What's the answer to this question

Step-by-step explanation:

blue

What grade are you in? this is really easy!  you are definitely not a middle schooler, and forget high school . the reason you don't get this  is that you're wasting your time

playing  r 0 B I o x and  going on discord  now pull yourself together and study!!!

AND THATS ON PERIODT!!!

Answer:

There is no solution to this equation.

Step-by-step explanation:

Two-step equations are equations that require two steps to solve. Essentially, we would move the variable terms to one side. Then, we would perform a mathematical operation to move the constant to the other side. This would render an answer in the form of a variable equivalent to a numerical value.

To solve the equation, we want to isolate the variable, which in this case is x. We start with our initial equation:

\(-7 + 5x = 5x + 9\)

We can simplify by subtracting 5x from both sides of the equation:

\(-7 + 5x - 5x = 5x - 5x + 9\\\\-7 = 9\)

-7 cannot equal 9. Since this is the solution we have calculated, it is impossible for this equation to have a correct solution. The equation has no solution.

Therefore, there is no solution to the equation.

Answer:

No solutions

Step-by-step explanation:

We are given the following equation:

-7 + 5x = 5x + 9

We want to solve it.

To solve, we need to isolate the variable (in this case, x) onto one side.

To start, we can add 7 to both sides to move -7 from the left side.

-7 + 5x = 5x + 9

+7                 +7

_____________

5x = 5x + 16

Now, we can subtract 5x from both sides to get 5x off the right side.

5x = 5x + 16

-5x   -5x

____________

0 = 16

As you can see, we have cleared out our variable completely, and we are left with 0 = 16, which is untrue.

This means that there are no values of x that will make the equation true, because no matter what the value of x will be, it will always simplify to become the untrue statement, 0 = 16.

Therefore, the equation has no solutions.

The dependent variable is the performance of the soccer team. You can analyze the impact using a multiple regression analysis, with the regression equation:

Team Performance = β0 + β1(Experience) + β2(Coaching Style) + β3(Player Development Programs) + ε

To test the impact of soccer coaches on soccer teams, you can conduct a study using multiple independent variables that can potentially affect the dependent variable, which is the performance of the soccer team. Here are three independent variables you can consider:

1. Experience of the coach: This variable represents the number of years or seasons the coach has been involved in coaching soccer teams. It can be measured as a continuous variable.

2. Coaching style: This variable represents the specific coaching approach adopted by the coach, such as emphasizing teamwork, technical skills, or defensive strategies. It can be measured as a categorical variable with different coaching style options.

3. Player development programs: This variable represents the existence or implementation of specific player development programs designed and implemented by the coach. It can be measured as a binary variable (e.g., yes/no) indicating the presence or absence of player development programs.

To test the impact of these independent variables on the dependent variable (team performance), you can use a multiple regression analysis. The regression equation can be written as follows:

Team Performance = β0 + β1(Experience) + β2(Coaching Style) + β3(Player Development Programs) + ε

Where:

- β0 represents the intercept term.

- β1, β2, and β3 represent the regression coefficients for each independent variable.

- ε represents the error term, accounting for unexplained variation in the dependent variable.

By analyzing the regression coefficients, you can determine the extent to which each independent variable influences the team's performance, while holding the other variables constant.

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Answer:

i think its the middle one

Step-by-step explanation:

Answer:

A. 25% (25)

B. 5% (5)

Step-by-step explanation:

Think of x as the percent.

a. 60x = 240

60 / 240 = .25

b. 15x = 240

15 / 240 = .05

To solve a homogeneous differential equation of the form m(x, y)dx + n(x, y)dy = 0, we can use the substitution y = vx.

By following the steps above, you can solve a homogeneous differential equation and obtain the solution in terms of x and y.

1. Compute the derivative of y with respect to x: dy/dx = v + x * dv/dx.
2. Substitute the values of y and dy/dx in the original equation: m(x, vx)dx + n(x, vx)(v + x * dv/dx)dx = 0.

3. Simplify the equation by dividing through by dx: m(x, vx) + n(x, vx)(v + x * dv/dx) = 0.

4. Rearrange the terms to isolate dv/dx: n(x, vx) * dv/dx = -m(x, vx) - n(x, vx) * v.

5. Divide through by n(x, vx): dv/dx = (-m(x, vx) - n(x, vx) * v) / n(x, vx).

6. This is now a separable differential equation. Separate the variables and integrate both sides: ∫(1 / n(x, vx)) dv = -∫[(m(x, vx) + n(x, vx) * v) / n(x, vx)] dx.

7. Integrate both sides with respect to v and x, respectively.

8. Solve for v.

9. Substitute the value of v back into the equation y = vx.

10. This will give you the general solution of the homogeneous differential equation in terms of x and y.

In conclusion, by following the steps above, you can solve a homogeneous differential equation and obtain the solution in terms of x and y.

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orangle marbles = 1

white marbles = 6

yellow marbles = 7

Total marbles = 1 +6 + 7 = 14

Probability of not getting a yellow = orange+ white / total = 1 + 6 / 14 = 7/14 = 1/2

Probability of not getting a orange = white + yellow / total = 6 +7 /14 = 13/14

probability of not getting a yellow and then not getting a

orange = 1/2 * 13/14 = 13/28

The maximum of a graph is found on the y axis. Considering the given interval, the point on the y axis is 4. Thus, the maximum of the graph over the interval is 4.

Saddle points are critical point that the function didn't in local maximum points nor in a local minimum position. Saddle pointly mostly happen in the multivariable functions. In simple, saddle point is everything on the function accept the local maxima and minimum maxima. The proof what is the saddle shown in the picture. As you can see, the curve besides local maxima and minimum maxima is create an area like a saddle, thats why its called saddle point.

Saddle point availability can be calculate by this logic: lets say we have r = f(q, w), then the point (q, w, r) is told to be a saddle point if each derivatives fq(q, w) and fw(q, w) subside,and f  is not in any local maximum or local minima value at (x, y).

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The reasoning behind setting the upper and lower control limits plus or minus ±3σx (sigma subscript x overbar) from the mean is that we know that 99.73% of natural variation is contained within plus or minus ±3σx (sigma subscript x overbar), and thus any data point outside of the limits is likely due to assignable variation. Therefore, the correct option is D.

Control limits are the limits that specify the boundaries of expected variation. It is the limits of the average process and represents the inherent variability of the process. Control limits are determined using statistical techniques, usually through statistical process control software.

Upper and lower control limits are the points beyond which the plotted points on a control chart are considered out of control. They are set at a distance of 3 standard deviations (σ) from the mean. If plotted points fall outside the control limits, then the process is considered out of control.

The reasoning behind establishing the upper and lower control limits plus or minus ±3σx  is  from the mean is that that we know that 99.73% of natural variation is contained within plus or minus ±3σx (sigma subscript x overbar), and thus any data point outside of the limits is likely due to assignable variation.

This means that when a data point falls outside of these limits, it is likely not due to random variation but instead due to a specific, assignable cause. This helps identify potential issues in the process that need to be addressed. Hence, option D is the correct answer.

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1. the mean is 16

2. the mean is 22.5

the formula that can be used to calculate the mean is

= sum of terms/number of terms

(1) for the first question the mean can be calculated as follows

      sum of terms= 20+15+19+16+10

                             = 80

      number of terms= 5

      mean= 80/5

            = 16

(2) for the second question the mean can be calculated as follows

       sum of terms= 19+23+11+30+27+27+22+26+16+24

                      = 225

        number of terms= 10

         mean= 225/10

              = 22.5

Hence the mean for the first expression is 16 and the mean for the second expression is 22.5

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Answer:

2y=3x=-4

Step-by-step explanation:

grouping like terms

y+ly =4x-x=-4

2y=3x=-4

Good evening,

Answer:

z=32°

Step-by-step explanation:

54°+94°+z=180° (sum of angle of triangle)

z=180-148

z=32°

Answer:

0.49

Explanation:

Given the expression:

tan 26°

Evaluating using calculator

tan 26° = 0.4877

Hence the decimal rounded to the nearest hundredth is 0.49

Answer:

0.49 to nearest hundredth

Step-by-step explanation:

tan 26⁰ = 0.48773

The camper should take 3 units of food, 1 first-aid kit, and 1 piece of clothing within the given constraints.

To determine the optimal number of each item the camper should take, we need to maximize the total benefit while considering the capacity constraint of the backpack.

Let's assume the camper takes x units of food, y first-aid kits, and z pieces of clothing.

The backpack has a capacity of 9 ft^3, and each unit of food takes up 2 ft^3. Therefore, the constraint for food is 2x ≤ 9, which simplifies to x ≤ 4.5. Since x must be a whole number and the camper needs at least one unit of food, the camper can take a maximum of 3 units of food.

Similarly, for first-aid kits, since each kit occupies 1 ft^3 and the camper must take at least one, the constraint is y ≥ 1.

For clothing, each piece takes 3 ft^3, and the constraint is z ≤ (9 - 2x - y)/3.

Now, we need to maximize the total benefit. The benefit of food is assigned as 7, first aid as 5, and clothing as 6. The objective function is 7x + 5y + 6z.

Considering all the constraints, the possible combinations are:

- (x, y, z) = (3, 1, 0) with a total benefit of 7(3) + 5(1) + 6(0) = 26.

- (x, y, z) = (3, 1, 1) with a total benefit of 7(3) + 5(1) + 6(1) = 32.

- (x, y, z) = (4, 1, 0) with a total benefit of 7(4) + 5(1) + 6(0) = 39.

- (x, y, z) = (4, 1, 1) with a total benefit of 7(4) + 5(1) + 6(1) = 45.

Among these combinations, the highest total benefit is achieved when the camper takes 3 units of food, 1 first-aid kit, and 1 piece of clothing.

Therefore, the camper should take 3 units of food, 1 first-aid kit, and 1 piece of clothing to maximize the total benefit within the given constraints.

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Answer: m = 1

Step-by-step explanation

First, you must fill in the slope formula:

(7,6) first ordered pair

(6,5) second ordered pair

m = \(\frac{y_{2} -y_{1} }{x_{2} -x_{1} }\)

m = \(\frac{6-5}{7-6}\) = \(\frac{1}{1}\)

The slope is 1.

The unknown length KC in the given similar triangle is approximately 7.

From the diagram,

First let's determine angle at LKM

Cos θ =28/52

Cos θ = 0.5384

therefore,

θ = 56.34

Since angle at LKM and BKC are opposite angles of a similar triangle, they are therefore equal.

Therefore BKC = 56.34

To determine the length of KC,

We will have to use cos, as shown below

Cos θ = x/13

where x represents the unknown length.

Cos 56.34 = x/13

0.5384 = x/13

x = 13 * 0.5384

x = 6.999

Approximately 7

Therefore, the unknown length KC is approximately 7.

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Answer:

6453422487457245248525657894762356142124548769807-8569438623`53``24687805768352132446879t7458354625431`3227877976543212345678909876543211234567890987654321`234567890987654321234567890987654321234567890987654321234567890987654321234567890987654321234567890-09876543234567890987654321234567890098765432109876543212345678909876543212345678909876543212345678909876543212345678909876543212345678909876543212345678909876543212

Step-by-step explanation:

The z-values for the given situations are approximate:

a. The area to the left of z is 0.1827. z = -0.90

b. The area between −z and z is 0.9830. z = 2.17

c. The area between −z and z is 0.2148. z = 0.85

d. The area to the left of z is 0.9997. z = 3.49

e. The area to the right of z is 0.6847. z= -0.48

a. For an area of 0.1827 to the left of z, the corresponding z-value can be found using a standard normal distribution table or a statistical calculator. The z-value is approximately -0.90.

b. To find the z-value for an area between -z and z equal to 0.9830, we need to find the value that corresponds to (1 - 0.9830)/2 = 0.0085 in the upper tail of the standard normal distribution. Using the table or calculator, the z-value is approximately 2.17.

c. Similarly, for an area between -z and z equal to 0.2148, we find the value that corresponds to (1 - 0.2148)/2 = 0.3926 in the upper tail. The z-value is approximately 0.85.

d. For an area of 0.9997 to the left of z, we find the value that corresponds to 0.9997 in the upper tail. The z-value is approximately 3.49.

e. To find the z-value for an area to the right of z equal to 0.6847, we find the value that corresponds to 1 - 0.6847 = 0.3153 in the upper tail. The z-value is approximately -0.48.

In summary, the z-values for the given situations are approximate:

a. -0.90

b. 2.17

c. 0.85

d. 3.49

e. -0.48

These values can be used to determine the corresponding percentiles or probabilities for the standard normal distribution. The values are typically found using standard normal distribution tables or statistical calculators that provide the cumulative probability distribution function (CDF) for the standard normal distribution.

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Answer:

Step-by-step explanation:

Lets calculate the points:

Totals

GPA = total points/ total hours

Correct option is C

The image after a dilation by a scale factor of 4 centered at the origin is (-132,-352).

Scale factor is a mathematical term that refers to the ratio of two corresponding sides of similar shapes. It is used to compare the size of objects or figures by determining the size of a model in relation to its actual size. For example, if two shapes are similar, then their scale factor will be the same. This is useful in engineering and architecture when building scaled models of structures and machines. Scale factors can also be used to determine the proportions and measurements of an object in relation to similar objects.

This is because a dilation by a scale factor of 4 is the same as multiplying the original coordinates by 4. So, if the original coordinates were (-3,-8), then the new coordinates would be (-12,-32). Then, the coordinates are shifted by the center (the origin), so the new coordinates are (-132,-352).

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AnStep-by-step explanation:

The joint PDF which is uniform over the triangle with vertices  is:

f(x,y) = 2, 0 ≤ x ≤ 1, 0 ≤ y ≤ 1-x.

Since the joint PDF is uniform over the triangle with vertices at (0,0), (0,1), and (1,0), the joint PDF can be expressed as:

f(x,y) = c, 0 ≤ x ≤ 1, 0 ≤ y ≤ 1-x,

where c is a constant that ensures that the total probability over the entire region is equal to 1. To find c, we can integrate the joint PDF over the entire region:

\(\int \int f(x,y)dydx = \int ^1_0 \int _0^{(1-x)} c dydx\)

\(= \int ^1_0 cx - cx^2/2 dx\)

= c/2

Since the total probability over the entire region must be equal to 1, we have:

∫∫f(x,y)dydx = 1

Thus, we have:

c/2 = 1

c = 2

Therefore, the joint PDF is:

f(x,y) = 2, 0 ≤ x ≤ 1, 0 ≤ y ≤ 1-x.

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Answer:

B.20

Step-by-step explanation:

Answer:

Something is wrong here, the correct answer is $45 which is not listed.

Step-by-step explanation:

36 x 1.25 = 45

Using bisection method, we estimate value of √11 (square root of 11) within a tolerance of ε = 0.005 on interval [2, 2.3]. This method involves iteratively narrowing interval until desired level of accuracy is achieved.

To begin, we evaluate the function f(x) = x² - 11 on the interval [2, 2.3]. We find that f(2) = -7 and f(2.3) = 0.59. Since f(2) is negative and f(2.3) is positive, we can conclude that there exists a root of f(x) = 0 within the interval [2, 2.3].Next, we divide the interval [2, 2.3] into smaller subintervals and check the sign of f(x) at the midpoint of each subinterval. The bisection method iteratively narrows down the interval by selecting the subinterval where f(x) changes sign. This process is repeated until the desired level of accuracy is achieved.

By applying the bisection method with the given tolerance of ε = 0.005, we repeatedly divide the interval and evaluate f(x) until the width of the interval is less than 0.005. The final interval will contain the estimate of the square root of 11, denoted as V11.

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