Felipe dice que su calculadora no funciona. Para cambiar solo el 9 del 39.200 sumó 1.000 pero obtuvo 40.200. ¿Cómo le explicarías a Felipe por qué no cambió solo el 9?

Given f(x, y, z) = 2xyz, and function f(x) g(x, y, z) = 3x^2 + 3yz + xy = 27. To find the critical point which satisfies the condition of Lagrange Multipliers

we need to use the method of Lagrange multipliers as follows.  Let's define λ as the Lagrange Multiplier and write the Lagrangian L as:L = f(x, y, z) - λg(x, y, z)Now, substitute the given functions to the above equation.L = 2xyz - λ(3x^2 + 3yz + xy - 27)Taking the partial derivative of L with respect to x and equating it to zero, we get0 = ∂L/∂x = 2yz - 6λx + λyUsing the same method, we get0 = ∂L/∂y = 2xz - 3λz + λx0 = ∂L/∂z = 2xy - 3λyThe given function is such that it becomes more complicated to find x, y, and z using the partial derivative method since they are very mixed up. Thus, we have to use other methods such as substitution method or solving the system of equations. So, we need to solve the system of equations:2yz = 6λx - λy2xz = 3λz - λx2xy = 3λyTo do this, we need to eliminate the λ's. Dividing the first equation by 6 and then substituting λy for z in the second equation, we get:y = 4x/3Substituting this into the third equation and solving for λx, we get:λx = 8/3Substituting these values for x and λx into the first equation, we get:2yz = 8y/3So, z = 4/3Substituting these values into the second equation, we get:2x * (4/3) = 3λz - λx8x/3 = 12λ/3λ = 2/3So, x = 1 and y = 4/3.Thus, the critical point is (x, y, z) = (1, 4/3, 4/3).

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Answer:

Standard deviation σ = 1.40 (2 d.p.)

Step-by-step explanation:

If a continuous random variable X is normally distributed with mean μ and variance σ², it is written as:

\(\boxed{X \sim\text{N}(\mu,\sigma^2)}\)

Given:

Therefore, if the haemoglobin levels are normally distributed:

\(X \sim\text{N}(13.9,\sigma^2)\)

where X is the haemoglobin level.

Converting to the Z distribution:

\(\boxed{\textsf{If }\: X \sim\textsf{N}(\mu,\sigma^2)\:\textsf{ then }\: \dfrac{X-\mu}{\sigma}=Z, \quad \textsf{where }\: Z \sim \textsf{N}(0,1)}\)

Transform X to Z:

\(\text{P}(X < 16.2)= \text{P}\left(Z < \dfrac{16.2-13.9}{\sigma}\right)= 0.95\)

According to the z-tables, when p = 0.95, z = 1.6449

\(\implies \dfrac{16.2-13.9}{\sigma}=1.6449\)

\(\implies \dfrac{2.3}{\sigma}=1.6449\)

\(\implies \sigma=\dfrac{2.3}{1.6449}\)

\(\implies \sigma=1.40\)

lower limit of the 99% interval = 3.7265

Upper limit of the 99% interval = 6.1535

What do you mean  by standard deviation?

The standard deviation is a quantity that reveals the degree of variation (such as spread, dispersion, and spread) from the mean.

Number of students, n = 11

Averange time , mean , μ = 4.94

Standard deviation , \(s_{x}\) = 1.27

Significance level , α = 1 -= 0.99 = 0.01

Degree of freedom for t-distribution , d.f. = n - 1 = 11 - 1 = 10

Critical value = \(t_{\alpha /2,d.f\) = \(t_{0.005,10}\) = 3.169

Margin of error ,E = \(t_{\alpha /2,d.f\) × \(\frac{s_{x} }{\sqrt{n} }\) = 3.169  ×\(\frac{1.27}{\sqrt{11} }\) = 3.169 × 0.38292 = 1.21347

Limits of 99% confidence intervals are given by:

a) Lower limit = μ - E = 4.94 - 1.21347 = 3.7265

b) Upper limit = μ + E = 4.94 + 1.21347 = 6.1535

Therefore, lower limit of the 99% interval = 3.7265

Upper limit of the 99% interval = 6.1535

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Answer:

B.  The mass is conserved

Step-by-step explanation:

A.  The identity of the substance does not change.          [FALSE]

B.  The mass is conserved.                                                  [TRUE]

C. The substance always changes from solid to liquid.     [FALSE]

D. The particles are not rearranged.                                   [FALSE]

29/32

Step-by-step explanation:

ng x value 32wrffddfddfffryufcjhfddxhjhddxffdssdtt

For the given values g = 15, h=2, the evaluation of the expression is obtained as 9.3.

It is defined as the combination of constants and variables with mathematical operators.

It is given that, the expression is 0.9g - 2.1h and g = 15, h=2.

Substitute the value of g and h in order to evaluate the expression,

=0.9g - 2.1h

=0.9(15)-2.1(2)

We have to apply the arithmetic operation in which we do the addition of numbers, subtraction, multiplication, and division. It has basic four operators that are +, -, ×, and ÷.

Thus, for the given values g = 15, h=2, the evaluation of the expression is obtained as 9.3.

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The value of IQR is 90 when box plot data where Q₁ = 200, Q₂ = 250, and Q₃ = 290.

Given that,

For box plot data where Q₁ = 200, Q₂ = 250, and Q₃ = 290

We have to find the data of IQR.

We know that,

IQR is define as the variation in the distribution of your data's middle quartile is measured by the interquartile range (IQR). It is the range that corresponds to your sample's middle 50%. Measure the variability where the majority of your numbers are by using the IQR.

IQR Formula is Q₃ - Q₁

So,

Q₃ = 290

Q₁ = 200

Then ,

IQR = Q₃ - Q₁

IQR = 290 - 200

IQR = 90

Therefore, The value of IQR is 90.

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By analyzing the degrees and leading coefficients, you can determine how the rational function behaves at the extreme ends of the x-axis.

To determine the end behavior of a rational function, you need to examine the degrees of the numerator and denominator polynomials. The end behavior refers to how the function behaves as the input (x-values) approaches positive or negative infinity.

Here are the steps to determine the end behavior of a rational function:

1. Identify the highest power of x in the numerator and denominator. Let's call them n and m, respectively.

2. If n < m, the degree of the denominator is greater than the numerator. In this case, the function's end behavior is determined by the degree of the denominator.

  - If m is even, the function approaches the horizontal axis (y = 0) as x approaches both positive and negative infinity.

  - If m is odd, the function approaches opposite infinities: positive infinity as x approaches negative infinity and negative infinity as x approaches positive infinity.

3. If n = m, the degree of the numerator is equal to the denominator. In this case, the leading coefficients of the numerator and denominator determine the end behavior.

  - The function approaches the ratio of the leading coefficients as x approaches both positive and negative infinity.

4. If n > m, the degree of the numerator is greater than the denominator. In this case, the function's end behavior is determined by the degree of the numerator.

  - If n is even, the function approaches positive infinity as x approaches both positive and negative infinity.

  - If n is odd, the function approaches opposite infinities: positive infinity as x approaches positive infinity and negative infinity as x approaches negative infinity.

By analyzing the degrees and leading coefficients, you can determine how the rational function behaves at the extreme ends of the x-axis.

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Explanation:

For choice C, the x values are out of order, so it might be tricky at first. I recommend sorting the x values from smallest to largest to get -2, -1, 0, 1, 2. Do the same for the y values as well. Make sure the correct y values stay with their x value pairs. You should get the list of y values to be 4, 2, 1, 1/2, 1/4

Check out the attached image below for the sorted table I'm referring to

We can see the list of y values is going down as x increases. This is a good sign we have decay. Further proof is that we multiply each term by 1/2 to get the next one

4 times 1/2 = 2

2 times 1/2 = 1

1 times 1/2 = 1/2

1/2 times 1/2 = 1/4

and so on. Effectively we can say the decay rate is 50%

Answer:

Yes, beacuse the ratios of the corresponding sides are equal.

Step-by-step explanation:

12/36 = 0.33

10/30 = 0.33

15/45 = 0.33

Answer:

The answer is true

Step-by-step explanation:

Answer:

this question is true for the answer :)

Given, the equation:f(x,y)=4−x2−3y2To find the values of fx(1,0) and fy(1,0) and interpret these numbers as slopes. The formula for the partial derivative of the function with respect to x, that is fx is as follows:fx=∂f/∂x

Similarly, the formula for the partial derivative of the function with respect to y, that is fy is as follows:

fy=∂f/∂y

Now, we will find

fx(1,0).fx=∂f/∂x=−2x

At (1,0),fx=−2x=−2(1)=-2

Now, we will find

fy(1,0).fy=∂f/∂y=−6y

At (1,0),fy=−6y=−6(0)=0

Therefore, fx(1,0)=-2 and fy(1,0)=0.

Interpretation of the values of fx(1,0) and fy(1,0) as slopes: The value of fx(1,0)=-2 can be interpreted as a slope of -2 in the x direction, when y is held constant at 0. The value of fy(1,0)=0 can be interpreted as a slope of 0 in the y direction, when x is held constant at 1.We are given a function f(x,y) = 4 − x² − 3y² and are asked to find fx(1,0) and fy(1,0) and interpret these numbers as slopes. To calculate these partial derivatives, we first calculate fx and fy:fx=∂f/∂x=−2xandfy=∂f/∂y=−6yWhen we substitute (1,0) into these expressions, we get:fx(1,0) = -2(1) = -2andfy(1,0) = -6(0) = 0So the slopes are -2 in the x direction when y is held constant at 0, and 0 in the y direction when x is held constant at 1. This means that the function is steeper in the x direction than in the y direction at the point (1,0).

Therefore, the slopes are -2 in the x direction when y is held constant at 0, and 0 in the y direction when x is held constant at 1. This means that the function is steeper in the x direction than in the y direction at the point (1,0).

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The 3 combinations of coins with the value of 30% of a dollar are 2 dimes + 1 Nickel + 5 Pennies, 1 dime + 2 Nickels + 10 Pennies, 3 Nickels + 1 dime + 5 Pennies.

How many types of coins are there?

There are 4 types of coins. They are Quarter, Nickel, dime, and Penny.

1 Quarter = 25 cent

1 dime = 10 cents

1 Nickel = 5 cents

1 penny = 1 cent

Now calculate 30 percentage of a dollar.

1 dollar = 100 cents.

30% of 100 cents = (30/100) × 100 = 30 cents.

2 dimes + 1 Nickel + 5 Pennies = 20 cents + 5 cents + 5 cents = 30 cents

1 dime + 2 Nickels + 10 Pennies = 10 cents + 10 cents + 10 cents = 30 cents

3 Nickels + 1 dime + 5 Pennies = 15 cents + 10 cents + 5 cents = 30 cents

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100% of $3=$x

1×$3=$x

$3/$=$x/$

3=x

x=3

Answer: C. Sesame oil freezes at a lower temperature than peanut oil because −6.2 °C < 3.1 °C

Step-by-step explanation:

Given that:

Freezing point of sesame oil = - 6.2°C

Freezing point of peanut oil = 3.1°C

Comparing the two temperatures :

Freezing(when a substance turns to solid) usually occurs at low temperatures. The temperature of sesame oil(-6 2°C) is lower than that of peanut oil(3.1°C).

Hence, it can be concluded that Sesame oil freezes at lower temperature than peanut oil.

Mathematically,

-6.2°C < 3.1°C

Answer:

Answer: C. Sesame oil freezes at a lower temperature than peanut oil because −6.2 °C < 3.1 °C

Step-by-step explanation:

Number of refills = Distance traveled / (Fuel efficiency x Tank capacity)

Substituting the given values, we get:

Number of refills = 808.1 / (20 x 1)

Number of refills = 40.41

Rounding up to the nearest whole number, we get:

Number of refills = 41

Therefore, the tank needs to be refilled 41 times.

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BIS (Bayesian Nash Equilibrium with Incomplete Information) is used when players have private information that affects their decision-making. It assumes players have subjective beliefs about each other's types and use Bayes' rule to update their beliefs.

BIS incorporates uncertainty and provides a refined equilibrium concept.

SPE (Subgame Perfect Equilibrium) is used in dynamic games with multiple stages. It requires that strategies are optimal not only at each stage but also in every possible subgame. SPE helps predict players' actions by considering their ability to react to deviations in the game.WSE (Welfare-maximizing Social Equilibrium) aims to find an equilibrium that maximizes social welfare. It considers not only individual players' payoffs but also the overall welfare of society.

WSE incorporates fairness and efficiency considerations.BIS is used when players have private information, SPE is used in dynamic games to capture credible strategies, and WSE focuses on maximizing social welfare. Each concept serves different purposes in decision-making in game theory.

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In the special case of two degrees of freedom, the chi-squared distribution does not coincide with the exponential distribution. The chi-squared distribution is a continuous probability distribution that arises in statistics and is used in hypothesis testing and confidence interval construction. It is defined by its degrees of freedom parameter, which determines its shape.

On the other hand, the exponential distribution is also a continuous probability distribution commonly used to model the time between events in a Poisson process. It is characterized by a single parameter, the rate parameter, which determines the distribution's shape.

While both distributions are continuous and frequently used in statistical analysis, they have distinct properties and do not coincide, even in the case of two degrees of freedom. The chi-squared distribution is skewed to the right and can take on non-negative values, while the exponential distribution is skewed to the right and only takes on positive values.

The chi-squared distribution is typically used in contexts such as goodness-of-fit tests, while the exponential distribution is used to model waiting times or durations until an event occurs. It is important to understand the specific characteristics and applications of each distribution to appropriately utilize them in statistical analyses.

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From the given dot plot, it is found that:

1. Farm 1 has mean of 8 inches and standard deviation of 1.15 inches, while Farm 2 has a mean of 8 inches but a standard deviation of 2.31 inches.

2. The lower standard deviation tells that the heights of the trees in Farm 1 are more uniform than in Farm 2.

A dot plot shows the number of times that each observation appears in a data-set.

Hence, at farm 1, the measures are given as follows:

6, 7, 7, 8, 8, 8, 9, 9, 10.

The mean is given by:

M = (6 + 2 x 7 + 3 x 8 + 2 x 9 + 10)/9 = 8 inches.

The standard deviation is given by:

S = sqrt[((6-8)² + 2 x (7-8)² + 3 x (8-8)² + 2 x (9-8)² + (10-8)²)/9] = 1.15 inches.

For Farm 2, the measures are given as follows:

4, 6, 6, 8, 8, 8, 10, 10, 12.

Hence the mean and the standard deviation are given, respectively, by:

Farm 1 trees' heights have a lower standard deviation than Farm 2 trees' heights, hence they have more uniform trees.

The problem is missing and is given by the image at the end of the answer.

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Answer:

Each local sales department has 120 employees. The company wants to survey its employees to determine the most effective sales method.

Step-by-step explanation:

Answer:

they should used a random sample including the staff members

Step-by-step explanation:

Answer:14

Step-by-step explanation:

is the answer or is adding or subtracting or multiply or divide i dont know

Answer: its 50

Step-by-step explanation:

We can make predictions about the cost of fire damage based on the distance from the house to the nearest fire station. This information can be useful to insurance companies, fire departments, and homeowners in determining the risk of fire damage and the appropriate level of insurance coverage needed.

In this particular study, the insurance company has determined that a linear relationship exists between the cost of fire damage in major residential fires and the distance from the house to the nearest fire station. The cost of fire damage is the dependent variable, while the distance from the house to the nearest fire station is the independent variable.
For this study, a sample of 20 recent fires in a large suburb of a major city was selected. For each fire, the following variables were recorded:
- the cost of fire damage in thousands of dollars (the dependent variable)
- the distance from the house to the nearest fire station in miles (the independent variable)
It is expected that the cost of fire damage increases as the distance from the house to the nearest fire station increases. This is because, as the distance from the fire station increases, the response time also increases, which can result in more damage being done to the property.
To analyze this data, a linear regression model can be used. The model will help to determine the nature and strength of the relationship between the two variables. The model will generate an equation in the form of y = mx + b, where y is the cost of fire damage, x is the distance from the house to the nearest fire station, m is the slope of the line, and b is the y-intercept.

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Answer:

The events are independent (the outcome of flipping thee coin has no effect on the outcome of rolling the die).

The events are independent (the outcome of flipping thee coin has no effect on the outcome of rolling the die).⇒

The events are independent (the outcome of flipping thee coin has no effect on the outcome of rolling the die).⇒ P(head and an even number)

The events are independent (the outcome of flipping thee coin has no effect on the outcome of rolling the die).⇒ P(head and an even number) = P(head) × P(even number)

P(even number)Assuming a fair coin and a fair die:

P(even number)Assuming a fair coin and a fair die:P(head)

P(even number)Assuming a fair coin and a fair die:P(head) =50%

P(even number)Assuming a fair coin and a fair die:P(head) =50%P(even number)

P(even number)Assuming a fair coin and a fair die:P(head) =50%P(even number) =50%

P(even number)Assuming a fair coin and a fair die:P(head) =50%P(even number) =50% (since half the numbers on a die are even).

P(even number)Assuming a fair coin and a fair die:P(head) =50%P(even number) =50% (since half the numbers on a die are even).P(head and even number)

P(even number)Assuming a fair coin and a fair die:P(head) =50%P(even number) =50% (since half the numbers on a die are even).P(head and even number) =50%×50%=25%

Answer:

4:15

Step-by-step explanation:

12:10+30=12:40

12:40+65=1:45

1:45+ 150= 4:15

Answer:

4:15 PM

Step-by-step explanation:

12:10 PM + :30 Minutes = 12:40 PM (Driving to the theater)  

12:40 + 1:05 Minutes = 1:45 PM (Waiting for the movie to start)  

1:45 PM + 2:30 Minutes = 4:15 (Watching the movie)  

Finished the movie at 4:15 PM exactly.  

How punctual!  

The standard normal distribution has a mean of 0 and a standard deviation of 1. M ≈ 30.935. The median of the distribution is also 25.

(a) To find M, we first need to convert the given values of mean and standard deviation to the standard normal distribution. This can be done by using the formula Z = (X - μ) / σ, where Z is the Z-score, X is the value of interest, μ is the mean, and σ is the standard deviation. In this case, we have X ~ N(25, 9). Substituting the values into the formula, we get Z = (X - 25) / 3. Now we need to find the Z-score that corresponds to the desired probability of 0.95. Using a standard normal distribution table or a calculator, we find that the Z-score corresponding to a cumulative probability of 0.95 is approximately 1.645. Setting Z equal to 1.645, we can solve for X: (X - 25) / 3 = 1.645. Solving for X, we get X ≈ 30.935. Therefore, M ≈ 30.935.

(b) The median is the value that divides the distribution into two equal halves. In a normal distribution, the median is equal to the mean. In this case, the mean is given as 25. Therefore, the median of the distribution is also 25.

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The number of yellow marbles based on the given ratio will be 78.

The ratio is the division of the two numbers.

For example, a/b, where a will be the numerator and b will be the denominator.

Proportion is the relation of a variable with another. It could be direct or inverse.

Suppose, the number of yellow marbles is Y while purple marbles are P.

As per the given,

The ratio Y/P = 13/4

Total Y + P = 102

(13/4)P + P = 102

13P + 4P = 408

17P = 408

P = 24

And, Y = 102 - 24 = 78

Hence "The number of yellow marbles based on the given ratio will be 78".

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