Fd meaning in microsift

Answer:

The solution of the equation is f(x)=-2x+3. Go into desmos graphing calculator and there is your answer.

Step-by-step explanation:

Hope this helps!

The graphical representation of f(x) = - 2(x + 4) + 5 is plotted. The slope of the line is -2 and y - intercept is -3.

The general equation of a straight line is -

y = mx + c

where -

m is the slope of line

c is the y - intercept

Given is a function → f(x) = - 2(x + 4) + 5

In order to plot the graph of this function, we will simplify the expression.

f(x) = - 2(x + 4) + 5

f(x) = -2x - 8 + 5

f(x) = -2x - 3

f(x) = (-2)x + (-3)

Now, we can plot this function on graph. Its slope will be -2 and y - intercept will be -3. Refer to the graph attached.

Therefore, the graphical representation of f(x) = - 2(x + 4) + 5 is plotted. The slope of the line is -2 and y - intercept is -3.

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a. Regex for all binary strings of 4-or-more θ: θ{4,}

b. Regex for all binary strings of odd length containing alternating θ and 1's: (θ1){1,}

c. Regex for all binary strings representing numbers greater than 5 when interpreted as binary numbers: (1[01]{2,}|[01]{3,})

d. Regex for all binary strings representing numbers evenly divisible by 4 when interpreted as binary numbers: (0|(1[01]{2})*0)

e. Regex for all binary strings of length less than or equal to 5 containing an equal number of θ's and 1's: (θ1|1θ|θ){0,5}

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Answer:

y = my + b

Step-by-step explanation:

According to my calculations. the equation best representing Z is the one above

Answer:

Isn't it simpler just to take the square root of 1,521?

It's 39

Step-by-step explanation:

Answer:

$2.50 for hotdog and $2 for soda

By using the concept of testing of hypothesis, it can be calculated that

The required test statistic is t = 0.918

What is testing of hypothesis?

Suppose, there is a hypothesis and there is a data at hand. Testing of hypothesis is a method of inferencing which is used to decide whether the given hypothesis is true or not based on the statistical data given

From the table attached here, it can be calculated that

\(\bar{x}_{2012}=365.4667\\s^{2}_{2012}=27133.66364\\\bar{x}_{2013}=331.775\\s^{2}_{2013}=29750.53782\\n_{2012}=45\\n_{2013}=40\\\)

So the test statistic t is

\(\large t=\frac{\bar{x}_{2012}-\bar{x}_{2013}}{\sqrt{\frac{s^{2}_{2012}}{n_{2012}}+\frac{s^{2}_{2013}}{n_{2013}}}}\)

\(t=\frac{365.4667-331.775}{\sqrt{\frac{27133.66364}{45}+\frac{29750.53782}{40}}}\)

\(t \large =\frac{33.6917}{36.6978711}\)

t = 0.918

The value of the test statistic is 0.918

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Answer:

30

Step-by-step explanation:

red : blue = 5:3

since difference between 5&3 is automatically 2....then just add 0 to 3

Answer:

Step-by-step explanation:

\(\frac{6}{7}x - 8 - \frac{4}{7}x - 8 = \frac{6}{7}x -\frac{4}{7}x - 8 - 8\\\\=\frac{6-4}{7}x - 16\\\\=\frac{2}{7}x - 16\\\)

Null hypothesis is that the proportion of Americans who own a cellular phone is less than or equal to 0.82 (H0: p ≤ 0.82), and the alternative hypothesis is that the proportion of Americans who own a cellular phone is greater than 0.82 (Ha: p > 0.82).b. We know that the sample size is 1036 and the sample proportion is 881/1036 = 0.85. Therefore, the conditions to perform a z-test are met:np = 1036 × 0.82 ≈ 848.5 and n(1 - p) = 1036 × 0.18 ≈ 186.5Both are greater than 10. So, we can proceed with the z-test.

The null and alternative hypotheses. H0: p ≤ 0.82 Ha: p > 0.82.The conditions are met to perform a z-test, we can use the following criteria:np≥10 and n(1−p)≥10where n is the sample size and p is the hypothesized proportion of successes in the population.Assuming a significance level of 0.05, we are testing the claim that the percentage of Americans who own a cellular phone is equal to 82% or higher. Therefore, our null hypothesis is that the proportion of Americans who own a cellular phone is less than or equal to 0.82 (H0: p ≤ 0.82), and the alternative hypothesis is that the proportion of Americans who own a cellular phone is greater than 0.82 (Ha: p > 0.82).b. We know that the sample size is 1036 and the sample proportion is 881/1036 = 0.85. Therefore, the conditions to perform a z-test are met:np = 1036 × 0.82 ≈ 848.5 and n(1 - p) = 1036 × 0.18 ≈ 186.5Both are greater than 10. So, we can proceed with the z-test.

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Answer:

34 pounds

Step-by-step explanation:

hi again!

so if three students have 10.2 to wash, we can find how many pounds the 3 students have in total by multiplying 10.2*3, because that is the same as doing 10.2+10.2+10.2. this gives us a result of 30.6 points for the three students.

now if the fourth student has 3.4 pounds, we just add that to 30.6

thus we have 30.6+3.4 which equals your answer, 34.

The volume of the largest rectangular box in the first octant with three faces in the coordinate planes and one vertex in the plane x + 2y + 3z = 3 is 9/2 cubic units.

Volume of Rectangular box:

The volume (in cubic units) of the largest rectangular box in the first octant with three faces in the coordinate planes and one vertex in the plane x + 2y + 3z = 3 can be found out by:

1: Identify the coordinates of the vertex on the plane x + 2y + 3z = 3. Since it is in the first octant, x, y, and z are all non-negative values.

2: Since the box has faced in the coordinate planes, the vertex on the plane will have coordinates (x, 0, 0), (0, y, 0), and (0, 0, z). Plug these into the plane equation and solve for x, y, and z:

For (x, 0, 0): x = 3
For (0, y, 0): 2y = 3, y = 3/2
For (0, 0, z): 3z = 3, z = 1

3: Calculate the volume of the rectangular box with these dimensions: V = x × y × z
V = (3) × (3/2) × (1) = 9/2 cubic units

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The maintenance cost expected to be incurred during July is $9,400. This corresponds to option C in the given choices.

To determine the maintenance cost expected to be incurred during July, we need to substitute the planned machine time of 9,000 hours into the cost formula Y = $5,800 + $0.40X.

Plugging in X = 9,000 into the formula, we get:

Y = $5,800 + $0.40(9,000)

Y = $5,800 + $3,600

Y = $9,400

Therefore, the maintenance cost expected to be incurred during July is $9,400. This corresponds to option C in the given choices.

The cost formula Y = $5,800 + $0.40X represents the fixed cost component of $5,800 plus the variable cost component of $0.40 per machine-hour. By multiplying the planned machine time (X) by the variable cost rate, we can determine the additional cost incurred based on the number of machine-hours. Adding the fixed cost component gives us the total maintenance cost expected for a given level of machine-time. In this case, with 9,000 hours of planned machine time, the expected maintenance cost is $9,400.

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The number of individuals who took the quiz is D) 21.

To determine the total number of individuals who took the quiz (N), we need to sum up the frequencies (f) in the given frequency distribution. The frequency (f) represents the number of individuals who obtained each score.

Let's add up the frequencies:

6 + 5 + 5 + 3 + 2 = 21

The total frequency is 21, which means that 21 individuals took the quiz. Each score represents a certain number of individuals who obtained that score, and by adding up all the frequencies, we get the total number of individuals.

Therefore, the correct answer is D. 21.

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(A) Total number of points served by Samson and multiply by 100  (B) Null hypothesis(H0) and Alternative hypothesis (Ha) (C)  there would be a 24% chance of observing a difference in performance as extreme as the one observed in the data.

(D) Based on the p-value of 0.24, we do not have strong evidence to reject the null hypothesis. (E) it would be a Type II error. (F) Type II error would mean that we concluded there is no difference in Samson's performance when serving and when his opponent is serving, but in reality, there is a difference. (G) To reduce the likelihood of a Type II error occurring, we can increase the sample size (H)  No, we cannot conclude that Samson's serving is the cause of the difference in his ability to win points when serving compared to when his opponent is serving

a) The difference in the percentage of points won when serving and when the opponent is serving can be calculated by subtracting the percentage of points won when the opponent is serving from the percentage of points won when serving.  To find the percentage of points won when serving, we divide the number of points won when serving by the total number of points served by Samson and multiply by 100. Similarly, to find the percentage of points won when the opponent is serving, we divide the number of points won when the opponent is serving by the total number of points served by the opponent and multiply by 100.

b) The hypotheses we are interested in testing are:
- Null hypothesis (H0): There is no difference in Samson's performance when serving and when his opponent is serving.
- Alternative hypothesis (Ha): Samson performs better when serving compared to when his opponent is serving.

c) A p-value of 0.24 indicates that if the null hypothesis were true, there would be a 24% chance of observing a difference in performance as extreme as the one observed in the data. In other words, the p-value represents the probability of obtaining the observed difference in performance or a more extreme difference, assuming that there is no actual difference in Samson's performance when serving.

d) Based on the p-value of 0.24, we do not have strong evidence to reject the null hypothesis. This means that the data does not provide convincing evidence that Samson plays better when serving compared to when his opponent is serving.

e) If our conclusion from part d was in error, it would be a Type II error. This occurs when we fail to reject the null hypothesis even though it is false. In this case, it would mean that there is a difference in Samson's performance when serving, but we failed to detect it.

f) In the context of this question, a Type II error would mean that we concluded there is no difference in Samson's performance when serving and when his opponent is serving, but in reality, there is a difference. This could potentially lead to underestimating Samson's ability to perform better when serving.

g) To reduce the likelihood of a Type II error occurring, we can increase the sample size. By collecting more data, we can increase the power of our test and improve our ability to detect a difference in performance if it truly exists. Additionally, we can also adjust the significance level of our test (e.g., from 0.05 to 0.01) to make it more likely to detect smaller differences.

h) No, we cannot conclude that Samson's serving is the cause of the difference in his ability to win points when serving compared to when his opponent is serving. The data provided only shows an association between serving and winning points, but it does not establish a causal relationship. Other factors, such as skill, strategy, or the opponent's performance, could also contribute to the difference observed. To establish causality, further investigation and controlled experiments would be needed.

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Answer:

8 inches from beginning to end

Step-by-step explanation:

8 inches because 1 times 8 is 8

1.88 × 10² greater than 2.35 × 10⁻¹ by 800 times which is found by using division.

The two numbers given are:

1.88 times 10²

= 1.88 × 10²

And

2.35 times 10⁻¹

= 2.35 × 10⁻¹

We need to find that how much time is 1.88 × 10² greater than 2.35 × 10⁻¹.

We will use division for the same.

So, we get that:

= 1.88 × 10² / 2.35 × 10⁻¹

Using the rules of exponents and simplify the expression, we get that:

= 0.8 × 10 ²⁺¹

= 0.8 × 10³

= 0.8 × 1000

= 800

Therefore, we get that, 1.88 × 10² greater than 2.35 × 10⁻¹ by 800 times which is found by using division.

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A linear system with 3 equations and 4 variables by representing it with an augmented matrix and bringing the matrix to reduced row-echelon form can be solved.

A mathematical representation of a system based on the application of a linear operator is known as a "linear system" in systems theory. Ordinarily, compared to nonlinear systems, linear systems display much simpler features and properties. The automatic control theory, signal processing, and telecommunications all heavily rely on linear systems as a mathematical abstraction or idealisation.

Linear systems, for instance, are frequently used to model the propagation medium for wireless communication systems. An operator, H, that converts an input, x(t), into an output, y(t), a kind of black box description, can be used to describe a general deterministic system.

The superposition principle, or alternatively both the additivity and homogeneity properties, must be satisfied by a system to be considered linear, and only then.

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The portfolio beta is a measure of the systematic risk of a portfolio relative to the overall market. In this case, if you invest 35% in Stock A with a beta of 0.92, 35% in Stock B with a beta of 1.21, and 30% in Stock C with a beta of 1.35.

To calculate the portfolio beta, we multiply each stock's beta by its corresponding weight in the portfolio, and then sum up these values. In this case, the portfolio beta can be calculated as follows:

Portfolio Beta = (0.35 * 0.92) + (0.35 * 1.21) + (0.30 * 1.35) = 0.322 + 0.4235 + 0.405 = 1.15

Therefore, the portfolio beta is 1.15. This means that the portfolio is expected to have a systematic risk that is 1.15 times the systematic risk of the overall market. A beta of 1 indicates that the portfolio's returns are expected to move in line with the market, while a beta greater than 1 suggests higher volatility and a higher sensitivity to market movements.

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Answer:

88

Step-by-step explanation:

Given

x = 4y² - 12 ← substitute y = 5

x = 4(5)² - 12 = 4(25) - 12 = 100 - 12 = 88

If the debt is normally distributed with a population standard deviation of $1100 and 15% of college seniors owe less than the amount of money is equals to the $2121.96.

The area under the standard normal curve represents to probability. The total area under the curve is equals to one. A Standard Normal Cumulative Probability, is a table which provides the cumulative probability of the left tail, as in the values less than the z-score in question. Here,

population mean, μ = $3262

standard deviation, σ = 1100

P- value = 15%

Using the normal distribution table, Z-score value is equals to - 1.0364. Now, we can use Z-scores formula is written \(Z = \frac{X - \mu}{\sigma }\)

Substitutes the known values in above formula, - 1.0364 = (X - 3262 )/1100

=> X - 3262 = 1100× ( - 1.0364)

=> X = 3262 - 1140.04

=> X = 2121.96

Hence, required value is $ 2121.96.

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Answer:

I believe the answer is 13 months.

Step-by-step explanation:

First you make an equation.

* 145 + 2x = 210 - 3x

* After you solve it!

> 145 = 210 - 5x

> -65 = - 5x

> -65/-5 = x

> 13 = x

It's going take 13 months for both to be on the same weight.

I hope you get this right.

Answer:

6

Step-by-step explanation:

diameter is double the length of the radius.

d= 2r

d=2(3)

d=6

Answer:

The answer for it is B. 6.

Step-by-step explanation:

Vamsi is X years old

Vamsi = X

his brother is 3 years elder to him

Brother = X + 3

his uncle is 4 times his age

Uncle = 4X

his aunt is 5 years younger than his uncle

Aunt = Uncle - 5

what will be the age of his uncle 6 years from now

= 4X + 6

what are the ages of vamis brother, uncle and aunt?

Assume Vamis = 15 years

Brother = X + 3 = 15 +  3 = 18

Uncle = 4X = 4 * 15 = 60

Aunt = Uncle - 5 = 60 - 5 = 55

what will be the age of his uncle 6 years from now

Uncle = 4X + 6 = 60 + 6 = 66

Answer:

$50,328

Step-by-step explanation:

In order to find the amount after 18 years you find 2.4 percent of 27,000 which you then multiply by 2 (semiannually) and then multiply that number by 18. Once you get that you add it to the original 27,000.

Answer:

Step-by-step explanation:

Sorry I can't explain how it is done. It is very difficult to explain on paper.