. jack has a piece of rope that is 7.5 meters long. he gives his sister a 150 cm piece. he cuts the remaining piece into 10 equal sections. how long is each section?

The length of line CD is 15 cm.

To calculate the length of line CD, we can use the property of similar triangles.

In triangle ABC, we can see that triangle ABE is similar to triangle ACD.

Using the property of similar triangles, we can set up the following proportion:

AB/AC = BE/CD

Substituting the given values:

12/18 = 10/CD

To solve for CD, we can cross-multiply and solve the resulting equation:

12 × CD = 18 × 10

CD = (18 × 10) / 12

CD = 180 / 12

CD = 15

Therefore, the length of line CD is 15 cm.

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The median is the best measure of center and equals 11 from box plot

A box plot uses a number line from 6 to 21 with tick marks every one-half unit.

The box extends from 10 to 15 on the number line.

A line in the box is at 11. The lines outside the box end at 7 and 20.

Based on the information provided in the box plot, the best measure of center for the data shown is the median.

The median is represented by the line within the box, which is at 11. Therefore, the best measure of center for the data is the median, and its value is 11.

Hence, the median is the best measure of center and equals 11.

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Answer:

Step-by-step explanation:

it is 6 because it is there 2 times

Answer:

Blue: P=4x +2+7x +7+5x-4 --> 16x +9-4=16x +5

Red: P=x+3+2x - 5 + x + 7 --> 4x + 10 - 5 = 4x + 5

Difference between the perimeter:

(16x + 5) - (4x + 5) = 16x + 5 - 4x - 5 = 12x

Perimeter when x = 3

Blue : 16x + 5 ⇒ 16(3) + 5 = 48 + 5 = 53

Red: 4x + 5 ⇒ 4(3) + 5 = 12 + 5 = 17

Step-by-step explanation:

I hope this is right!

A bar graph would be the best graphical representation to display this type of data.

Given data ,

A random sample of 50 purchases from a particular pharmacy was taken.

The type of item purchased was recorded, and a table of the data was created.

Now , Item Purchased Health & Medicine Beauty Household Grocery

Number of Purchases 10 18 15 7

A bar graph would be the best graphical representation to display this type of data. The bar graph would have four bars representing the different categories of items purchased, and the height of each bar would represent the number of purchases in that category.

Hence , the bar graph is solved

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Main Answer:The approximate normal probability that more than 39 accounts receivable will contain errors is approximately  84.13%.

Supporting Question and Answer:

What is the significance of using the normal approximation to the binomial distribution in solving the given problem?

The normal approximation to the binomial distribution is employed when certain conditions are met, namely a large sample size (n ≥ 30) and both np and n(1-p) being greater than 5. This approximation allows us to estimate the probabilities associated with the binomial distribution using the standard normal distribution. By utilizing this approximation, we can simplify calculations and apply readily available tools such as z-scores and normal distribution tables or calculators. It enables us to estimate the probability of events, such as obtaining a certain number of accounts with errors, without relying on computationally intensive calculations associated with the binomial distribution formula.

Body of the Solution: To solve this problem, we can use the normal approximation to the binomial distribution. When the sample size is large (n ≥ 30) and both np and n(1-p) are greater than 5, we can approximate the binomial distribution with a normal distribution.

Given: True proportion of accounts receivable with errors (p) = 0.20 Sample size (n) = 225

To calculate the probability that more than 39 accounts receivable will contain errors, we need to find the probability of getting 39 or fewer accounts with errors and then subtract it from 1.

Let's calculate the mean (μ) and standard deviation (σ) of the binomial distribution:

μ = n × p

= 225 × 0.20

= 45

σ = √(n ×p × (1 - p))

= √(225 × 0.20× (1 - 0.20))

= √(225 × 0.20 × 0.80)

=6

Now, let's calculate the z-score for 39:

z = (x - μ) / σ

= (39 - 45) / 6

= -1

Using a standard normal distribution table or calculator, we can find the probability associated with the z-score of -1, which is approximately 0.1587.

The probability of getting 39 or fewer accounts with errors is 0.1587.

To find the probability of more than 39 accounts with errors, subtract the above probability from 1:

P(X > 39) = 1 - P(X ≤ 39)

= 1 - 0.1587

= 0.8413

Therefore, the approximate normal probability that more than 39 accounts receivable will contain errors is approximately 0.8413, or 84.13%.

Final Answer: Thus, the approximate normal probability that more than 39 accounts receivable will contain errors is approximately  84.13%.

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The approximate normal probability that more than 39 accounts receivable will contain errors is approximately  84.13%.

The normal approximation to the binomial distribution is employed when certain conditions are met, namely a large sample size (n ≥ 30) and both np and n(1-p) being greater than 5. This approximation allows us to estimate the probabilities associated with the binomial distribution using the standard normal distribution. By utilizing this approximation, we can simplify calculations and apply readily available tools such as z-scores and normal distribution tables or calculators. It enables us to estimate the probability of events, such as obtaining a certain number of accounts with errors, without relying on computationally intensive calculations associated with the binomial distribution formula.

To solve this problem, we can use the normal approximation to the binomial distribution. When the sample size is large (n ≥ 30) and both np and n(1-p) are greater than 5, we can approximate the binomial distribution with a normal distribution.

Given: True proportion of accounts receivable with errors (p) = 0.20 Sample size (n) = 225

To calculate the probability that more than 39 accounts receivable will contain errors, we need to find the probability of getting 39 or fewer accounts with errors and then subtract it from 1.

Let's calculate the mean (μ) and standard deviation (σ) of the binomial distribution:

μ = n × p

= 225 × 0.20

= 45

σ = √(n ×p × (1 - p))

= √(225 × 0.20× (1 - 0.20))

= √(225 × 0.20 × 0.80)

=6

Now, let's calculate the z-score for 39:

z = (x - μ) / σ

= (39 - 45) / 6

= -1

Using a standard normal distribution table or calculator, we can find the probability associated with the z-score of -1, which is approximately 0.1587.

The probability of getting 39 or fewer accounts with errors is 0.1587.

To find the probability of more than 39 accounts with errors, subtract the above probability from 1:

P(X > 39) = 1 - P(X ≤ 39)

= 1 - 0.1587

= 0.8413

Therefore, the approximate normal probability that more than 39 accounts receivable will contain errors is approximately 0.8413, or 84.13%.

Thus, the approximate normal probability that more than 39 accounts receivable will contain errors is approximately  84.13%.

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The relative rate of change of f(x) at x = 34 is -3.

To find the relative rate of change of f(x) at the indicated value of x, we need to calculate the derivative of f(x) and evaluate it at x = 34.

Given that f(x) = 297 - 3x, we can differentiate it with respect to x to find the derivative:

f'(x) = -3

The derivative f'(x) represents the rate of change of f(x) at any given x value. Since f'(x) is a constant (-3), it doesn't change with different x values.

Therefore, the relative rate of change of f(x) at x = 34 is -3.

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If a relationship between two variables is called statistically significant, it means that the investigators think the variables are a. related in the population represented by the sample.

If a relationship between two variables is called statistically significant, it means that the investigators think the variables are related in the population represented by the sample. This means that the results of the study can be generalized to the larger population with a high degree of confidence.
Statistical significance refers to the likelihood that the results of a study are not due to chance. When researchers perform a statistical test, they calculate the probability that the observed relationship between the variables occurred by chance alone. If this probability is very low (usually less than 5%), then the results are considered statistically significant.
It's important to note that statistical significance does not necessarily mean that the relationship between the variables is strong or important. It simply means that the relationship is unlikely to be due to chance. Therefore, choice D ("very important") is not the correct answer. Choice B ("not related in the population represented by the sample") is also incorrect, as a statistically significant relationship indicates that the variables are related. Choice C ("related in the sample due to chance alone") is also incorrect, as statistical significance means that the relationship is not due to chance alone.

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Answer: 0.4

Step-by-step explanation:

The number that occurs the most

The first four nonzero terms of the Maclaurin series for the function g(x) = (1+x)e^(-x) are:

g(0) = 1

g'(0) = -1

g''(0) = 1

g'''(0) = -1/3

The Maclaurin series is a way of representing a function as an infinite sum of its derivatives evaluated at zero.

The first term in the series is the value of the function at zero, which is 1 in this case. The second term is the first derivative of the function evaluated at zero, which is -1. The third term is the second derivative evaluated at zero, which is 1. And the fourth term is the third derivative evaluated at zero, which is -1/3.

These terms continue on indefinitely to form the complete Maclaurin series for g(x) = (1+x)e^(-x).

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The derivative of the function f is f'(x) = x^3 - 8x^2, and the original function f can be obtained by integrating the derivative.

The given derivative, f'(x) = x^3 - 8x^2, represents the rate of change of the function f with respect to x. To find the original function f, we need to integrate the derivative.

Integrating the derivative f'(x), we obtain:

f(x) = ∫(x^3 - 8x^2) dx

To integrate x^3, we add 1 to the exponent and divide by the new exponent:

∫x^3 dx = (1/4)x^4 + C1, where C1 is the constant of integration.

To integrate -8x^2, we use the same process:

∫-8x^2 dx = (-8/3)x^3 + C2, where C2 is another constant of integration.

Combining the two results, we have:

f(x) = (1/4)x^4 - (8/3)x^3 + C, where C = C1 + C2 is the overall constant of integration.

Thus, the original function f, corresponding to the given derivative, is f(x) = (1/4)x^4 - (8/3)x^3 + C.



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The probability of spinning "C" and flipping "heads" is 0.125 or 12.5%.

Assuming the spinner is fair and has 4 equal-sized sections, the probability of spinning "C" is 1/4 or 0.25. And the coin is fair, the probability of flipping "heads" is 1/2 or 0.5.

The probability of spinning "C" and flipping "heads" is calculated as,

P = (Probability of spinning "C") × (Probability of flipping "heads")

P = 0.25 × 0.5

P = 0.125

Therefore, the probability is 12.5%.

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Yes, the segments CD || ĀB. This is because the ration of the EC to CA and ED to DB are equal.

For CD || ĀB to be true, then

EC/CA = ED/DB

12/4 = 3

14/14/4.6666666667 = 3.

Hence, since EC/CA = ED/DB

Then the segments are parallel and is written as

CD || ĀB

If two lines in a plane never collide or cross, they are said to be parallel. The distance between two parallel lines is always the same.

If two line segments in a plane may be stretched to produce parallel lines, they are parallel. A polygon has a pair of parallel sides if two of its sides are parallel line segments.

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1. The first term is a_1 = 1.
2. The difference between any two consecutive terms, 1 - a_n, is 17 for n ≥ 1.

Using the information above, we can define the arithmetic sequence as follows:

a_n = a_1 + (n - 1)d, where a_n is the nth term, a_1 is the first term, n is the position of the term, and d is the common difference between terms.

Now let's use the information given to find the common difference (d).

1 - a_n = 17

We know that a_1 = 1, so when n = 1:

1 - a_1 = 17
1 - 1 = 17
d = -16

Now that we know d = -16, we can plug it into the formula for the nth term of an arithmetic sequence:

a_n = a_1 + (n - 1)d
a_n = 1 + (n - 1)(-16)

So, the formula for the nth term of the arithmetic sequence is:

a_n = 1 - 16(n - 1)

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The scale factor of the given scenario is 7/36.

Given that, the scale of the drawing was 7 inches = 1 yard.

We know that, 1 yard = 36 inches

The basic formula to find the scale factor of a figure is expressed as,

Scale factor = Dimensions of the new shape ÷ Dimensions of the original shape.

Here, scale factor = 7/36

Therefore, the scale factor of the given scenario is 7/36.

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Answer:

Well first you would just have to look at the equation for the volume of a pyramid. This is:

V = (length * width * height) / 3

and so we can just say all pyramids have a volume of V.

So now we want the base to be 3 times bigger which means we would have to multiple the length and width by 3 and the new volume equation would be

V = (3*length * 3 * width * height) / 3

we can factor the two 3's from the parenthesis and get

V = 9(l * w * h) /3

if we are looking at a ratio of how much the volume increases we can say

aV = b(l * w * h) /3

since:

V = (l * w * h) / 3

then:

aV = bV, divide both sides by V and:

a = b

using this we can see that the volume increases by a factor of 9 for 3 times bigger

now for 6 times

V = (6 * l * 6 * w * h) / 3, pull 6 * 6 out

V = 36(l * w * h) /3

and this one increases by factor of 36

if we see a pattern it always increases by the square of the factor of the growoth of the base

so for 9 times bigger it would be 9^2 = 81

and for 27 times bigger it would be 27^2 = 729

Step-by-step explanation:

Answer:

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

Find 25% of 240:

Add 25% to 240:

Thus, the area of the region is 4π + 8 square units.

To find the area of the region bounded by y = 8 and y = 8sin(x) in the first quadrant, we will use integration to calculate the area between the two curves on the interval [0, π/2].
Step 1: Set up the integral
To find the area between the two curves, we will subtract the lower function (y = 8sin(x)) from the upper function (y = 8) and integrate over the interval [0, π/2].
Area = ∫[8 - 8sin(x)]dx from 0 to π/2
Step 2: Integrate
Now, we will integrate the expression with respect to x:
Area = [8x - (-8cos(x))] from 0 to π/2
Step 3: Evaluate the integral at the limits
Evaluate the integral at the upper limit (π/2) and subtract the evaluation at the lower limit (0):
Area = (8(π/2) - (-8cos(π/2))) - (8(0) - (-8cos(0)))
Area = (4π - 0) - (0 - 8)
Area = 4π + 8
Thus, the area of the region is 4π + 8 square units.

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3,9,10 >>> not a right triangle. because 3^2 + 9^2 is not equal to 10^2

27, 36, 45 >>> yes, a right triangle bc 27^2 + 36^2 = 45^2

11,13,17 >>>

11^2 + 13^2 = 290

The sqrt of 290 = 17.0293863659.

If you are in the lower grades, probably your teacher expects you to round this to 17. I honestly don't know how to answer bc I don't know what your teacher's expectations are for rounding.

I am a precise person, but I could see a teacher accepting YES RIGHT TRIANGLE bc it's basically 17.

4, 8, 9 >>> NOT a right triangle.

4^2 + 8^2 = 80

The sqrt of 80 = 8.94427191

I would say NO because this does not equal 9!

If set x has 10 members, then p(x) has 1024 members and x has 1023 proper subsets.

If set x has 10 members, then the power set (or set of all subsets) of x, denoted as p(x), will have 2 to the power of 10 or 1024 members.

This is because, each of the 10 members of x, it can either be included or excluded in a subset, giving 2 options.

Multiplying these options for all 10 members gives us the total number of subsets.

As for the number of proper subsets of x, a proper subset is a subset that is not equal to the original set x.

To calculate the number of proper subsets, we need to subtract 1 (the set x itself) from the total number of subsets.

So, the number of proper subsets of x would be 1024 - 1 = 1023.

In summary, if set x has 10 members, then p(x) has 1024 members and x has 1023 proper subsets.

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Answer:

Hey hopes this helps

Step-by-step explanation:

o determine whether you should play the game or not, we can calculate the expected value (EV) of playing the game. The EV represents the average outcome you can expect over the long run if you play the game many times.

The EV can be calculated as follows:

EV = (probability of winning green * amount won from green) + (probability of winning yellow * amount won from yellow) + (probability of winning black * amount lost from black) - cost to play

Probability of winning green = 8/25

Amount won from green = $10

Probability of winning yellow = 5/25

Amount won from yellow = $15

Probability of winning black = 12/25

Amount lost from black = -$10

Cost to play = -$1

Substituting the values:

EV = (8/25 * $10) + (5/25 * $15) + (12/25 * -$10) - $1

EV = $3.20 - $1

EV = $2.20

Since the EV is positive ($2.20), this means that on average, you can expect to win $2.20 per game

The parametric equation of the line which is the intersection of the planes - x+3y+z=7 and x+y=1 is-  x= 1- t,  y= t,  z= 8- 4t.

Given:  -x+3y+z=7      - (i)

            x+y=1            - (ii)

Rearrange the equation (i) and (ii),

we get,   -x+3y+z-7=0   -(iii)

               x+y-1=0       -(iv)

To find the parametric equation of the line, solve the equation (iii) and (iv) simultaneously,

On solving the equation simultaneously we get,

4y+z-8=0

arrange this equation,  z=8-4y   -(v)

Let y=t     -(vi)

putting the value of y in equation (v)

so we get,  z=8-4t     -(vii)

putting the value of y and z in equations (iii) or (iv)

-x+3t+8-4t-7=0

x=1 -t

Therefore the parametric equation of the line which is the intersection of the planes -x+3y+z=7 and x+y=1  are x = 1 - t, y = t, z = 8 - 4t.

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The average age of the six students in the lab group is 24.33 years, and their standard deviation is approximately 10.43 years.

This means that the ages of the students vary quite a bit from the average age and are spread out over a relatively wide range.

To calculate the average age, we simply added up the ages of all six students (16 + 25 + 22 + 19 + 42 + 22 = 146) and divided by the number of students (6). This gave us an average age of 24.33 years.

To calculate the standard deviation, we used the formula for the sample standard deviation. First, we found the deviation of each age from the mean by subtracting the mean age (24.33 years) from each individual age.

Next, we squared each deviation, summed up the squares, and divided by the sample size minus one (i.e., 5). Finally, we took the square root of the result to obtain the standard deviation of approximately 10.43 years.

The standard deviation tells us how much the ages of the students in the lab group vary from the average age. A larger standard deviation indicates that the ages are more spread out and do not cluster closely around the mean.

In this case, the relatively large standard deviation suggests that the ages of the students in the lab group are widely dispersed and do not have a particularly narrow range.

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Step-by-step explanation:

For Taxi A,

Every 40 miles would cost £35, so for 240 miles:

240 miles ÷ 40 miles = 6 (number of 40-mile trips)

6 trips x £35 per trip = £210 (original cost without discount)

With a 15% discount,

15% of £210 = £31.50 (discount amount)

£210 - £31.50 = £178.50 (final cost after discount)

For Taxi B,

240 miles x £0.70/mile = £168 (final cost)

Therefore, the cheaper taxi journey for Corey would be Taxi B, which would cost £168.

The estimated probability of having between 32 and 48 girls born out of 80 births in the hospital is approximately 0.967, or 96.7%.

The probability of having k girls born in a sample of size n, where the probability of success (having a girl) is p, is given by the formula: P(k) = (n choose k) * p^k * (1-p)^(n-k). Using this formula with n = 80, p = 0.5, and k ranging from 32 to 48 inclusive, we can estimate the probability of having between 32 and 48 girls born out of 80 births in the hospital.

The binomial distribution is a probability distribution that describes the number of successes in a fixed number of independent trials, where each trial has the same probability of success. In this case, we have 80 independent trials (births), each with a probability of success (having a girl) of 0.5.

The probability of having k girls born in a sample of size n is given by the formula P(k) = (n choose k) * p^k * (1-p)^(n-k), where (n choose k) is the binomial coefficient, which represents the number of ways to choose k items from a set of n items. In this case, we want to estimate the probability of having between 32 and 48 girls born out of 80 births in the hospital.

To calculate this probability, we need to sum the probabilities of having 32, 33, 34, ..., 47, or 48 girls born. This can be done using a calculator or a computer program that can evaluate the binomial distribution function. The estimated probability of having between 32 and 48 girls born out of 80 births in the hospital is approximately 0.967, or 96.7%. This means that it is very likely that between 32 and 48 girls will be born out of 80 births in the hospital, assuming that boys and girls are equally likely.

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The correct critical value(s) to be used in drawing a conclusion for a two-tailed test about a proportion at the 0.01 level of significance is +2.575 and -2.575.

When conducting hypothesis testing, critical values are used to determine the rejection region for the null hypothesis. The rejection region is determined based on the level of significance and the degrees of freedom.

For a two-tailed test at the 0.01 level of significance, the rejection region is divided between the upper and lower tails of the distribution, each containing 0.005 of the area.

The critical values for the upper and lower tails can be found using a standard normal distribution table or calculator. For a significance level of 0.01, the critical values are +/- 2.575, which corresponds to the area of 0.005 in each tail.

Therefore, if the test statistic falls outside the range of -2.575 to 2.575, the null hypothesis can be rejected at the 0.01 level of significance.

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The Taylor polynomial of degree 5 of the function f(x) = cos(x) at a = 0 is t5(x) = 1 - x^2/2 + x^4/24.

To find the Taylor polynomial of degree 5 of f(x) = cos(x) at a = 0, we need to compute the function's derivatives up to the fifth order and evaluate them at a = 0. Therefore, the Taylor polynomial of degree 5 of f(x) = cos(x) at a = 0 is t5(x) = 1 - x^2/2 + x^4/24.

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The optimum price the retailer should charge per pair if she can only set one price for all four weeks is $14.29, and her corresponding revenue will be $40,000.

To find the optimum price, we need to calculate the total revenue for each price and choose the one with the maximum value. We can write the total revenue for the four weeks as R(P) = D1(P) + D2(P) + D3(P) + D4(P), where D1(P), D2(P), D3(P), and D4(P) are the demand functions for each week. Substituting the given demand functions, we get R(P) = (3000 - 100P) - 100P2 - 100P3 + (600 - 100P4).

Taking the derivative of R(P) with respect to P and setting it to zero, we get -200P2 - 300P + 3000 = 0, which gives P = $14.29 as the optimum price. Substituting this price in the demand functions, we can calculate the corresponding revenue to be $40,000.

Therefore, the retailer should charge $14.29 per pair, and her revenue will be $40,000 if she can only set one price for all four weeks.

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