Find the slope of the line

Answer:

3 cm

Step-by-step explanation:

Answer:

the answer is 42. hope this helped

First turn 15% into a decimal.

You get .15

Then multiply .15 by 280

You get 42

Answer:

X=-11/6

Steps

f(x)=6x+11

simplify,

0=6x+11

-6x+11

Divide both sides,

Answer is x = -¹¹/6

Answer:

Mrs. Habib will have 22.25 feet of border left after she puts border around the board.

Step-by-step explanation:

You must find the perimeter of the board and subtract it from the amount of border she has to find how much she will have left after she uses it. The formula for perimeter is [tex]P=2(l+w)[/tex], where [tex]l=[/tex] the length of the board, and [tex]w=[/tex] the width of the board. You will add those together and multiply them by 2 because there are 4 sides to a rectangle. That means this equation will look like:

[tex]P=2(8.25+3.75)[/tex]

Now you can just solve for the perimeter.

[tex]P=2(12)[/tex]

[tex]P=24[/tex]

The perimeter is 24 feet. That means it will take 24 feet of border to cover her board. In order to find out how much she'll have left over, just subtract 24 from the total amount of border she has.

[tex]46.25-24=22.25[/tex]

Therefore Mrs. Habib will have 22.25 feet of border left over after she covers the bulletin board.

Answer:

15 ft

Step-by-step explanation:

If every 1/4 of an inch is a foot, than every inch is 4 feet.

1 inch = 4ft

3 inches = 12ft

1/4 + 1/4 + 1/4 = 3/4

3/4=3 ft

12+3=15ft

Answer:

Step-by-step explanation:

As triangles are similar

The ratio of the sides must be equal

so..

[tex]\frac{x}{8} =\frac{9}{5}[/tex]

[tex]x=\frac{9*8}{5}[/tex]

[tex]x=14.4[/tex]

hope it helps...

have a great day!!

Answer:

3

Step-by-step explanation:

The correct statement for the 95% confidence interval is given by

option (B) If 95% confidence intervals are calculated from all possible samples of the given size, μ will be in 95% of these intervals.

Confidence interval = 95%

Population mean μ

A confidence interval is an estimate of a population parameter  the population mean μ based on sample data.

The interpretation of a 95% confidence interval is that ,

Sample from the population and construct 95% confidence intervals,

Approximately 95% of these intervals would contain the true population parameter.

Therefore, statement (B) accurately reflects the concept of confidence intervals.

It states that if we calculate 95% confidence intervals from all possible samples of the given size,

The true population mean μ will be within 95% of these intervals.

This aligns with the interpretation of a confidence interval as a measure of the precision or reliability of our estimate.

The other statements which are not accurate,

(A) There is no probability associated with a specific confidence interval.

Confidence intervals provide a range of plausible values, but they do not represent probabilities of the parameter being within that range.

(C) Calculating confidence intervals from all possible samples will not guarantee that 95% of them will be (23, 45).

The specific values of the confidence intervals will vary across samples.

(D) Confidence intervals provide a range in which we are confident the true parameter lies.

But it does not imply that the sample mean x falls within that range with 95% certainty.

(E) The margin of error is the half-width of the confidence interval, which represents the maximum amount of error we expect in our estimate.

Here, the margin of error would be (45 - 23) / 2 = 11, not 22.

Therefore , for the confidence interval 95% option B is correct.

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Answer:

A. Strong

Step-by-step explanation:

I took the test

Have a great day! ;)

This trend line is a strong fit for these data. Then the correct option is A.

A linear system is one in which the parameter in the equation has a degree of one. It might have one, two, or even more variables.

Bridget has captured many purple-footed bog frogs.

She weighs each one and then counts the number of yellow spots on its back.

This trend line is a strong fit for these data.

Because all the points are closer to the line.

Then the correct option is A.

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Answer:

Step-by-step explanation:

How to write numbers in standard form:

Write the first number 8.

Add a decimal point after it: 8.

Now count the number of digits after 8. There are 13 digits.

So, in standard form: 81 900 000 000 000 is 8.19 × 10¹³

Jordan has run 21/4 miles after 6 days.

Jordan runs to the end of his street and back home every day and the total distance of a trip to the end of the street and back home is 7/8 mile.

Since Jordan runs to the end of the street and back home every day, the distance he runs in one day is given by;

2 × (distance to the end of the street)

= 7/8 mile (distance to the end of the street)

= 7/16 mile

The distance Jordan runs in 6 days is;

6 × (distance to the end of the street and back home)

= 6 × 7/8 miles

= 42/8 miles

= 21/4 miles

Therefore, Jordan has run 21/4 miles after 6 days.

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Answer:

Hey kid stop cheating XDDDDDDDDDDDDDDDDDDD

Step-by-step explanation:

In a two-tail hypothesis test, if the calculated test statistic (z-statistic) is -1.58 and the level of significance is used, the decision will depend on comparing the z-statistic to the critical values of the standard normal distribution corresponding to the desired level of significance.

Explanation: In a two-tail hypothesis test, the null hypothesis assumes that there is no significant difference between the sample and population parameters. The alternative hypothesis, on the other hand, suggests a significant difference. The level of significance, denoted as α, determines the critical values that divide the rejection and non-rejection regions.

If the calculated test statistic, in this case -1.58, falls within the rejection region, which is determined by the critical values, we reject the null hypothesis. If the test statistic falls outside the rejection region, we fail to reject the null hypothesis.

To make a decision, we compare the z-statistic to the critical values corresponding to the level of significance. If the z-statistic of -1.58 falls outside the critical values, it means it is not extreme enough to reject the null hypothesis, and we fail to reject it. However, if the z-statistic falls within the critical values, we reject the null hypothesis in favor of the alternative hypothesis.

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Answer:

C. -6 ≤ y < ∞

C is correct

Step-by-step explanation:

edmentum

The variance of the sampling distribution of means, on the other hand, is equal to the variance of all possible sample means of the same size taken from the population.

Since a sample size is always less than the population size, the variance of the population distribution is greater than the variance of the sampling distribution of means.

Therefore, option B is correct.
The probability of selecting one data value less than 190 IS (C)31%

When the variances of the population distribution and the sampling distribution of means are compared, the (B) population variance is larger than the sampling distribution variance.

The probability of selecting one data value less than 190 given the mean and standard deviation of a population of 200 and 20 respectively is 31% (option C).

Solution: Given,

mean (μ) = 200,

standard deviation (σ) = 20

We need to find the probability of selecting one data value less than 190.

P(x < 190) = ?

Z = (X - μ)/σ

Taking X = 190,

Z = (190 - 200)/20

= -0.5

From the standard normal table, the probability of

Z = -0.5 is 0.3085

Therefore,

P(x < 190) = P(Z < -0.5)

= 0.3085

= 31%

Hence, option C is correct.

When the variances of the population distribution and the sampling distribution of means are compared, the population variance is larger than the sampling distribution variance.

This can be explained as follows;

The population distribution is the distribution of an entire population, while the sampling distribution of the mean is the distribution of the means of all possible samples of a specific size drawn from that population.

The variance of the population distribution is equal to the variance of a single observation of the population.

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The estimated flow rate is approximately 3.94 cm3/s.

To estimate the flow rate at t=9s, we can use the formula:

flow rate = change in volume / change in time.

Using the data given, we can calculate the change in volume and change in time for the interval between t = 8s and t = 11s.

Change in volume = 36.04 - 24.23 = 11.81 cm³

Change in time = 11 - 8 = 3s

Now, we can plug these values into the formula to find the flow rate:

flow rate = change in volume / change in time = 11.81 cm3 / 3s ≈ 3.94 cm3/s

Therefore, the estimated flow rate at t=9s is approximately 3.94 cm3/s.

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The probability of F'UA is 0.9458.

According to the given data; the probability of ovont F is 0.2907, the probability of event A is 0.1849 and the probability of the driver is female and is 24 years old or less is 0.0542.

Here are the required probabilities;

a. The probability of FUA:F: Female U: 24 years old or less A: Fatal vehicle accident We can find the probability of FUA using the formula; P(FUA) = P(F ∩ U ∩ A)

We know that the probability of the driver in a fatal vehicle accident is female is 0.2907P(F) = 0.2907 Also, we know that the probability that the driver is 24 years old or less is 0.1849.P(U) = 0.1849

We also know that the probability that the driver is female and is 24 years old or less is 0.0542.P(F ∩ U) = 0.0542Now we can use the formula; P(FUA) = P(F ∩ U ∩ A)= P(F) x P(U) x P(A|FU)= 0.2907 × 0.1849 × (0.0542 / 0.2907)= 0.0542

So, the probability of FUA is 0.0542.

b. The probability of F'UA: It can be calculated by using the complement of FUA.P(F'UA) = 1 - P(FUA)= 1 - 0.0542= 0.9458

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Answer:

Step-by-step explanation:

Given data: The probability that the driver in a fatal vehicle accident is female (event F) is 0.2907. The probability that the driver is 24 years old or less (event A) is 0.1849. The probability that the driver is female and is 24 years old or less is 0.0542.

a) The probability of FUA is 0.4214.

b) The probability of F'UA is 0.5786.

a) The probability of FUA can be calculated as follows:

P(FUA) = P(F) + P(A) - P(F ∩ A) [By Addition Law], Where P(F) = 0.2907, P(A) = 0.1849, P(F ∩ A) = 0.0542.

By putting these values in the above equation we get:

P(FUA) = P(F) + P(A) - P(F ∩ A)

= 0.2907 + 0.1849 - 0.0542

= 0.4214

Therefore, the probability of FUA is 0.4214.

b) The probability of F'UA can be calculated as follows:

P(F'UA) = P(F' ∩ A') [By Complement Law], Where

P(F' ∩ A') = 1 - P(FUA)

= 1 - 0.4214

= 0.5786

Therefore, the probability of F'UA is 0.5786.

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The center of the circle is point: C=(−2,−7).

Answer:

8. center: (-7,5)

radius: 9

Step-by-step explanation:

8. to find the center, you need to get the equation in the form of (x-h)^2+(y-k)^2=r^2

you can do this by completing the square:

x^2+y^2+14x-10y-7=0

x^2+14x+49+y^2-10y+25=7+49+25

(x+7)^2+(y-5)^2=81

so, the center is (-7,5) and the radius is 9

Answer:

Taxes are money paid to the government, you need to pay these for the army , teachers, and it forms a better economy etc.!:) Have a nice day friend.

Step-by-step explanation:

rylee1015, it does matter because you are copying answers just to get points, and it might be wrong which is not fair, so stop it!!!:(

Answer:

it's radius is 9 and diameter is 18

Answer:

diameter=18cm

radius =diameter/2=18/2=9cm

The tax rate required to meet the budgetary demands is 2.5%.

According to the given information;

Total property value in the community = $120,000,000

Total amount required to provide a government service = $3,000,000

Now, to find the tax rate required to meet the budgetary demands we will use the formula;

Tax Rate = (Total amount required to provide a government service / Total property value in the community) × 100

Substitute the given values in the above formula;

Tax Rate = ($3,000,000 / $120,000,000) × 100= 2.5%

Thus, the tax rate required to meet the budgetary demands for a community is 2.5 percent.

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Answer:

hh

Step-by-step explanation:

Answer: See attachment below (graphing)

Step-by-step explanation:

INFORMATION:

The slope-intercept is when y=mx+b

mx=the slope

b=y-intercept

REPHRASE EQUATION:

y=mx+b

y=-3-x

y=(-1)x-3

CONCLUSION:

Slope=-1

Y-intercept=-3

Hope this helps!! :)

Please let me know if you have any questions

Answer:

the graph​: y = -3 - x

Answer:

D)

Step-by-step explanation:

Sana maka tulong po

shout out tga pagadian

Answer:

The answer is A 56.25

Step-by-step explanation:

Since a square has 4 sides, divide 225 by 4 to get 56.25. To check your answer multiply 56.25 x 4 to get 225 in^2.

Hope this helps! Pls mark Brainliest!

Answer:

a.56.25

Step-by-step explanation:

The probability of finding four or more tanks in the system at any time is approximately 0.95. The probability of having 6 or more tanks in the system is approximately 0.77.

A. The utilization of the test station is calculated by dividing the average service rate (1 tank per 8 minutes) by the arrival rate (1 tank every 16 minutes). Utilization = Service rate / Arrival rate = 1/2 = 0.5 or 50%.

B. The probability that a tank has to wait in the queue prior to testing can be calculated using the queuing theory formula for the M/M/1 queue. In this case, the utilization (ρ) is 0.5. The formula for the probability of waiting in the queue (Pw) is Pw = ρ^2 / (1 - ρ) = 0.5^2 / (1 - 0.5) = 0.25 / 0.5 = 0.5 or 50%.

C. The mean time a tank spends in the queue can be calculated using Little's Law, which states that the mean number of customers in a stable system (L) is equal to the arrival rate (λ) multiplied by the mean time spent in the system (W). In this case, L = λ * W. The mean number of tanks in the queue (Lq) can be calculated using Lq = λ * Wq, where Wq is the mean time spent in the queue. Given λ = 1/16 tanks per minute and Lq = 8 tanks, we can rearrange the equation to solve for Wq: Wq = Lq / λ = 8 / (1/16) = 128 minutes / 16 = 8 minutes.

D. The mean time a tank spends in the system (queue + test) is equal to the mean time spent in the queue (Wq) plus the mean service time (1/8 tanks per minute). Therefore, the mean time in the system (Ws) is Ws = Wq + 1/μ = 8 + 1/8 = 8.125 minutes.

E. The mean number of tanks expected to be in the queue at any time can be calculated using Little's Law: Lq = λ * Wq. Given λ = 1/16 tanks per minute and Wq = 8 minutes, we can calculate Lq: Lq = (1/16) * 8 = 0.5 tanks.

F. The mean number of tanks expected to be in the system at any time can be calculated using Little's Law: L = λ * Ws. Given λ = 1/16 tanks per minute and Ws = 8.125 minutes, we can calculate L: L = (1/16) * 8.125 = 0.507 tanks.

G. The probability of finding four or more tanks in the system at any time can be calculated using the Poisson distribution formula. By summing the probabilities for four, five, and more tanks, we get 0.043.

H. The probability of having 6 or more tanks in the system can also be calculated using the Poisson distribution formula, which results in a probability of 0.002.

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Answer: She's wrong.

Step-by-step explanation:

Numbers of hours used in solving homework last week = 15

Numbers of hours used in solving homework this week = 18

Percentage increase = (18 - 15) / 15 × 100

= 3/15 × 100

= 1/5 × 100

= 20%

Since Maxie said that she spent 120% more time doing homework this week, she's wrong. She only spent 20% more.