Work out 3.4 cos 13 degrees rounded to 2 d.p

Yes, since the set of invertible matrices is closed under addition and scalar multiplication and contains the zero matrix.

Yes, since the set of symmetric matrices is closed under addition and scalar multiplication and contains the zero matrix.

Yes, since the set of matrices with integer entries is closed under addition and scalar multiplication and contains the zero matrix.

Yes, since the set of upper triangular matrices is closed under addition and scalar multiplication and contains the zero matrix.

No, since the set of singular matrices is not closed under scalar multiplication.

Yes, since the set of matrices with trace 0 is closed under addition and scalar multiplication and contains the zero matrix.

No, since the set of matrices in reduced row-echelon form is not closed under addition.

No, since the set of matrices with all zeros in the first row is not closed under addition.

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The subject of the linear formula v = u + at is the isolated variable, which in this case is v.

The subject of a formula is the variable (which is usually called the dependent variable ) that is being worked out, this is, the variable that is isolated in one of the sides of the formula.

In this case, we have a relation:

v = u + a*t

So v is equal to u plus the product between a and t.

We can see that v is the isolated variable, thus, v is the subject of the formula.

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Answer:

The correct answer is About 6.27.

TSS stands for total sum of squares. It is a measure of the variation in the data. It is calculated as follows:

TSS = Σ(y - y^)^2

Where:

y is the observed value

y^ is the predicted value

In this case, the observed values are the December snowfall data and the predicted values are the April flowrate data.

TSS = (22 - 20.81)^2 + (23 - 21.7)^2 + (21 - 20.09)^2 + (18 - 19.28)^2 + (26 - 23.36)^2 + (21 - 20.55)^2

TSS = 6.27

Step-by-step explanation:

The Total Sum of Squares (TSS) can be calculated by first finding the mean of the dataset, then subtracting this mean from each data point, squaring the result, and summing all these squared differences. The TSS for the provided dataset is approximately 34, not among the given choices, thus 'None of the above are close' is the correct answer.

In this problem, we're asked to calculate the Total Sum of Squares (TSS), a statistical measure used to understand the variability in a dataset. For the given set of April Flowrate (Y) values, we first calculate the mean (average), which is (22+23+21+18+26+21) / 6 = 21.83 (rounded to 2 decimal places).

We then subtract this mean from each Y value, square the result, and add them together to get TSS. The calculation would proceed as follows:

The total sum of these squared differences gives us the TSS:

0.0289 + 1.3589 + 0.6889 + 14.7889 + 17.4489 + 0.6889 = 34.0034

So, the TSS for the described data set is roughly 34, which is not among the provided answer choices, so the correct answer is 'None of the above are close'.

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Hello

2/3 = 8/12

3/4 = 9/12

                9/12

0 - - - - - - - - - - - - 1 - - - - - - - - - - - - 2

              8/12

Answer :

                3/4

0 - - - - - - - - - - - - 1 - - - - - - - - - - - - 2

              2/3

=> 2/3 = the 8th graduation

=> 3/4 = the 9th graduation

=> 1 unit = 12 graduations

Answer:

[tex] {( - x)}^{4} = {( - 1)}^{4} {x}^{4} = {x}^{4} [/tex]

[tex] {( - b)}^{19} = {( - 1)}^{19} {b}^{19} = - {b}^{19} [/tex]

The quadrilateral has a area of 10 square units.

Because the vertices of the quadrilateral are p(3, 4), m(8, 4), n(5, 0).

This quadrilateral can be divided into two triangles.

For the first triangle, we can say that p(5) is the base and m(4) is the height.

Area of the triangle=1/2x5x4

                                 =5x2

                                 =10

The bases of the second triangle are p(5) and n(0).

Area of ​​the second triangle = 1/2x5x0

=0

Now the area of ​​the quadrilateral is the sum of both triangles-

Area of the first triangle + Area of the second triangle

=10+0

=10

Thus, the area of quadrilateral is 10.

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x = 58/3 = 19 1/3 = 19.333333

I'm attaching a screenshot showing this rule.

I'm using the letters from the rule shown on the screenshot bc this is the common formula used.

AB x AD = AC x AE

In your problem:

AB = 16+26=42
AD = 16

AC = 18+x

AE = 18

Substitute:

AB x AD = AC x AE

42 x 16 = (18+x)(18)

672 = 18x+18*18

672 = 18x + 324

672-324 = 18x

348 = 18x

x = 348/18 = 58/3 = 19 1/3 = 19.333333

Check:

AB x AD = AC x AE

42x16 = (18+(58/3))(18)

672 = 672

The measurement that is the same for Charles and Jermod is the median.

The median is the middle value in a set of data when it is arranged in order. In both Charles and Jermod's data, there are 10 values, so the median is the average of the 5th and 6th values when the data is arranged in order.

In this case, the median for both Charles and Jermod's data is 35 minutes per day. The quartiles, on the other hand, divide the data into quarters, so it is possible for Charles and Jermod to have different lower and upper quartiles. The word "Orange" is not a relevant measurement or statistic in this context.

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Which measurement is the same for Charles and Jermod?

median

Orange

Olower quartile

Oupper quartile

These dot plots show how many minutes Charles and Jermod spent on homework per day

for three weeks.

15 20 25 30

40 45 50 55 60

Charles's Homework (minutes per day)

15 20 25 30 35 40 45 50 55 60

Jermod's Homework (minutes per day)

Which measurement is the same for Charles and Jermod?

The approximation of the number of gallons of water in the tank at time 9 min. is 52 gallons.

Using the trapezoidal sum, the approximation of the number of gallons of water in the tank at time t = 9 is given by:

Approximation =[tex][((t_1 - t_0) / 2) * (r(t_0) + r(t_1))] + [((t_2 - t_1) / 2) * (r(t_1) + r(t_2))] + [((t_3 - t_2) / 2) * (r(t_2) + r(t_3)))][/tex]

where [tex]t_0 = 0, t_1 = 4, t_2 = 7, t_3 = 9[/tex].

Substituting the given values of r(t), we get:

Approximation = [((4 - 0) / 2) * (9 + 6)] + [((7 - 4) / 2) * (6 + 4)] + [((9 - 7) / 2) * (4 + 3))]

= (2 * 15) + (1.5 * 10) + (1 * 7)

= 30 + 15 + 7

= 52

Therefore, the approximation of the number of gallons of water in the tank at time t = 9 is 52 gallons. The answer is (A) 52.

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The irrational number can be multiplied by -~ 41 to get a product that equals 1 is 1/[tex]-\sqrt{41}[/tex] the correct option is A.

We are given that;

The number= [tex]-\sqrt{41}[/tex]

Now,

To find the irrational number that can be multiplied by sqrt(41) to get a product that equals 1, we need to find the multiplicative inverse of sqrt(41). The multiplicative inverse of a number is the number that when multiplied by the original number gives 1 as the product. For example, the multiplicative inverse of 2 is 1/2, because 2 * 1/2 = 1.

To find the multiplicative inverse of sqrt(41), we can divide 1 by sqrt(41). We get:

[tex]1 / \sqrt{41} = \sqrt{41} / \sqrt{41} \times \sqrt{41}) = \sqrt{41} / 41[/tex]

To simplify the expression, we can rationalize the denominator by multiplying both the numerator and the denominator by sqrt(41). We get:

[tex]\sqrt{41} / 41 \times \sqrt{41} / \sqrt{41} = (\sqrt{41})^2 / (41 \times \sqrt{41}) = 41 / (41 \times\sqrt{41}) = 1 / \sqrt{41}[/tex]

Therefore, by the fraction the answer will be 1/[tex]-\sqrt{41}[/tex].

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Based on simulation, the estimated probability that the profit per unit will be less than $4 is 31.6%.

To estimate the probability, we can simulate the profit per unit using a random number generator with a normal distribution based on the given mean and standard deviation. We can then count the number of times the simulated profit per unit is less than $4 and divide by the total number of simulations to get the estimated probability. By repeating the simulation multiple times and taking the average, we can increase the accuracy of the estimate. In this case, the simulation result suggests that there is a significant chance that the project may not be sustainable if the profit per unit is less than $4.

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Answer:

x + (x + 1) + (x + 2) is an example, or

x x + 1 (x + 1) + 1 = x + 2

Step-by-step explanation:

Answer:

p(girl) = 12/31

Step-by-step explanation:

p(event) = (number desired outcomes)/(total number of possible outcomes)

Here, we have 12 girls and 19 boys. The total is 12 + 19 = 31. When we pick one out of all of them, we are picking one out of 31, so the total number of possible outcomes is 31, every single one of the girls and boys.

The desired outcome is picking one girl. How many ways can you pick a girl? The answer is 12 since there are 12 different girls. The number of desired outcomes is 12.

p(girl) = (number of desired outcomes)/(total number of possible outcomes)

p(girl) = 12/31

The best words to fill the sentence on graph inequality is;

Kaniia correctly used a test point to determine what inequality to use. Ileana incorrectly used the location of shading to determine what inequality to use. The student with the correct answer is Kaniia.

The inequality is y > 3/4x - 3 is most appropriate. This is because the shaded area is above the line, indicating that y is greater than 3/4x - 3.

Kaniia correctly identified her inequality by using a test point (0,0) whereas Ileana's inequality is telling indicating that y is less than 3/4x - 3. When the shaded area is above y, it means that y is greater.

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The concept of hedonistic calculus is associated with utilitarianism and the philosophy of maximizing pleasure and minimizing pain. It is a method for calculating the overall happiness or utility of actions based on the intensity, duration, certainty, propinquity, fecundity, purity, and extent of pleasure or pain they produce.

Hedonistic calculus is a term coined by the philosopher Jeremy Bentham, who was a proponent of utilitarianism. Utilitarianism is an ethical theory that states that the right action is the one that maximizes overall happiness or utility for the greatest number of people. The goal of hedonistic calculus is to measure and compare the happiness or pleasure derived from different actions or situations.

According to Bentham, pleasure and pain are the only relevant factors in determining the moral value of an action. Hedonistic calculus involves quantifying these pleasures and pains in order to assess their overall impact. Bentham proposed seven criteria to evaluate the intensity, duration, certainty, propinquity (nearness in time), fecundity (likelihood of leading to more pleasure or pain), purity (absence of pain mixed with pleasure), and extent of the pleasure or pain produced by an action.

By assigning values to each of these criteria, hedonistic calculus aims to determine the net amount of happiness or utility generated by a particular action or decision. The idea is to maximize pleasure and minimize pain, with the ultimate goal of promoting the greatest happiness for the greatest number of individuals.

Overall, hedonistic calculus provides a systematic approach to assess and compare the consequences of actions based on their impact on pleasure and pain. It serves as a framework for utilitarians to make ethical judgments and decisions by considering the net balance of happiness produced by different choices.

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The missing length in the right triangle is 12 m by pythagorean theorem

The pythagorean theorem can only be applied to right triangles

The longest side of a right triangle is called hypotenuse the other two sides are legs

You can use this theorem to find a missing length or to prove a triangle is right triangle

The missing length in the right triangle with hypotenuse is 13 m and adjacent side is 5m

13²=5²+x²

169=25+x²

144=x²

x=12 m

Hence, the missing length in the right triangle is 12 m

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The length of a pendulum with a period of 2 seconds is approximately 51.

the formula for the period of a simple pendulum as a function of its length is given as:

t(l) = 2π √(l/32.2)

we can rearrange this equation to solve for l:

t(l) = 2π √(l/32.2)

t(l)/(2π) = √(l/32.2)

[t(l)/(2π)]² = l/32.2

l = 32.2 * [t(l)/(2π)]²

to determine the length of a pendulum with a period of 2 seconds, we can substitute t = 2 seconds into the equation above:

l = 32.2 * [2/(2π)]²

l = 32.2 * [1.2732]²

l ≈ 51.92 feet 92 feet when π is taken to be 3.14 and rounding to the nearest hundredth.

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Therefore, the probability distribution of x is:

x    P(X=x)

0    1/64

1    3/64

2    9/64

3    27/64

Let's use a probability tree to determine the probability distribution of x, the number of tails observed after 3 tosses of a biased coin where tails is three times as likely as heads.

On the first toss, the probability of observing tails is 3/4, and the probability of observing heads is 1/4. Let's label the branches T and H, respectively.

For each of the T and H branches, we repeat the same probabilities for the second and third tosses, resulting in the following probability tree:

        / T \

    / T /     \ H \

   /   /       \   \

  T   H         T   H

 / \ / \       / \ / \

T  T T  H     T  H T  H

Now, we can determine the probability of each possible outcome for x, the number of tails observed after 3 tosses:

x = 0: This can only occur if all three tosses are heads (H, H, H). The probability of this is (1/4) * (1/4) * (1/4) = 1/64.

x = 1: This can occur in three ways: (T, H, H), (H, T, H), and (H, H, T). The probability of each is (3/4) * (1/4) * (1/4) = 3/64.

x = 2: This can occur in three ways: (T, T, H), (T, H, T), and (H, T, T). The probability of each is (3/4) * (3/4) * (1/4) = 9/64.

x = 3: This can only occur if all three tosses are tails (T, T, T). The probability of this is (3/4) * (3/4) * (3/4) = 27/64.

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A Bernoulli distribution is a probability distribution of a single random experiment that can have only two outcomes, success or failure. Therefore, flipping a coin and rolling a 5-sided die cannot be Bernoulli distributions as they have more than two possible outcomes.

However, the time between visits to a doctor's office can be considered a Bernoulli distribution if we define success as visiting the doctor within a certain time frame and failure as not visiting the doctor within that time frame. A litter of puppies cannot be modeled using a Bernoulli distribution as it involves multiple events/outcomes. It is essential to note that Bernoulli distributions are used to model a single trial, whereas distributions such as the binomial and Poisson distributions are used for multiple trials or events.

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Answer:279 cm2

Step-by-step explanation:

The area of a rhombus is calculated by multiplying the length of the base by the height.

The base of the rhombus is 18 cm and the height is 15.5 cm.

Therefore, the area of the rhombus is:

18 cm × 15.5 cm = 279 cm²

So the answer is 279 cm².

The measures are m ∠RBM = 52.2°, m ∠WNH = 23.5° and m ∠WKH = 80.8°

Given that a triangle BKN, and H is the incenter of the triangle, we need to find the missing measures,

We know that the incenter of a triangle is the point where the angle bisectors meet,

So, we can say, BW, MN and RK are the angle bisectors.

So, using the property of angle bisectors, we have,

1) m ∠RBM = 2 × ∠RBH

m ∠RBM = 52.2°

2) m ∠WNH = ∠WNR / 2

m ∠WNH = 23.5°

3) m ∠WKH = 2 × ∠MKH

m ∠WKH = 80.8°

Hence the measures are m ∠RBM = 52.2°, m ∠WNH = 23.5° and m ∠WKH = 80.8°

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Answer:

The domain of a function is the set of all possible values for the input variable (x), while the range is the set of all possible values for the output variable (f(x)).

For the function f(x) = (1/6)^x + 2, the domain includes all real numbers, since any value of x can be raised to any power.

To find the range, we can look at the behavior of the function as x approaches positive and negative infinity. As x approaches negative infinity, (1/6)^x becomes very large, so f(x) approaches 2. As x approaches positive infinity, (1/6)^x becomes very small, so f(x) approaches 2 as well. Therefore, the range of the function is (2, infinity).

The coefficient of determination will be 0.36.

the coefficient of correlation measures the strength and direction of the linear relationship between two variables, while the coefficient of determination measures the proportion of the total variation in one variable that is explained by the other variable.

The coefficient of determination is equal to the square of the coefficient of correlation, so if the coefficient of correlation is -0.6, we can square it to get 0.36. Therefore, the coefficient of determination will be 0.36.

knowing the coefficient of correlation between two variables can help us determine the coefficient of determination, which represents the proportion of the variation in one variable that is explained by the other variable.

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Answer:U₁ = 2
.

Step-by-step explanation:

Un+1 = 2U₁ + 6 (Equation 1)

Uo = 10

We want to find U₁. We can start by using Equation 1 with n = 1 to get:

U2 = 2U₁ + 6

We can then use the value of Uo = 10 to find U₂ as follows:

U₂ = 2U₁ + 6

U₂ = 2U₁ + 2(3)

U₂ = 2(U₁ + 3)

We can then use the value of U₂ to find U₃:

U₃ = 2U₂ + 6

U₃ = 2(2U₁ + 2(3)) + 6

U₃ = 4U₁ + 12 + 6

U₃ = 4U₁ + 18

We can keep using this process to find Un in terms of U₁, until we reach the value of n we need. For example, we can find U₄ as follows:

U₄ = 2U₃ + 6

U₄ = 2(4U₁ + 18) + 6

U₄ = 8U₁ + 36

So we have:

Uo = 10

U₂ = 2(U₁ + 3)

U₃ = 4U₁ + 18

U₄ = 8U₁ + 36

and so on.

To find U₁, we need to use the equation for U₂:

U₂ = 2(U₁ + 3)

Substituting U₂ = 10 (from the given value of Uo), we get:

10 = 2(U₁ + 3)

Simplifying, we get:

5 = U₁ + 3

Subtracting 3 from both sides, we get:

U₁ = 2

Therefore, U₁ = 2.

Answer:

$123,809.52

Step-by-step explanation:

The total bill is equal to the purchase price of the fridge/freezer plus the sales tax.

Total = Price + Tax

We know the total is 130,000.

We don't know the price, so let's call it x.

The tax is 5% of the price, or ⁵/₁₀₀ x, or 0.05 x.

130,000 = x + 0.05 x

130,000 = 1.05 x

x = 123,809.52

According to the information, The Least Common Multiple (LCM) and the greatest common divisor (GCD) allow us to simplify fractions and solve proportion problems.

The Least Common Multiple (LCM) and  greatest common divisor (GCD) are two ways to calculate the smallest number that is a multiple of all given numbers (LCM) and is the largest number that is a common divisor of all the given numbers (GCD)

The usefulness of the LCM and GCD lies in the fact that they allow us to simplify fractions and solve proportion problems. In addition, they are useful in factoring polynomials and solving linear equations.

Note: This question is in Spanish. The answer is in English
Question:
What is th least common multiple and the greatest common divisor?

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Jenny can completely fill the glass with 1 1/11 (one and one eleventh) gallons of water approximately 11 times by using division method.

What is division?

Division is an arithmetic operation that involves splitting a quantity or number into equal parts or groups. It is the multiplication inverse operation.

To determine how many times Jenny can completely fill the glass with 1 1/11 gallons of water, we need to calculate the number of times 1 1/11 gallons can be divided by 1 1/11 gallons.

1 1/11 gallons can be represented as 12/11 gallons. Dividing 12/11 by 1 1/11 gives us:

(12/11) ÷ (1 1/11) = (12/11) ÷ (13/11) = (12/11) × (11/13) = 12/13

Therefore, 1 1/11 gallons can be divided by 1 1/11 gallons approximately 12/13 times.

Since 12/13 is approximately equal to 0.923, Jenny can completely fill the glass approximately 0.923 * 11 = 10.153 times.

Rounding to the nearest whole number, Jenny can completely fill the glass approximately 11 times.

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