List all the 4-digit even numbers that can be created by rearranging these number tiles.
3
4
7
2

Answer:

\(\angle L = 52\\\\\angle J = 45\\\\\angle K = 83\)

Step-by-step explanation:

\(\angle J = \angle L-7\\\\\angle K=2\angle L-21\\\\\angle L = \angle L\)

we know that

\(\angle K +\angle J + \angle L =180\) by the sum of interior angles of a triangle

so we have

\((\angle L -7)+(2\angle L -21)+(\angle L)=180\)

we can simplify

\((\angle L + 2\angle L + \angle L)+(-7-21)=180\\\\4\angle L -28=180\\\\4\angle L=180+28\\\\4\angle L = 208\\\\\angle L = 52\)

and now we find the other angles

\(\angle J = \angle L -7\\\\=52-7\\\\=45\)

\(\angle K = 2\angle L -21\\\\=2(52)-21\\\\=104-21\\\\=83\)

Answer:

100

Step-by-step explanation:

Just so you know, there is a thing called calculator

You should really get one if you are asking such questions

Or maybe, IDK maybe DON'T BE LAZY AND LEARN TO DO SIMPLE CALCULATIONS

Answer:

Step-by-step explanation:

Answer:

x = 2

Step-by-step explanation:

Lower class limits are 15, 25, 35, 45, 55, 65, 75, Upper class limits are 24, 34, 44, 54, 64, 74, 84, Class width are 10 (all classes have a width of 10), Class midpoints are 19.5, 29.5, 39.5, 49.5, 59.5, 69.5, 79.5, Class boundaries are [15, 25), [25, 35), [35, 44), [45, 54), [55, 64), [65, 74), [75, 84) and Number of individuals included in the summary is 76.

Here are the details for the given frequency distribution:

Lower class limits are the least number among the pair

Here, Lower class limits are 15, 25, 35, 45, 55, 65, 75 respectively.

Upper class limits are the greater number among the pair

Here, upper limit class are 24, 34, 44, 54, 64, 74, 84 respectively.

Class width is the difference between the Lower class limits and Upper class limits which is 10 (all classes have a width of 10).

Class midpoints is the middle point of the lower class limits and Upper class limits which is 19.5, 29.5, 39.5, 49.5, 59.5, 69.5, 79.5 respectively.

Class boundaries are the extreme points of the classes which are  [15, 25), [25, 35), [35, 44), [45, 54), [55, 64), [65, 74), [75, 84) respectively.

Number of individuals = 27 + 33 + 14 + 4 + 6 + 1 + 1

                                     = 76

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Answer:

The graph of g is 3 times steeper than the graph of f.

Step-by-step explanation:

I just did it and got it right

Answer:

The graph of g is 3 times steeper than the graph of f.

Step-by-step explanation:

Answer:

The slope of the line is 0.

Step-by-step explanation:

To find the slope of a line, you need to find their rise over run. I will be using the two points (1, 4) and (5, 4).

\(\frac{rise}{run}\) = \(\frac{4-4}{5-1}\)

     = \(\frac{0}{4}\)

     = 0

Answer:

B

Step-by-step explanation:

Answer:

D) x ≤ 3

Step-by-step explanation:

The inequality that matches the graph is x ≤ 3. This is because x is less than or equal to 3 as shown in the graph.

The missing part of the equation is \(-7.0\times10^4 s^2kg⋅m^2 / 1000000.\)

To fill in the missing part of the equation, let's analyze the given information and the desired conversion. The equation is:

\((-7.0\times 10^4 s^2g⋅m^2)\cdot \pi = ? s^2kg\cdot m^2\)

In this equation, we have a quantity expressed in\(s^2g\cdot m^2\) units on the left-hand side. To convert it to \(s^2kg\cdot m^2\) units, we need to multiply it by a conversion factor.

To perform the conversion, we can use the fact that 1 kg is equal to 1000 g. Therefore, the conversion factor we need is:

1 kg / 1000 g

To ensure that the units cancel out correctly, we need to square this conversion factor because we have \(s^2g\cdot m^2\) on the left-hand side. So the missing part of the equation is:

\((-7.0\times 10^4 s^2g\cdot m^2)\cdot \pi = (-7.0\times 10^4 s^2g\cdot m^2)\cdot (1 kg / 1000 g)^2\)

Simplifying this expression, we get:

\((-7.0\times10^4 s^2g\cdot m^2)\cdot \pi = -7.0 \times10^4 s^2kg\cdot m^2 / 1000000\)

Therefore, the missing part of the equation is \(-7.0 \times 10^4 s^2kg\cdot m^2 / 1000000.\)

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Answer:

No Possible Triangles

Step-by-step explanation:

DeltaMath answer

Answer:

16

Step-by-step explanation:

Let's denote:

a: number of students wearing sneakers

b: number of students wearing boots

We have:

a + b = 36

a/b = 4/5 (multiply both sides by b => a = 4b/5)

Substitute a = 4b/5 into a + b = 36

=> 4b/5 + b = 36

=> 4b/5 + 5b/5 = 36

=> 9b/5 = 36

=> b/5 = 4

=> b = 20

=> a = 4b/5 = 4(20)/5 = 16

15% of the time, the probability that student who chose to walk has been late.

From the stated data-

37.5% of the 40% of students who walk to school have been late.

Thus,  37.5% of 40%

= 0.375 x 0.40

= 0.1500

= 15%

Thus, 15% of the time, the student who chose to walk has been late atleast once .

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The complete question is-

At a large high school 40 percent of the students walk to school, 32 percent of the students have been late to school at least once, and 37.5 percent of the students who walk to school have been late to school at least once. One student from the school will be selected at random. What is the probability that the student selected will be one who both walks to school and has been late to school at least once?

The mean of X is y, and the variance of X is also y.

To find the mean and variance of the random variable X, which follows a Poisson distribution with parameter y, we need to use the relationship between the exponential distribution and the Poisson distribution.

Given that Y follows an exponential distribution with parameter λ, we know that the probability density function (PDF) of Y is:

f_Y(y) = λ * e^(-λy) for y ≥ 0

To find the mean of X, denoted as E(X), we can use the property of the exponential distribution that states the mean of an exponential random variable with parameter λ is equal to 1/λ. Therefore, we have:

E(Y) = 1/λ

Now, let's consider X, which follows a Poisson distribution with parameter y. The mean of a Poisson random variable is equal to its parameter. Hence:

E(X) = y

To find the variance of X, denoted as Var(X), we use the relationship between the exponential and Poisson distributions. The variance of an exponential distribution is given by 1/λ^2, and for a Poisson distribution, the variance is equal to its parameter. Therefore:

Var(Y) = (1/λ)^2

Var(X) = y

So, the mean of X is y, and the variance of X is also y.

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Answer:

y = -7x - 4

Step-by-step explanation:

Slope m = -7

Given (0,-4)

y = mx + b

-4 = -7(0) + b

b = -4

y = -7x - 4

Answer:

f(x) + g(x) = x² - 10x + 9

General Formulas and Concepts:

Algebra I

Step-by-step explanation:

Step 1: Define

f(x) = x² - 11x + 18

g(x) = x - 9

Step 2: Find f(x) + g(x)

Answer:x^2−y^2+4x−6y−5

Step-by-step explanation:

Answer:

Step-by-step explanation:

Step-by-step explanation:

if a triangle is in the form ∆ABC,

then, According to Pythagoras Theorem,

AB²+BC² = AC²

4²+8² = AC²

√80 = AC or 8.944 cm = AC

hope this helps.

Answer:

4

Step-by-step explanation:

This indicates that after accounting for the inflation rate of 7%, the purchasing power of the $1,000 investment decreased by approximately 1.92%.

The real rate of return represents the rate of return adjusted for inflation, which reflects the purchasing power of the investment. To calculate the real rate of return, we subtract the inflation rate from the nominal interest rate.

In this case, the nominal rate of interest is 5 percent, but prices have actually risen by 7 percent, indicating an inflation rate of 7 percent. Therefore, the real rate of return can be calculated as follows:

Real rate of return = Nominal interest rate - Inflation rate

Real rate of return = 5% - 7%

Real rate of return = -2%

The negative sign indicates that the purchasing power of the investment has decreased. To express the real rate of return as a positive value, we take the absolute value, resulting in approximately 2%. Therefore, Gladys earned a real rate of return of approximately -2% or -1.92% (rounded to two decimal places).

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The answer is 144.

have a nice day

The order to determine whether the sample size of 81 people is adequate to compute a confidence interval for the percentage of U.S. adults who spend more than 20 hours a week on a home computer.

we must take into account the conditions for using normal approximation methods.For the normal approximation to be trustworthy, often both the sample size and the projected number of successes and failures need to be significant. A basic guideline is that both np and n(1-p) should be more than or equal to 5, when n is the sample size and p is the predicted proportion.We have 36 achievements in this case out of 81 people (those that use a computer for more than a.

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Answer:

5 x + 1

Step-by-step explanation:

5 × + 50°

Any non - zero expression raised to the power of 0 equals 1

5 x + 1

Answer:

x = 12

Step-by-step explanation:

The sum of interior angles in a triangle is equal to 180°

since this is a right triangle

90° + 2x + 1 + 5x + 5 = 180° add like terms

7x + 96 = 180 subtract 96 from both sides

7x = 84 divide both sides by 7

x = 12

Answer:okay I don’t know what is this but what do you need help with exactly?

Step-by-step explanation:

Answer:

its c

Step-by-step explanation:

Answer:

The answer is B

Step-by-step explanation:

The given problem is about the relation between Celsius and Fahrenheit.

Specifically , the equation is

\(C=\frac{5}{9} (F-32)\)

Hence , the answer is B.

PLEASE MARK ME AS BRAINLIEST

Answer:

-14

Step-by-step explanation:

Answer:

9

Step-by-step explanation:

2x-18=0

2x=18 /:2

x=9

594 mg is equivalent to 0.594 grams (g) or 0.000594 kilograms (kg).

To determine which quantities are equivalent to 594 mg, we need to convert milligrams to other units of mass.

1 gram (g) is equal to 1000 milligrams (mg). Therefore, dividing 594 mg by 1000 gives us 0.594 grams (g). So, 594 mg is equivalent to 0.594 g.

Similarly, 1 kilogram (kg) is equal to 1000 grams (g). Dividing 594 mg by 1000,000 (1000 x 1000) gives us 0.000594 kilograms (kg). Therefore, 594 mg is equivalent to 0.000594 kg.

In summary, 594 mg is equivalent to 0.594 grams (g) or 0.000594 kilograms (kg).

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The p-value using excel is equals to the 0.49715 > alpha. So, null hypothesis is rejected and there is sufficient evidence to support claim that thre is no difference between means.

Null hypothesis H₀ : There is no difference between the population means i.e., μ₁ = μ₂ = μ₃.

Alternative hypothesis H₁ : All the population means equal.

Let X₁, X₂ and X₃ denotes the schedule 1 ,

schedule 2 and schedule 3 respectively.

so, ∑X₁ = 50+ 60 70 +40 +45 = 265

∑ X₂ = 60+65 +65 +58 +57 = 305

∑X₃ = 75+75 + 55+ 40+55 = 300

therefore, Grand total T = ∑X₁ + ∑X₃ + ∑X₂

=> 265 + 305+300 = 870

Now, Correction Factor (CF) = T/N = 870²/15

= 504

∑X₁² = 50² +60² + 70² + 40² + 45² = 14625

∑X₂² = 60²+ 65²+65²+ 58² +57² = 18663

∑X₃² = 75² + 75² +55 + 40² + 55² = 18900

TSS = Sum X² - CF = ∑ X₁² + ∑X₂² + ∑X₃² - CF

= 14625+ 18663 + 18900 - 50460

= 1728

SSC = ( ∑X₁ )²/n₁ + ( ∑X₂)²/n₂ +( ∑X₃)²/n₃ - CF

= ( 265)²/5 + 305²/5 + 300²/5 - 50460

= 190

SSE = TSS - SSC = 1728 - 190 = 1538

Now, Numerator d. f. = 2

Denominator d. f. = 12

= F.DIST. RT (0.74 12, 2, 12) = 8.49715

P-value = 0.49715 > the level of significance

alpha = 0·05 (or 0·10 or 0:01)

so, The mull hypothesis is rejected

Hence, we conclude that the means equal.

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