A polygon has vertices at (-1,1), (1,1), (1,-1) & (-1,-1) what is the perimeter in units of the polygon

Answer:

a definitely, and maybe e, im not sure

Step-by-step explanation:

let me know if it was right

Answer:

V=385 cubic units

Step-by-step explanation:

The volume of a rectangular prism is given by the formula [tex]V=lwh[/tex], where l is the length, w is the width, and h is the height. Our dimensions are 5, 7, and 11. So, we have to multiply them to find the volume.

5 × 7 × 11 = 385

Thus, the volume of the rectangular prism is 385 cubic units.

(a) Mean = (9 + 15 + 18 + 11 + 12) / 5 = 65 / 5 = 13

(b) Mean of the sample = (9 + 15) / 2 = 24 / 2 = 12

(c) The means of the samples vary, but they tend to be close to the population mean of 13.

(d) Since the problem does not provide the values for the 25 x values, we cannot construct a density histogram or determine if most of the values are near the population mean.

(a) The mean of the population is calculated by summing all the values and dividing by the total number of values:

Mean = (9 + 15 + 18 + 11 + 12) / 5 = 65 / 5 = 13

(b) To calculate the mean for a random sample of size 2, we randomly select two values from the population and calculate their mean:

Random sample: 9, 15

Mean of the sample = (9 + 15) / 2 = 24 / 2 = 12

(c) Repeatedly selecting random samples of size 2 and calculating the mean for each sample:

Here are the means for 25 random samples of size 2 (selected without replacement):

Sample 1: 9, 18 -> Mean = (9 + 18) / 2 = 27 / 2 = 13.5

Sample 2: 11, 9 -> Mean = (11 + 9) / 2 = 20 / 2 = 10

Sample 3: 15, 12 -> Mean = (15 + 12) / 2 = 27 / 2 = 13.5

...

Sample 25: 12, 15 -> Mean = (12 + 15) / 2 = 27 / 2 = 13.5

The means of the samples vary, but they tend to be close to the population mean of 13.

(d) Constructing a density histogram using the 25 x values:

Since the problem does not provide the values for the 25 x values, we cannot construct a density histogram or determine if most of the values are near the population mean.

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Answer:

x = 66

Step-by-step explanation:

m<5 + m<6 = 180

2x + 48 = 180

2x = 132

x = 66

Answer:

Volume = 525 in³

Step-by-step explanation:

Volume = 25 x 7 x 6 x 0.5 = 525 in³

On the first day of the fiscal year, a company issued a $3,000,000, 11%, five-year bond that pays semiannual interest of $165,000 ($3,000,000 × 11% × ½), receiving cash of $2,889,599.The journal entries are as follows: July 1Cash Dr2895499Discount on Bonds Payable Dr 10501Bond Payable Cr 3,000,000To record issuance of bond July 31

Interest Expense Dr 165001 Discount on Bonds Payable Dr8751Cash Cr173250To record interest payment ($3,000,000 * 11% * 6/12) - $10501 = $165001 - $8751 = $173,250 December 31 Interest Expense Dr 181501 Discount on Bonds Payable Dr 8581Cash Cr 173250To record interest payment ($3,000,000 * 11% * 6/12) - $7670 = $181501 - $8581 = $173,250Amortization of discount for the first interest period is $10,501 ($173,250 - $165,000). The total discount of $10501 is amortized over the life of the bond, and it will be amortized over 10 interest periods ($10501/10) = $1,050 per period. The journal entry for the bond discount amortization would be:July 31Interest Expense Dr165001Discount on Bonds Payable Dr8751Bond Discount Amortization Dr1050Cash Cr173250The following journal entry for bond discount amortization is on December 31:Interest Expense Dr181501Discount on Bonds Payable Dr8581Bond Discount Amortization Dr1198Cash Cr173250This process will continue until the end of the bond life.

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The complete journal entry for the first interest payment and bond discount amortization would be:

Interest expense Dr. $165,000

Bond discount amortization Dr. $5,520

Cash Cr. $168,520 (rounded to the nearest dollar)

Firstly, let's determine the amount of bond discount.

Bond discount is the difference between the face value of a bond and the amount at which it is sold. Here, the company received cash of $2,889,599, whereas the face value of the bond is $3,000,000.

So, the bond discount is: Face value of bond - Cash received

= $3,000,000 - $2,889,599

= $110,401

Now, let's journalize the first interest payment and the amortization of the related bond discount. The bond has a semi-annual interest rate of 11%, so the first interest payment is: $3,000,000 × 11% × 1/2

= $165,000

The journal entries would be: Interest expense Dr. $165,000

Bond discount amortization Dr. $2,920 Cash Cr. $168,920 (rounded to the nearest dollar)

The bond discount amortization is calculated using the straight-line method. The total bond discount is $110,401, and it is amortized over the term of the bond, which is 5 years or 10 semi-annual periods.

So, the bond discount amortization per period is:

Total bond discount / Total number of periods= $110,401 / 10

= $11,040.10 (rounded to the nearest cent)

This amount is amortized each period, along with the interest payment. So, the bond discount amortization for the first period is: $11,040.10 / 2

= $5,520.05 (rounded to the nearest cent)

Therefore, the complete journal entry for the first interest payment and bond discount amortization would be:

Interest expense Dr. $165,000

Bond discount amortization Dr. $5,520 Cash Cr. $168,520 (rounded to the nearest dollar)

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The required  correct answer is a two-tailed test should be used based on the following data

Explanation:

To determine whether a one-tailed or two-tailed test should be used based on the following data:              

 H0: H = 17,500Ha: # 17,500V = 18,000s = 3000n = 10                                 We must first examine the alternative hypothesis (Ha) to determine whether it is directional (one-tailed) or non-directional (two-tailed).

A directional alternative hypothesis, or a one-tailed test, is a hypothesis that predicts the direction of the difference between the sample mean and the population mean. Ha: < 17,500 or Ha: > 17,500 are examples of a directional hypothesis.

A non-directional alternative hypothesis, or a two-tailed test, is a hypothesis that does not predict the direction of the difference between the sample mean and the population mean.

Ha: ≠ 17,500 is an example of a non-directional hypothesis.Since Ha: # 17,500 is not directional and does not predict the direction of the difference between the sample mean and the population mean, a two-tailed test is required.

Therefore, a two-tailed test should be used based on the following data.

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Answer:

Well you just have to follow the formula to find the distance between 2 linear plots.

d= √(x2−x1)^2+(y2−y1)^2

Step-by-step explanation:

If you follow it the answer would be

D=50

a. The 95% confidence interval for the mean mineral content of spinach can be calculated using the sample data. The formula for the confidence interval is:

Confidence interval = (sample mean) ± (critical value) * (standard deviation / sqrt(sample size))

Using the given data, the sample mean is 20.63 and the standard deviation is 0.676. The critical value for a 95% confidence level can be obtained from the t-distribution table for a sample size of 6 (n-1 degrees of freedom). Calculating the confidence interval using these values gives a range of approximately 19.97% to 21.29%.

b. Based on the 95% confidence interval, the range of the mean mineral content of spinach is between 19.97% and 21.29%. Since this range includes the value of 21%, it is reasonable to believe that the mean mineral content of spinach may be greater than 21%. However, we cannot be certain as the range also includes values below 21%. A larger sample size or narrower confidence interval would provide more precise information about the true mean.

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Answer: w+x=90

z=y+90

Step-by-step explanation: because the sum of the inner angles of triangle is 180. given that one angle is 90 degrees the sun of x and w has to be 180-90=90

for the second part, you have to use the triangle exterior angle theorem: an exterior angle of a triangle is equal to the sum of the opposite interior angles. The opposite interior angles in this case is 90 degrees and y

The double asterisk operator (**) is used to raise the radius to the power of 3, which represents r³ in the formula.

To compute the volume of a sphere, the given formula is used. It is: volume of a sphere = (4.0 / 3.0) πr³ where r is the radius of the sphere.

Therefore, to find the volume of the sphere given the sphere_radius and pi, the formula above is used, as shown below: sphere_volume = (4.0 / 3.0) * pi * sphere_radius**3

where sphere_radius is the given radius of the sphere and pi is the constant pi.

The double asterisk operator (**) is used to raise the radius to the power of 3, which represents r³ in the formula.

Pi (π) is a mathematical constant that represents the ratio of the circumference of a circle to its diameter. It is an irrational number, which means it cannot be expressed as a simple fraction or as a finite decimal. The decimal representation of pi goes on infinitely without repeating.

The value of pi is approximately 3.14159, but it is typically rounded to 3.14 for simplicity in calculations. However, to maintain accuracy, mathematicians and scientists often use more decimal places, such as 3.14159265359, depending on the level of precision required for their calculations.

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Full question:

Given sphere_radius and pi, compute the volume of a sphere and assign to sphere_volume. Volume of sphere = (4.0 / 3.0) π r3

Answer:

b, d, and f are 70°. a, c, g, and e are 110°

Step-by-step explanation:

Answer:

(f + g)(2) = 16

(f - g)(2) = 0

(fg)(2) = 64

Step-by-step explanation:

f(2) = 8          g(2) = 8

(f + g)(2) = f(2) + g(2) = 8 + 8 = 16

(f - g)(2) = f(2) - g(2) = 8 - 8 = 0

(fg)(2) = f(2)g(2) = 8(8) = 64

(i) A complete residue system is described as to  a set of integers that shows  all possible remainders when dividing any integer by a given modulus.

(ii) A primitive root is described as an integer that generates all possible residues modulo a given modulus.

When primitive roots exist, it is often very convenient to use them in proofs and explicit constructions.

Say for example, if p is an odd prime and g is a primitive root mod p, the quadratic residues mod p are precisely the even powers of the primitive root.

Primitive roots also  finds numerous  applications in number theory, cryptography, and discrete mathematics.

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A 98% confidence interval for the mean number of books people read is (13.76, 15.84).

The given data is: x = 14.8 books, s = 16.5 books, n = 967. Here, we need to find the 98% confidence interval for the mean number of books people read. Now, we know that the confidence interval can be calculated by the formula:

CI = x ± Z_(α/2) (σ/√n), where Z_(α/2) is the z-score value at α/2 level of significance.

Let's calculate the Z_(α/2):

α = 1 - 0.98 = 0.02

α/2 = 0.02/2 = 0.01

`The area in the right tail will be: 0.01 + 0.98 = 0.99 from the z-table.

Looking at the z-table, the corresponding z-score for 0.99 will be "2.33". So, Z_(α/2) = 2.33

Putting all the values in the formula: CI = 14.8 ± 2.33 (16.5/√967)

Calculating this: CI = 14.8 ± 1.96 (0.53)

So, CI = (13.76, 15.84)

Hence, a 98% confidence interval for the mean number of books people read is (13.76, 15.84). The correct choice is: There is 98% confidence that the population mean number of books road is between 13.76 and 15.84.

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Step-by-step explanation:

[tex] \frac{12 \times 8}{2} + {( \frac{8}{2}) }^{2} \pi = \\ = 48 + 16\pi[/tex]

98.24

The series ∑[(k² + 2)/(k³ - 7)] diverges using the limit comparison test and the series ∑(1/k) is a well-known harmonic series.

To determine the convergence of the series ∑[(k² + 2)/(k³ - 7)], we can use the limit comparison test. Let's compare it with the series ∑(1/k).

First, we need to find the limit of the ratio of the terms of the two series as k approaches infinity:

lim(k→∞) [(k² + 2)/(k³ - 7)] / (1/k)

Simplifying the expression, we get:

lim(k→∞) [(k² + 2)/(k³ - 7)] × (k/1)

Taking the limit as k approaches infinity, we have:

lim(k→∞) [(k² + 2)/(k³ - 7)] × (k/1) = 1

Since the limit is a finite positive value (1), we can conclude that the given series ∑[(k² + 2)/(k³ - 7)] and the series ∑(1/k) have the same convergence behavior.

The series ∑(1/k) is a well-known harmonic series, which diverges. Therefore, by the limit comparison test, the given series ∑[(k² + 2)/(k³ - 7)] also diverges.

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The question is -

Use the limit comparison test to determine whether the series converges. k² + 2/ k³ - 7

Answer:

Suppose we add up alternate Fibonacci numbers, Fn-1 + Fn+1; that is, what do ... L(1)=1 and L(3)= 4 so their sum is 5 whereas F(2)=1; L(2)=3 and L(4)= 7 so their ... What is the relationship between F(n-2), and F(n+2)? You should be able to find a ... Fib(N); K (an EVEN number!), Lucas(K) and Fib(K) in each expression like ...

i

Step-by-step explanation:

Answer:

104

Step-by-step explanation:

:)

Answer:

78 square centimeters

Step-by-step explanation:

Answer:

how to use a c a l c u l a t o r

Step-by-step explanation:

1. g o o g l e

2. add parenthesis if needed

Answer:

Not sure, but technically 9y

Step-by-step explanation:

find the average of the lengths. 12 and 6 average 9 together. Then, you multiply it by the height.

NOTE: It is not 1 or 2, because you can't use those to calculate the area.

The Wingate Anaerobic Test is used to assess the ATP/CP energy system, the Maximal Anaerobic Power Test is used to assess the glycolytic energy system, and the VO2 max test or Maximal Aerobic Power Test is used to assess the oxidative energy system.

a. To test the ATP/CP energy system, a common test used is the Wingate Anaerobic Test. This test involves a short duration and high-intensity cycling sprint. The individual pedals as fast as possible against a high resistance for 30 seconds. The test measures the peak power output and anaerobic capacity of the ATP/CP system.

b. To test the glycolytic energy system, a common test used is the Maximal Anaerobic Power Test. This test typically involves performing high-intensity exercises, such as a maximal effort sprint or a repeated sprint protocol, with short recovery periods. The test measures the individual's ability to produce energy through the glycolytic system and assesses their anaerobic power and capacity.

c. To test the oxidative energy system, a common test used is the VO2 max test or the Maximal Aerobic Power Test. This test typically involves performing activities such as running on a treadmill or cycling on an ergometer at progressively increasing intensities until exhaustion. The test measures the maximal oxygen uptake (VO2 max) and provides information about an individual's aerobic capacity and endurance performance.

In summary, the Wingate Anaerobic Test is used to assess the ATP/CP energy system, the Maximal Anaerobic Power Test is used to assess the glycolytic energy system, and the VO2 max test or Maximal Aerobic Power Test is used to assess the oxidative energy system.

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By applying the initial conditions and inverse Laplace transforming, we can obtain the solution x(t) = (1 - cos(2t))u(t-5) + (3 sin(t-5))u(t-5), where u(t) is the unit step function. Therefore, the solution to the initial-value problem is x(t) = (1 - cos(2t))u(t-5) + (3 sin(t-5))u(t-5)

Taking the Laplace transform of the given differential equation x" + 4 = f(t), we obtain the algebraic equation in the Laplace domain: s^2X(s) + 4sX(s) + 4 = F(s), where X(s) is the Laplace transform of x(t) and F(s) is the Laplace transform of f(t).

Next, applying the initial conditions x(0) = 0 and x'(0) = 0, we get X(0) = 0 and sX(0) = 0. Substituting these initial conditions into the Laplace domain equation, we have s^2X(s) + 4sX(s) + 4 = F(s), with X(0) = 0 and sX(0) = 0.

Now, let's consider the Laplace transform of f(t) using the given piecewise function. For [tex]t < 5, f(t) = t^2/5, and for t > 5, f(t) = 3sin(t-5).[/tex]Taking the Laplace transform of f(t) in each interval, we have [tex]F(s) = (1/s^3) + (3/s^2) for t < 5 and F(s) = (3/s^2) * (1/(s^2+1)) for t > 5.[/tex]

Substituting these Laplace transforms into the equation[tex]s^2X(s) + 4sX(s) +[/tex]4 = F(s), we can solve for X(s). Simplifying, we obtain [tex]X(s) = (1/s^3) + (3/s^2) / (s^2 + 4s + 4) + (3/s^2) * (1/(s^2+1)).[/tex]

To find the inverse Laplace transform of X(s), we can split it into partial fractions and apply the inverse Laplace transform formula. The solution is x(t) = (1 - cos(2t))u(t-5) + (3 sin(t-5))u(t-5), where u(t) is the unit step function.

Therefore, the solution to the initial-value problem is x(t) = (1 - cos(2t))u(t-5) + (3 sin(t-5))u(t-5), where u(t) is the unit step function that ensures the piecewise function is activated at t = 5.

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The coordinates that represent the same point are: (3, 5π/4) and (-3, 3π/4); and (-3, 5π/2) and (-3, 3π/2). Explanation:We know that in the coordinate system, there is a point represented by (x,y) where x is the horizontal position and y is the vertical position.

Here in the question, we are given with some coordinates and we need to match the pairs that represent the same point. So, Let's check each pair given:(3, 5π/4) and (-3, 3π/4): Here, x coordinates are not same but we need to check whether they represent the same point or not. If we check the angles associated with each coordinate, we will notice that 5π/4 and 3π/4 are coterminal angles.

So, they both lie on the same position and thus represents the same point. Hence, this pair represents the same point.(-3, 5π/2) and (-3, 3π/2): Here, x coordinates are same, so they are representing the same point.

But we need to check whether y-coordinates also represents the same point or not. If we check the angles associated with each coordinate, we will notice that 5π/2 and 3π/2 are coterminal angles. So, they both lie on the same position and thus represents the same point. Hence, this pair represents the same point.

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Answer:

CABD

Step-by-step explanation:

Answer:

I think you should go with 3

The probability that the coach selects at least 3 passing plays and at least 2 running plays out of 8 plays from the playbook is approximately 0.4914 or 49.14%. This means there is a 49.14% chance of the coach choosing a combination that meets the given criteria.

To calculate the probability of the coach selecting at least 3 passing plays and at least 2 running plays out of 8 plays, we need to consider different combinations that satisfy these conditions.

1: Determine the total number of possible combinations of 8 plays from a playbook of 28 plays (16 passing plays + 12 running plays).

Total Combinations = C(28, 8) = 28! / (8! * (28-8)!) = 3,395,685

2: Calculate the number of combinations that have at least 3 passing plays and at least 2 running plays.

First, we calculate the number of combinations with exactly 3 passing plays and 2 running plays:

Number of Combinations with 3 passing and 2 running = C(16, 3) * C(12, 2) = (16! / (3! * (16-3)!) * (12! / (2! * (12-2)!) = 560 * 66 = 36,960

Next, we calculate the number of combinations with exactly 4 passing plays and 2 running plays:

Number of Combinations with 4 passing and 2 running = C(16, 4) * C(12, 2) = (16! / (4! * (16-4)!) * (12! / (2! * (12-2)!) = 1,820 * 66 = 120,120

Finally, we calculate the number of combinations with 5 passing plays and at least 2 running plays:

Number of Combinations with 5 passing and 2 or more running = C(16, 5) * (C(12, 2) + C(12, 3) + C(12, 4) + C(12, 5) + C(12, 6) + C(12, 7) + C(12, 8)) = (16! / (5! * (16-5)!) * (C(12, 2) + C(12, 3) + C(12, 4) + C(12, 5) + C(12, 6) + C(12, 7) + C(12, 8)) = 4368 * (66 + 220 + 495 + 792 + 924 + 792 + 495) = 4368 * 3786 = 16,530,048

Total Number of Combinations with at least 3 passing and 2 running plays = Number of Combinations with 3 passing and 2 running + Number of Combinations with 4 passing and 2 running + Number of Combinations with 5 passing and 2 or more running = 36,960 + 120,120 + 16,530,048 = 16,687,128

3: Calculate the probability.

Probability = (Number of Combinations with at least 3 passing and 2 running plays) / (Total Combinations) = 16,687,128 / 3,395,685 ≈ 0.4914

Therefore, the probability that the coach selects at least 3 passing plays and at least 2 running plays out of 8 plays is approximately 0.4914 or 49.14%.

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According to the question the following using the Sampling Distribution are as follows :

1. Study Activity 1 on p.301. Then complete the following using the Sampling Distribution of a Sample Proportion web app.

i. Simulate taking a random sample of 100 voters from a large population of voters of whom 54\% voted for Brown, and record the number out of 100 that voted for Brown.

ii. Report the proportion of your sample that voted for Brown

iii. Insert below the Data Distribution generated by the web app.

i. Simulate taking a random sample of 100 voters from a large population of voters of whom 54\% voted for Brown, and record the number out of 100 that voted for Brown.

ii. Report the proportion of your sample that voted for Brown: [Insert the proportion value here]

iii. Insert below the Data Distribution generated by the web app:

[Insert the data distribution plot here]

Note: The actual values for the proportion and data distribution will vary based on the simulation results obtained from the Sampling Distribution of a Sample Proportion web app.

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