50 POINTS PLEASE HELP Based on this data, you could expect a skate blade with a radius of hollow of 19 mm to have a stopping distance of
4 1/2 m
5 m
5 1/2 m
6 m​

Answer:

15 gallons

Step-by-step explanation:

If 128 fluid ounces is 1 gallon, you can just divide 1920 by 128 and that'll leave you with 15

Answer:it would be 2:22

Step-by-step explanation:

If there’s 25 minutes till 10 so therefore it would be 9:35 and since it’s 9:35 four hours and 51 minutes from then would be 2:22 because the minutes would add up to 82 minutes and four hours so your answers to 2:22

Answer:

I did this question the other day, I think it is right, but I'm not 100% sure. Let me know if it is helpful

Step-by-step explanation:

1. We assume, that the number 50 is 100% - because it's the output value of the task.

2. We assume, that x is the value we are looking for.

3. If 50 is 100%, so we can write it down as 50=100%.

4. We know, that x is 98% of the output value, so we can write it down as x=98%.

5. Now we have two simple equations:

1) 50=100%

2) x=98%

where left sides of both of them have the same units, and both right sides have the same units, so we can do something like that:

50/x=100%/98%

6. Now we just have to solve the simple equation, and we will get the solution we are looking for.

7. Solution for what is 98% of 50

50/x=100/98

(50/x)*x=(100/98)*x       - we multiply both sides of the equation by x

50=1.02040816327*x      - we divide both sides of the equation by (1.02040816327) to get x

50/1.02040816327=x

49=x

x=49

now we have:

Answer:

49

Step-by-step explanation:

It's really quite simple lad. 50 times 98 is equal to 4900. then you just divide 4900 by 100 and you get your answer, 49. 98% is also 98/100, keep that in mind. Better luck next time haha you

The trains will be 380 miles apart at 3:00 PM, which is 4 hours after the freight train leaves the station at 12 noon.

We can use the formula d = rt (distance = rate x time) to calculate the distance each train has traveled during this time:

Let's call the time elapsed from 12 noon until the trains meet as t hours.

During this time, the freight train has traveled at a rate of 50 mph for t hours and the passenger train has traveled at a rate of 60 mph for (t-1) hours (since it started one hour after the freight train).

Distance traveled by freight train = 50t

Distance traveled by passenger train = 60(t-1)

The total distance between the two trains at time t is the sum of these distances, which we can write as:

Total distance = 50t + 60(t-1)

We want to find the time t at which the total distance is 380 miles. So we can set up the equation:

50t + 60(t-1) = 380

Simplifying this equation, we get:

110t - 60 = 380

110t = 440

t = 4

Therefore, the time elapsed from 12 noon until the trains meet is 4 hours. Since the passenger train left one hour after the freight train, it has been traveling for 3 hours.

So the time at which the trains are 380 miles apart is 3:00 PM (12 noon + 4 hours).

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The quadratic regression equation that best fits the data set is \(y = -1.62x^2 + 34.89x - 5.57.\)

To determine which quadratic regression equation best fits the data set, we can use a graphing calculator or other technology to perform a quadratic regression analysis on the given data.

Using a graphing calculator, we can enter the data set as follows:

Press the STAT button.

Press ENTER to select 1:Edit.

Enter the x-values in L1 and the y-values in L2.

Press STAT again and choose CALC.

Choose option 5:QuadReg.

Press ENTER to select the regression equation.

The calculator will display the quadratic regression equation in the form y = \(ax^2 + bx + c.\)

After performing the quadratic regression analysis, we get the following equation:

y = \(-1.62x^2 + 34.89x - 5.57\)

Therefore, the quadratic regression equation that best fits the data set is \(y = -1.62x^2 + 34.89x - 5.57.\)

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Full Question: Use a graphing calculator or other technology to answer the question. 4.5 122 Which quadratic regression equation best fits the data set? 6.2 145 7.0 155 8.9 189 O Û = 1.62x2 + 34.89x +5.57 10.1 171 © = -5.5722 + 34.89x – 1.62 14.8 170 O Û = -1.62x2 + 34.89x 15.7 133 © y = -1.62x2 + 34.893 – 5.57

we have that

The fence around the garden is equal to

where

pi=3.14

D=25 ft

substitute

To find out the cost, multiply 64.25 ft by $8.00 per linear foot

so

64.25*8=$514

Answer:

4x - 3

Step-by-step explanation:

x + x + x + x = 4x

- + - + - = - 3

So, finally 4x - 3

Answer: See Explanation

Step-by-step Explanation: Heather rolls a far umber cube 60times and finds the probabilityof a 4 Landingface ups 1 Heather wants to roll the fair number cube 12 more times, and on the frst nI rolls, a 3 lands face up each time. Which statement best describes the probability of Heather roling a 4 on the 12th roll? The probability of rolling a 4 on the 12th roll is less than The probablity of rolling a 4 on the 12th roll is more than The probablity of rolling a 4 on the 12th roll is equal to The probability of rolling a 4 on the 12th roll is equal to 10.

Answer:

Step-by-step explanation: Vertex Equatiation Por mxa Plus B = X gtex Lp Cneter to 16u8 Killomtrss to ball

Answer:

C

Step-by-step explanation:

1÷2×8×3=12

Answer:

The two sides of the triangle are equal so by the property that : If  opposite sides of a triangle are equal then the opposite angles are also equal .

Area of triangle = 1/2 multiplied by base and also multiplied by height

A =1/2*b*h

So, we can conclude that the opposite angles are 90 + 90 degrees = 180 degrees (as the angles are equal)

Therefore, c)1/2 *8*3  is right

To determine if S is not a basis for P2, we must check if the set of polynomials is linearly independent and spans the vector space P2. The vector space P2 consists of all polynomials with a degree less than or equal to 2.

S = {1 - x, 1 - x^2, -1 - 8x + 9x^2}

To check if these polynomials are linearly independent, we can set up the following linear combination equation:

a(1 - x) + b(1 - x^2) + c(-1 - 8x + 9x^2) = 0

Expanding and grouping terms, we get:

(a + b - c) + (-a - 8c)x + (-b + 9c)x^2 = 0

For this linear combination to be the zero polynomial, the coefficients must be zero:

a + b - c = 0
-a - 8c = 0
-b + 9c = 0

Solving this system of equations, we get a non-trivial solution (a = 8, b = 72, c = 1), which means that the set of polynomials is linearly dependent. As a result, S is not a basis for P2.

S is not a basis for P2 because it does not satisfy the basis requirement of linear independence. To be a basis for P2, a set of vectors must be linearly independent, meaning that no vector can be expressed as a linear combination of the others. However, in S, the third vector (-1 - 8x + 9x^2) can be expressed as a linear combination of the first two vectors (1 - x and 1 - x^2), specifically (-1 - 8x + 9x^2) = -(1 - x) - (1 - x^2). Therefore, S is not a basis for P2.

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The solutions and probabilities are,

(a)

P(X < 100) = 0.748

P(X < 200) = 0.936

P(100 < X < 200) = 0.188

(b) P(X > M+2σ) = 0.0498

(c) Median = 50.01 m

Given data,

Let X denote the distance (m) that an animal moves from its birth site to the first territorial vacancy it encounters. Suppose that for banner-tailed kangaroo rats, X has an exponential distribution with parameter,

λ = 0.01386

\(F(x) = 1 - e^-^λ^x\)

(a)

The probability that the distance is at most 100 m is,

\(F(100) = 1 - e^-^0^.^0^1^3^8^*^1^0^0\) = 0.748

The probability that the distance is at most 200 m is,

\(F(200) = 1 - e^-^0^.^0^1^3^8^*^2^0^0\) = 0.936

The probability that the distance is between 100 and 200 m is,

F(200) - F(100) = 0.936 - 0.748 = 0.188

(b)

The probability that distance exceeds the mean distance by more than 2 standard deviations

Mean, μ = 1/λ = 1/0.01386 = 72.1501

Standard deviation, σ = 1/λ = 72.1501

Value more than 2 SD from mean = µ + 2*σ

                                                        = 72.1501 + 2*72.1501 = 216.4503

Probability of greater than 216.4503,

P(X > 216.4503) = e^(-0.0139 * 216.4503)

                          = 0.0498

(c)

The value of the median distance is,

Median = ln(2) / λ

             = ln(2) / 0.0138 = 50.01

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The standard deviation of the data set is 2.4

We have the data set:

7, 3, 4, 2, 5, 6, 9

The sample size, n = 7

Mean (m) = ∑x / n

m = (7 + 3 + 4 +2 + 15 + 6 + 9)/7

m = 36/7

m = 5.1

x           x-m             (x- m)²

7      7-5.1 = 1.9         3.61

3      3-5.1 = -2.1        4.41

4       4-5.1 = -1.1        1.21

2       2 - 5.1 = -3.1     9.61

5       5 - 5.1 = -0.1     0.01

6       6 - 5.1 = 1.1       1.21

9       9 - 5.1 = 3.9     15.21

                                35.27      

∑(x- m)² = 35.27

variance, s² = ∑(x-x)² /(n-1)

variance, s² = 35.27 /(7 - 1)

                                =  35.27/6

Standard deviation (S) = √variance

Standard deviation (S) = √(35.27/6) = 2.4

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Given the figure of an unlabeled rectangle

We need to find which of the labeled figures is a different scaled version of the rectangle

As shown the unlabeled rectangle has the following:

Length = 4 units

Width = 2 units

So, the ratio of the length to the width = 4:2 = 2:1

We will find the ratio of the shown rectangles to find the correct figure.

The rectangles have the label: B, C, D, E, G, H

Now, we will check the ratio for each rectangle

B: Length = 8, Width = 3 ⇒ ratio = 8:3

By making the same sequence

The answer will be:

C, D, H

Each rectangle has a length = of two times the width

These rectangles is a scaled version of the given rectangle

The correct option (Choice B) 25% , is less than 7 teams compete in percent all Brad's fantasy football leagues.

The smallest value, 4, is used as the minimum since it is visually represented as the point farthest to the left on the boxplot. The left whisker's tip is shown here.

Therefore, between 4 and 7 teams make about 25% of the distribution.

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The correct question is-

A horizontal boxplot is plotted along a horizontal axis marked from 0 to 20, in increments of 1. A left whisker extends from 4 to 7. The box extends from 7 to 14 and is divided into 2 parts by a vertical line segment at 10. The right whisker extends from 14 to 18. All values estimated. About what percent of Brad's fantasy football leagues have fewer than 7 teams? Choose 1 answer:

(Choice A) 0%

(Choice B) 25%

(Choice C) 50%

Choice D) 75%

(Choice E) 100%

Answer:

64 square centimeters

Step-by-step explanation:

The surface are of a pyramid is found by finding the sum of the area of the four sides and the base.

Finding the triangular face:

Area of triangle = \(\frac{1}{2} b h\) = \(\frac{1}{2}*4*6 = 12\)

12 * 4 (4 sides) = 48 square cm

Finding the Base = \(w * l = 4 * 4 = 16\)

Finally, we add it together. 48 + 16 = 64

Answer:

hypotenuse²=base²+height²

\( \sqrt{85 } {}^{2} = 6 {}^{2} + x {}^{2} \\ \)

A person's height in feet is a quantitative variable because it is a measurable and numerical quantity that can be expressed in units of measurement. Height can be measured with a ruler or other measuring device, and the value obtained represents a continuous quantity that can be compared and analyzed using mathematical operations.

Qualitative variables, on the other hand, are variables that cannot be measured with a numerical value. They represent characteristics or attributes of a population or sample, such as gender, ethnicity, or eye color. These variables are typically represented by categories or labels rather than numerical values.

In summary, a person's height in feet is a quantitative variable because it represents a numerical measurement that can be quantified and compared. Qualitative variables, on the other hand, represent non-numerical characteristics or attributes and are typically represented by categories or labels.

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Answer:

3 is the answer to this problem

Answer:

Since we know a=4 all we have to do is plug 7 in for a and get the equation

7-4

Answer: 3

Step-by-step explanation:

We have proven the identity csc²x - cot²x = sin²x sec²x + 1 sec²x using the given steps.

To prove the identity csc²x - cot²x = sin²x sec²x + 1 sec²x, we will start from the left-hand side (LHS) and manipulate it step by step until we obtain the right-hand side (RHS). LHS: csc²x - cot²x, Recall the definitions of csc(x) and cot(x): csc(x) = 1/sin(x), cot(x) = cos(x)/sin(x). Substituting these definitions into the LHS expression: (1/sin(x))² - (cos(x)/sin(x))²

Simplifying the squares: 1/sin²(x) - cos²(x)/sin²(x). Combining the fractions: (1 - cos²(x))/sin²(x). Using the identity sin²(x) + cos²(x) = 1, we can rewrite 1 - cos²(x) as sin²(x): sin²(x)/sin²(x). Canceling out the common factor: 1. Thus, the LHS simplifies to 1, which is equal to the RHS. Therefore, we have proven the identity csc²x - cot²x = sin²x sec²x + 1 sec²x using the given steps.

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Answer:

11.34

Step-by-step explanation:

1.multiply 540x7=3,780

2.multiply3,780 by 3 to get 11340

3.divide the length value by 1000 to get 11.34

The Solution:

The correct answers are ticked in the picture below:

Therefore, the correct answers are:

[ option 2 ]

[ option 2 ]

[ option 3 ]

Answer:

I think it is 3/3

Step-by-step explanation:

Answer:

The choice B.

\(f ^{ - 1} (x) = \frac{1}{3} {x}^{2} \)

Answer: B

Step-by-step explanation:

\(f(x)=y=\sqrt{3x} \\\\x=\sqrt{3y} \ exchanging\ x\ and\ y\\\\Finding\ y\\\\x^2=3y\\\\f^{-1}(x)=y=\dfrac{x^2}{3}\)

Answer B

Answer:

the number is 2, 2,7, 11, 0

Step-by-step explanation:

this is an indefinitie solution.

The quadratic equation 2x² + 7x + 11 = 0 has imaginary roots as the graph of this equation does not intersect the x-axis.

A quadratic equation is an algebraic expression in the form of variables and constants.

A quadratic equation has two roots as it's degree is two.

To know the type of solution of a quadratic equation we'll observe what is

the discriminant which is b² - 4ac.

2x² + 7x + 11 = 0 is ax² + bx + c = 0.

b² - 4ac.

= 49 - 4.2.11

= 49 - 88.

= - 39.

Now, - 39 < 0 so the quadratic equation has imaginary roots as the graph of this equation does not intersect the x-axis.

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Bayesian regression with undirected network predictors offers a powerful framework for analyzing brain connectome data and gaining a deeper understanding of the relationships between brain connectivity and various outcomes of interest.

Bayesian regression with undirected network predictors refers to a statistical modeling approach that combines Bayesian inference principles with regression analysis when the predictors are represented as an undirected network. This approach is particularly useful when dealing with data that has a network structure, such as brain connectome data.

In the context of brain connectome data, a connectome represents the structural or functional connectivity between different regions or nodes of the brain. Each node can be seen as a predictor variable, and the relationships between nodes are represented by edges in the network.

Bayesian regression allows for flexible modeling of the relationships between predictors and the response variable, taking into account uncertainty in the parameter estimates. By incorporating the network structure of the predictors, Bayesian regression with undirected network predictors can capture complex dependencies and interactions among brain regions, providing insights into the relationships between brain connectivity and the outcome of interest.

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They describe a model of an atom with two protons, two neutrons, electron density (orbitals), and two electrons. Now suppose we want to know what the labels A and B stand for.

The nucleus is at the center where the protons and neutrons are arranged. This is supported by his three models: the Rutherford model, the Bohr model and the (now accepted) quantum model.

So the red sphere and the two overlapping spheres in the middle represent protons and neutrons.

The line labeled A with the sphere in brackets represents the nucleus, as it signals both protons and neutrons within the nucleus.

The green blurry circular clouds represent the regions where electrons reside. This is blurry according to the quantum model, which states that the electrons are not in a fixed position, but in the region around the atom. This area is called the trajectory. According to the model, the electron's exact position cannot be determined, which means a blurry cloud.

This white line, which in Bohr's model should be circular where the electrons are, represents the electron orbits and shells identified by the letters L, M, N, and K. The first shell was the L shell.

In the quantum model, this line corresponds to the principal quantum number n (principal energy level). Therefore, the lines leading to brackets overlapping the white lines indicate the main energy levels.

Atoms are neutral because they contain as many electrons as protons around the nucleus.

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Answer:

A: nucleus

B:  electron cloud

Step-by-step explanation: