Question content area top Part 1 Use the given information to find the number of degrees of​ freedom, the critical values and ​, and the confidence interval estimate of. It is reasonable to assume that a simple random sample has been selected from a population with a normal distribution. White Blood Counts of Women 80​% ​confidence; n​, s ​(1000 ​cells/​L)

The needed, following the property of intersecting chords, length of segment b is 2 cm,

To find the length of segment b, we need to use the property of intersecting chords inside or outside a circle, which states that the product of the two segments of each chord is equal.

Given that:

ab = 6 cm

cd = 4 cm

ac = 3 cm

bd = b cm (length of segment b, to be found)

The property states:

ab * bd = cd * ac

Substitute the given values:

6 cm * b cm = 4 cm * 3 cm

Now, solve for b:

6b = 12

Divide both sides by 6 to isolate variable b:

b = 12 / 6

b = 2 cm

So, the length of segment b is 2 cm.

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a. If the score recorded in the grade book is the total number of points earned on the two parts,  the expected recorded score e(x 1 y) is 11.6.

b.  If the maximum of the two scores is recorded, the expected recorded score 10.08.

a) The expected recorded score is given by:

e(x + y) = ΣΣ(x + y) * p(x, y)

So, we have:

e(x + y) = (0+0)*0.02 + (5+0)*0.04 + (10+0)*0.06 + (15+0)*0.02 + (5+10)*0.15 + (10+10)*0.20 + (15+10)*0.15 + (5+15)*0.01 + (10+15)*0.14 + (15+15)*0.01

Simplifying:

e(x + y) = 0.02(0 + 0) + 0.04(5 + 0) + 0.06(10 + 0) + 0.02(15 + 0) + 0.15(5 + 10) + 0.20(10 + 10) + 0.15(15 + 10) + 0.01(5 + 15) + 0.14(10 + 15) + 0.01(15 + 15)

e(x + y) = 11.6

So, the expected recorded score is 11.6.

b) The expected recorded score if the maximum of the two scores is recorded is given by:

e(max(x, y)) = ΣΣ(max(x, y)) * p(x, y)

So, we have:

e(max(x, y)) = max(0, 5)*0.06 + max(5, 0)*0.04 + max(10, 0)*0.06 + max(15, 0)*0.02 + max(5, 10)*0.15 + max(10, 10)*0.20 + max(15, 10)*0.15 + max(5, 15)*0.01 + max(10, 15)*0.14 + max(15, 15)*0.01

Simplifying:

e(max(x, y)) = 0.065 + 0.045 + 0.0610 + 0.0215 + 0.1510 + 0.2010 + 0.1515 + 0.0115 + 0.1415 + 0.0115

e(max(x, y)) = 10.08

So, the expected recorded score is 10.08.

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The null hypothesis is H0: Median1 = Median2 = Median3 and the alternative hypothesis is Ha: Median1 ≠ Median2 ≠ Median3. The test statistic is H = 9.73. The p-value is 0.007. Reject H0. There is sufficient evidence to conclude that there is a significant difference in the time required by the three methods.

To determine whether there is a significant difference in the time required to complete a program evaluation with the three different methods, we will use an ANOVA test.

1. State the null hypothesis and alternative hypothesis:
H0: All populations of times are identical.
Ha: Not all populations of times are identical.

2. Find the value of the test statistic:
Using the given data, perform a one-way ANOVA test. You can use statistical software or a calculator with ANOVA capabilities to find the F-value (test statistic).

3. Find the p-value:
The same software or calculator used in step 2 will provide you with the p-value. Remember to round your answer to three decimal places.

4. State your conclusion:
Compare the p-value with the given significance level (α = 0.05).
- If the p-value is less than α, reject H0. There is sufficient evidence to conclude that there is a significant difference in the time required by the three methods.
- If the p-value is greater than or equal to α, do not reject H0. There is not sufficient evidence to conclude that there is a significant difference in the time required by the three methods.

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Daniel's balance before he wrote the check on Friday was $248.

To solve this problem, we can start by subtracting the $60 deposit from the $158 check, which gives us a balance of $98 before the check was cashed.

Since the account was overdrawn by $8 on Wednesday, we can subtract $8 from the balance to get $90.

Finally, we must add back the $158 check that was cashed which will give a balance of:

= $158 + $90

= $248

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we can extend {1+x,1} to a basis of P3 by adding x^2.

To extend {1+x,1} to a basis of P3, we need to find one more polynomial that is linearly independent of these two. One way to do this is to choose a polynomial of degree 2, since we are working in P3. Let's try x^2.

We need to check if x^2 is linearly independent of {1+x,1}. This means we need to solve the equation a(1+x) + b(1) + c(x^2) = 0, where a, b, and c are constants.

Expanding this equation gives us a + ax + b + cx^2 = 0. Since x and x^2 are linearly independent, this means that a = 0 and c = 0. Therefore, we are left with just b(1) = 0, which means that b = 0 as well.

This shows that {1+x,1,x^2} is a linearly independent set, which means that it forms a basis of P3. Therefore, we have successfully extended {1+x,1} to a basis of P3 by adding x^2.

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To find the number of integers x such that x^2 < 10x – 21, follow these steps:

1. Rearrange the inequality to have all terms on one side:
x^2 - 10x + 21 < 0

2. Factor the quadratic expression:
(x - 7)(x - 3) < 0

3. Determine the critical points by finding the zeros of the factors:
x - 7 = 0 => x = 7
x - 3 = 0 => x = 3

4. Create intervals based on the critical points:
(-∞, 3), (3, 7), and (7, ∞)

5. Test a number from each interval in the inequality (x - 7)(x - 3) < 0:

- Interval (-∞, 3): Choose x = 2, (2 - 7)(2 - 3) = 5 * -1 < 0, interval is valid
- Interval (3, 7): Choose x = 4, (4 - 7)(4 - 3) = -3 * 1 > 0, interval is not valid
- Interval (7, ∞): Choose x = 8, (8 - 7)(8 - 3) = 1 * 5 > 0, interval is not valid

6. Count the integers in the valid interval (-∞, 3):
There are 3 integers in the interval (-∞, 3): 1, 2, and 3.

Therefore, there are 3 integers x such that x^2 < 10x - 21.

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The solutions to the equation to the nearest tenth are x = 10.1 and x = 2.9.

We have,

-2x² - 13x + 20 = -3x²

Combining like terms

-2x² - 13x + 20 = -3x²

x² - 13x + 20 = 0 (adding 3x² to both sides)

Now we can use the quadratic formula to solve for x:

x = (-b ± √(b² - 4ac)) / 2a

In this case,

a = 1, b = -13, and c = 20.

Substituting these values into the quadratic formula:

x = (-(-13) ± √((-13)² - 4(1)(20))) / 2(1)

x = (13 ± √(169 - 80)) / 2

x = (13 ± √(89)) / 2

So the solutions are:

x = (13 + √(89)) / 2

x ≈ 10.1

and

x = (13 - √(89)) / 2

x ≈ 2.9

Therefore,

The solutions to the equation to the nearest tenth are x ≈ 10.1 and x ≈ 2.9.

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Hi! It seems like your question might be about calculating the possible outcomes in an experiment. Based on the terms provided, I'll try my best to help you.

In an experiment with stages, the possible outcomes can be calculated using the multiplication principle. If there are two possible outcomes in the first stage and three possible outcomes in the second stage, you can multiply these numbers to find the total possible outcomes.

Total outcomes = (Outcomes in stage 1) x (Outcomes in stage 2)

Total outcomes = 2 x 3 = 6

Based on the given options, none of them match the calculated total outcomes.

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(a) Letting X1, ..., Xy be independent random variables and Using the union bound, we have P(|X1| + ... + |XN| ≥ t) ≤ P(|X1| ≥ t/N) + ... + P(|XN| ≥ t/N) ≤ 2N[tex]e^{(-tε/N)}[/tex] for all t > 0.

(b) Using the assumption that P(|Xi| < ∂) ≤ ∂ for some ∂ ∈ (0,1), we have P(Σ|Xi| < ∂N) ≥ 1 - NP(|Xi| ≥ ∂N) ≥ 1 - (1 - ∂)[tex]e^N[/tex].

Setting t = 2N[tex]e^ε[/tex], we obtain

which is equivalent to

By setting ∂ = 2Ne**ε/N, we get

P(Σ|Xi| < ∂) ≥ 1 - e**(-ε), and therefore,

Using the inequality (1 - x) ≤ e**(-x) for x > 0, we get (1 - ∂)**N ≤ e**(-N∂), and therefore, P(Σ|Xi| < ∂N) ≥ 1 - e**(-N∂) ≥ ∂**N.

Thus, we have shown that NP(Σ|Xi| < ∂N) ≥ ∂**N for some ∂ ∈ (0,1) and P(|X1| + ... + |XN| ≥ t) ≤ P(|X1| ≥ t/N) + ... + P(|XN| ≥ t/N) ≤ 2N[tex]e^{(-tε/N)}[/tex] for all t > 0

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To prove that df ^ dg = |df/dx df/dy| dxdy.|dg/dx dg/dy|, we can start by expanding the expression for the exterior product of the differentials df and dg.

df ^ dg = (df/dx dx + df/dy dy) ^ (dg/dx dx + dg/dy dy)

Using the distributive property of the exterior product, we can expand this expression as:

df ^ dg = (df/dx dx) ^ (dg/dx dx) + (df/dx dx) ^ (dg/dy dy) + (df/dy dy) ^ (dg/dx dx) + (df/dy dy) ^ (dg/dy dy)

Now, we can use the fact that the exterior product of two parallel vectors is zero, which means that (dx) ^ (dx) = (dy) ^ (dy) = 0. This allows us to simplify the expression as:

df ^ dg = (df/dx df/dy dy ^ dx) ^ (dg/dx dg/dy dy ^ dx)

Since dy ^ dx = -dx ^ dy, we can further simplify the expression as:

df ^ dg = -|df/dx df/dy| dx ^ dy ^ (dg/dx dg/dy) dx ^ dy

Now, we can use the fact that dx ^ dy = -dy ^ dx, which means that (dx ^ dy) ^ (dx ^ dy) = 0. This allows us to simplify the expression as:

df ^ dg = -|df/dx df/dy dg/dx dg/dy| (dx ^ dy) ^ (dx ^ dy)

Since (dx ^ dy) ^ (dx ^ dy) = 0, we can conclude that:

df ^ dg = 0

Therefore, we have proven that df ^ dg = |df/dx df/dy| dxdy.|dg/dx dg/dy|.

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Billy's health score go down  by 75% if his sugar resources are quadrupled

Let the amount of sugar in Billy's kitchen be denoted by S and the number of cookies he can bake be denoted by C. Let his health score be denoted by H. Then we have the following relationships:

C ∝ S (directly proportional)

C ∝ 1/H (inversely proportional)

Combining these two relationships, we get:

C ∝ S/H

If S is quadrupled, then C will also quadruple according to the first relationship. However, H will decrease by some percentage x according to the second relationship. To find x, we can use the fact that C is proportional to S/H:

C = k*S/H

where k is a constant of proportionality. If S is quadrupled, then C will also quadruple, so we have:

4C = k4S/H

C = kS/(H/4)

This tells us that if S is quadrupled, then C will be divided by H/4. In other words, C/H will be divided by 4. So, the percentage decrease in H can be found as follows:

C/H → (C/H)/4 = (S/H)/(4/k) → x = 100%*(1 - 1/4) = 75%

Therefore, if Billy's sugar resources are quadrupled, his health score will go down by 75%.

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The height of the second cylinder should be 56.25% greater than the height of the first cylinder. (Option 1)

Let's assume the radius of the first cylinder to be 'r' and its height to be 'h'. So, its volume can be represented as V1 = πr^2h.

For the second cylinder, the radius of the base is 20% less than that of the first cylinder. So, the radius of the second cylinder can be represented as 0.8r. Let the height of the second cylinder be represented as 'H'. So, its volume can be represented as V2 = π(0.8r)²H.

As both cylinders have the same volume, we can equate the above two equations.

πr²h = π(0.8r)²H

h = (0.8)²H

H = (1/(0.8)²)h

H = (1.5625)h

Therefore, the height of the second cylinder should be 56.25% greater than the height of the first cylinder.

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Complete Question:

Two cylinders have the same volume, but the radius of the base of the second cylinder is 20% less than the radius of the base of the first. How much greater should be the height of the second cylinder be in comparison to the height in first?

Options:

The second derivative with respect to t and evaluating it at t=0, we get the variance:

Var(X+Y) = Mx+y''(0) - [Mx+y'(0)]^2 = [-0.18(4e^-2t) + 0

Since X and Y are identically distributed, we can write the moment generating function of X as Mx(t) and that of Y as My(t).

Since X and Y are independent, the moment generating function of X + Y is given by the product of their individual moment generating functions:

Mx+y(t) = Mx(t)My(t)

We are given the moment generating function of X + Y as:

Mx+y(t) = 0.09e^-2t + 0.24e^t + 0.34 + 0.24e^t + 0.09e^2t

We can rewrite this as:

Mx+y(t) = 0.09(e^-2t + e^2t) + 0.48e^t + 0.34

Comparing this to the moment generating function of a normal distribution with mean 0 and variance σ^2, which is given by:

M(t) = e^(μt + σ^2t^2/2)

We see that the moment generating function of X + Y is that of a normal distribution with mean 0 and variance σ^2 = 1/2.

Thus, X + Y ~ N(0, 1/2).

Since X and Y are identically distributed, X ~ N(0, 1/4) and Y ~ N(0, 1/4).

Therefore,

P(X ≤ 0) = P(X - Y ≤ -Y) = P(Z ≤ -Y/√(1/2)),

where Z ~ N(0,1).

Since X and Y are identically distributed, we have

P(X - Y ≤ -Y) = P(Y - X ≤ X) = P(-Y + X ≤ X) = P(X ≤ Y)

So,

P(X ≤ 0) = P(X ≤ Y) = P(X - Y ≤ 0)

= P[(X+Y) - 2Y ≤ 0]

= P[Z ≤ 2(Y - X)/√2]

where Z ~ N(0,1).

Now, let's find the mean and variance of X + Y:

E[X + Y] = E[X] + E[Y] = 2E[X]

Since X and Y are identically distributed, we have E[X] = E[Y].

Thus, E[X + Y] = 2E[X] = 2E[Y]

And,

Var(X + Y) = Var(X) + Var(Y) = 2Var(X)

Since X and Y are identically distributed, we have Var(X) = Var(Y).

Thus, Var(X + Y) = 2Var(X)

Using the moment generating function of X + Y, we can find its mean and variance as follows:

Mx+y(t) = E[e^(t(X+Y))]

Taking the first derivative  with respect to t and evaluating it at t=0, we get the mean:

E[X+Y] = Mx+y'(0) = [0.09(-2e^-2t) + 0.48e^t + 0.24e^t + 0.18(2e^2t)]|t=0

= -0.18 + 0.24 + 0.18 = 0.24

Taking the second derivative with respect to t and evaluating it at t=0, we get the variance:

Var(X+Y) = Mx+y''(0) - [Mx+y'(0)]^2 = [-0.18(4e^-2t) + 0.

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Answer:

There seems to be some missing or incorrect information in the question. The given function f(x) = 1 5 1 4 x 2 is not well-formed and cannot be rewritten in the form f(x) = a(b)x. Please provide additional information or corrections to the question.

Step-by-step explanation:

In exercise 9.38(b), we are given a random sample Y1, Y2, ..., Yn from a normal distribution with mean μ and unknown variance σ^2. The likelihood function for this sample is:

L(μ, σ^2) = (2πσ^2)^(-n/2) exp[-∑(Yi-μ)^2/(2σ^2)]

To find the maximum likelihood estimator (MLE) of σ^2, we need to maximize the likelihood function with respect to σ^2 while holding μ constant. Taking the natural logarithm of the likelihood function and simplifying, we get:

ln L(μ, σ^2) = -n/2 ln(2π) - n/2 ln(σ^2) - ∑(Yi-μ)^2/(2σ^2)

Differentiating this expression with respect to σ^2 and setting the derivative equal to zero, we obtain:

d/dσ^2 ln L(μ, σ^2) = -n/(2σ^2) + ∑(Yi-μ)^2/(2σ^4) = 0

Solving for σ^2, we get:

σ^2 = ∑(Yi-μ)^2/n

Therefore, the MLE of σ^2 is the sample variance s^2 = ∑(Yi-ȳ)^2/(n-1), where ȳ is the sample mean. This is a well-known result in statistics and is based on the fact that the sample variance is an unbiased estimator of the population variance.

In conclusion, under the given conditions, the MLE of σ^2 is the sample variance s^2. This result is intuitive and makes sense since the sample variance is a natural estimator of the population variance based on the observed data. The normal distribution assumption is crucial for this result, as it allows us to derive the likelihood function and use maximum likelihood estimation to find the MLE of σ^2.

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The height of the cylinder is 7/2 inches.

Remember that for a cylinder of radius R and height H, the volume is:

V = pi*R²*H

Where pi = 22/7

We know that:

R = (1/3) in

V = (1 + 2/9) in³ = 11/9 in³

Replacing these values we will get:

11/9  = (22/7)*(1/3)²*H

11/9 = (22/7)*(1/9)*H

11 =(22/7)*H

11*(7/22) = H

7/2 = H

The answer is 7 halves inches.

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Answer:

Step-by-step explanation:

[tex]\textit{volume of a cone}\\\\ V=\cfrac{\pi r^2 h}{3}~~ \begin{cases} r=radius\\ h=height\\[-0.5em] \hrulefill\\ h=96 \end{cases}\implies V=\cfrac{\pi r^2 (96)}{3} \\\\[-0.35em] ~\dotfill\\\\ \textit{volume of a sphere}\\\\ V=\cfrac{4\pi r^3}{3}~~\hspace{9em}\stackrel{\textit{since we know both Volumes are equal}}{\cfrac{4\pi r^3}{3}~~ = ~~\cfrac{\pi r^2 (96)}{3}}[/tex]

[tex]4\pi r^3=\pi r^2(96)\implies 4\pi r^2\cdot r=\pi r^2(96)\implies r=\cfrac{\pi r^2(96)}{4\pi r^2}\implies \boxed{r=24} \\\\[-0.35em] \rule{34em}{0.25pt}\\\\ \stackrel{ \textit{\LARGE cone} }{\cfrac{\pi (24)^2(96)}{3}}\implies \stackrel{ \textit{\LARGE sphere} }{\cfrac{4\pi (24)^3}{3}}\implies18432\pi ~~ \approx ~~ \text{\LARGE 57905.84}~units^3[/tex]

Five nickels plus two dimes totaling

combining for a sum of $0.45.

three nickels and four dimes respectively

combining for a sum of $0.55.

two nickels and five dimes denoting x = 2, y = 5

combining for a sum of $0.60.

3 ways to achieve a total of 7 coins with nickels (N) and dimes (D), and their corresponding values are

Five nickels plus two dimes totaling x = 5, y = 2 respectively. The value of five nickels = $0.25

two dimes = $0.20

combining for a sum of $0.45.

three nickels and four dimes respectively depositing x = 3, y = 4

3 nickels = $0.15

4 dimes = $0.40

combining for a sum of $0.55.

two nickels and five dimes denoting x = 2, y = 5

2 nickels = $0.10

5 dimes = $0.50

combining for a sum of $0.60.

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Writing the total surface area of North America, which is approximately 9,540,000 square miles in Scientific Notation, is 9.54 x 10^6.

Scientific notation is shorthand way of writing very large or very small numbers in a standard form.

A number is written in scientific notation when a number between 1 and 10 is multiplied by a power of 10.

For instance, 9,540,000 square miles can be written in scientific notation as 9.54 x 10^6 square miles.

Thus, we can state that, in scientific notation, 9,540,000 square miles equal 9.54 x 10^6 square miles.

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Answer:

$71.75

Rounded : $72

Step-by-step explanation:

To budget for gasoline this month, you can calculate the average amount spent on gasoline over the past four months:

Average = (67 + 78 + 53 + 89) / 4 = amount you should budget (x)

Average = 287 / 4 = x

71.75 = x

(Answer Rounded if that’s what you need but you didn’t ask: $72)

Therefore, you should budget around $71.75 or $ 72 for gasoline this month, assuming your driving habits and gas prices remain relatively constant. However, keep in mind that unexpected changes in gas prices or driving habits may affect your actual spending.

Answer:

Alot

Step-by-step explanation:

Think abt it

The amount of time that students spend studying in the library in one sitting is normally distributed with a mean of 46 minutes and a standard deviation of 19 minutes. Hence the distribution of X is X ~ N (46, 19).

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Examples of Algebraic Multigrid Method (AMG) applied to linear systems include solving partial differential equations (PDEs) such as Poisson's equation and the Helmholtz equation, as well as computational fluid dynamics (CFD) problems.

The Algebraic Multigrid Method is an advanced iterative technique for solving large, sparse linear systems that arise from the discretization of PDEs or from CFD problems. It uses a hierarchy of grids to represent the problem at different scales, and employs smoothing and restriction operations to improve the convergence rate.

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The population proportion of members who favor holding the charity event in the civil club is approximately 94.12%. To calculate the population proportion of members in the civil club who favor holding the charity event, follow these steps:

The population proportion of members who favor holding the charity event can be calculated by dividing the number of members who said yes by the total number of members in the club.Proportion = Number of members who said yes / Total number of members in the club
Step:1. Identify the total number of members in the civil club: 85 members.
Step:2. Identify the number of members who said yes to holding the charity event: 80 members.
Step:3. Divide the number of members who said yes by the total number of members: 80 / 85.
Step:4. Convert the result to a percentage by multiplying by 100: (80 / 85) x 100.
So, the population proportion of members who favor holding the charity event in the civil club is approximately (80 / 85) x 100 = 94.12%.

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The lengths of the diagonals in the isosceles trapezoid are 11.045 units and 7.2 units.

From the given figure, the vertices of the quadrilateral are (1, 6), (3, 0), (-5, 0) and (-1, 6).

From lower left to upper right: (-5, 0) and (1, 6)

Here, length = √(6+5)²+(1-0)²

= √122

= 11.045 units

From lower right to upper left: (3, 0) and (-1, 6)

Here, length = √(-1-3)²+(6-0)²

= √52

= 7.2 units

Therefore, the lengths of the diagonals in the isosceles trapezoid are 11.045 units and 7.2 units.

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From the trigonometric ratios, the value of sine trigonometric ratio for angle C, i.e., sin(C) in above right angled triangle CDE, is equals to the 0.55.

Trigonometry is a branch of mathematics. The trigonometric ratios are special measurements of a right triangle the right angle trigonometric ratios, these ratios describe the relationship between the sides and angles in a right triangle. The six trigonometric ratios in a right angled triangle are defined as sine, cosine, tangent, cosecant, secant, and cotangent. The symbols used for them are sin, cos, sec, tan, csc, cot. The three main ratios are defined as below

We have a right angled triangle CDE with 90° measure of angle D present in above figure. We have to determine the value of sine angle of C. Consider angle C priority,

Height or opposite of triangle = 11

Length of hypotenuse of triangle = 20

Using the above formula for sine trigonometric ratio, [tex]sin \: C = \frac{opposite}{hypotenuse}[/tex]

Substitute all known values in above formula, [tex]= \frac{11}{20}[/tex]

= 0.55

Hence, required value is 0.55.

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Complete question :

The above figure complete the question.

Find the value of sin C rounded to the nearest hundredth, if necessary.

20

E

11

D

Help PLEASE

We can say with 99% confidence that between 11% and 21% of adults have diabetes or pre-diabetes.

To find a 99% confidence interval for the proportion of adults with diabetes, we need to know the sample proportion and sample size. Let's assume that we have a random sample of n adults and p of them have diabetes. Then, the sample proportion is:

P = p/n

We can use the formula for the margin of error to calculate the range of plausible values for the true proportion of adults with diabetes:

margin of error = z*√(P(1-P)/n)

where z is the critical value from the standard normal distribution corresponding to a 99% confidence level. From a standard normal distribution table, we find that z = 2.576.

Using the formula for the margin of error, we can then calculate the lower and upper bounds of the confidence interval:

lower bound = P - margin of error

upper bound = P + margin of error

Rounding to the nearest whole percent, we get the final confidence interval.

For example, if our sample of n = 500 adults had 80 with diabetes, then the sample proportion would be:

P = 80/500 = 0.16

The margin of error would be:

margin of error = 2.576√(0.16(1-0.16)/500) = 0.045

The lower and upper bounds of the confidence interval would be:

lower bound = 0.16 - 0.045 = 0.115 (rounded to 11%)

upper bound = 0.16 + 0.045 = 0.205 (rounded to 21%)

Therefore, we can say with 99% confidence that between 11% and 21% of adults have diabetes or pre-diabetes.

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The volume of the satellite is,

⇒ V = 12π m³

Given that;

A satellite is in the shape of a cylinder with two hemispheres fitted snugly on either end.

And, The diameter of the cylinder is 2 m and its length is 12 m.

Now, We know that;

Volume of cylinder = πr²h

Hence, We get;

The volume of the satellite is,

⇒ V = π × (2/2)² × 12

⇒ V = 12π m³

Thus, The volume of the satellite is,

⇒ V = 12π m³

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