1. If a hexagon represents one whole what does 4 triangles represent?

2. If If a hexagon represents one whole what does 1 hexagon and 1 trapezoid represent?

3. If a hexagon represents one whole what does a rhombus represent ?

4. If a hexagon represents one whole what does 3 rhombus represent?

5. If a hexagon represents one whole what does 1 trapezoid represent?

6. If a hexagon represents one whole what does 2 hexagons represent?

PLZZ HELP

The height of the cone in discuss as required to be determined is; 16.38 cm.

Since the height of the cone is three times the length of the diameter of its base;

h = 3d;

d = h/3

Therefore, radius,

r = d/2

r = h/3 ÷ 2

multiply by the reciprocal of 2

r = h/3 × 1/2

r = h / 6.

Volume of a cone, V = (1/3) πr²h

128 = (1/3) × (22/7) × (h³/36)

h³ = 4398.55

h = 16.38 cm.

Ultimately, the height of the cone is; 16.38 cm.

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Answer:

First option, relation 1 and relation 4

Step-by-step explanation:

Because they both cross one of the two axes once, which from what I remember, makes it a function.

Hope this makes sense, and please correct me if I'm wrong :)

The terms that describe, a variable in a program that represents a class and is created by an assignment statement a function created within a class definition are:

instance - a variable in a program that represents a class and is created by an assignment statement

method - function created within a class definition

Here, we have,

given that,

we have to find  the terms that describe, a variable in a program that represents a class and is created by an assignment statement a function created within a class definition.

now, we know that,

A class is made up of the members fields and methods.

Fields are variables in the class and methods are functions in the class.

An instance is a copy of the class also called an object.

so, we get,

The term described as "a variable in a program that represents a class and is created by an assignment statement" is:

Object i.e. instance.

The term described as "a function created within a class definition" is:

Method.

Hence, The terms that describe, a variable in a program that represents a class and is created by an assignment statement a function created within a class definition are:

instance - a variable in a program that represents a class and is created by an assignment statement

method - function created within a class definition

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Answer:you have to subtract first and then add the 2.50 and that’s your answer

Step-by-step explanation:

The sum of interior angles of triangle sum up to 180°

Hence,

∠O + 70° + 65° = 180°

∠O = 180° - 65° - 70°

∠O = 45°

∴ The angle ∠O is 45 degrees.

Use cosine rule: a² = b² + c² - 2bc cos(A)

Hence,

TO² = 3² + 3² - 2(3)(3) cos(65)

TO² = 10.39287129

To = √10.4

TO = 3.22 ≈ 3 meters (rounded to nearest whole number)

∴ The length of TO is 3 meters.

Answer:

Answer:

4:9

Step-by-step explanation:

Answer:

itchiness, rash,corona virus, rumors

Step-by-step explanation:

Answer:

\(coronavirus\)

Answer:

5/9 or 0. 5 repeating

Step-by-step explanation:

Hope this helps!

Answer:

0.55555555555

Step-by-step explanation

Answer:

Solve for  x  by simplifying both sides of the equation, then isolating the variable.

Exact Form: x  =  34 /3

Decimal Form:  x  =  11. ¯  3

Mixed Number Form:  x  = 11  1 /3

Step-by-step explanation:

hope this helps!

The test statistic is 0.764

Given that,

You are evaluating the claim that night students have higher average grades than day pupils. You take a sample of 30 night students, and their mean grade point average is 2.11 with a 0.78 standard deviation. You take a sample of 55 day students, and their average grade point average is 1.98 with a 0.71 standard deviation.

H₀ : u1 <= u2

Ha : u1 > u2

n1 =30 ,n2 =55

s1 = 0.78, s2 =0.71

x1 = 2.11, x2= 1.98

t = x1 -x2 /√s1²/n1 + s2²/n2

t = 2.11 - 1.98 / √0.60/30 + 0.50/55

t = 0.13/√0.02+0.009

t =0.13 / 0.17 = 0.764.

Therefore, the test statistic is 0.764

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The residuals of the regression are 0.05, -0.5, 0.15, 0.07, 0.35, -0.15, -0.5, -0.15, 0.03 and 0.61

The regression equation is given as:

y = 0.138x + 1.166

Next, we calculate the predicted values (y) at the corresponding x values.

So, we have:

y = 0.138 * 18 + 1.166 = 3.65

y = 0.138 * 21.9 + 1.166 = 4.19

y = 0.138 * 18 + 1.166 = 3.65

y = 0.138 * 20 + 1.166 = 3.93

y = 0.138 * 18 + 1.166 = 3.65

y = 0.138 * 0.7 + 1.166 = 1.26

y = 0.138 * 21.9 + 1.166 = 4.19

y = 0.138 * 0.7 + 1.166 = 1.26

y = 0.138 * 16.7 + 1.166 = 3.47

y = 0.138 * 15.5 + 1.166 = 3.31

The residuals are then calculated using:

Residual = Actual value - Predicted value

So, we have:

Residual = 3.7 - 3.65 = 0.05

Residual = 3.69 - 4.19 = -0.5

Residual = 3.8 - 3.65= 0.15

Residual = 4 - 3.93 = 0.07

Residual = 4 - 3.65= 0.35

Residual = 1.11 - 1.26 = -0.15

Residual = 3.69 - 4.19 = -0.5

Residual = 1.11 - 1.26 = -0.15

Residual = 3.5 - 3.47 = 0.03

Residual = 3.92 - 3.31 = 0.61

Hence, the residuals are 0.05, -0.5, 0.15, 0.07, 0.35, -0.15, -0.5, -0.15, 0.03 and 0.61

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Answer:

The residuals of the regression are 0.05, -0.5, 0.15, 0.07, 0.35, -0.15, -0.5, -0.15, 0.03 and 0.61

How to determine the residuals?

The regression equation is given as:

y = 0.138x + 1.166

Next, we calculate the predicted values (y) at the corresponding x values.

So, we have:

y = 0.138 * 18 + 1.166 = 3.65

y = 0.138 * 21.9 + 1.166 = 4.19

y = 0.138 * 18 + 1.166 = 3.65

y = 0.138 * 20 + 1.166 = 3.93

y = 0.138 * 18 + 1.166 = 3.65

y = 0.138 * 0.7 + 1.166 = 1.26

y = 0.138 * 21.9 + 1.166 = 4.19

y = 0.138 * 0.7 + 1.166 = 1.26

y = 0.138 * 16.7 + 1.166 = 3.47

y = 0.138 * 15.5 + 1.166 = 3.31

The residuals are then calculated using:

Residual = Actual value - Predicted value

So, we have:

Residual = 3.7 - 3.65 = 0.05

Residual = 3.69 - 4.19 = -0.5

Residual = 3.8 - 3.65= 0.15

Residual = 4 - 3.93 = 0.07

Residual = 4 - 3.65= 0.35

Residual = 1.11 - 1.26 = -0.15

Residual = 3.69 - 4.19 = -0.5

Residual = 1.11 - 1.26 = -0.15

Residual = 3.5 - 3.47 = 0.03

Residual = 3.92 - 3.31 = 0.61

Hence, the residuals are 0.05, -0.5, 0.15, 0.07, 0.35, -0.15, -0.5, -0.15, 0.03 and 0.61

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Step-by-step explanation:

The expression that represents the output value when the input is n is -4 - 2n

From the question, the input parameters are given as

Input 1,2,3,4,n

Similarly, the output parameters are given as

output: -6,-8,-10,-12

So, we have the following table of values

1,2,3,4,n

-6,-8,-10,-12

From the above table of values, we have the following parameters

The output value for the input n is then calculated as

Tn = a + (n - 1) * d

So, we have

Tn = -6 + (n - 1) * -2

Open brackets

Tn = -6 - 2n + 2

Evaluate the like terms

Tn = -4 - 2n

Hence, the output value for the input n is -4 - 2n

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Given

The representation on the unit circle is shown below

Going round the circle in the negative direction, we realize

Answer:

63

Step-by-step explanation:

The formula to when given the number of standard deviations below the mean x =μ - nσ

Where:

x = raw score

μ is the population mean = 75

σ is the population standard deviation = 8.

n = number of standard deviations below the mean

Hence

x = 75 - 1.5 × 8

x = 75 - 12

x = 63

Therefore, Andrey's exam score is 63

Answer:

15 atm

Step-by-step explanation:

V varies directly with T and inversely with P.

V = kT/P

When T = 200 and P = 6, V = 50.

50 = k (200) / (6)

k = 1.5

When V = 25 and T = 250:

25 = 1.5 (250) / P

P = 15

Given that we know the relation between volume, pressure and temperature (given for the ideal gas), we want to find the change in pressure associated to the given change in volume and temperature.

We will see that the pressure after the change is 15 atm.

Let's see how to solve this problem:

So we start by knowing that the volume depends directly on the temperature and inversely on the pressure, then the relation is something like:

V = k*(T/P)

Where k is a constant.

We know that a cylinder of 50lt is at a temperature of 200K and with a pressure of 6 atm, replacing that in the above equation we get:

50lt = k*(200K/6atm)

With this we can find the value of k:

50lt*(6atm/200K) = k = 1.5 lt*atm/K

Then the equation is just:

V = (1.5 lt*atm/K)*(T/P)

Now the problem says that the volume is 25lt and the temperature is 250K, replacing that in the equation we get:

25lt =  (1.5 lt*atm/K)*(250K/P)

Solving for P we have:

P = (1.5 lt*atm/K)*(250K/25lt) = 15atm

Concluding, the pressure is after the change is 15 atm

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A. To compute r, the form of the relationship should be linear: This statement is true.

The correlation coefficient (r) measures the strength and direction of the linear relationship between two quantitative variables. If the relationship is not linear, the correlation coefficient may not accurately represent the relationship between the two variables.

B. If you correlate two quantitative variables, called "x" and "y," changing the units of measurement for "x" and "y" will not change the correlation between "x" and "y": This statement is true.

Changing the units of measurement for the variables will only change the scale of the data but will not affect the relationship between the variables. Therefore, the correlation coefficient remains the same.

C. If you correlate two quantitative variables, called "x" and "y," the correlation will not change if you switch which variable is "x" and which is "y": This statement is true.

The correlation coefficient measures the relationship between two variables, regardless of which variable is labeled "x" and which is labeled "y." Switching the labels will only affect the interpretation of the relationship, not the correlation coefficient itself.

D. The correlation coefficient is affected by outliers: This statement is true.

Outliers are extreme values that do not follow the general pattern of the data. They can significantly affect the correlation coefficient, making it appear stronger or weaker than it actually is.

Therefore, it is important to examine the data for outliers before interpreting the correlation coefficient.

E. If two quantitative variables are strongly correlated, we should conclude that one variable causes the other: This statement is false.

Correlation does not imply causation. Just because two variables are strongly correlated, it does not mean that one variable causes the other. There could be other variables or factors that influence the relationship between the two variables.

Therefore, it is important to consider other evidence and conduct further research before making causal claims.

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The correct answer is option B. Rewrite sin °x as (1 - cos 2x) sinx, then use the substitution u = cos x.

What is sine?

Sine is a trigonometric function that relates the ratio of the length of the side opposite an angle in a right triangle to the length of the hypotenuse. In a right triangle, the sine of an angle is defined as the ratio of the length of the side opposite the angle to the length of the hypotenuse.

Mathematically, the sine function is denoted as sin(x), where x is the angle. The sine function takes an angle in radians as its input and returns the corresponding sine value.

By using the identity \(sin^2(x) + cos^2(x) = 1\), we can rewrite sin °x as (1 - cos 2x) sinx.

Then, we can make the substitution u = cos x, which allows us to express the integral in terms of u. This substitution simplifies the integral and makes it easier to evaluate.

Therefore, the correct method to integrate sin °x is to rewrite it as (1 - cos 2x) sinx and then use the substitution u = cos x.

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Answer:

ok i will help

Step-by-step explanation:

so she has 4 choices the first time. And each of those four branches off to 5 possibilities. so the answer is 4*5=20

Answer:

10 routes to her home with a stop at the library

Answer:

gradient = - \(\frac{3}{4}\) , y- intercept = \(\frac{5}{4}\)

Step-by-step explanation:

The equation of a line in slope- intercept form is

y = mx + c ( m is the slope and c the y- intercept )

Given

3x + 4y = 5 ( subtract 3x from both sides )

4y = - 3x + 5 ( divide terms by 4 )

y = - \(\frac{3}{4}\) x + \(\frac{5}{4}\) ← in slope- intercept form

with slope m = - \(\frac{3}{4}\) and y- intercept c = \(\frac{5}{4}\)

Answer:

y=3/4x-1 or 4y+-3x=-4

Step-by-step explanation:

If the line is (4,2) and (0,-1) then you have to first find the slope (rise-over-run) which is 3/4. The y-intercept is -1.

y=mx+b

Slope-Intercept Form:

y=(slope)x+(y-intercept)

so,

y=(3/4)x-1

Standard Form:

4y+-3x=-4

EXPLANATION

Let's see the facts:

We have the same distance from the center, we can assevere that the picture is a circle.

We can see that this is a the Law of Inverse because it says that if the conditional statement:

Conditional Statement--> If p (Hypothesis), then q (Conclusion)

Inverse ---------------------> If ~p, then ~q(Conclusion) [Negation]

Hence, the answer is the option b--> Law of Inverse

The Wald test is a statistical test that can be used to test the significance of a group of coefficients in a multiple regression model.

The test statistic is calculated as the ratio of the estimated coefficient to its standard error. If the test statistic is significant, then the null hypothesis that the coefficient is equal to zero can be rejected.

Suppose we have a multiple regression model with three independent variables: age, gender, and education. We want to test the hypothesis that the coefficients for age and education are both equal to zero. The Wald test statistic would be calculated as follows:

Test statistic = (Estimated coefficient for age) / (Standard error of estimated coefficient for age) + (Estimated coefficient for education) / (Standard error of estimated coefficient for education)

If the test statistic is significant, then we can reject the null hypothesis that the coefficients for age and education are both equal to zero. This would mean that there is evidence that age and education are both associated with the dependent variable.

The Wald test is a powerful tool that can be used to test the significance of a group of coefficients in a multiple regression model. However, it is important to note that the test statistic is only valid if the assumptions of the multiple regression model are met. If the assumptions are not met, then the p-value of the Wald test may be inaccurate.

Here are some of the assumptions of the multiple regression model:

* The independent variables are independent of each other.

* The dependent variable is normally distributed.

* The errors are normally distributed.

* The errors have constant variance.

If any of these assumptions are not met, then the Wald test may not be accurate.

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Five irrational number between 1/7 and 1/4 are 0.142857142857..., √2/5, π/10, e/8, √3/7.

To find five irrational numbers between 1/7 and 1/4, we can utilize the fact that between any two rational numbers, there are infinitely many irrational numbers. Here are five examples:

0.142857142857...

This is an example of an irrational number that can be expressed as an infinite repeating decimal. The decimal representation of 1/7 is 0.142857142857..., which repeats indefinitely.

√2/5

The square root of 2 (√2) is an irrational number, and dividing it by 5 gives us another irrational number between 1/7 and 1/4.

π/10

π (pi) is another well-known irrational number. Dividing π by 10 gives us an irrational number between 1/7 and 1/4.

e/8

The mathematical constant e is also irrational. Dividing e by 8 gives us an irrational number within the desired range.

√3/7

The square root of 3 (√3) is another irrational number. Dividing it by 7 provides us with an additional irrational number between 1/7 and 1/4.

These are just a few examples of irrational numbers between 1/7 and 1/4. In reality, there are infinitely many irrational numbers in this range, but the examples provided should give you a good starting point.

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Answer:

I mean, I think it varies by house and by location but a general range would be:

Min: 64 *F

Max: 74 *F

Answer:

2x-1

Step-by-step explanation:

Answer:

Step-by-step explanation:

Answer:

x = 4

Step-by-step explanation:

4x-7y=37 (1)

2x+7y=-13 (2)

(1)+(2)

6x=24

6x=24 (divide both sides by 6)

x = 4