general strategy for a significant burn. The most crucial things are to take a thorough history.

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Answer:

42 cm^2

Step-by-step explanation:

armyphobic

Answer:im sorry i dont know

Step-by-step explanation:

Answer:

Any one should be variable. I am so sorry that I do not know the answer.

Step-by-step explanation: