Need help with 3 and 4

Answer:

The best answer would be C

Step-by-step explanation:

The square has two parallel lines and the rhombus has parallel lines as well. And when you turn the square, it looks like a rhombus. They are both parallelograms and quadrilaterals.

Hope this helps

\(7 \frac{5}{8} + 4 \frac{2}{3} \)

the simplest form.

\( \frac{61}{8} + \frac{14}{3} \)

\( = \frac{(61 \times 3) + (14 \times 8)}{8 \times 3} \)

\( = \frac{183 + 112}{24} \)

\( = \frac{295}{24} \)

\( = 12 \frac{7}{24} \)

hence, the correct answer is option D.

The identified parameters are:

ta = 6 minutes

tθ = 11 minutes

∂a = 4 minutes

∂θ = 20 minutes

ra = 1/6 minutes^(-1)

rθ = 1/11 minutes^(-1)

ta: Mean time between calls to the center

tθ: Effective response time

∂a: Standard deviation of the time between calls to the center

∂θ: Standard deviation of the effective response time

ra: Rate of calls to the center (inverse of ta, i.e., ra = 1/ta)

rθ: Rate of effective response (inverse of tθ, i.e., rθ = 1/tθ)

Given information:

Mean time between calls to the center (ta) = 6 minutes

Standard deviation of time between calls (∂a) = 4 minutes

Effective response time (tθ) = 11 minutes

Standard deviation of effective response time (∂θ) = 20 minutes

Using this information, we can determine the values of the parameters:

ta = 6 minutes

tθ = 11 minutes

∂a = 4 minutes

∂θ = 20 minutes

ra = 1/ta = 1/6 minutes^(-1)

rθ = 1/tθ = 1/11 minutes^(-1)

So, the identified parameters are:

ta = 6 minutes

tθ = 11 minutes

∂a = 4 minutes

∂θ = 20 minutes

ra = 1/6 minutes^(-1)

rθ = 1/11 minutes^(-1)

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Answer:

question one:

x = 6.018150231520483

adjacent angle = 7.986355100472928

Step-by-step explanation:

i have no links, but try to search triginometry calculator and pick carbide calculator for fast trigonometry calculations

it automaticly does sin, cos, and tan for you.

Arithmetic overflow error converting varchar to data type numeric is an error message that occurs when attempting to convert a string (varchar) data type to a numeric data type in SQL Server, and the resulting numeric value is too large to be stored in the specified data type. This error can occur when performing calculations that exceed the maximum range of the numeric data type, or when the string value contains non-numeric characters.

When attempting to convert a varchar value to a numeric value in SQL Server, the system checks if the string value contains only numeric characters and then attempts to convert it to the specified data type. If the resulting numeric value is larger than the maximum value that can be stored in the data type, an arithmetic overflow error occurs.

For example, if you have a varchar column with the value '12345678901234567890' and you try to convert it to a numeric data type with a maximum of 18 digits, an arithmetic overflow error will occur because the resulting value is larger than the maximum value that can be stored in the data type.

To avoid this error, you can either increase the precision and scale of the numeric data type to accommodate larger values or ensure that the string value contains only numeric characters before attempting to convert it. You can also use the TRY_CONVERT function instead of CONVERT function to handle the conversion errors gracefully.

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Patrick received a total of approximately $6,785.97 over the course of 52 weeks.

To calculate the total amount of money Patrick received over the 52 weeks, we can use the concept of a geometric sequence. The first term of the sequence is $10, and each subsequent term is 10% more than the previous term.

To find the sum of a geometric sequence, we can use the formula:

Sn = a * (r^n - 1) / (r - 1),

where Sn is the sum of the first n terms, a is the first term, r is the common ratio, and n is the number of terms.

In this case, a = $10, r = 1 + 10% = 1.1 (common ratio), and n = 52 (number of weeks).

Plugging these values into the formula, we can calculate the sum of the sequence:

S52 = 10 * (1.1^52 - 1) / (1.1 - 1)

After evaluating this expression, we find that Patrick received approximately $6,785.97 over the 52 weeks.

As a result, Patrick collected about $6,785.97 in total over the course of 52 weeks.

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The length of the diameter of a circle with endpoints at points (-2, 87) and (18, 91) is  20.4 units

The length of line in an ordered pair is calculated using the formula

d = √{(x₂ - x₁)² + (y₂ - y₁)²}

where

d = distance between the points

x₂ and x₁ = points in x coordinates

y₂ and y₁ = points in y coordinates

distance between points  (-2, 87) and (18, 91) is calculated as follows

d = √{(x₂ - x₁)² + (y₂ - y₁)²}

d =√{(-2 - 18)² + (87 - 91)²}

d =√{400 + 16}

d = √416

d = 20.4 units

The diameter has length 20.4 units

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Answer:

-3.25

Step-by-step explanation:

Answer:

-3.25

Step-by-step explanation:

sorry I'm wrong.....im not that good at math

Answer:

15 cm is the answer

Step-by-step explanation:

Step-by-step explanation:

15 trust me do that math and will see how it adds up

Answer:

I believe it is 2 grams.

Step-by-step explanation:

there are 1000 grams in 1 kg, there are 500 crayons, therefore each crayon weighs 2 grams

By mathematical induction every integer n > 0: 1 + 2 + 2² + ... + \(2^{n}\) = \(2^{n+1}\) - 1.

The statement using strong mathematical induction

when n = 1:

= 2¹ - 1

= 2 - 1

= 1

The statement holds true for n = 1.

Inductive Hypothesis Assume that for some integer k > 0, the statement holds true for all values of n from 1 to k. This is called the inductive hypothesis

1 + 2 + 2² + ... + \(2^{K}\) = \(2^{K+1}\)  - 1

Inductive Step We need to prove that the statement holds true for k + 1. That is, we need to show that if the statement is true for k, then it is also true for k + 1.

Consider the sum: 1 + 2 + 2² + ... + + \(2^{K}\) + \(2^{K+1}\)  Using the inductive hypothesis, we can replace the sum up to \(2^{K}\):

1 + 2 + 2² + ... + \(2^{K}\) + \(2^{K+1}\)   = \(2^{K+1-1} +2^{K+1}\)

= \(2^{K+1} + 2^{K+1} -1\)

= 2 × \(2^{K+1}\) - 1

= \(2^{K+2}\) - 1

This is equal to \(2^{k+1+1}\) - 1, which matches the form of the statement for n = k + 1.

Therefore, by strong mathematical induction, we have shown that for every integer n > 0: 1 + 2 + 2² + ... + \(2^{n}\) = \(2^{n+1}\) - 1.

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No, the presence of an effect does not necessarily imply that error variance will go away.

The presence of an effect does not necessarily imply that error variance will go away. In fact, error variance is an inherent part of any statistical model and represents the amount of variation in the response variable that is not explained by the predictor variables.

Even if a predictor variable has a significant effect on the response variable, there may still be some unexplained variation in the response that is attributable to error variance.

It is important to take into account and control for error variance in any statistical analysis, as it can affect the precision and accuracy of the estimates of the model parameters and can also influence the interpretation of the results.

One way to control for error variance is to use appropriate statistical methods, such as analysis of variance (ANOVA), regression analysis, or other modeling techniques that take into account the variability in the data.

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Answer: 13

Step-by-step explanation: it’s the average. you add up all the numbers and then divide by 7 because it’s how many numbers there are.

Answer:

9v + 9 = 0

Step-by-step explanation:

9 (-1) + 9 = 0

Answer:

75

Step-by-step explanation:

50+25=75

Answer:

75 players

Step-by-step explanation:

50+25=75

Answer:

Step-by-step explanation:

24.5 ft

DF=28

AB=4

BF= square root 35^2-28^2

BF= 21

EF= square root 35^2-25^2

EF= 24.5

ANSWER= 24.5

Answer:

That is an obtuse scalene triangle

Step-by-step explanation:

Scalene- has no congruent sides

Obtuse - has an angle that is greater than 90

we can use Pythagorean theorem to confirm this

The Pythagorean theorem states that in an obtuse triangle the hypotenuse squared is greater than the two legs squared added together

so basically \(7^2>4^2+5^2\\7^2=49\\4^2=25\\5^2=25\\25+16=41\\49>41\)

therefore it is an obtuse scalene

Answer:

(Choice E) E Scalene triangle and (Choice F) F Obtuse triangle

Step-by-step explanation:

Aside from E, Scalene triangle (as all the sides are of different lengths, we can assume that the angles will also be), the answer can either be B, Isosceles triangle or F, Obtuse triangle, so let's figure that out using the cosine rule! If it is an obtuse triangle, this means Angle ABC is bigger than Angle BAC and Angle BCA. But we can clearly see it is, as it's an Obtuse Triangle is a triangle where 1 angle is bigger than 90 degrees. Let's work out Angles BAC and BCA to find out if the triangle is obtuse or isosceles.

\(a^{2} = b^{2} +c^{2} -2bcCosA\)  This is the cosine rule formula. Now all we need to do is substitute in the values. We are using the cosine rule because we aren't given any angle values. We use Further Trigonometry instead of SOHCAHTOA as this clearly isn't a right-angled triangle. SOHCAHTOA only applies to triangles with a 90 degree angle, also known as a right-angled triangle. Let's rearrange the cosine formula so that we have everything equal to A instead.

\(A = cos^{-1}(\frac{b^{2} + c^{2} - a^{2} }{2bc})\)

We will work out BAC first.

a = 5

b = 4

c = 7

\(A = cos^{-1}(\frac{4^{2} + 7^{2} - 5^{2} }{2(4)(7)})\)

A = 44.4 rounded to 3 significant figures

Next, we will work out BCA.

a = 4

b = 5

c = 7

\(A = cos^{-1}(\frac{5^{2} + 7^{2} - 4^{2} }{2(5)(7)})\)

A = 34.0 rounded to 3 significant figures

The answer is F, Obtuse triangle and E, Scalene triangle

If we just worked out BAC, we would have noticed that by assuming BCA was also 44.4, the obtuse angle would be 91.2 degrees, which is barely above 90 degrees, therefore we would have correctly guessed the triangle as obtuse from there-on. I just worked out BCA as evidence to support that Triangle ABC cannot be isosceles, therefore we can eliminate that option and classify this triangle as Obtuse.

I hope my explanation helps!!

The assumptions for OLS estimators are linearity, independence, homoscedasticity, and no multicollinearity.

The population equalities are E(ε) = 0 and Cov(X, ε) = 0.

Under linearity, the equations become E(Y) = β₀ + β₁X.

The sample analogs are Ŷ = b₀ + b₁X.

Solving the equations gives β₀ = Ŷ - b₁X and β₁ = Cov(X, Y) / Var(X).

When the independent variable is multiplied by 10, β₀ will change proportionally, while β₁ remains the same.

The four assumptions made while deriving the OLS estimators for βˆ₁ and βˆ₀ are:

Linearity: The relationship between the independent variable(s) and the dependent variable is linear.

Independence: The observations in the sample are independent of each other.

Homoscedasticity: The variance of the errors is constant across all levels of the independent variable(s).

No multicollinearity: The independent variables are not highly correlated with each other.

(b) The two population equalities used to derive the estimators are:

E(ε) = 0: The expected value of the error term is zero, indicating that, on average, the errors do not have a systematic bias.

Cov(X, ε) = 0: There is no correlation between the independent variable(s) and the error term, meaning that the independent variable(s) are not directly influenced by the errors.

(c) Under linearity, the equations look like:

E(Y) = β₀ + β₁X: The expected value of the dependent variable is a linear function of the independent variable(s).

(d) The sample analog for these equations is:

Ŷ = b₀ + b₁X: The estimated (predicted) value of the dependent variable is a linear function of the independent variable(s) based on the sample data.

(e) By solving the system of equations, we can derive the expression for β₀:

β₀ = Ŷ - b₁X: The estimated intercept term is equal to the estimated (predicted) value of the dependent variable minus the estimated slope term multiplied by the independent variable.

(f) By solving the system of equations, we can derive the expression for β₁:

β₁ = Cov(X, Y) / Var(X): The estimated slope term is equal to the covariance between the independent variable and the dependent variable divided by the variance of the independent variable.

(g) If you multiply the independent variable by 10, the estimated intercept term (β₀) will change but the estimated slope term (β₁) will remain the same. The intercept term will be scaled by a factor of 10, reflecting the change in the magnitude of the independent variable.

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The probability that the sum of the values rolled on four standard six-sided dice is odd, given that the product of their values is even, can be summarized as follows: The probability is 1/2 or 50%.

When rolling four dice, each die has six possible outcomes (numbers 1 to 6). The product of the values rolled will be even if at least one of the dice shows an even number. This is because multiplying any number by an even number results in an even number. Therefore, the only way the product can be odd is if all four dice show odd numbers.

Considering that each die has an equal probability of landing on an odd or even number, the probability of all four dice showing odd numbers is (1/2) * (1/2) * (1/2) * (1/2) = 1/16. Conversely, the probability of at least one even number appearing is 1 - 1/16 = 15/16.

Now, focusing on the sum of the values, an odd number can only be obtained by adding an odd number of odd numbers together. Since the probability of obtaining an odd number from each die roll is 1/2, the probability of the sum being odd is 1/2.

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The area of the circle is 30.2 square feet. Then the correct option is B.

Given that:

Diameter, d = 6.2 feet

Let r be the radius of the circle. Then the area of the circle will be given as,

A = πr² square units

The radius of the circle is given as,

r = d / 2

r = 6.2 / 2

r = 3.1 feet

The area of the circle is calculated as,

A = 3.14 x (3.1)²

A = 3.14 x 9.61

A = 30.1754

A ≈ 30.2 square feet

Thus, the correct option is B.

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Answer:

D

Step-by-step explanation:

Somehting bknbye3uehnfhnjun Español uno, como sulfhídrica

Rule: opposite sides are equal/ angles are equal.

Answer

A little over 16.

Step-by-step explanation:

If you convert 5 liters to milli-liters, you get 5,000. You then divide 5,000 by 300 and get 16.67.

Hope this helps!

Answer:

$30.47

Step-by-step explanation:

100%-15%=85%
85%=0.85
$35.85*0.85=30.47 (to 2d.p)
Hope this helps

Answer:

In order to prove that (x+3) is a factor of p(x), Serena must show that p(-3) = 0. This means that if we plug -3 into the polynomial p(x), the resulting value must be 0. Therefore, the correct answer is option D, p(-3)=0.

Step-by-step explanation:

Answer:

6.5y + 10

Step-by-step explanation:

0.5y + 10.5 + 6.5y - 0.5 - 0.5y

combine like terms

6.5y + 10

Answer:

m

Step-by-step explanation:

f

Answer:

476

Step-by-step explanation:

The equation is
p(x)=4(x²−5)+12

p(11) = 4(11² -5) + 12

= 4(121-5) + 12

= 4 x 116 + 12

= 464 + 12

= 476

Simplifying
⇒ p(x) = 4x² - 4 x 5 + 12

⇒ p(x) = 4x² - 20 + 12

⇒ p(x) = 4x² - 8

p(11) = 4 x 11² + 12

Answer:

2991.5$

Step-by-step explanation:

59830times 5percent times 1 year gives as 2991.5$