ABCD is a rhombus.
BCE is an isosceles triangle.
ABE is a straight line.
Work out the size of angle DCA.

Answer:

1 7/8

Step-by-step explanation:

Sorry if this is wrong <3

Answer:

3 hours.

Step-by-step explanation:

You can write the equations 65+32x=83+26x, then solve.

Rounding to the nearest hundredth, the surface area of the sphere is approximately 331.81 square meters.

What is surface area ?

Surface area is the measure of the total area that the surface of an object occupies. It is a two-dimensional measurement, typically expressed in square units, such as square meters (m²) or square feet (ft²).

The surface area (A) of a sphere with diameter d is given by the formula:

A = 4π(d/2)²

where π (pi) is a mathematical constant approximately equal to 3.14.

Substituting the given value of the diameter d = 18.3m into the formula, we get:

A = 4π(18.3/2)²

A = 4π(9.15)²

A = 4π(83.7225)

A ≈ 331.81

Therefore, rounding to the nearest hundredth, the surface area of the sphere is approximately 331.81 square meters.

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Answer:

10

Step-by-step explanation:

Given [tex]3(a^{2} +5ab) -5a^{2} -12ab[/tex]

Substitute the values:

[tex]3((2)^{2} +5 * 2 * 3) - 5 (2)^{2} - 12(2)(3)[/tex]

3(4+30) - 5(4) - 12x6
3(34) - 20 - 72
102 - 92
= 10

If a relationship between two variables is considered statistically significant, it indicates that the variables are related in the population represented by the sample.

The order of the ARIMA process:a. ARIMA(2, 1, 3) has an order of 6b. ARIMA(2, 0, 3) has an order of 5c. ARIMA(3, 0, 2) has an order of 5d. ARIMA(3, 1, 2) has an order of 6e. ARIMA (3,3,0) has an order of 3Therefore, the order of the ARIMA process for each of the given values is: ARIMA(2,1,3) is 6, ARIMA(2,0,3) is 5, ARIMA(3,0,2) is 5, ARIMA(3,1,2) is 6, and ARIMA (3,3,0) is 3.2. If a relationship between two variables is called statistically significant, it means the investigators think the variables are related in the population represented by the sample.The correct option is d. related in the population represented by the sample.Statistical significance indicates that there is a very low probability that a pattern in the data appeared by chance, rather than a real relationship between the variables. Therefore, if a relationship between two variables is considered statistically significant, it indicates that the variables are related in the population represented by the sample.

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The solution to the equation 8x - 2 - 5x + 7 = 0 is x = 15/3. This equation can be solved by using the distributive property and combining like terms.

Distributive Property is a mathematical property that allows the distribution of a multiplication operation over an addition or subtraction operation. It states that the multiplication of a sum by a number is equal to the sum of each addend multiplied by that number. This property is used to simplify equations and break down complex problems into easier ones. It can be expressed as a(b + c) = ab + ac.

8x - 2 - 5x + 7 = 0

This equation can be solved by using the distributive property and combining like terms. The distributive property states that when we multiply a number by a sum or difference of two or more numbers, we can distribute the number to each individual number and then add or subtract the results.

In this equation, we can apply the distributive property to the left side of the equation by multiplying the 8x and -5x terms by the sum of -2 and 7. This gives us the equation 8x(-2 + 7) - 5x(2 + 7) = 0.

After distributing the terms, we can then combine like terms by adding the 8x and -5x terms together. This gives us the equation 3x(-2 + 7) = 0.

Finally, we can solve for x by setting the coefficient of x equal to zero. Therefore, 3(-2 + 7) = 0, or -6 + 21 = 0. Rearranging the equation gives us x = 15/3.

Therefore, the solution to the equation 8x - 2 - 5x + 7 = 0 is x = 15/3.

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When extending beyond two dimensions, the analytical approach is generally easier to use than Euclidean geometry. The reason for this is that Euclidean geometry relies heavily on visualizing geometric shapes and their properties in three dimensions or higher, which can be difficult for most people.

In contrast, the analytical approach uses algebraic equations to describe geometric shapes and their properties, which can be more straightforward and intuitive for many individuals. The analytical approach also allows for the use of software tools to manipulate and visualize shapes in higher dimensions, which can be particularly useful for complex calculations and designs.

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The equation is y = 27(1/3)^x and the type  is a decay function

From the graph, we have the following sequence that can be used in our computation:

27, 9, 3....

The above definitions imply that we simply multiply 1/3 to the previous term to get the current term

This means that the function reduces

So, it is a decay function

For the equation, we have

y = ab^x

Where

a = y when x = 0

So, we have

y = 27(b)^x

Using the point, we have

27(b)^1 = 9

So, we have

b = 1/3

So, the equation is y = 27(1/3)^x

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The wedding ring contains a total of 18 oz (3.32 oz nickel and 14.68 oz gold) and the weight of nickel in the ring is 3.32 oz.

To solve this problem, we need to first find the total weight of the wedding ring. We know that the ratio of nickel to gold in the ring is 3:13, which means that the total ratio of nickel and gold in the ring is 3 + 13 = 16.

Since we are given that the ring contains 4.16 oz of gold, we can use this information to find the total weight of the ring. To do this, we can use a proportion:

Gold weight / Total weight = Gold ratio / Total ratio

Plugging in the values we know, we get:

4.16 / Total weight = 13 / 16

Simplifying this equation, we can cross-multiply to get:

13(Total weight) = 4.16 * 16

Solving for Total weight, we get:

Total weight = 3.32 oz of nickel and 14.68 oz of gold.

Now we can find the weight of nickel in the ring by subtracting the weight of gold from the total weight:

Weight of nickel = Total weight - Weight of gold

Weight of nickel = 3.32 - 0

Weight of nickel = 3.32 oz

Therefore, the ring contains 3.32 oz of nickel.

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Answer:

I want to say that it is E

Step-by-step explanation:

Well in terms of probability there is a 50% chance the coin will land heads and a 50% chance the coin will land tails. Since probability isn't definite you can never really get a precise number of each side. the most you could do is predict/guess

The most likely outcome is: E. They are all equally likely.

Each individual toss of a fair coin has an equal probability of being a heads or tails, regardless of what the previous tosses were. Therefore, all of the outcomes listed are equally likely. The order in which the heads and tails occur does not affect the probability of the overall outcome.

So, even though (i) has an equal number of heads and tails in an alternating pattern and (iii) has all heads, they are both equally likely to occur. The same goes for (ii) and (iv), which have an equal number of heads and tails but in a random order.

Therefore, The most likely outcome is: E. They are all equally likely.

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In prοbability fοr rejecting H0 we have a) insufficient evidence.

Prοbability is a way οf calculating hοw likely sοmething is tο happen. It is difficult tο prοvide a cοmplete predictiοn fοr many events. Using it, we can οnly fοrecast the prοbability, οr likelihοοd, οf an event οccurring. The prοbability might be between 0 and 1, where 0 denοtes an impοssibility and 1 denοtes a certainty.

Accοrding tο simulatiοn, the prοbability οf having 13 male puppies οr mοre is

the frequency οf 13 male puppies οr mοre/tοtal frequency=3/1000=0.003

Our οbserved οutcοme is 13/15=0.866

Let p be the pοpulatiοn prοpοrtiοn οf males viz 0.5. The cοrrect null and alternate hypοthesis fοr abοve test

[tex]\\H_0:p=0.5\\ H_1:p > 0.5[/tex]

We are testing if the proportion of males in οur sample is greater than 0.5.

The test statistic z is

[tex]z=\frac{\hat{p-p_0}}{\sqrt{\frac{p_0(1-P_0)}{n}}}[/tex]

Where P0 is the null hypοthesized proportion i.e. when H0:P=P0

[tex]P_0=0.5\ and\ \hat{p}=13/15=0.8667[/tex]

n= 1 because we choοse only 1 pair of dogs.

[tex]z=\frac{\hat{p-p_0}}{\sqrt{\frac{p_0(1-P_0)}{n}}}[/tex]

[tex]\\z=\frac{0.8667-0.5}{\sqrt{\frac{0.5*0.5}{1}}}[/tex]

z=0.7334

P-value= P(Z>0.7334)=0.232

We wοuld have to reject H0 if P-value<0.01 or Z>2.32

But that's nοt the case, So we don't reject the null hypothesis.

We conclude abοut H0 that there is not sufficient evidence to support the claim that proportion of males is greater than 0.5. We fail tο reject the null hypοthesis.

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The total resistance for the current is 432900 ohms.

The obstruction to current flow in an electrical circuit is measured by resistance. The Greek letter omega () represents the unit of measurement for resistance, known as ohms. Georg Simon Ohm (1784–1854), a German scientist who investigated the connection between voltage, current, and resistance, is the name given to the unit of resistance. Ohm's Law is attributed to him as its creator.

The power in parallel connection is calculated as:

Peq = P1 + P2 / (P1)(P2)

Peq = 250 + 150 / (250)(150)

For P3 and P4:

Peq2 = P3 + P4 / (P3)(P4)

Peq2 = 250 + 150 / (250)(150)

Now, the two are in series thus,

P = 250 + 150 / (250)(150) + 250 + 150 / (250)(150)

P = 2(250 + 150 / (250)(150))

P = 0.0213

The power formula is given as:

P = V(V) / R

0.0231 = (100)(100)/R

R = 432900 ohms.

Hence, the total resistance for the current is 432900 ohms.

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The population size of the bacteria strain after 3 hours of growth, starting from an initial population size of 20, is 20,000.

Exponential growth is a particular form of growth pattern in which a quantity's rate of expansion is proportionate to its present size. Several natural and man-made processes, including population expansion, compound interest, and the spread of contagious illnesses, exhibit exponential growth. Rapid and accelerating growth, in which the amount grows over time at an ever-increasingly quicker pace, are the hallmarks of exponential growth.

The exponential growth function is given as:

Nn = N0 * rⁿ

Nn is the population size at time n,

N0 is the initial population size,

r is the growth factor, and

n is the time interval.

Substituting the values we have:

N3 = 20 * 10³

N3 = 20,000

Hence, the population size of the bacteria strain after 3 hours of growth, starting from an initial population size of 20, is 20,000.

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Answer:

$62.00

Step-by-step explanation:

7% of 50 is 3.5. 17% of 50 is 8.5. 8.5+3.5 is 12. 50+12= 62.

The probability that more than 25 students in a sample of 120 students would respond that they spend more than 4 hours a night on homework is given as follows:

0.0367 = 3.67%.

The z-score of a measure X of a variable that has mean symbolized by [tex]\mu[/tex] and standard deviation symbolized by [tex]\sigma[/tex] is obtained by the rule presented as follows:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

The estimate and the sample size for this problem are given as follows:

p = 0.15, n = 120.

Hence the standard error is of:

s = sqrt(0.15 x 0.85/120)

s = 0.0326.

More than 25 students is a sample proportion above 25/120 = 0.2083, hence the probability is one subtracted by the p-value of Z when X = 0.2083, hence:

Z = (0.2083 - 0.15)/0.0326

Z = 1.79

Z = 1.79 has a p-value of 0.9633.

Hence:

1 - 0.9633 = 0.0367 = 3.67%.

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The calculated value of the volume of the rectangular prism is 18 cubic feet.

From the question, we have the following parameters that can be used in our computation:

The dimensions of a rectangular prism are 1.5 feet by 6 feet, by 2 fee

The volume of a rectangular prism is given by the formula:

V = l x w x h

where l, w, and h are the length, width, and height of the prism, respectively.

In this case, the length is 1.5 feet, the width is 6 feet, and the height is 2 feet.

Therefore, the volume is:

V = 1.5 ft x 6 ft x 2 ft

V = 18 cubic feet

So the volume of the rectangular prism is 18 cubic feet.

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Answer: 7,656.46

Step-by-step explanation:

Given is the Present Value of annuity, PV = 1,200,000 dollars.Given that 4.6% APR compounded monthly i.e. r = 4.6%/12 = 0.003833Given that 20 years of investment i.e. N = 20x12 = 240It says to find monthly income from the annuity.We know the formula for Periodic Payment (when PV is known) is given as follows :-Hence, Monthly Income would be

7,656.46 dollars.

It will take Peter approximately 12.5 years to earn back his initial investment.

Mathematical expression is defined as the collection of the numbers variables and functions by using operations like addition, subtraction, multiplication, and division.

For calculate the number of years it will take Peter to earn back his initial investment of $1,200,000 with an APR of 4.6% compounded monthly for a period of 20 years, we can use the formula for the future value of an annuity:

⇒ FV = P  ((1+r)ⁿ - 1) / r

Where: P = Payment per period

r = Interest rate per period

n = Number of periods

We need to solve for n, so we can rearrange the formula as;

n = (log(FV × r/P + 1)) / log(1+r)

Plugging in the given values, we get:

P = $6,601.34 ($1,200,000 / (12 × 20))

r = 0.046 / 12 = 0.00383333

FV = $1,200,000

n = (log(1,200,000*0.00383333/6,601.34 + 1)) / log(1+0.00383333)

n ≈ 12.5 years

Therefore, it will take Peter approximately 12.5 years to earn back his initial investment. The answer is option B.

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Answer:131

Step-by-step explanation:

2 * 2 * 2 * 2 + 20 * 5 + 15 = 2^4+100+15=16+115=131

Answer:

Step-by-step explanation:

2 * 2 * 2 * 2 + 20 * 5 + 15 =            (remember PEMDAS)

16 + 100 + 15 =

131

The slope of the line would be 0.4.

For every 5-unit change in x, the change in y is 2 units.

The slope of a line is a measure of how steeply it rises or falls. It is the ratio of the change in the vertical direction (y) to the change in the horizontal direction (x) between any two points on the line.

The slope of a line can be found by the formula :

= ( Y2 - Y1 ) / ( X 2 - X1)

= ( 2 - 0 ) / ( 5 - 0 )

= 2 / 5

= 0. 4

This is for every 1 unit change in x. For a 5 unit change in x, the change in y is:

= 0. 4 x 5

= 2 units

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Therefore , the solution of the given problem of parallelograms comes out to be C and R are equally distanced from point N, the midpoint of UE and RN Equals NC.

In Euclidean mathematics, a simple quadrilateral of two sets of equal distances is referred to as a parallelogram. In a specific kind of quadrilateral known as a parallelogram, both set of opposite sides are straight and equal. There are four types of parallelograms, 3 of which are each mutually exclusive. Rhombuses, parallelograms, squares, but also rectangles are the four distinct shapes.

Here,

We must demonstrate that OM = MR in order to establish that O is CR's middle.

=>  CO / OU Equals RC / UE

This solution can be rearranged to account for RC:

=>  RC Equals UE * (CO / OU)

But we also understand that OU = CO (since they are diagonals of the same parallelogram). Therefore:

=>  RC = UE

This indicates that point M, the CR's centre, is equally spaced from C and U. Or put another way, OM Equals MU.

To demonstrate that O is also the midpoint of UE, we can use a similar argument.

Triangles CRU and EUC are comparable to one another (by AA resemblance), so we have:

=>  UE/CR equals UC/CR

To solve for UE, rearrange this equation as follows:

=> UE = UC

As a result, C and R are equally distanced from point N, the midpoint of UE. That is to say, RN Equals NC.

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The mean weight of 32 students is 98.3 lb. The total weight of 32 students would be 3145.6 lb.

To find the total weight of 32 students, we need to multiply the mean weight of each student by the number of students. In this case, the mean weight of each student is 98.3 lb.

So, to find the total weight, we can use the formula:

Total weight = Mean weight × Number of students

Total weight = 98.3 lb × 32

Total weight = 3145.6 lb

Therefore, the total weight of 32 students would be 3145.6 lb.

It's important to note that the mean weight is the average weight of the 32 students. It is calculated by adding up the weight of each student and then dividing by the total number of students. So, if the weights of the students are evenly distributed, then the mean weight is a good estimate of the total weight. However, if the weights are not evenly distributed, then the total weight may be slightly different.

Overall, it's important to use statistical measures such as mean, median, and mode to gain insights into data and make informed decisions.

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Company A's website receives 2,000 times more visitors per year than company B's website.

To determine how many times more visitors per year the website company A receives than company B, we need to find the ratio of the number of visitors to each website. The number of visitors to company A's website is 8 x 10^6, and the number of visitors to company B's website is 4 x 10^3.

Hence, the ratio of the number of visitors to the two websites is:

8 x 10^6 / 4 x 10^3

Simplifying this expression, we can cancel out a factor of 4 x 10^3 from both the numerator and the denominator:

8 x 10^6 / 4 x 10^3 = 2 x 10^3

Therefore, company A's website receives 2 x 10^3 times more visitors per year than company B's website. This means that for every visitor that company B's website receives, company A's website receives 2,000 visitors.

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We can compare the observed difference in medians between the V and NV groups to the difference in medians generated from the simulation in order to estimate a p-value for a test for the difference in medians.

We can count the number of simulation trials where the median difference is larger than or equal to the observed median difference in order to determine the p-value (V-NV). Assume that the median difference that was recorded is 5 (V-NV = 5).

Just a small number of trials, as shown by the dotplot, have median differences higher than or equal to 5. These trials can be counted manually or with software like R or Python. Say we discover 4 trials where the median difference is higher than or equal to 5.

The p-value is then determined as the percentage of simulation trials in which the median difference is larger than or equal to the observed median difference. The p-value in this instance is 4/100 = 0.04. As a result, since the p-value is lower than the significance level, we may say that the observed difference in medians is statistically significant at the 0.05 level.

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We can say with 95% confidence that the true average number of bottles per plot in Spain’s San Martin wine-producing region is between 400 and 800 bottles.

Calculated by adding up all the numbers and dividing the result by the total number of figures supplied, the average is the middle value of the provided data set. A lot of data can be displayed using the average value, which is a numerical value.

For a confidence interval around the population mean, we can use the following formula:

CI = x + z*(σ/√n)

Where: x=600 bottles, sample mean

Standard deviation for the population (unknown)

25 is the sample size, while 1.96 is the critical number for a 95% confidence interval (from the standard normal distribution table)

We apply the formula: to determine the margin of error.

ME = z*(σ/√n)

With the sample standard deviation (s) and the following formula, we can find the population standard deviation ():

s = σ/√n

σ = s*√n

= 100*25 is 500 bottles.

When we enter all values into the calculation for the confidence interval, we obtain:

CI = 600 + 1.96*(500/√25)

CI = 600 + 1.96*100

CI = (400, 800) (400, 800)

The true average number of bottles per plot in Spain's San Martin wine-producing region is therefore between 400 and 800 bottles, and we can assert this with 95% confidence.

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The complete question is

According to an article in Travel & Leisure, an average plot of land in Spain’s San Martin wine-producing region yields 600 bottles of wine each year.10 Assume this average is based on a random sample of 25 plots and that the sample standard deviation is 100 bottles. Give a 95% confidence interval for the population average number of bottles per plot.

After answering the provided question, we can conclude that As a result, the triangles are similar according to the AA and SAS similarity criteria.

A triangle is a closed, double-symmetrical object that consists of three line segments called ends of the spectrum that intersect at three points called vertices. Triangles can be distinguished by their sides and angles. Triangles can be equilateral (equal factions), isosceles, or scalene based on their sides. Triangles are classified as acute (all angles less than 90 degrees), okay (one angle equal to 90 degrees), or orbicular (all angles greater than 90 degrees) (all angles greater than 90 degrees). The region of a triangle can be calculated using the formula A = (1/2)bh, where an is the neighbourhood, b is the triangle's base, and h is its height.

a. Here is a similarity statement that shows which triangles are similar:

Triangle ABC is the same as triangle DEF.

b. The triangles are similar in that they both have:

Angle-Angle (AA) similarity: Both triangles have two congruent corresponding angles, namely angle A and angle D and angle C and angle F.

Side-Angle-Side (SAS) similarity: The triangles have a pair of proportional length corresponding sides, AB and DE, and another pair of proportional length corresponding sides, BC and EF.

As a result, the triangles are similar according to the AA and SAS similarity criteria.

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Answer: (f+g)(x) = 3x^2-4

The person who ate more is Joe.

Fractions are type of numbers which are written in the form p/q, which implies that p parts in a whole of q.

Here p, called the numerator and q, called the denominator, are real numbers.

Total number of cookies = 12

Fraction that Joe ate = 2/3

Fraction that Peggy ate = 1/3

From the fractions itself, we can say that Joe ate more since the numerator is bigger for the fraction that Joe ate.

Number of cookies that Joe ate = 2/3 × 12 = 8

Number of cookies that Peggy ate = 1/3 × 12 = 4

Hence the number of cookies is more eaten by Joe.

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The option D is the correct answer: the smaller the standard error, the larger the sample size.

Answer:Option D: The smaller the standard errorExplanation:Estimation in statistics is the process of using data from a sample to make inferences about the characteristics of a population. In general, the larger the sample size, the more reliable the estimate of the population parameter will be. The smaller the standard error, the more precise the estimate is likely to be. The standard error is the standard deviation of the sampling distribution of the sample mean, and it measures the variability of the sample means that are computed from the different samples that could be drawn from the population.The standard error of the mean is an estimate of the standard deviation of the sampling distribution of the mean. It is a measure of how much the sample mean is likely to vary from the true population mean. The standard error is given by the formula σ / sqrt(n), where σ is the population standard deviation and n is the sample size. As the sample size increases, the denominator of this formula increases, which means that the standard error decreases. Therefore, option D is the correct answer: the smaller the standard error, the larger the sample size.

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