Sum one helpppp meeeee

Answer: 3.75 miles

Step-by-step explanation:

15 divided by 4 = 3.75

2 hours can be brokens into 4 parts (30 minutes) that's why we divide 15 by 4 to find the answer.

Hope this helps!

Answer:

In 1/2 hour the boat will go 3.5 miles

Step-by-step explanation:

Comment

This is a question that uses a proportion. A proportion is 2 ratios that are equal. You must know 3 parts of the proportion to be able to solve for the 4th. Fortunately, you do.

Givens

d1 = 15 miles

t1 = 2 hours

d2 = x

t2 = 1/2 = 0.5

Equation

d1/t1 =  d2/t2              

Solution

d1/t1 =d2 / t2                   Substitute the givens into the equation

15 / 2 = d2/ 0.5               Cross multiply

2*d2 = 15*0.5

2*d2 = 7.5                        Divide by 2

2*d2/2 = 7.5/2

d2 = 3.75      

Answer:

the estimation of the quotient is  7

Step-by-step explanation:

The computation of estimating the quotient is shown below:

It is given that the number is 27

After that the two-third would be divided by 3

And, then the nine-tenth

Based on the above information, the estimation of the quotient is  

= 27 + 2 ÷ 3 ÷ 3 + 9 ÷ 10

= 27 + 0.67 ÷ 3 + 0.9

= 27.67 ÷ 3.9

= 28 ÷ 4

= 7

hence, the estimation of the quotient is  7

Answer:

135 minutes

Step-by-step explanation:

18 divided by 4

4.5 pages per minute

4.5 times 30 = 135

Answer: 135 minutes

Step-by-step explanation: 18 times 30, then divide by 4

The area of the larger figure that is similar to the smaller one is: 28.2 m².

Where A and B represent the areas of two similar figures, and a and b are their corresponding side lengths, respectively, the formula that relates their areas and side lengths is:

Area of figure A / Area of figure B = a²/b².

Given that the two figures are similar as shown in the image above, find each of their respective side lengths if we are given the following:

Perimeter of smaller figure = 20 m

Area of smaller figure = 19.6 m²

Perimeter of larger figure = 34m

Area of larger figure = x

Therefore:

20/34 = a/b

Simplify:

10/17 = a/b.

Find the area (x) of the larger figure using the formula given above:

10²/12² = 19.6/x

100/144 = 19.6/x

100x = 2,822.4

x = 2,822.4/100

x ≈ 28.2 m²

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If a laptop computer regularly cost $1096 and it’s on sale for $736 what percentage discount is being given round your answer to the nearest hundredth when necessary

step 1

Find out the difference

1096-736=$360

step 2

In this problem

$1,096 represent the 100%

so

applying proportion, find out how much percentage represent the difference

100%/1,096=x/360

solve for x

x=100*360/1,096

Answer:

y = mx + b

Step-by-step explanation:

so you first put the points on the graph and connect them with a slanted line.

Next, for your equation start of with y =

then, your going to find your slope, after you find it put it in front of x (slope x) (Ex; if the slope was 3 then it would look like this 3x)

finally you write + and the y intercept (at which point the line goes through the y axis)

the equation together should look like y = slope x + y intercept

The feature NOT associated with the function h(x) is that the domain of h(x) is [0.).

The function h(x) is defined as (x - 5)² - log₁ x + 6.

Let's analyze each given option to determine which one is NOT a key feature of h(x).

Option 1 states that the domain of h(x) is [0, ∞).

However, the function h(x) contains a logarithm term, which is only defined for positive values of x.

Therefore, the domain of h(x) is actually (0, ∞).

This option is not a key feature of h(x).

Option 2 states that the x-intercept of h(x) is (5, 0).

To find the x-intercept, we set h(x) = 0 and solve for x. In this case, we have (x - 5)² - log₁ x + 6 = 0.

However, since the logarithm term is always positive, it can never equal zero.

Therefore, the function h(x) does not have an x-intercept at (5, 0).

This option is a key feature of h(x).

Option 3 states that the y-intercept of h(x) is (0, 25).

To find the y-intercept, we set x = 0 and evaluate h(x). Plugging in x = 0, we get (0 - 5)² - log₁ 0 + 6.

However, the logarithm of 0 is undefined, so the y-intercept of h(x) is not (0, 25).

This option is not a key feature of h(x).

Option 4 states that the end behavior of h(x) is as x approaches infinity, h(x) approaches infinity.

This is true because as x becomes larger, the square term (x - 5)² dominates, causing h(x) to approach positive infinity.

This option is a key feature of h(x).

In conclusion, the key feature of h(x) that is NOT mentioned in the given options is that the domain of h(x) is (0, ∞).

Therefore, the correct answer is:

O The domain of h(x) is (0, ∞).

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i cant see very clearly the paper, however here is everything i can see and how i think they should be solved:

Step-by-step explanation:

\(standard \: form \: \rightarrow \: slope - intercept \: form.\)

Slope-intercept form:

\(y = mx + b\)

Key:

m = slope.

m = slope.b = y-intercept.

How to solve?

Simplify the standard form equation algebraically.

Our equation:

\(y - 5 = 3(x - 1)\)

Use the Distributive Property:

\(y - 5 = 3x - 3\)

Add 5 to both sides of the equation:

\(y = 3x + 2\)

Therefore,

\(y = 3x + 2 \: is \: your \: slope - intercept \: form \: equation.\)

Ummm... Are you ok? Please retype this lol

Answer:

Can anyone tell which language is this..... Lol

Answer:

Step-by-step explanation: do your work

it 5x=_2

Answer:

36.25

Step-by-step explanation:

If you want to find the rate to anything, divide the measurements by the time.

29/8= 36.25

Answer:

B

Step-by-step explanation:

A)  -4

B)  results in a non-terminating, non-repeating decimal, which is irrational

C)  2

D)  4

The least-squares regression line for the given data, treating weight (x) as the explanatory variable and miles per gallon (y) as the response variable, can be represented as y = -0.0067x + 38.703.

To find the least-squares regression line, we need to determine the slope (β1) and the y-intercept (β0) of the line. The slope represents how the response variable changes with respect to the explanatory variable, and the y-intercept represents the predicted value of the response variable when the explanatory variable is zero.

Using the given data, we can calculate the values needed for the regression line. Using linear regression techniques, the slope (β1) is determined by the formula:

β1 = Σ((xi - x bar)(yi - ybar)) / Σ((xi - x bar)²),

where xi and yi are the individual data points, x bar is the mean of the x values, and y bar is the mean of the y values.

The y-intercept (β0) can be calculated using the formula:

β0 = y bar - β1 * x bar.

After calculating β1 and β0, we can write the equation of the regression line as y = β0 + β1 * x.

By substituting the calculated values, the least-squares regression line for the given data is y = -0.0067x + 38.703. This equation allows us to predict the gas mileage (y) based on the weight (x) of the car.

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A random sample taken with replacement from the original sample, and having the same size as the original sample, is known as a "bootstrap sample" or "bootstrap replication."

Bootstrapping is a resampling technique used to estimate the sampling distribution of a statistic. When we have a limited sample size and want to draw inferences about the population, we can use bootstrapping to create multiple resamples by randomly selecting observations from the original sample with replacement.

Here's how it works:

The key idea behind bootstrapping is that the original sample serves as a proxy for the population, and by repeatedly resampling from it, we can approximate the sampling distribution of the statistic of interest. This approach is especially useful when the underlying population distribution is unknown or non-normal.

By using a bootstrap sample that is the same size as the original sample, we maintain the same sample size and capture the variability present in the original data.

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Answer:

30 or 120 /4

Step-by-step explanation:

a^p/q here p denotes power raised and q denotes inverse power or root. So, 60^1/2 denotes square root of 60 raised to power 1.

a. The probability of drawing a red ball from Box 1 is 30%.

b. If a red ball is drawn from Box 1, the probability of drawing another red ball from Box 2 on the second round is 60%.

c. If the first draw from Box 1 was black, the conditional probability of drawing a red ball from Box 3 on the second draw is 80%.

d. The probability of drawing two red balls at both draws, without any prior information, is 46%.

e. The probability of drawing a red ball at the first draw and a black ball at the second draw, without any prior information, is 21%.

a. The probability of drawing a red ball from Box 1 can be calculated by dividing the number of red balls in Box 1 by the total number of balls in Box 1. Therefore, the probability is 3/(3+7) = 3/10 = 0.3 or 30%.

b. Since a red ball was drawn from Box 1, we only consider the balls in Box 2. The probability of drawing a red ball from Box 2 is 6/(6+4) = 6/10 = 0.6 or 60%. Therefore, the probability of drawing another red ball when the first ball drawn from Box 1 is red is 60%.

c. If the first draw from Box 1 was black, we only consider the balls in Box 3. The probability of drawing a red ball from Box 3 is 8/(8+2) = 8/10 = 0.8 or 80%. Therefore, the conditional probability of drawing a red ball from Box 3 when the first ball drawn from Box 1 was black is 80%.

d. Before any draws, the probability of drawing two red balls at both draws can be calculated by multiplying the probabilities of drawing a red ball from Box 1 and a red ball from Box 2. Therefore, the probability is 0.3 * 0.6 = 0.18 or 18%. However, since there are two possible scenarios (drawing red balls from Box 1 and Box 2, or drawing red balls from Box 2 and Box 1), we double the probability to obtain 36%. Adding the individual probabilities of each scenario gives a total probability of 36% + 10% = 46%.

e. Before any draws, the probability of drawing a red ball at the first draw and a black ball at the second draw can be calculated by multiplying the probability of drawing a red ball from Box 1 and the probability of drawing a black ball from Box 2 or Box 3. The probability of drawing a red ball from Box 1 is 0.3, and the probability of drawing a black ball from Box 2 or Box 3 is (7/10) + (2/10) = 0.9. Therefore, the probability is 0.3 * 0.9 = 0.27 or 27%. However, since there are two possible scenarios (drawing a red ball from Box 1 and a black ball from Box 2 or drawing a red ball from Box 1 and a black ball from Box 3), we double the probability to obtain 54%. Adding the individual probabilities of each scenario gives a total probability of 54% + 10% = 64%.

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The recursive formula of the geometric sequence is,

c(n)=-5c(n-1)

c(1)=-0.6

From the question, we have

the geometric sequence is,

-0.6, 3, -15, 75, ...

Common ratio, r = 3/(-0.6) = -5

The previous phrase, c(n-1), is multiplied by -5 to get the following term, c(n).

Therefore, the recursive formula for the sequence is:

c(n)=-5c(n-1)

c(1)=-0.6

Recursive Formula :

Arithmetic sequence recursive formula is another name for this formula. It is an arithmetic series, as you can see from the sequence itself, with the initial term coming after other terms, and the common difference, d, being the number you add to or subtract from each term. Geometric sequences with terms that have a common factor or common ratio between them can also have recursive functions built for them.

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Answer:

1) 80 pencils for $32

2) 15 gallons for $52

3) 2  shirts for $60

Step-by-step explanation:

1)

At $42 for 100 pencils, each pencil = $42/100 = $0.42
At $32 for 80 pencils, each pencil = $32/80 = $0.40
So better buy is 80 pencils for $32

2)

15 gal of gas for $52 ==> $3.47 per gal

7 gal for 24.50 ==> $3.50
Better buy is 15 gal of gas for $52

3)

2 shirts for $60 ==> $30 per shirt
10 shirts for $320 ==> $32 per shirt

Better buy: 2 shirts for $60

According to the given data 47% of the fans that attend the event, purchase the peanuts.

The sample collected was among 200 fans which means total fans = 200

out of which 94 fans purchased peanuts which means

Percentage of Fans purchased Peanuts  = \(\frac{94}{200}\)  X 100

                                                                     = 47 %

Not exactly the half of the fans purchased the peanuts but approximately half that is 3% less than 50 % fans puchased the peanuts which implies => 47 % fans purchased peanuts.                

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The temperature at 6pm is -13°F.

What is changes in temperature ?

      The increase in temperature demonstrates the extent of the temperature change that takes place over time. Any amount of time could be considered, such as from one day to the next or from one year to the next. You merely need to apply simple subtraction to compute the increase in temperature.

Here , The temperature at 9 am ,

=> -3.6°F

Then temperature roes 15.4°F

=> -3.6°F+15.4°F =  11.8°F

Between noon and 3pm the temperature went down 15.5°F

=> 11.8°F - 15.5°F

=> -3.7°F

Now again the temperature went down 9.3°F then,

=> -3.7°F-9.3°F

=> -13°F

Therefore the temperature at 6pm is -13°F.

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The sum of the residuals and what it tells us about the line of best fit is that: −1.06; This indicates that the line of best fit is not very accurate and is not a good model for prediction.

Mathematically, the residual value of a data set can be calculated by using this formula:

Residual value = actual value - predicted value

Next, we would determine the predicted values as follows:

At point (4, 6), we have;

Predicted value, y = 1.46x − 0.76.

Predicted value, y = 1.46(4) − 0.76.

Predicted value, y = 5.08

At point (6, 7), we have;

Predicted value, y = 1.46x − 0.76.

Predicted value, y = 1.46(6) − 0.76.

Predicted value, y = 8.

At point (7, 8), we have;

Predicted value, y = 1.46x − 0.76.

Predicted value, y = 1.46(7) − 0.76.

Predicted value, y = 9.46.

At point (9, 13), we have;

Predicted value, y = 1.46x − 0.76.

Predicted value, y = 1.46(9) − 0.76.

Predicted value, y = 12.38.

At point (10, 14), we have;

Predicted value, y = 1.46x − 0.76.

Predicted value, y = 1.46(10) − 0.76.

Predicted value, y = 13.84

At point (11, 15), we have;

Predicted value, y = 1.46x − 0.76.

Predicted value, y = 1.46(11) − 0.76.

Predicted value, y = 15.3.

Now, we can calculate the sum of the residuals as follows:

Sum of the residuals = Sum of actual values - Sum of predicted values

Sum of the residuals = (6 + 7 + 8 + 13 + 14 + 15) - (5.08 + 8 + 9.46 + 12.38 + 13.84 + 15.3)

Sum of the residuals = 63 - 64.06

Sum of the residuals = -1.06.

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Answer:

-1.06

Step-by-step explanation:

i took the test :)

Answer:

0.5(x)(x + 2) = 24 (A)

x² + 2x – 48 = 0 (D)

x² + (x + 2)² = 100 (E)

Question:

A question related to this found at brainly (ID:4482275) is stated below.

The area of the right triangle shown is 24 square feet. Which equations can be used to find the lengths of the legs of the triangle? Check all that apply.

0.5(x)(x + 2) = 24

x(x + 2) = 24

x2 + 2x – 24 = 0

x2 + 2x – 48 = 0

x2 + (x + 2)2 = 24

Step-by-step explanation:

Find attached the diagram.

Area of triangle = ½ × base × height

= 0.5×b×h

base= x ft

Height = (x+2) ft

Area = 24ft²

24 = 0.5(x)(x+2)

0.5(x)(x + 2) = 24 (A)

The equations that can be used to find the lengths of the legs of the triangle must be equivalent to 0.5(x)(x + 2) = 24

On expanding this: 0.5(x)(x + 2) = 24

0.5(x²+2x) = 24

b) x(x + 2) = 24

x(x + 2) is not equal to 0.5(x²+2x)

c) x² + 2x – 24 = 0

0.5(x²+2x) = 24

0.5x²+x - 24 = 0 is not equal to x²+2x- 24 = 0

d) x² + 2x – 48 = 0

0.5(x)(x + 2) = 24

½(x)(x + 2) = 24

x² + 2x = 2(24)

x² + 2x – 48 = 0

Correct option (D)

x² + (x + 2)² = 100

x² + x² + 4x + 4 = 100

2x² + 4x = 96

2(x² + 2x +48)= 0

x² + 2x +48 = 0 is equal to 0.5(x²+2x) = 24

Correct (E)

Answer:

A, D, E

Step-by-step explanation:

Answer:

200/1000

Step-by-step explanation:

How can we do this?

Multiply each number by 100.

2 x 100 = 200

10 x 100 = 1000

So the numerator is 200 and the denominator is 1000

or 200/1000

Fraction 2/10 with a denominator of 100 is 20/100, by multiplying 10 with numerator and denominator.

What information do we have?

Fraction = 2/10

Fraction 2/10 with a denominator of 100 = 2/10

Fraction 2/10 with a denominator of 100 = 2/10 × 10/10

Fraction 2/10 with a denominator of 100 = 20/100

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In this scenario, the goal is to compare the margin of error and construct a 95% confidence interval using the standard normal distribution with the known population standard deviation.

To calculate the margin of error when the population standard deviation is known, we use the formula:

Margin of Error = Critical value * (Population standard deviation / sqrt(sample size))

Since the sample size is 8, we need to find the critical value corresponding to a 95% confidence level in the standard normal distribution. This critical value is approximately 1.96.

Using the given population standard deviation of 9.6 minutes and the sample size of 8, the margin of error is calculated as follows:

Margin of Error = 1.96 * (9.6 / sqrt(8))

Next, we can construct the 95% confidence interval using the formula:

Confidence Interval = Sample mean ± Margin of Error

Comparing the results with the original confidence interval calculated using the t-distribution, we can see if there are any differences or similarities between the two intervals.

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Answer:

A=4  

B=8  

C=6  

D=10  

SA=208    

Surface area=bh+(s1+s2+s3)H  

=6×8+(4+6+10)(8)  

=208

Step-by-step explanation:

Answer:

Step-by-step explanation:

Answer:

Answer: C 2:3

Step-by-step explanation:

total students = 25

total girls = 15

total boys = 25-15 = 10

boys:girls = 10:15

divide by 5 to get 2:3

Answer: 3

Step-by-step explanation:

Answer:

D to E is apparently 104 degrees , G looks like it has the same measurements , so the unknown measurements will be 74 degrees,

Step-by-step explanation: