Help me i will give brainliest please help.... goodnight

Answer:

She can make 15 scarves with 5 yards of fabric

For each yard of fabric,3 scarves can be made

Step-by-step explanation:

5 yards  = 5/1 yards

5/1 divided into 1/3     is the same as

5/1 multiplied by 3/1

5X3 = 15

Answer:

Probability of both even is 12×12=14. Given they are both even there are 3 possible even numbers: 2,4,6.

Step-by-step explanation:

Your welcome!

x = 4

Please mark brainiest

The answer will be x = 4, the way to know that is practically move the 8 to the side where is the 3 and convert the positive 8 into a negative 8, then you move the 3 to the other side an change it into a negative 3 to then subtract the 3 with the x and have -2. After that you divide the -2 with the -8 and there is your answer

Answer:

x = 15

Step-by-step explanation:

Given

5(x - 10) = 25 ( divide both sides by 5 )

x - 10 = 5 ( add 10 to both sides )

x = 15

Answer:

x=15

Step-by-step explanation:

\(5\left(x-10\right)=25\)

\(\mathrm{Divide\:both\:sides\:by\:}5\\\frac{5\left(x-10\right)}{5}=\frac{25}{5}\\x-10=5\\\mathrm{Add\:}10\mathrm{\:to\:both\:sides}\\x-10+10=5+10\\x=15\)

The value of P(C and D)  after performing  calculations is 0.15 under the given condition that P(C) = 0.5 and P(D) = 0.3 and the given events that took place are independent.
Let us take C and D as independent events, then using the required principles of probability we can estimated that

\(P(C and D) = P(C) * P(D).\)

Hence placing the values in the created formula
Here,

P(C) = 0.5
P(D) = 0.3

Then,

P(C and D)
= 0.5 x 0.3
= 0.15

Probability refers to the total number of chances or percentage of chances of an event taking place in a dedicated time interval at a specific place.

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The correct answer is choice C, y = x(x − 6)(x 1)(x 3). This is a polynomial function that has a degree of three, and its zeros occur at -3, -1, 0, and 6.

A polynomial function is an expression made up of variables and constants, usually involving powers and exponents. The most basic form of a polynomial equation is a variable raised to the power of one, such as x^1. The variable in the equation is denoted by an "x" and the exponent is denoted by the number of times the variable is multiplied by itself. Polynomial functions can have multiple variables and constants, and can involve different powers and exponents.

When the input values are set to any of these numbers, the output of the function is zero, which confirms that the equation represents a function with zeros at those points.

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Answer:

c. y = x(x − 6)(x + 1)(x + 3)

Step-by-step explanation:

1. Given the equation:

to solve for x:

b. no solution

2. Given the equation:

to solve for x:

a. all real numbers

3. Given the equation:

to solve for x:

c. 1/4

4. Given the equation:

to solve for x:

b. no solution

Answer:

Para encontrar la ecuación de la línea L que pasa por el punto (-2, 4) y es paralela a la línea 3x - 2y = 6, primero debemos encontrar la pendiente de la línea 3x - 2y = 6.

La forma estándar de la ecuación de una línea es y = mx + b, donde m es la pendiente y b es la intersección en y. Podemos reescribir la ecuación 3x - 2y = 6 en esta forma:

3x - 2y = 6

-2 años

Por lo tanto, la pendiente de la línea 3x - 2y = 6 es 3/2.

Dado que la línea L es paralela a esta línea, también tiene una pendiente de 3/2. Ente

y - y1 = m(x - x1)

donde m es la pendiente y (x1, y1) es un punto en la línea. Nos

y - 4 = (3/2)(x - (-2))

Simplificando esta ecuación, obtenemos:

y - 4 = (3/2)x + 3

y = (3/2)x + 7

Por lo tanto, la ecuación de la línea L que pasa por el punto (-2, 4) y es paralela a la línea 3x - 2y = 6 es y = (3/2)x + 7.

Step-by-step explanation:

espero te sirva, traducelo si no puedes español.

The percentage of the scores that are between 75.8 and 89 is; 95%

We are given;

Population mean; μ

Standard deviation; σ = 3.3

Thus;

z-score for a mean score of 75.8 is;

z = (75.8 - 82.4)/3.3

z = -2

z-score for a mean score of 89 is;

z = (89 - 82.4)/3.3

z = 2

From online p-value from z-score calculator, the p-value between both z-scores is;

p-value = 0.9545 = 95.45%

Approximating to the nearest percent = 95%

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Answer:

95

Step-by-step explanation:

it is

Answer:

61.2

Step-by-step explanation:

yes

Answer:

The answer is 9

Step-by-step explanation:

for the equation:

move the -6x

x^2 + c - 6x

To find c :

c = (b/2)^2

this means you have to divide the coefficient of x by 2 then square the result

If you dont understand I put a picture of all the steps

In economics, a utility function is a mathematical function that assigns a numerical value to the satisfaction or utility that a consumer derives from consuming a particular combination of goods and services.

First, let's correct the utility function you provided. I believe it should be:
u(x1, x2) = x1^2 + x2^2

Now, let's find the marginal utility functions with respect to x1 and x2. The marginal utility is the derivative of the utility function with respect to the corresponding variable.

(a) Marginal utility function with respect to x1:
MU_x1 = d(u(x1, x2))/dx1 = 2x1

Marginal utility function with respect to x2:
MU_x2 = d(u(x1, x2))/dx2 = 2x2

(b) The significance of this utility function is that it exhibits diminishing marginal utility for both x1 and x2. As the consumption of x1 or x2 increases, the additional utility gained from consuming more units of x1 or x2 decreases.

This is evident in the marginal utility functions MU_x1 and MU_x2, where the derivatives are constant values (2x1 and 2x2), indicating a linear relationship.

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16. 99% confident that the true proportion of all cars produced that day with minor paint flaws is between 14.4% and 29.6%.

17. A random sample of 384 registered voters is needed

18. a. tested population parameter b. the opposite.

16. To construct a 99% confidence interval for the proportion of all cars produced that day with minor paint flaws, use the following steps:

Calculate the sample proportion, p, which is equal to the number of cars with minor paint flaws divided by the total number of cars in the sample. In this case, p = 22 / 100 = 0.22.

Calculate the margin of error, E, which is equal to z × √(p × (1 - p)) / n, where z is the z-score for the desired confidence level, 99%, and n is the sample size. In this case, E = 2.575 × √(0.22 × (1 - 0.22)) / 100 = 0.076.

Add and subtract the margin of error to the sample proportion to get the confidence interval. In this case, the confidence interval is (0.144, 0.296).

Interpret the confidence interval as meaning that we are 99% confident that the true proportion of all cars produced that day with minor paint flaws is between 14.4% and 29.6%.

17. To estimate the proportion p of all registered voters in the city who plan to vote for Gustafson with 90% confidence and a margin of error no greater than 0.15, use the following formula to calculate the sample size:

n = z² × p(1 - p) / E²

where z = z-score for the desired confidence level, 90%, p = proportion of voters who plan to vote for Gustafson, and E = margin of error.

In this case, n = 1.645² × 0.5 × (1 - 0.5) / 0.15² = 384.

Therefore, a random sample of 384 registered voters is needed to estimate the proportion of all registered voters in the city who plan to vote for Gustafson with 90% confidence and a margin of error no greater than 0.15.

18a. The null hypothesis is a statement about the population parameter that is being tested. The alternative hypothesis is a statement about the population parameter that is being tested that is the opposite of the null hypothesis.

18b. An example of a null and alternative hypothesis:

Null hypothesis: The average weight of all adults in the United States is 170 pounds.

Alternative hypothesis: The average weight of all adults in the United States is not 170 pounds.

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The set of all bounded real functions does not form a vector space with the usual function addition and scalar multiplication.

To determine if a set of objects forms a vector space, we need to check if it satisfies the vector space axioms. These axioms include properties such as closure under addition and scalar multiplication, existence of additive identity and inverses, and distributive properties.

In the case of the set of all bounded real functions, it does not satisfy the closure property under scalar multiplication. To demonstrate this, consider a bounded real function f(x) that is bounded by M, and let c be a scalar.

When we multiply the function f(x) by a scalar c, the resulting function cf(x) may not remain bounded. If c is non-zero and large enough, cf(x) can exceed any bound M, violating the condition of boundedness.

For example, consider the bounded function f(x) = 1, which is bounded by M = 1. If we multiply this function by a scalar c = 2, the resulting function cf(x) = 2 is unbounded and violates the condition of boundedness.

Since the set of all bounded real functions fails to satisfy the closure property under scalar multiplication, it does not form a vector space with the usual function addition and scalar multiplication.

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Answer: Understand the context.

Make a plan.

Identify the “who” and “why”

Weigh the pros and cons.

Get a second opinion.

Limit your choices.

Set deadlines.

Evaluate the outcome.

Step-by-step explanation:

The equation will be (2w ,+ 3) + (w + 2) + (3w + 4) = 600

The ratio in lowest term will be 2:1:3

When they donate $50, the ratio will be 1:4.

a. The equation based on the information will be:

(2w + 3) + (w + 2) + (3w + 4) = 600

6w + 9 = 600

6w = 600 - 9

6w = 591

Divide

w = 591/6

w = 98.5

b. Therefore, (2w + 3) = 2×98.5 + 3 = 200

(w + 2) = 98.5 + 2 = 100.5

(3w + 4) = 3(98.5) + 4 = 299.5

The ratio in lowest term will be 2:1:3.

c. When they donate $50, the ratio will be:

= (50 × 3)/600

= 150/600

= 1:4

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Answer:im confused

im still confused

This is not a question do not post random things

Answer: Assuming the conditions for inference are met, we can use the difference in proportions of red beads in the two samples to estimate the difference in proportions of red beads in the population. The 95% confidence interval for the difference in proportions of red beads in the two containers is calculated as follows:

Difference in sample proportions = p1 - p2 = (13/50) - (16/50) = -0.03

Standard error of the difference in sample proportions = sqrt{(p1*(1-p1)/n1) + (p2*(1-p2)/n2)} = sqrt{(13/50)(37/50)/50 + (16/50)(34/50)/50} = 0.079

Margin of error = z* * standard error of the difference in sample proportions = 1.96 * 0.079 = 0.155

95% Confidence interval for the difference in proportions of red beads in the two containers = (difference in sample proportions - margin of error, difference in sample proportions + margin of error) = (-0.03 - 0.155, -0.03 + 0.155) = (-0.185, 0.125)

So, we can be 95% confident that the difference in the proportion of red beads in the two containers is between -0.185 and 0.125.

Step-by-step explanation:

Sample: selected 50 adult residents by marketing research firm

In statistics  a data sample is a set of data collected and the world selected from a statistical population by a defined procedure and refers to a set of observations drawn from a population.  The elements of a sample are known as sample points or sampling units or observations. Often, it is necessary to use samples for research, because it is impractical to study the whole population.

To calculate the probability that all 50 residents in a particular neighborhood end up being the sample of residents selected, we need to consider the total population size and the number of residents in that neighborhood.

Let's assume there are N total adult residents in the suburb, and n residents in the particular neighborhood of interest. The probability of selecting all 50 residents from that neighborhood can be calculated using the hypergeometric distribution.

The probability can be calculated as follows:

P(all 50 residents from the neighborhood) = (nC50) / (NC50)

Where nC50 represents the number of ways to choose 50 residents from the neighborhood, and NC50 represents the number of ways to choose 50 residents from the entire population.

Here population:   resident of the city council in a suburb of Raleigh

Therefore, sample: selected 50 adult residents by marketing research firm.

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Answer:

9 and 15

Step-by-step explanation:

ans should be 9 and 15

i dun really understand what this qns wants u to find really bad qns to test

0.529 is the probability that a student does not have a college degree.

From the information given, we know that:

The formula for conditional probability:

P(A|B) = P(A and B) / P(B)

Let A be the event of not having a college degree, and B be the event of being married. We want to find P(A).

Using these values, we can calculate:

P(college degree and B) = (1/2) * (400/850) = 0.235

P(A and B) = 310/850 - 0.235 = 0.07

Finally, we can calculate P(A) using the formula for total probability:

P(A) = 1 - P(college degree)

= 1 - (400/850)

= 0.529

Therefore, the probability that a student does not have a college degree is 0.529.

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Answer:

2

Step-by-step explanation:

Slope equation: (y2-y1)/(x2-x1)

y2 = 4, y1 = -2, x2= 5, x1 = 2

4 – -2 = 6

5 - 2=3

6/3 = 2

In the equation y = $7.20x + $790, "y" represents the total cost. An equation is a mathematical statement that shows the relationship between two or more variables. In this equation, there are two variables - "x" and "y". The variable "x" represents the number of units produced or sold, while "y" represents the total cost.

The coefficient of "x" in the equation, which is 7.20, represents the variable cost per unit. This means that for each unit produced or sold, there is an additional cost of $7.20. The constant term, which is $790, represents the total fixed costs. Fixed costs are those costs that do not vary with the number of units produced or sold.To find the total cost of producing or selling a certain number of units, we can plug in the value of "x" into the equation and solve for "y". For example, if we want to find the total cost of producing 100 units, we can substitute x=100 into the equation:
y = $7.20(100) + $790
y = $720 + $790
y = $1510
Therefore, the total cost of producing 100 units is $1510. In summary, "y" represents the total cost in the given equation, which is determined by both fixed and variable costs.
In the equation y = $7.20x + $790, "y" represents option C: total costs. This equation has two components: "$7.20x" represents the variable costs per unit, where x is the number of units, and "$790" represents the total fixed costs. By adding these two components together, you get the total costs (y) for producing x units.

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The Bar graph, Line graph and Report displays the counter in decimal format.

Selecting a counter displays information about that counter's collected data as a chart type. The bar graph, line graph and report displays the current value of each performance counter in decimal format.

Line graph: - Line graph, also known as a line chart or line plot, is commonly drawn to show how something changes over a period of time. scientists and engineers use these graphs to understand and derive meaning from large chunks of data.

Bar graph: - This are the pictorial representation of data, in the form of vertical or horizontal rectangular bars, where the  length of bars are proportional to the measure of data. They are mostly used in business and finance, but they can also be found in other contexts. This can be used to show the distribution of different heights of students in a class.

Report: -  A report is a document that presents information in an organized format for a specific audience and purpose. All the skills and the knowledge of the professionals are communicated through reports. Reports help the top line in decision making. A rule and balanced report also helps in problem solving.

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We conclude that the mean commute time in the U.S. is less than half an hour.

We are given that a random sample of 500 people from the 2000 U.S. Census is selected who reported a non-zero commute time.

In this sample the mean commute time is 27.6 minutes with a standard deviation of 19.6 minutes.

Let  = mean commute time in the U.S..

So, Null Hypothesis, :  \(H_0:\) μ ≥  30 minutes    {means that the mean commute time in the U.S. is more than or equal to half an hour}

Alternate Hypothesis,  :   \(H_A\): μ  < 30 minutes     {means that the mean commute time in the U.S. is less than half an hour}

The test statistics that would be used here One-sample t-test statistics as we don't know about population standard deviation;

                          T.S. =  (X -μ)/\({\frac{s}{\sqrt{n} } }\)   ~ \(t_n_-_1\)

where,  X = sample mean commute time = 27.6 minutes

           s = sample standard deviation = 19.6 minutes

           n = sample of people from the 2000 U.S. Census = 500

So, the test statistics  =   (27.6 - 30)/\(\frac{19.6}{\sqrt{500} }\) ~ \(t_4_9_9\)

                                      =  -2.738

The value of t test statistic is -2.738.

Also, P-value of test statistics is given by the following formula;

          P-value = P( \(t_4_9_9\)   < -1.645)

Since, we know that at large sample size, the t distribution follows like normal distribution, that means;

             P( \(t_4_9_9\)  < -1.645)  =  P(Z < -1.645) = 1 - P(Z ≤ 1.645)

                                        =  1 - 0.95002 = 0.04998

Now, at 5% significance level the t table gives critical values of -1.645 at 499 degree of freedom for left-tailed test.

Since our test statistic is less than the critical value of t as -2.378 < -1.645, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which we reject our null hypothesis.

Therefore, we conclude that the mean commute time in the U.S. is less than half an hour.

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Answer:

y^2-y^1/x^2-x^1

Step-by-step explanation:

If function \(f(x) = 7x - 8\)  and  \(g(x) =4\) then the answer is \((fog)(-1) = -36.\)

In mathematics, a function is a relation between two sets of values, where each input value from the first set (called the domain) corresponds to exactly one output value in the second set (called the range). The output value of a function is determined by its input value and any relevant rules or formulas.

Formally, a function can be defined as follows: Let X and Y be two non-empty sets. A function f from X to Y is a rule or formula that assigns to each element x in X a unique element y in Y, denoted by f(x), such that for any two elements x1 and x2 in X, if x1 = x2, then f(x1) = f(x2). The set X is called the domain of the function, and the set Y is called the codomain or range of the function.

Functions can be represented graphically, algebraically, or in tabular form. The graph of a function shows how the output value of the function varies with the input value, and can be used to visualize the behaviour of the function. The algebraic representation of a function can be given by a formula or equation that expresses the output value in terms of the input value. A tabular representation of a function shows the input-output pairs in a table.

Functions are used in many areas of mathematics, science, engineering, and economics to model and describe relationships between variables. They are also used in practical applications, such as in computer programming, where they are used to define algorithms and data structures.

We need to find (fog)(-1) = f(g(-1)).

First, we find g(-1):

g(-1) = 4(-1) = -4

Then, we plug in g(-1) into f:

f(g(-1)) = f(-4) = 7(-4) - 8 = -36

Therefore, (fog)(-1) = -36.

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Answer:

The first one: A=-15

Second one: B= -0.5

Third one: C= 0.01

Step-by-step explanation:

Answer:

The answer to your problem is, A. The Allstars, with a mean of about 67.1 inches

Step-by-step explanation:

Allstars mean height:

= (73 + 62 + 60 + 63 + 72 + 65 + 69 + 68 + 71 + 66 + 70 + 67 + 60 + 70 + 71) / 15

= 1007 / 15

= 67.6 inches

Super Stars mean height:

= (66 + 68 + 62 + 63 + 47 + 64 + 65 + 50 + 60 + 64 + 65 + 65 + 58 + 60 + 55) / 15

= 912 / 15

= 60.2 inches

We can see that the Allstars team has a higher mean height than the Super Stars team, with an average of 67.6 inches compared to 60.2 inches. Therefore, the Allstars team typically has the tallest players

Thus the answer to your problem is, A. The Allstars, with a mean of about 67.1 inches