The compression technique encodes the digital value of an analog sample, based on the change from the previous sample is c. Differential PCM using delta encoding
By accounting for the difference or change between successive samples, Differential Pulse Code Modulation (DPCM) is a compression method used to encode digital values of analogue samples. In DPCM, the delta, or difference between the current and previous samples, is quantized and encoded, which results in a less amount of data than if the samples' absolute values were simply recorded.
It is a method that takes use of the correlation or resemblance between successive samples in a variety of analogue signals. But it might experience error propagation, where mistakes in the decoded delta values can build up over time and result in a deterioration in signal quality.
Complete Question:
Which compression technique encodes the digital value of an analog sample, based on the change from the previous sample?
a. LZ78 compression
b. Shannon-Fano encoding
c. Differential PCM using delta encoding
d. Huffman coding
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Let u,v and w be vectors in R^5 such that {u+v, u+w,v + w) is linearly independent. Does it necessarily follow that {u, v, w} is also linearly independent? (Hint: Put x=u+v,y= u +w, z = v+w. Then by hypotheses, {z, y, z) is linearly independent. Observe that x-zyy=2u and so forth and make use of part (1).)
Let x=u+v, y=u+w, and z=v+w. Then by hypothesis, {z, y, z} is linearly independent.
Now, observe that x-2y+z = (u+v) - 2(u+w) + (v+w) = -u -w, and similarly, x+z-2y = -v-w and y-2z+x = -u-v.
Thus, we have expressed u, v, and w as linear combinations of x, y, and z. Specifically, we have:
u = (x-2y+z)/(-1)
v = (x+z-2y)/(-1)
w = (y-2z+x)/(-1)
Using this, we can rewrite any linear combination of u, v, and w as a linear combination of x, y, and z.
Suppose {u, v, w} is not linearly independent. Then there exist constants a,b,c, not all zero, such that au+bv+cw=0. But using the expressions above, we can rewrite this as:
a(x-2y+z) + b(x+z-2y) + c(y-2z+x) = (a+b+c)x + (-2a-2b+c)y + (a-2b-2c)z = 0
Since {z, y, z} is linearly independent, this implies that a+b+c = -2a-2b+c = a-2b-2c = 0. Solving this system of equations, we get a=b=c=0, which contradicts our assumption that not all the constants are zero.
Therefore, we conclude that if {u+v, u+w, v+w} is linearly independent, then {u, v, w} must also be linearly independent.
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In an auditorium but there are 18 seats in the first row and 25 seats in the second row. The number of seats in a row, n, continues to increase by 7 with each additional row.
Write an iterative rule, a_n, to model the sequence formed by the number of seats in each row.
Enter your answer in the box.
a_n=
Use the rule to determine which row has 102 seats
Enter your answer in the box to correctly complete the sentence.
Row (blank) has 102 seats.
An iterative rule, aₙ to model the sequence formed by the number of seats in each row is: aₙ = 7n + 11
The row that has 102 seats is: 13th row
How to find the arithmetic sequence?The general formula to find the nth term of an arithmetic sequence is:
aₙ = a + (n - 1)d
where:
a is first term
d is common difference
n is position of term
We are given:
First row = 18 seats
Second row = 25 seats
Common difference = 7
Thus:
aₙ = 18 + (n - 1)7
aₙ = 18 + 7n - 7
aₙ = 7n + 11
The row that has 102 seats is:
102 = 7n + 11
7n = 102 - 11
7n = 91
n = 91/7
n = 13
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>T.5 Find a missing coordinate using slope 5C7
10
A line with a slope of passes through the points (j, 5) and (-10,-5). What is the value of j?
The value of j is equal to -9.
How to calculate or determine the slope of a line?In Mathematics and Geometry, the slope of any straight line can be determined by using the following mathematical equation;
Slope (m) = (Change in y-axis, Δy)/(Change in x-axis, Δx)
Slope (m) = rise/run
Slope (m) = (y₂ - y₁)/(x₂ - x₁)
By substituting the given data points into the formula for the slope of a line, we have the following;
10 = (-5 - 5)/(-10 - j)
10(-10 - j) = -10
(-10 - j) = -1
j = -10 + 1
j = -9
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Complete Question:
A line with a slope of 10 passes through the points (j, 5) and (-10,-5). What is the value of j?
When a particle is located a distance x meters from the origin, a force of cos((pi)x/9) newtons acts on it.Find the work done in moving the particle from x=4 to x=4.5:from x = 4.5 to x = 5:from x = 4 to x = 5:
The work done in moving the particle from x=4 to x=4.5 is approximately 0.0828 joules, from x=4.5 to x=5 is approximately -0.0617 joules, and from x=4 to x=5 is approximately 0.0211 joules.
To calculate the work done, we can use the formula W = ∫F(x)dx, where F(x) is the force acting on the particle at a distance x from the origin. In this case, F(x) = cos((pi)x/9).
To find the work done in moving the particle from x=4 to x=4.5, we can integrate the force over the range of x=4 to x=4.5:
W = ∫[cos((pi)x/9)]dx from x=4 to x=4.5
W = [(9/pi)sin((pi)x/9)] from x=4 to x=4.5
W = 0.0828 joules
Similarly, to find the work done in moving the particle from x=4.5 to x=5, we can integrate the force over the range of x=4.5 to x=5:
W = ∫[cos((pi)x/9)]dx from x=4.5 to x=5
W = [(9/pi)sin((pi)x/9)] from x=4.5 to x=5
W = -0.0617 joules
Finally, to find the work done in moving the particle from x=4 to x=5, we can integrate the force over the range of x=4 to x=5:
W = ∫[cos((pi)x/9)]dx from x=4 to x=5
W = [(9/pi)sin((pi)x/9)] from x=4 to x=5
W = 0.0211 joules
Note that these calculations are approximate due to the use of numerical integration methods. However, they provide a good estimate of the work done in each case.
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(4127 | Problem 5 * 10 points to Find the path y = y(x) for which the integral xSxri týz dx is stationary. х XI
The path y = y(x) that makes the integral stationary. To find the path y = y(x) for which the integral ∫x*sqrt(1 + (y'(x))^2) dx is stationary, we will use the following steps:
1. Identify the integrand: The integrand is the function inside the integral, which is F(x, y, y') = x*sqrt(1 + (y'(x))^2).
2. Apply the Euler-Lagrange equation: The Euler-Lagrange equation is used to find the stationary points of integrals, and it is given by the formula: dF/dy - d/dx(dF/dy') = 0.
3. Calculate the derivatives: First, find the partial derivatives of the integrand with respect to y and y':
- dF/dy = 0 (since F does not contain y explicitly)
- dF/dy' = x*(y'(x)/sqrt(1 + (y'(x))^2))
4. Apply the Euler-Lagrange equation: Now, substitute the derivatives into the Euler-Lagrange equation:
- d/dx(x*(y'(x)/sqrt(1 + (y'(x))^2))) = 0
5. Solve the differential equation: To find y(x), solve the differential equation obtained in step 4. In this case, the equation is somewhat challenging to solve analytically, so we might need to rely on numerical methods or seek a simpler form for the problem.
By following these steps, you can find the path y = y(x) for which the given integral is stationary. However, as noted earlier, solving the resulting differential equation might require advanced techniques or simplification.
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10-6x<70 inequalities
The solution to the inequality is x > -10.
We have,
To solve the inequality 10 - 6x < 70, we need to isolate the variable x on one side of the inequality.
First, we can simplify the left-hand side of the inequality by subtracting 10 from both sides:
10 - 6x < 70
-6x < 60
Next, we can isolate x by dividing both sides of the inequality by -6, remembering to reverse the direction of the inequality because we are dividing by a negative number:
x > -10
Thus,
The solution to the inequality is x > -10, which means that any value of x that is greater than -10 will make the inequality true.
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Linear regression was performed on a dataset and it was found that the best least square fit was
obtained by the line y = 2x + 3. The dataset on which regression was performed was corrupted in
storage and it is known that the points are (x, y): (-2,a), (0,1), (2, B). Can we recover unique values
of a, B so that the line y = 2x + 3 continues to be the best least square fit? Give a mathematical
justification for your answer.
Yes, we can recover unique values of a and B so that the line y = 2x + 3 continues to be the best least square fit.
Step 1: Use the given line equation y = 2x + 3 to find the values of a and B.
Step 2: Plug in the x-values for each point into the line equation.
For point (-2, a):
a = 2(-2) + 3
a = -4 + 3
a = -1
For points (2, B):
B = 2(2) + 3
B = 4 + 3
B = 7
Step 3: The recovered unique values are a = -1 and B = 7.
Therefore, the points are (-2, -1), (0, 1), and (2, 7), and the line y = 2x + 3 remains the best least square fit for the dataset.
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What is the absolute value of 34
To add or subtract vectors in component form, you simply add or subtract the corresponding components. For example, to add two vectors u and v, you can use the formula u v
To include two vectors u and v in component shape, you include the comparing components. The equation is: u + v = (u₁ + v₁, u₂ + v₂, u₃ + v₃)
where u = (u₁, u₂, u₃) and v = (v₁, v₂, v₃) are the component vectors of u and v, separately.
So also, to subtract two vectors u and v in the component frame, you subtract the comparing components. The equation is:
u - v = (u₁ - v₁, u₂ - v₂, u₃ - v₃)
where u = (u₁, u₂, u₃) and v = (v₁, v₂, v₃) are the component vectors of u and v, separately.
For illustration, on the off chance that u = (1, 2, -3) and v = (4, -2, 5), at that point u + v = (1 + 4, 2 - 2, -3 + 5) = (5, 0, 2) and u - v = (1 - 4, 2 + 2, -3 - 5) = (-3, 4, -8).
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Complete Question: To add or subtract vectors in component form, you simply add or subtract the corresponding components, For example to add two vectors u and v, you can use the formula u v. Describe the component vectors of u and v.
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The weights of boxes of cereal filled at a plant, X, have an expected value of 32 ounces and a standard deviation of 1.5 ounces. The weight of any box is considered to be independent of the weight of any other box. For shipping purposes, 25 boxes are packaged together. Determine the expected weight of a package of 25 boxes.
The expected weight of a package of 25 boxes is 800 ounces, with a standard deviation of 6.25 ounces.
To determine the expected weight of a package of 25 boxes, we need to use the properties of expected value and standard deviation.
First, we know that the expected value of one box is 32 ounces. Therefore, the expected value of 25 boxes packaged together is simply 25 multiplied by 32, which equals 800 ounces.
Next, we need to take into account the standard deviation of the weights. Since the weights of each box are considered to be independent of each other, we can use the formula for the standard deviation of the sum of independent random variables:
σ_total = sqrt(n * σ^2)
where σ_total is the standard deviation of the sum of n independent random variables with standard deviation σ.
In this case, n is 25 and σ is 1.5 ounces. Plugging these values into the formula, we get:
σ_total = sqrt(25 * 1.5^2) = 6.25 ounces
Therefore, the expected weight of a package of 25 boxes is 800 ounces, with a standard deviation of 6.25 ounces.
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In circle F with m ∠ � � � = 2 3 ∘ m∠EHG=23 ∘ , find the angle measure of minor arc � � ⌢. EG
If a circle has a radius of 2 meters and a central angle EOG that measures 125° then length of the intercepted arc EG is 4.4 m
The circumference of the circle is calculated through the equation,
C = 2πr
Substituting the known values,
C = 2π(2 m) = 4π m
The measure of the arc is the circumference times the ratio of the given central angle to the total revolution,
A = (4π m)(125°/360°)
The measure of the arc is 4.36 m or 4.4 m.
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A circle has a radius of 2 meters and a central angle EOG that measures 125°. What is the length of the intercepted arc EG? Use 3.14 for pi and round your answer to the nearest tenth.
A.0.7 m
B.1.4 m
C.2.2 m
D.4.4 m
Find the area of the triangle.
The area of the triangle is 13.5m²
What is area of triangle?A triangle is a closed, 2-dimensional shape with 3 sides, 3 angles, and 3 vertices. A triangle is also a polygon.
There are different types of triangle: we have isosceles triangle, equilateral triangle, Scalene triangle e.t.c
The area of a triangle is expressed as;
A = 1/2 bh
where b is the base and h is the height.
A = 1/2 × 9 × 3
A = 27/2
A = 13.5m²
therefore the area of the triangle is 13.5m²
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Consider a die with 6 faces with values 1.2.3.4.5.6. In principle the probabilities to draw the faces are all equal to so that after several draws on average the value is £ (1+2+3-4-5-6) = 3.5. Suppose now that the average value is found to be
The probabilities of drawing the faces are p1 = 1/32, p2 = 1/16, p3 = 3/32, p4 = 1/4, p5 = 5/32, and p6 = 3/32.
To determine the probabilities p1, p2, p3, p4, p5, and p6 in the absence of any other information on the die, we can use Shannon's statistical entropy.
The Shannon entropy formula is given by H = -∑(pi log2 pi), where pi is the probability of the ith outcome. We want to maximize the entropy subject to the constraint that the average value is 4.
Let's assume that the probabilities are not all equal to 1/6, and instead denote the probabilities as p1, p2, p3, p4, p5, and p6. We know that the average value is 4, so we can write:
4 = (1)p1 + (2)p2 + (3)p3 + (4)p4 + (5)p5 + (6)p6
We also know that the probabilities must sum to 1, so we can write:
1 = p1 + p2 + p3 + p4 + p5 + p6
To maximize the entropy, we need to solve for p1, p2, p3, p4, p5, and p6 in the equation H = -∑(pi log2 pi) subject to the above constraints. This can be done using Lagrange multipliers:
H' = -log2(p1) - log2(p2) - log2(p3) - log2(p4) - log2(p5) - log2(p6) + λ[4 - (1)p1 - (2)p2 - (3)p3 - (4)p4 - (5)p5 - (6)p6] + μ[1 - p1 - p2 - p3 - p4 - p5 - p6]
Taking the partial derivative with respect to each pi and setting them equal to 0, we get:
-1/log2(e) - λ = 0
-2/log2(e) - 2λ = 0
-3/log2(e) - 3λ = 0
-4/log2(e) - 4λ = 0
-5/log2(e) - 5λ = 0
-6/log2(e) - 6λ = 0
where λ and μ are Lagrange multipliers. Solving for λ, we get:
λ = -1/(log2(e))
Substituting this value of λ into the above equations, we get:
p1 = 1/32
p2 = 1/16
p3 = 3/32
p4 = 1/4
p5 = 5/32
p6 = 3/32
Therefore, the probabilities of drawing the faces are p1 = 1/32, p2 = 1/16, p3 = 3/32, p4 = 1/4, p5 = 5/32, and p6 = 3/32.
The complete question should be:
Consider a die with 6 faces with values 1.2.3.4.5.6. In principle, the probabilities to draw the faces are all equal so that after several draws on average the value is £ (1+2+3-4-5-6) = 3.5. Suppose now that the average value is found to be 4. In the absence of any other information on the dic, suggest a way to determine the probabilities pr.12.13.P4, P5:p? (hint: use Shannon statistical entropy)
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Common resources are not individually owned, which creates the incentive for their overuse and overconsumption. A) True B) False
Common resources are those that are available to everyone and not owned by any individual or group. Examples include air, water, fish in the ocean, and even public parks. Since no one owns them, there is no direct incentive for any individual to conserve or protect these resources.
In fact, the opposite is often true - individuals may feel that they have a right to use these resources as much as they want, leading to overuse and overconsumption. This is known as the tragedy of the commons, where individuals act in their own self-interest, leading to the depletion of a shared resource. To avoid this, it is important to have regulations and policies in place to encourage responsible use of common resources and prevent overuse and overconsumption.
The answer is A) True
Common resources refer to natural or man-made resources that are not individually owned but are available to everyone in a community. Since these resources are not owned by any specific person or organization, there is a lack of control and regulation over their use. This lack of ownership creates an incentive for people to overuse and overconsume these resources, as individuals may want to take advantage of the resources before others do.
This overuse and overconsumption can lead to depletion or degradation of the common resources, making them less available or useful for future generations. In order to prevent this outcome, it is essential to implement proper management and conservation strategies that help maintain the sustainability and accessibility of these shared resources for all users.
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A researcher designs a study where she goes to high schools throughout Oregon and measures the pulse rates of a group of female seniors, and then compares the averages of her sample at each school to the averages at other schools in Oregon.
a) What distribution would you expect the average pulse rates to follow?
From a previous study, it is known that the mean pulse rates of female high school seniors is 77.5 beats per minute (bpm), with a standard deviation of 11.6 bpm.
b) Find the percentiles P1 and P99 of the high school female pulse rates.
c) Estimate the mean and standard deviation of a sample of n = 36 female high school seniors.
d) Find the probability that a school's average female pulse rate is between 70 and 85, i.e. find the probability P(70 < x < 85) when the sample size is n = 25 female high school seniors. Shade in the area of interest on a normal probability curve.
P1 is 51.9 bpm and P99 is 103.1 bpm.
The probability that a school's average female pulse rate is between 70 and 85 bpm is approximately 1.
a) The distribution of the average pulse rates is expected to follow a normal distribution.
b) To find the percentiles P1 and P99, we can use the z-score formula:
z = (x - μ) / σ
where x is the pulse rate, μ is the population mean (77.5 bpm), and σ is the population standard deviation (11.6 bpm).
For P1, we want to find the pulse rate such that only 1% of the population has a lower pulse rate. Using a standard normal distribution table or calculator, we find that the z-score corresponding to the 1st percentile is -2.33. Thus,
-2.33 = (x - 77.5) / 11.6
Solving for x, we get:
x = 51.9 bpm
For P99, we want to find the pulse rate such that only 1% of the population has a higher pulse rate. Using the same method as above, we find that the z-score corresponding to the 99th percentile is 2.33. Thus,
2.33 = (x - 77.5) / 11.6
Solving for x, we get:
x = 103.1 bpm
Therefore, P1 is 51.9 bpm and P99 is 103.1 bpm.
c) The mean of a sample of n = 36 female high school seniors is estimated to be the same as the population mean of 77.5 bpm. The standard deviation of the sample is estimated to be:
s = σ / sqrt(n) = 11.6 / sqrt(36) = 1.933 bpm
d) To find the probability that a school's average female pulse rate is between 70 and 85 bpm when the sample size is n = 25, we first need to calculate the standard error of the mean:
SE = s / sqrt(n) = 1.933 / sqrt(25) = 0.387 bpm
Next, we find the z-scores for 70 and 85 bpm:
z1 = (70 - 77.5) / 0.387 = -19.34
z2 = (85 - 77.5) / 0.387 = 19.34
Using a standard normal distribution table or calculator, we find that the area to the left of z1 is essentially 0 and the area to the left of z2 is essentially 1. Therefore, the probability that a school's average female pulse rate is between 70 and 85 bpm is approximately 1.
Shading the area of interest on a normal probability curve would show the entire curve as it represents the entire population of high school female seniors, but the area of interest would be shaded in the middle of the curve.
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In a sample of 400 students, 180 said they work a part time job. Construct a 95% confidence interval for the true proportion of students who work a part-time job. What is the margin of error?
O. 052
O. 044
O. 034
O. 049
The 95% confidence interval for the true proportion of students who work a part-time job is approximately (0.4014, 0.4986), and the margin of error is approximately 0.0486. So, the closest answer among the options provided is 0.049.
To construct a 95% confidence interval for the true proportion of students who work a part-time job and find the margin of error, follow these steps:
1. Determine the sample proportion (p-hat):
Divide the number of students who work a part-time job (180) by the total number of students (400).
p-hat = [tex]\frac{180}{400}=0.45[/tex]
2. Determine the critical value (z) for a 95% confidence interval. Using a z-table, the critical value is approximately 1.96.
3. Calculate the standard error (SE) of the sample proportion:
SE =[tex]\frac{\sqrt{(p-hat)(1-p-hat)}}{n}[/tex] = [tex]\frac{\sqrt{(0.45)(1-0.45)}}{400}[/tex]≈ 0.0248
4. Calculate the margin of error (ME) by multiplying the critical value (z) by the standard error (SE):
ME = 1.96×0.0248 ≈ 0.0486
5. Construct the confidence interval by adding and subtracting the margin of error from the sample proportion:
Lower bound: 0.45 - 0.0486 ≈ 0.4014
Upper bound: 0.45 + 0.0486 ≈ 0.4986
So, the closest answer among the options provided is the fourth option 0.049.
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Can I get the answer soon please??!!!!!<3
The given statement translated to an inequality is 5 + 6w > 24
Writing an inequality from a statementFrom the question, we are to translate the given sentence into an inequality
From the given information,
The given statement is:
Five increased by the product of a number and 6 is greater than 24.
Also,
From the given information,
We are to use the variable w for the unknown number
Thus,
The inequality can be written as follows
"the product of a number and 6" can b written as w × 6
w × 6 = 6w
Then,
"Five increased by the product of a number and 6" is:
5 + 6w
Finally,
"Five increased by the product of a number and 6 is greater than 24" becomes
5 + 6w > 24
Hence,
The inequality is 5 + 6w > 24
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The scatter plot represents the average daytime temperatures recorded in New York for a week. What is the range of the temperature data in degrees Fahrenheit?
Answer:
The answer to your problem is, the range of the temperature data in degrees Fahrenheit is 15°F.
Step-by-step explanation:
In this scatter plot it represents the average daytime temperatures recorded in New York for a week.
highest temperature in a week from the scatter plot is 45°F.
lowest temperature in a week from the scatter plot is 30°F.
Range = 45°F - 30°F
= 15°F
Thus the answer to your problems is, the range of the temperature data in degrees Fahrenheit is 15°F.
From the sample statistics, find the value of -, the point estimate of the difference of proportions. Unless otherwise indicated, round to the nearest thousandth when necessary. n1 = 100 n2 = 100 = 0.12 = 0.1 A. 0.22 B. none of these C. 0.02 D. 0.012 E. 0.002
The value of - (the point estimate of the difference of proportions) is 0.02. Option C (0.02) is the correct answer.
To find the value of the point estimate of the difference of proportions, we need to subtract the sample proportion of one group from the sample proportion of the other group.
Let's denote the sample proportion of group 1 as p1 and the sample proportion of group 2 as p2. Then, the point estimate of the difference of proportions can be calculated as:
^p1 - ^p2
where ^p1 = 0.12 and ^p2 = 0.1 (as given in the question).
Substituting the values, we get:
^p1 - ^p2 = 0.12 - 0.1 = 0.02
It is important to note that this is just a point estimate based on the given sample statistics, and the true difference of proportions in the population may differ. We can calculate a margin of error and construct a confidence interval to estimate the range in which the true difference of proportions may lie.
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A student needs to decorate a box as part of a project for her history class. A model of the box is shown.
A rectangular prism with dimensions of 24 inches by 15 inches by 3 inches.
What is the surface area of the box?
234 in2
477 in2
720 in2
954 in2
Answer:
2(24(15) + 24(3) + 15(3)) = 2(360 + 72 + 45)
= 2(477) = 954
The surface area of this box is 954 square inches.
Answer:
B
Step-by-step explanation:
A rich school has 48 players on the football team. The summary of the players' weight is even in the box plot. What is the median weight of the players 173 2016 240 TO 249 - 150 160 170 180 190 200 220 220 230 240 250 260 270 00 Wecht on pound Answer all Tables Keypad Keyboard Shortcuts pounds
The median weight of the players is 225 pounds.
To find the median weight of the players, we need to find the weight value that separates the 24th and 25th ordered weights. We can do this by looking at the box plot and determining the boundaries of the box, which contains the middle 50% of the data.
From the box plot, we can see that the box extends from 170 pounds to 250 pounds, so these are the weights that make up the middle 50% of the data. The median weight will be the weight that is in the middle of this range.
To find the median weight, we can take the average of the two middle values in this range. The two middle values are 220 and 230 pounds. So the median weight is:
(220 + 230) / 2 = 225 pounds
Therefore, the median weight of the players is 225 pounds.
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Given the following contingency table with category labels A, B, C, X, Y, and Z, what is the expected count with 1 decimal place in the joint category of C and X? XY A 11 10 3 B 15 6 2 C 18 1 5 Your Answer:
The expected count in the joint category of C and X is 3.4.
To find the expected count in the joint category of C and X, we need to calculate the row and column totals for categories C and X.
The row total for category C is the sum of the counts in the third row: 18 + 1 + 5 = 24.
The column total for category X is the sum of the counts in the second column: 10 + 6 + 1 = 17.
To find the expected count in the joint category of C and X, we use the formula:
Expected count = (row total * column total) / grand total
where the grand total is the total count in the table, which is 11 + 10 + 3 + 15 + 6 + 2 + 18 + 1 + 5 = 71.
Plugging in the values, we get:
Expected count in category C and X = (24 * 10) / 71 = 3.4 (rounded to 1 decimal place)
Therefore, the expected count in the joint category of C and X is 3.4.
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What is the sum of 8 of the interior angles of a regular nonagon?
The sum of 8 of the interior angles of a regular nonagon is 1120 degrees.
A nonagon is a polygon with 9 sides and 9 interior angles. The sum of the interior angles of any polygon is given by using the method (n-2) × 180 degrees, wherein n is the number of sides.
Therefore, the sum of the interior angles of a nonagon is (9-2) × 180 = 1260 levels.
Because the nonagon is a regular polygon, every of its interior angles has the equal degree. To discover the measure of every attitude, we will divide the sum of the interior angles through the wide variety of angles.
Therefore, the degree of every interior perspective of a ordinary nonagon is 1260/9 = 140 ranges.
To discover the sum of 8 of the interior angles, we are able to simply multiply the measure of each attitude through eight, which gives:
8 × 140 = 1120 degrees
Thus, the sum of 8 of the interior angles of a regular nonagon is 1120 degrees.
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help pls anyone mark brainleist
Answer:
Step-by-step explanation:
9 - (-9) = 18
Don't be distracted by the Russian language, just look at the letters
Let f be a permutation on the set {1,2,3,4,5,6,7,8,9}, defined as follows f =1 2 3 4 5 6 7 8 9 4 1 3 6 2 9 7 5 8
(a) Write f as a product of transpositions (not necessarily disjoint), separated by commas (e.g. (1,2), (2,3), ... ). f = (b) Write f-l as a product of transpositions in the same way. f-1 = Assume multiplication of permutations f,g obeys the rule (fg)(x) = f(g(x)so (1,3)(1, 2) = (1,2,3) not (1,3,2).
P(Billy and not Bob) = (3 choose 1) * (18 choose 5) / (19 choose 5)
= 54/323
(a) We can write f as a product of transpositions as follows:
f = (1,4,6,9,8,5,2)(3,6,9)(2,1)(7,9,5,8)
Note that this is just one possible way of writing f as a product of transpositions, as there can be multiple valid decompositions.
(b) To find f-1, we need to reverse the order of the elements in each transposition and then reverse the order of the transpositions themselves:
f-1 = (2,1)(5,8,9,7)(1,2)(9,6,3)(2,5,8,9,6,4,1)
Again, note that there can be multiple valid ways of writing f-1 as a product of transpositions.
(c) To find the probability that either Bob or Billy is chosen among the 5 students, we can use the principle of inclusion-exclusion. The probability of Billy being chosen is 1/4, and the probability of Bob being chosen is also 1/4. However, if we simply add these probabilities together, we will be double-counting the case where both Billy and Bob are chosen. The probability of both Billy and Bob being chosen is (2/19) * (1/18) = 1/171, since there are 2 ways to choose both of them out of 19 remaining students, and then 1 way to choose the remaining 3 students out of the remaining 18. So the probability that either Billy or Bob is chosen is:
P(Billy or Bob) = P(Billy) + P(Bob) - P(Billy and Bob)
= 1/4 + 1/4 - 1/171
= 85/342
(d) To find the probability that Bob is not chosen and Billy is chosen, we can use the fact that there are (18 choose 5) ways to choose 5 students out of the remaining 18 after Bob has been excluded, and (3 choose 1) ways to choose the remaining student from the 3 that are not Billy. So the probability is:
P(Billy and not Bob) = (3 choose 1) * (18 choose 5) / (19 choose 5)
= 54/323
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Other than one what are the perfect square factors of 792
So the perfect square factors of 792 are 4, 9, 36, 144, 484, and 1089.
The prime factorization of 792 by dividing it by its smallest prime factor repeatedly:
792 ÷ 2 = 396
396 ÷ 2 = 198
198 ÷ 2 = 99
99 ÷ 3 = 33
33 ÷ 3 = 11
So the prime factorization of 792 is [tex]2^3 * 3^2 * 11.[/tex]
To find the perfect square factors, we can look for pairs of factors where both factors have even exponents.
The factors of 792 are: 1, 2, 3, 4, 6, 8, 11, 12, 18, 22, 24, 33, 36, 44, 66, 72, 88, 132, 198, 264, 396, and 792.
The perfect square factors of 792 are:
[tex]2^2 = 4\\2^2 * 3^2 = 36\\2^2 * 11^2 = 484\\3^2 = 93^2 * 4^2 = 144\\3^2 * 11^2 = 1089[/tex]
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Factor the following monomial completely: 9x²y²
(-3)(-3)(x)(x)(y) (y)
prime
(3)(3)(x)(y) (y)
(9)(x)(x)(y) (y)
Answer:
[tex]9 {x}^{2} {y}^{2} = 3•3•x•x•y•y
If figure F is rotated 180 degrees and dilated by a factor of 1/2, which new figure coukd be produced?
The figure gets shrunk to half and it will be in the third quadrant.
The process of increasing the size of an item or a figure without affecting its actual or original form is known as dilation. The size of the object can be lowered or raised depending on the scale factor of dilation provided.
As given in the question, the figure is rotated 180 degrees and dilated by a factor of 1/2. we have to describe the new figure.
Let us assume that the position of the figure is in the first quadrant. Then
after the rotation of 180 degrees of the figure, the figure will be in the third quadrant. If the figure is dilated with a scale factor of 1/2 then the figure gets shrunk to half of what it is as shown in the diagram provided.
The diagram is given below.
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In a study of cell phone usage and brain hemispheric dominance, an Inte survey was e-mailed to 6585 subjects andomly sidected from an online group involved with ears. These were 1344 aury. Use a 0.01 significance level to test the claim that the retum rate is less than 20%. Use the Palue method and use the normal distribution as an approximation to the binomial distribution
Identify the null hypothesis and alternative hypothes
OA. He p>02
OB. Hg: p-02
OC. H₂ p<02
OD. H₂ p=0.2
OF H: 02
The null hypothesis is H₀: p ≥ 0.2 (the return rate is greater than or equal to 20%). The alternative hypothesis is H₁: p < 0.2 (the return rate is less than 20%).
We will first identify the null hypothesis (H₀) and alternative hypothesis (H₁). The null hypothesis represents the assumption that there is no significant difference or effect. In this case, the return rate is assumed to be equal to 20%. The alternative hypothesis represents the claim we want to test, which is that the return rate is less than 20%. So, the null hypothesis and alternative hypothesis are: H₀: p = 0.2 H₁: p < 0.2 Based on the provided options,
The correct answer is: OB. H₀: p = 0.2 OC. H₁: p < 0.2
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1. [0. 6/2 Points] DETAILS PREVIOUS ANSWERS MY NOTES ASK YOUR TEACHER Problem 6-23 Consider a random experiment involving three boxes, each containing a mixture of red and green balls, with the following quantities: Box A Box B Box C 31 Red Balls 12 Red Balls 24 Red Balls 16 Green Balls 20 Green Balls 16 Green Balls The first ball will be selected at random from box A. If that ball is red, the second ball will be drawn from box B; otherwise, the second ball will be taken from box C. Let R1 and G1 represent the color of the first ball, R2 and G2 the color of the second. Determine the following probabilities. (Hint: The conditional probability identity will not work. ) (a) Pr[Ru]= 65957 (b) Pr[G]= 340425 (c) Pr[R2 | Ri]=. 247338 X (d) Pr[R2 | Gi]= (e) Pr[G2 | Gi]= (f) Pr[G2 | Rī]=
We have the probabilities of drawing balls from the boxes to be
a) P(R₁) = 0.65957, b) P(G₁) = 0.34042, c) P(R₂ | R₁) = 0.375 d) P(R₂ | G₁) = 0.6, e) P(G₂ | G₁) = 0.4, and f) P(G₂ | R₁) = 0.625
Here clearly
G₁ is the event of drawing a green ball from Box A
and R₁ is the event of drawing a red ball from box A
In box A there are 31 red balls annd 16 green balls. Hence 47 balls in total Therefore,
a)
P(R₁) = 31/47
= 0.65957
b)
P(G₁) = 16/47
= 0.34042
Now in Box B there are 12 red balls and 20 green balls that is 32 balls in total
In box C there are 24 red balls and 26 green balls, that is 40 balls in total.
c)
We need to find P(R₂ | R₁)
This means that we need to find the probability of drawing a red ball second time, if the first ball is red.
If the first ball is red, then the next ball is drawn from Box B
Hence P(R₂ | R₁) = 12/32 = 0.375
d)
Next we need to find P(R₂ | G₁) This means that we need to find the probability of second ball being red when first ball was drawn was green.
If the first ball drawn is green, then the second ball would be drawn from Box C
Hence we get P(R₂ | G₁) = 24/40
= 0.6
e)
Now we need to find P(G₂ | G₁) Clearly, this woule be
1 - P(R₂ | G₁)
= 0.4
f)
Next we have P(G₂ | R₁)
This clearly is 1 - P(R₂ | R₁) = 0.625
Hence we have the probabilities of drawing balls from the boxes to be P(R₁) = 0.65957, P(G₁) = 0.34042, P(R₂ | R₁) = 0.375 P(R₂ | G₁) = 0.6
P(G₂ | G₁) = 0.4 P(G₂ | R₁) = 0.625
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