BRAINLIST!! Look at the inequality graphed on the number line below.

This inequality has

One solution at x = 3
Seven solutions
Three solutions
Eight Solutions
Infinity Solutions

The frequency of a class is the number of data points that fall within the class is 1.

To determine the frequency of each class in the table shown, we must first divide the data points into the respective classes. The classes are 1003, 1062, 1063, 1122, 1123, 1182, 1183, 1242, 1243, 1302, 1303, and 1362.

For the class 1003, the frequency is 1, since there is only one data point (1003) in this class.

For the class 1062, the frequency is also 1 since there is only one data point (1062) in this class.

For the class 1063, the frequency is also 1 since there is only one data point (1063) in this class.

For the class 1122, the frequency is 1 since there is only one data point (1122) in this class.

For the class 1123, the frequency is 1 since there is only one data point (1123) in this class.

For the class 1182, the frequency is 1 since there is only one data point (1182) in this class.

For the class 1183, the frequency is 1 since there is only one data point (1183) in this class.

For the class 1242, the frequency is 1 since there is only one data point (1242) in this class.

For the class 1243, the frequency is 1 since there is only one data point (1243) in this class.

For the class 1302, the frequency is 1 since there is only one data point (1302) in this class.

For the class 1303, the frequency is 1 since there is only one data point (1303) in this class.

For the class 1362, the frequency is 1 since there is only one data point (1362) in this class.

Therefore, the frequency of each class in the table shown is 1.

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Sai vì số Nguyên dương nhỏ trừ số nguyên dương lớn bằng số nguyên âm

The cost of pizza and salad will be $8.54 and $2.64 respectively.

An equation simply has to do with the statement that illustrates the variables given. In this case, it is vital to note that two or more components are considered in order to be able to describe the scenario.

The equation will be represented as;

Let p = pizza

Let s = salad

2p + 3s = 25

3p + 2s = 30.90

Multiply equation i by 3

Multiply equation ii by 2

6p + 9s = 75

6p + 4s = 61.80

Subtract.

5s = 13.20

Divide

s = 13.20 / 5

s = $2.64

Pizza will be

2p + 3s = 25

2p + 3(2.64) = 25

2p = 25 - 7.92

p = 17.08 / 2

p = 8.54

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l

Complete question

Two groups of students went to pizza delight one group paid 25 dollars 2 pizzas and 5 salads the other group paid 30.90 dollars for 3 pizzas and 2 salads. Find the cost of the pizza and salad.

A leather coat costs $120 and the sales tax is 7.25%. What is the TOTAL cost of the coat?

We need to take 7.25% out of 120.

\(7.25%\) of \(120 = 8.7\)

Now add the cost, and the tax.

\(120 + 8.7 = 128.7\)

Put into currency form.

$\(128.70\)

Final answer, 128 dollars, and 70 cents.

Answer:

Try this!!!

Step-by-step explanation:

Experimental Probability:

The experimental probability of an event is found by dividing the number of times the event occurs by the total number of trials. In this case, the name Grace was chosen 15 times out of 116 trials, so the experimental probability of choosing Grace is:

Experimental Probability = Number of times Grace was chosen / Total number of trials

Experimental Probability = 15 / 116

Experimental Probability = 0.1293 or approximately 12.93%

Theoretical Probability:

The theoretical probability of an event is found by dividing the number of favorable outcomes by the total number of possible outcomes. In this case, there are six names in the hat, so the probability of choosing Grace is:

Theoretical Probability = Number of favorable outcomes / Total number of possible outcomes

Theoretical Probability = 1 / 6

Theoretical Probability = 0.1667 or approximately 16.67%

If the number of names in the hat were different, both the experimental and theoretical probabilities would change. For example, if there were only three names in the hat, the theoretical probability of choosing Grace would be 1/3 or approximately 33.33%. The experimental probability would also change based on the number of times Grace was chosen out of the total number of trials. As the number of names in the hat increases, the theoretical probability of choosing Grace decreases, and the experimental probability becomes more accurate as the number of trials increases.

Answer: \(5\sqrt{2}\)

Step-by-step explanation:

\(Distance\ formula=\sqrt{(x_2-x_1)^2+(y_2-y_1)^2} }\)

plugging in the values we know:

\(x_2 = 3,\ x_1=-4,\ y_2=7,\ y_1=6\)

Therefore,

\(Distance=\sqrt{(3-(-4))^2+(7-6)^2}\)

\(\rightarrow\ \sqrt{(3+4)^2+(1)^2}\)

\(\rightarrow\ \sqrt{7^2+1}\)

\(\rightarrow\ \sqrt{50}\)

\(\rightarrow\ \sqrt{5\times5\times2}\)

\(\rightarrow\ \large\boxed{5\sqrt{2}}\)

The score of the top 2.5% of the applicants would be at least 610.

To find the score of the top 2.5% of the applicants, we need to use the z-score formula:

z = (x - μ) / σ

where x is the score we want to find, μ is the mean (460), σ is the standard deviation (80), and z is the z-score corresponding to the area under the normal curve to the right of x.

We want to find the z-score such that the area to the right of z is 0.025 (since we're looking for the top 2.5%). Using a table or calculator, we find that the z-score corresponding to an area of 0.025 to the right is approximately 1.96.

So,

1.96 = (x - 460) / 80

Solving for x, we get:

x = 1.96 * 80 + 460 = 610.8

Rounding to the nearest integer, we get 610. Therefore, the score of the top 2.5% of the applicants would be at least 610.

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the cumulative incidence of jaundice is approximately 0.3093 or 30.93%.

The cumulative incidence of jaundice can be calculated by dividing the number of new cases of jaundice by the total number of individuals at risk.

In this case, 60 members of the 97-person football team developed fever, malaise, loss of appetite, and abnormal discomfort. Within a few days, 30 of those players became jaundiced.

Therefore, the cumulative incidence of jaundice can be calculated as follows:

Cumulative Incidence of Jaundice = Number of new cases of jaundice / Total number of individuals at risk

Cumulative Incidence of Jaundice = 30 / 97 ≈ 0.3093

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Answer:

$2.28

Step-by-step explanation:

Football: $22.50

Gloves: $15.50

Total: $38.00

Sales tax is 6%

So the amount of money paid in Sales Tax is (6/100) * $38.00  = $2.28.

Total purchase price is: $40.28

Answer:

Divide 17 by 20.

Step-by-step explanation:

Answer is 0.85.

Answer:

Step-by-step explanation:

\(\frac{17}{20} \\\\\)

Through long division

\(\begin{matrix}\space\space\space\space\space\space\space\space\emptyspace0\space\space\space\space\space\space\space\space\space\space\space\space\\ 20\overline{|\smallspace17}\space\space\space\space\space\space\space\space\space\space\space\space\end{matrix}\\\\\)

Developers determine the specifics of how to build a system in the design phase. b

The design phase and its importance:
Define Objectives:

The design phase begins after the completion of the analysis phase, where developers have gathered and evaluated requirements.

The main objective of the design phase is to create a blueprint for the system that addresses all identified requirements.
Create Architectural Design:

During this step, developers establish the overall structure of the system, including its components, their relationships, and the interactions between them.

This architectural design provides a high-level view of the system's organization.
Design System Components:

With the architectural design in place, developers focus on designing individual components or modules of the system. They create detailed specifications, which include the functionality, inputs, outputs, and processes for each component.
Design User Interface:

The user interface design involves creating a user-friendly and efficient way for end-users to interact with the system. This can include designing screen layouts, menus, buttons, and other interface elements.
Validate Design:

The final step in the design phase is to ensure that the proposed design meets all the requirements identified during the analysis phase.

Developers may use various methods, such as reviews and simulations, to validate their design before proceeding to the implementation phase.
The design phase is a crucial part of the system development process, as it defines how the system will be built, ensuring it meets the needs of its users and the project's objectives.

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Answer:

43.96 cm

Step-by-step explanation:

Given

Radius ( r ) = 7 cm

To find : Circumference of Circle

Formula

Circumference of Circle = 2πr

Note

The Value of π = 3.14

Circumference of Circle

= 2πr

= 2 × 3.14 × 7

= 43.96 cm

Answer:

Not Rounded: 43.9822971503

Rounded: 44

Step-by-step explanation:

r= radius

2\(\pi\)r

2\(\pi\)(7)

= 43.9822971503

Answer:

146⁰

Step-by-step explanation:

You simply add the measurements of the two angles together.

59⁰ + 87⁰ = 146⁰

For both triangles to be proven to be similar by the SAS similarity theorem, the additional information needed to be shown is a pair of congruent included angles, which is: ∠N ≅ ∠Z

What is the SAS Similarity Theorem?

The SAS Similarity Theorem states that two triangles are similar to each other if they have two pairs of corresponding sides that are proportional to each other and a pair included angles that are congruent.

According to the given question:

△LMN and △XYZ have:

two pairs of corresponding sides that are proportional

(YZ/MN = XZ/LN = 3)

Therefore, for both triangles to be proven to be similar by the SAS similarity theorem, the additional information needed to be shown is a pair of congruent included angles, which is: a. ∠N ≅ ∠Z

Complete question:

The ratios of two pairs of corresponding sides are equal.

Triangles L M N and X Y Z are shown. Side L M is blank, side M N is 3, and side N L is 2. Side X Y is blank, side Y Z is 9, and side Z X is 6.

To prove that △LMN ~ △XYZ by the SAS similarity theorem, it also needs to be shown that?

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A dot plot is a graphical representation of data that shows the frequency of each data value on a number line by plotting dots above the values. A box plot is a graphical representation of data that depicts data distribution using five key values: minimum, first quartile, median, third quartile, and maximum.

The box plot in this case depicts the distribution of points awarded to dance teams in a competition. The minimum value is zero, the first quartile is fifty, the median is seventy, the third quartile is ninety, and the maximum value is one hundred.

"dot plot titled Dance Competition Points with Points on the x axis and Number of Teams on the y axis with 2 dots over 50, 1 dot over 70, 2 dots over 90, 1 dot over 100," is the dot plot that best represents the box plot data. This dot plot accurately reflects the data distribution in the box plot.

It shows two dots over 50 (representing two teams), one dot over 70 (representing one team), two dots over 90 (representing two teams), and one dot over 100 (representing one team) (representing 1 team). These values correspond to the box plot values and accurately represent the data distribution.

The other dot plots do not accurately reflect the distribution of the data as they either have incorrect values or incorrect frequencies for each value.

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The probability of having three or more consecutive years with two or fewer compressor failures per year is about 6.16%.

Clark Property Management should expect to experience some consecutive years with higher compressor failure rates.

Let X represent the number of AC compressor failures. Thus, the probability distribution of X is as follows :

Number of Compressor Failures Probability (Relative Frequency)

0 0.061 0.132 0.253 0.284 0.205 0.076 0.01.

We will select two-digit random numbers from a table of random numbers. We will simulate 20 years of compressor failure.

As a result, there will be a total of 20 values of X, each representing a year's worth of data.

We may now determine whether it is typical to have three or more consecutive years with two or fewer compressor failures per year.

The Monte Carlo simulation is used to complete this task. We may use an online random number generator if a table of random numbers is not available.

Monte Carlo simulation is a statistical modeling method that employs random sampling techniques to simulate the output of a complicated system.

It is a stochastic modeling technique that allows for uncertainty and risk evaluation in complex systems where deterministic methods are insufficient.

Monte Carlo simulation generates random input values for a system with a mathematical model, allowing it to calculate possible outcomes.

These results are then used to generate probability distributions of potential results.

In essence, the Monte Carlo simulation is an experiment conducted on a computer that provides insight into the degree of risk related to decision-making.

1. Set up a model: Determine the system and create a mathematical model that will be utilized in the Monte Carlo simulation.

2. Define input values: Identify the variables that will affect the model's output and define input probability distributions for each.

3. Generate random numbers: Using the input probability distributions, generate random numbers for each variable

4. Run simulations: Run a large number of simulations using the random numbers generated in step 3.

5. Analyze the results: Using the outputs of the Monte Carlo simulation, estimate potential outcomes and the likelihood of different results.

6. Make decisions: Use the data and insights obtained from the Monte Carlo simulation to inform your decision-making.

After conducting the Monte Carlo simulation, it was determined that it is unusual to have three or more consecutive years with two or fewer compressor failures per year.

The probability of having three or more consecutive years with two or fewer compressor failures per year is about 6.16%.

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Answer:

36

Step-by-step explanation:

Unit price: 9 / 5 = 1.8

20 box price: 1.8 * 20 = 36

Answer:

B) twice v

Step-by-step explanation:

because if there is no any sign between a number and a variable then you know that there is sign of multiplication

If Janet provides 4 waiting spaces, the expected fraction of potential customers that will be lost due to inadequate waiting space is 0.0042, or about 0.42%.

What is the fraction?

A fraction is a mathematical representation of a part of a whole, where the whole is divided into equal parts. A fraction consists of two numbers, one written above the other and separated by a horizontal line, which is called the fraction bar or the vinculum.

To determine the expected fraction of potential customers that will be lost due to inadequate waiting space, we need to use queuing theory to model the car wash operation.

Let's consider the two scenarios:

(a) 2 waiting spaces:

In this case, we can model the system as an M/M/2 queue, where arrivals follow a Poisson process with a rate λ = 1/5 customers per minute and service times follow an exponential distribution with rate μ = 1/4 cars per minute.

The utilization factor of the system is ρ = λ/2μ = (1/5)/(2*(1/4)) = 0.4, which is less than 1, so the system is stable.

Using Little's Law, we can calculate the expected number of customers in the system:

L = λ * W

where L is the expected number of customers in the system, λ is the arrival rate, and W is the expected time a customer spends in the system (i.e., waiting time plus service time).

The expected waiting time in an M/M/2 queue can be calculated as:

Wq = (2ρ)/(2 - ρ) * (1/λ)

where Wq is the expected waiting time in the queue.

The expected time in the system can be calculated as:

W = Wq + (1/μ)

Substituting the values, we get:

Wq = (2*0.4)/(2-0.4) * (1/1/5) = 1 minute

W = 1 + 1/4 = 1.25 minutes

The expected fraction of potential customers that will be lost due to inadequate waiting space can be calculated as:

P(lost) = ρ² / (1 - ρ) * (1 - 2ρ⁽ⁿ⁻¹⁾ + ρⁿ)

where n is the number of waiting spaces. In this case, we have n = 2, so:

P(lost) = 0.4² / (1 - 0.4) * (1 - 2*0.4⁽²⁻¹⁾+ 0.4²) = 0.196

Therefore, if Janet provides 2 waiting spaces, the expected fraction of potential customers that will be lost due to inadequate waiting space is 0.196, or about 19.6%.

(b) 4 waiting spaces:

In this case, we can model the system as an M/M/4 queue, where arrivals follow a Poisson process with rate λ = 1/5 customers per minute and service times follow an exponential distribution with rate μ = 1/4 cars per minute.

The utilization factor of the system is ρ = λ/4μ = (1/5)/(4*(1/4)) = 0.25, which is less than 1, so the system is stable.

Using the same formulas as before, we can calculate:

Wq = (4*0.25)/(4-0.25) * (1/1/5) = 0.625 minute

W = 0.625 + 1/4 = 0.875 minutes

P(lost) = 0.25² / (1 - 0.25) * (1 - 2*0.25⁽⁴⁻¹⁾ 0.25⁴) = 0.0042

Therefore, if Janet provides 4 waiting spaces, the expected fraction of potential customers that will be lost due to inadequate waiting space is 0.0042, or about 0.42%.

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Yes, there are experts here in data forecasting methods who can help you with the topics you've mentioned including time series (holts, holts winter), naive method, regression, acf, pacf, arima, stl method and multivariate time series.

Below are brief explanations of each of these terms:

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The simplified expression is determined as  ⁵/₂  x  ³/₂  = ¹⁵ / ₄.

To simplify an expression means to write an equivalent expression which contains no similar terms. This means that we will rewrite the expression with the fewest terms possible.

The given expression;

2¹/₂  x 1¹/₂

We will convert the expression into improper fraction as follows;

2¹/₂  x 1¹/₂ = ⁵/₂  x  ³/₂

Finally, we will simplify the expression as follows;

⁵/₂  x  ³/₂  = ¹⁵ / ₄

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The area enclosed by the curve x = t^2 − 3t, y = √t and the y-axis is 2.08 square units.

We have been given parametric equations x = t^2 − 3t, y = √t

We need to find the area enclosed by the curve x = t^2 − 3t, y = √t and the y-axis.

Consider x = 0

So, t^2 − 3t =  0

t(t - 3) = 0

t = 0   or  t = 3

Let f(t) =  t^2 − 3t and g(t) = t

Differentiate the curve f(t) with respect to t.

f'(t) = 2t - 3

NWe know that the formula to find the area under the curve.

A = ∫[a to b] g(t)f'(t) dt

here, a = 0 and b = 3

so, A = ∫[0 to 3] √t (2t - 3) dt

A = ∫[0 to 3] (2t√t - 3√t) dt

A = ∫[0 to 3] (2t^(3/2) - 3t^(1/2)) dt

A = [4/5 t^(5/2) - 2 t^(3/2)]_[t = 0, t = 3]

A = 4/5 3^(5/2) - 2 3^(3/2) - 0 + 0

A = 4/5 3^(5/2) - 2 3^(3/2)

A = 6√3 /5

A = 2.08

Therefore,  the area of the curve is 2.08 square units.

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Answer:

Step-by-step explanation:

solution -4x+6

To answer this question, simply plug in the values that represent the variables into the respective equations.

If z=5 and y =3, then 12z - 3y can be written as:

(12 × 5) - (3 × 3)

(60) - (9)

= 51

If z = 5, then the expression 4z -z can be written as:

(4 × 5) - 5

20-5

= 15

51 and 15 are your answers

Answer:

the median is 91

Step-by-step explanation:

have a good day

Yes, her strategy was correct.

When compared to operations involving just two numbers, solving an arithmetic expression that includes multiple operations like addition, subtraction, multiplication, and division is more difficult. A two-number operation is simple, but how do you work out an expression with brackets as well as multiple operations, as well as how to make a bracket simpler? Let's review the BODMAS rule as well as discover how brackets can be made simpler. For Bracket, Order, Division, Multiplication, Addition, and Subtraction, the acronym BODMAS is used. The acronym PEMDAS, which stands for Parentheses, Exponents, Multiplication, Division, Addition, as well as Subtraction, is also known as BODMAS in some areas. Thus, the following figure illustrates the order in which BODMAS and PEMDAS operate.

Simplification is done following BODMAS rule.

266-39 gives 227.

Hence, her strategy was correct.

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The value is 3/2 (a)

The given function is , f(x)= 2x 3 where x = value of this function .

Here , we will put the value 1/4 ( here x = 1/4 ) into the given function. if , f(1/4) = 2 . 1/4 . 3 = 3/2

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Answer:

16?

Step-by-step explanation:

Im not sure sorry if its wrong

The rate the object is heated is \(\underline8\) degrees Celsius per day