For a normal distribution, the probability of a value being between a positive z-value and its population mean is the same as that of a value being between a negative z-value and its population mean.

The x-intercepts are (0, 0), (1, 0) and (-1, 0), the y-intercept is (0, 0), the stationary points are (1, 0), (-1, 0), (1/√5, 16/25√5) and (-1/√5, -16/25√5) and the inflection points are (0, 0), (√(3/5), 4/25√(3/5)) and (-√(3/5), -4/25√(3/5)).

Given that a function p(x) = x (x² - 1)², we need to find the coordinates of the intercepts, stationary points, and the inflection point,

x-intercept =

0 = x (x² - 1)²

x = 0,

x² - 1 = 0

x = ± 1

Thus, the x-intercepts are (0, 0), (1, 0) and (-1, 0)

y-intercept =

y = x (x² - 1)²

y = 0(0-1)²

y = 0

Thus, y-intercept is (0, 0)

Differentiate the function,

dy/dx = d/dx[x (x² - 1)²]

= (x² - 1)² + 4x²(x²-1)]

= (x²-1)(5x²-1)

Put dy/dx = 0

(x²-1)(5x²-1) = 0

x²-1 = 0

x = ±1

5x²-1 = 0

x = ±1/√5,

When, x = ±1 then y = 0

When x = 1/√5, then,
y = 1/√5((1/√5)²-1)²

= 16/25√5

Similarly, for x = -1/√5,

y = -1/√5((1/√5)²-1)²

= -16/25√5

Thus, the stationary points are (1, 0), (-1, 0), (1/√5, 16/25√5) and (-1/√5, -16/25√5)

Now, differentiate the function y = (x²-1)(5x²-1)

d²y/dx² = (5x²-1)2x + (x²-1)10x

= 20x³ - 12x

Put d²y/dx² = 0,

20x³ - 12x = 0

4x(5x²-3) = 0

4x = 0, x = 0

5x²-3 = 0

x = ±√(3/5)

When x = 0, y = 0,

When x = √(3/5)

y = √(3/5)((√(3/5))²-1)²

= 4/25(√(3/5))

When x = -√(3/5)

y = -√(3/5)((√(3/5))²-1)²

Thus, the inflection points are (0, 0), (√(3/5), 4/25√(3/5)) and (-√(3/5), -4/25√(3/5)).

Hence the x-intercepts are (0, 0), (1, 0) and (-1, 0), the y-intercept is (0, 0), the stationary points are (1, 0), (-1, 0), (1/√5, 16/25√5) and (-1/√5, -16/25√5) and the inflection points are (0, 0), (√(3/5), 4/25√(3/5)) and (-√(3/5), -4/25√(3/5)).

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The solution is x ≈ 0.305.

The equation you are referring to is:

5 = 31n x - In x

To solve for x, we need to use numerical methods since this equation

cannot be solved algebraically.

One common method is to use the Newton-Raphson method. Here are

the steps:

Choose an initial guess for x. Let's start with x=1.

Calculate the function and its derivative at the current guess:

f(x) = 31n x - In x - 5

f'(x) = 31n - 1/x

Use the formula x1 = x0 - f(x0)/f'(x0) to find a new guess for x:

x1 = x0 - (31n x0 - In x0 - 5)/(31n - 1/x0)

Repeat steps 2 and 3 with the new guess until the value of f(x) is very

close to zero.

In other words, keep iterating until |f(x)| < ε, where ε is a small positive

number that represents the desired accuracy.

After several iterations, we get the solution x ≈ 0.305. Rounded to the

nearest thousandths, the solution is x ≈ 0.305.

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The H0: μ = 70 H1: μ > 70 These are the null and alternative hypotheses in symbolic form for the given scenario.

express the null hypothesis (H0) and alternative hypothesis (H1) for the given situation involving the Carter Motor Company and their claim about the Libra's average city mileage.

The null hypothesis (H0) is the default assumption that there is no difference or relationship between the tested parameters. In this case, it would be that the true average mileage (μ) of the Libra is equal to 70 miles per gallon in the city:
H0: μ = 70

The alternative hypothesis (H1) is the claim that we want to test, which is that the true average mileage (μ) of the Libra is better than (greater than) 70 miles per gallon in the city:
H1: μ > 70

These are the null and alternative hypotheses in symbolic form for the given scenario.

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To find the minimum sample size required to estimate the population proportion, we'll use the following formula:
n = (Z^2 * p_hat * (1 - p_hat)) / E^2
where:
n = minimum sample size
Z = Z-score, which corresponds to the desired confidence level (99% in this case)
p_hat = estimated population proportion (0.07)
E = margin of error (0.04)
First, we need to find the Z-score for a 99% confidence level. You can find this value using a standard normal distribution table or a calculator. For a 99% confidence level, the Z-score is approximately 2.576.
Now, we can plug the values into the formula:
n = (2.576^2 * 0.07 * (1 - 0.07)) / 0.04^2
n = (6.635776 * 0.07 * 0.93) / 0.0016
n = 0.464507328 / 0.0016
n = 290.316955
Since we cannot have a fraction of a participant, we round up to the nearest whole number to ensure the desired margin of error and confidence level are met.
Minimum sample size (n) = 291

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The probability that no calls come in a given 1 minute period and that at least two calls will arrive in a given two minute period is 0.0067 and 0.9999546 respectively.

(a) The probability that no calls come in a given 1 minute period can be found using the Poisson distribution formula:

P(X = 0) = e^(-λ) * λ^0 / 0!, the mean of the Poisson distribution  λ, which in this case is 5.

So, P(X = 0) = e^(-5) * 5^0 / 0! = e^(-5) = 0.0067 (rounded to four decimal places)

Therefore, the probability that no calls come in a given 1 minute period is approximately 0.0067.

(b) For probability that at least two calls will arrive in a given two minute period  the amount of calls received in any two separate minutes is independent P(X ≥ 2).

= 1 - P(X = 0) - P(X = 1)

= 1 - e^(-10) * 10^0 / 0! - e^(-10) * 10^1 / 1!

= 1 - e^(-10) * (1 + 10)

= 1 - 0.0000453999...

= 0.9999546 (rounded to seven decimal places)

Therefore, the probability that at least two calls will arrive in a given two minute period is approximately 0.9999546.

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The distance a patient will walk on the ramp is approximately 26.84 meters.

We can use trigonometry to solve this problem.

The ramp has a 25° angle of inclination, which means it makes a 25° angle with the horizontal. The ramp has a height of 12 meters, which translates to a vertical height of 12 meters from the ramp's bottom to its top.

To determine the length of the ramp (the distance a patient would travel), we can use the tangent function:

tan(25°) = adjacent/opposite

Where

Putting this equation in a different way, we get:

adjacent = opposite/tan(25°)

We obtain the following by substituting the above values:

nearby = 12/tan(25°) = 26.84 meters

Therefore, the distance a patient will walk on the ramp is approximately 26.84 meters.

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A numerical measure of linear association between two variables is the

b. correlation coefficient.

A correlation coefficient is a numerical measure of the strength and direction of the linear relationship between two variables.

It ranges from -1 to +1, where a value of -1 indicates a perfect negative correlation (as one variable increases, the other decreases), a value of +1 indicates a perfect positive correlation (as one variable increases, the other also increases), and a value of 0 indicates no linear correlation between the variables.

The correlation coefficient is an important tool in statistical analysis as it allows researchers to determine whether and how strongly two variables are related.

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The total length of the curve swept out by the point (x, y) as θ ranges from 0 to 2π is 64π units.

We can start by finding the derivative of x and y with respect to θ:

dx/dθ = -16 sin θ

dy/dθ = 16 cos θ

Using the formula for arc length of a curve in polar coordinates, we have:

L = ∫(a to b) √(r² + (dr/dθ)²) dθ

where r is the distance from the origin to the point (x, y).

Substituting x and y into r, we get:

r = √(x² + y²) = √(256 [tex]cos^{2\theta[/tex] + 256 [tex]sin^{2\theta[/tex]) = 16

Substituting dx/dθ and dy/dθ into (dr/dθ), we get:

(dr/dθ) = √((-16 sin θ)² + (16 cos θ)²) = 16

Therefore, the total length of the curve swept out by the point (x, y) as θ ranges from 0 to 2π is:

L = [tex]\int\limits^{2 \pi}_0[/tex] √(r² + (dr/dθ)²) dθ

= [tex]\int\limits^{2 \pi}_0[/tex] √(256 + 256) dθ

= [tex]\int\limits^{2 \pi}_0[/tex] 32 dθ

= 32θ |o to (2π)

= 64π

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To find the indefinite integrals for the given functions. Here are the solutions:

(i) ∫(t^2 - t + 1)dt:
Integration is performed term-by-term:
∫t^2dt - ∫tdt + ∫1dt = (t^3/3) - (t^2/2) + t + C

(ii) ∫x*cos(x^2)dx:
Use u-substitution: u = x^2, so du/dx = 2x, or du = 2xdx
Now rewrite the integral: (1/2)∫cos(u)du = (1/2)*sin(u) + C
Substitute x^2 back in for u: (1/2)*sin(x^2) + C

(iii) ∫tan(3x)dx:
Use u-substitution: u = 3x, so du/dx = 3, or du = 3dx
Now rewrite the integral: (1/3)∫tan(u)du
The integral of tan(u) is ln|sec(u)|, so:
(1/3)*ln|sec(3x)| + C

(iv) ∫cos(t)dt/sin^2(t):
Use u-substitution: u = sin(t), so du/dx = cos(t), or du = cos(t)dt
Now rewrite the integral: ∫du/u^2 = -1/u + C
Substitute sin(t) back in for u: -1/sin(t) + C

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The probability of the sample mean being between 21 and 22 inches is approximately 47.72%.

To find the probability of a sample mean between 21 and 22 inches, we'll use the z-score formula for sample means. The z-score is calculated as:

Z = (X - μ) / (σ / √n)

where X is the sample mean, μ is the population mean, σ is the population standard deviation, and n is the sample size.

First, we'll find the z-scores for the sample means of 21 and 22 inches:

Z₁ = (21 - 21) / (4.5 / √64) = 0
Z₂ = (22 - 21) / (4.5 / √64) ≈ 2.01

Now, we'll find the probability between these z-scores using a standard normal distribution table. The probability corresponding to Z₁=0 is 0.5, and for Z₂≈2.01, it's approximately 0.9772.

So, the probability of the sample mean being between 21 and 22 inches is:

P(21 ≤ X ≤ 22) = P(Z₂) - P(Z₁) ≈ 0.9772 - 0.5 = 0.4772

Therefore, the probability of the sample mean being between 21 and 22 inches is approximately 47.72%.

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To find the value of K, we need to integrate the pdf over all possible values of X and set the result equal to 1, since the pdf must sum to 1 over the entire domain. Integrating fx(x) from negative infinity to positive infinity, we get: 1 = ∫ (-∞ to ∞) Ke^(-x^2/2) dx Using the standard integral for the Gaussian function, we can simplify this to: 1 = K√(2π)

Therefore, K = 1/√(2π). Now, to determine the probability of X being negative, we need to integrate the pdf over all negative values of X and divide by the total probability (which is 1):

P(X < 0) = ∫ (-∞ to 0) fx(x) dx / ∫ (-∞ to ∞) fx(x) dx

Substituting in our value for K, this becomes:

P(X < 0) = ∫ (-∞ to 0) (1/√(2π))e^(-x^2/2) dx / ∫ (-∞ to ∞) (1/√(2π))e^(-x^2/2) dx

We can simplify this using the definition of the Q-function, which is defined as:

Q(x) = 1/√(2π) ∫ (x to ∞) e^(-t^2/2) dt Therefore: P(X < 0) = Q(∞) - Q(0) Since Q(∞) = 0 (the tail of the Gaussian function goes to zero as x approaches infinity), this simplifies to: P(X < 0) = 1 - Q(0)

We can evaluate Q(0) using the standard integral for the Gaussian function: Q(0) = 1/√(2π) ∫ (0 to ∞) e^(-t^2/2) dt

Making the substitution u = t^2/2, du/dt = t/√2, we get: Q(0) = 2/√(π) ∫ (0 to ∞) e^(-u) du

This is just the standard integral for the exponential function, so: Q(0) = 2/√(π) Substituting this back into our expression for P(X < 0),

we get: P(X < 0) = 1 - 2/√(π) Simplifying, this becomes: P(X < 0) = √(π)/√(π) - 2/√(π) P(X < 0) = (√(π) - 2)/√(π)

Therefore, the probability of X being negative in terms of the Q-function is (√(π) - 2)/√(π).

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∫[tex]cos^6 x[/tex] dx Remember the formula for the cube of a sum [tex](A + B)^3 = A^3 + 3A^2 b + 3AB^2 + B^3.[/tex]

Using the formula for the cube of a sum, we have

[tex](cos x)^6 = (cos^2 x)^3 = (1 - sin^2 x)^3[/tex]

Expanding the cube, we get

[tex](1 - sin^2 x)^3 = 1 - 3 sin^2 x + 3 sin^4 x - sin^6 x[/tex]

Now, we can integrate each term separately we get

∫[tex](1 - 3 sin^2 x + 3 sin^4 x - sin^6 x) dx[/tex]

= ∫dx - 3∫[tex]sin^2 x[/tex] dx + 3∫[tex]sin^4 x[/tex] dx - ∫[tex]sin^6 x[/tex] dx

= x + 3/2 ∫(1 - cos(2x)) dx - 3/4 ∫[tex](1 - cos(2x))^2[/tex] dx - 1/6 ∫[tex](1 - cos(2x))^3[/tex] dx

Using the power-reducing formula for [tex]cos^2 x[/tex], we have

∫[tex]cos^2 x[/tex] dx = 1/2 ∫(1 + cos(2x)) dx = 1/2(x + 1/2 sin(2x)) + C

Using this formula, we can evaluate the integrals for [tex]sin^2 x[/tex] and [tex]sin^4 x[/tex] we get

∫[tex]sin^2 x[/tex] dx = 1/2 ∫(1 - cos(2x)) dx = 1/2(x - 1/2 sin(2x)) + C

∫[tex]sin^4 x[/tex] dx = ∫[tex]sin^2 x * sin^2 x[/tex] dx = (∫[tex]sin^2 x dx)^2[/tex] = [tex](1/2(x - 1/2 sin(2x)))^2[/tex] = [tex]1/4(x - 1/2 sin(2x))^2[/tex] + C

Similarly, using the power-reducing formula for [tex]cos^2 x[/tex], we have

∫[tex]cos^2 x[/tex]dx = 1/2 ∫(1 + cos(2x)) dx = 1/2(x + 1/2 sin(2x)) + C

Using this formula, we can evaluate the integrals for [tex](1 - cos(2x))^2[/tex]and[tex](1 - cos(2x))^3[/tex]we get

∫[tex](1 - cos(2x))^2 dx[/tex]  = ∫(1 - 2cos(2x) + [tex]cos^2(2x)[/tex]) dx

= x - 1/2 sin(2x) +[tex]1/4 sin^2(2x)[/tex]+ C

∫[tex](1 - cos(2x))^2 dx[/tex]  = ∫(1 - 3cos(2x) + 3[tex]3cos^2(2x)[/tex]- [tex]cos^3(2x)[/tex]) dx

= x - 3/4 sin(2x) + 3/8 [tex]sin^2(2x)[/tex] - 1/16 [tex]sin^3(2x)[/tex] + C

Putting everything together, we get

∫[tex]cos^6 x[/tex] dx = x + 3/2(∫dx - ∫cos(2x) dx) - 3/4(∫dx - ∫cos(2x) dx + ∫(1 + cos(4x)) dx) - 1/6(∫dx - ∫cos(2x) dx + ∫(1 + cos(4x) + [tex]cos^2(6x)) dx)[/tex]

= x + 3/2x - 3/4x + 3/8 sin(2x) - 1/6x + 1/24 sin(4x)

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In quantitative research, rigor refers to the amount of control and precision exerted by the methodology used. Option (3) is the correct answer.

It involves ensuring that the research is conducted in a systematic and structured manner, with strict adherence to established procedures and protocols. Rigor is achieved by carefully defining research variables, selecting appropriate data collection methods, and using statistical analyses to ensure the accuracy and reliability of the data. The aim is to minimize bias and error in the research process so that the findings can be considered trustworthy and generalizable to a broader population.

Rigorous quantitative research requires careful planning, attention to detail, and a high level of technical expertise. The process of synthesizing findings to form conclusions from a study is also an important aspect of rigor, as it involves carefully interpreting the data in light of the research questions and hypotheses. In summary, rigor in quantitative research involves the highest level of control and precision in all aspects of the research process, from design to analysis and interpretation.

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The value of derivative f'(x) is 8, f(x+h) is -5 + 8x + 8h and  limit of (f(x+h) - f(x))/h as x approaches infinity is 8.

The derivative of f(x) is f'(x), which is the rate of change of f(x) with respect to x.

f(x) = -5 + 8x

f'(x) = d/dx[-5 + 8x] = 8

So, derivative f'(x) = 8.

(b) f(x+h) = -5 + 8(x+h) = -5 + 8x + 8h

(c) We need to find the value of limit as x approaches infinity

[tex]lim_{x- > \infty } \frac{(f(x+h)-(f(x))}{h}[/tex]

[tex]lim_{x- > \infty } \frac{(-5+8x+8h-(-5+8x)}{h}[/tex]

[tex]lim_{x- > \infty } \frac{(8h)}{h}[/tex]

= 8

Therefore, the value of f'(x) is 8, f(x+h) is -5 + 8x + 8h and  limit of (f(x+h) - f(x))/h as x approaches infinity is 8.

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As a result, 16% of the time, the sample's mean weight will be higher than 613 grammes. We calculate the answer as 613 grammes by rounding to the closest gramme.

A mathematical equation is a formula that connects two claims and uses the equals symbol (=) to denote equivalence. An equation in algebra is a mathematical statement that establishes the equivalence of two mathematical expressions. For instance, in the equation 3x + 5 = 14, the equal sign places a space between the variables 3x + 5 and 14. The relationship between the two sentences that are written on each side of a letter may be understood using a mathematical formula. The symbol and the single variable are frequently the same. as in, 2x - 4 equals 2, for instance.

According to the Central Limit Theorem, a sample of 26 fruits will have a distribution of sample means that is likewise normal, with a mean of 598 grammes and a standard deviation of 34/sqrt(26) grammes.

The z-score for the 82nd percentile may be calculated using a conventional normal distribution table or calculator and is around 0.91.

We therefore have:

0.91 = (x - 598) / (34 / sqrt(26))

After finding x, we obtain:

x = 598 + 0.91 * (34 / sqrt(26)) ≈ 613

As a result, 16% of the time, the sample's mean weight will be higher than 613 grammes. We calculate the answer as 613 grammes by rounding to the closest gramme.

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B = 5/2, and the particular solution is:

[tex]y_p = (5/2)x^2e^{(-3x)[/tex]

C = 15/8, and the particular solution is:

[tex]y_p = (15/8)x^2e^{(4x)[/tex]

E = 1, and the particular solution is:

[tex]y_p = e^{(2x)[/tex]

The particular solution is [tex]y = -3/4 + Ce^{(-3/2)x,[/tex] where C is a constant determined by the initial conditions.

To solve for the particular solution of [tex](D+3)'y=15x^2e^{(-3x)[/tex], we first need to find the homogeneous solution by solving[tex](D+3)y_h = 0:[/tex]

[tex](D+3)y_h = 0[/tex]

[tex]y_h = Ae^{(-3x)[/tex]

The exponential shift method by assuming a particular solution of the form[tex]y_p = Bx^2e^{(-3x)[/tex]:

[tex](D+3)(Bx^2e^{(-3x)}) = 15x^2e^{(-3x)[/tex]

[tex](6B-15)x^2e^{(-3x)} = 15x^2e^{(-3x)[/tex]

B = 5/2, and the particular solution is:

[tex]y_p = (5/2)x^2e^{(-3x)[/tex]

So, the general solution is:

[tex]y = y_h + y_p = Ae^{(-3x)} + (5/2)x^2e^{(-3x)[/tex]

To solve for the particular solution of[tex](D-4)'y=15x^2e^{(4x)[/tex], we first need to find the homogeneous solution by solving[tex](D-4)y_h = 0:[/tex]

[tex](D-4)y_h = 0[/tex]

[tex]y_h = Be^{(4x)[/tex]

Now, we use the exponential shift method by assuming a particular solution of the form[tex]y_p = Cx^2e^{(4x)[/tex]:

[tex](D-4)(Cx^2e^{(4x)}) = 15x^2e^{(4x)[/tex]

[tex](8C-15)x^2e^{(4x)} = 15x^2e^{(4x)[/tex]

C = 15/8, and the particular solution is:

[tex]y_p = (15/8)x^2e^{(4x)[/tex]

So, the general solution is:

[tex]y = y_h + y_p = Be^{(4x)} + (15/8)x^2e^{(4x)[/tex]

To solve for the particular solution of[tex](D^2-2)^2y=16e^{(2x)[/tex], we first need to find the homogeneous solution by solving [tex](D^2-2)^2y_h = 0[/tex]:

[tex](D^2-2)^2y_h = 0[/tex]

[tex]y_h = (A+Bx)e^{\sqrt(2)x} + (C+Dx)e^{(-\sqrt(2)x)[/tex]

Now, we use the exponential shift method by assuming a particular solution of the form [tex]y_p = Ee^{(2x):[/tex]

[tex](D^2-2)^2(Ee^{(2x)}) = 16e^{(2x)[/tex]

[tex]16Ee^{(2x)} = 16e^{(2x)[/tex]

E = 1, and the particular solution is:

[tex]y_p = e^{(2x)[/tex]

So, the general solution is:

[tex]y = y_h + y_p = (A+Bx)e^{\sqrt(2)x} + (C+Dx)e^{(-\sqrt(2)x)} + e^{(2x)}[/tex]

To solve for the particular solution of[tex](D'D+3)y=9e^{(-3x),[/tex] we first need to find the homogeneous solution by solving [tex](D'D+3)y_h = 0:[/tex]

[tex](D'D+3)y_h = 0[/tex]

[tex]y_h = Acos(\sqrt(3)x) + Bsin(\sqrt(3)x)[/tex]

Now, we use the exponential shift method by assuming a particular solution of the form [tex]y_p = Ce^{(-3x)[/tex]:

[tex](D'D+3)(Ce^{(-3x)}) = 9e^{(-3x)[/tex]

[tex]0 = 9e^{(-3x)[/tex]

This is a contradiction, so we need to modify our assumption

[tex]Du + 3/2u = 9/2e^{(-3x)[/tex]

This is a first-order linear differential equation with integrating factor [tex]e^{(3/2)x[/tex]:

[tex]e^{(3/2)x}(Du + 3/2u) = e^{(3/2)x}(9/2)e^{(-3x)[/tex]

Integrating both sides:

[tex]e^{(3/2)x}u = -3/4e^{(-3x)} + C[/tex]

Multiplying both sides by [tex]e^{(-3/2)x[/tex]:

[tex]y = u = -3/4 + Ce^{(-3/2)x[/tex]

The particular solution is [tex]y = -3/4 + Ce^{(-3/2)x,[/tex]where C is a constant determined by the initial conditions.

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Required value of angle R is 21°.

What is the relationship between the angle of circumference and angle of centre of circles?

Following is the relationship between angle of an arc on that circle and the angle of the center of a circle,

1)We can say that the angle of an arc is half the angle at the center that it deleted.

2) Or we can say oppositely the angle at the center of a circle is twice the angle of the arc that it subtends.

The measure of an arc is proportional to the measure of the angle it subtends and that the angle at the center of a circle is always twice the angle formed by any two points on the circumference of the circle that are connected to the center This relationship is based on the fact that.

Here, angle of circumference is angle R and angle of centre is angle P.

According to their relationship,

angle P = 2 × angle R

15x+3 = 2 × ( 10x-3)

We are Simplifying,

15x+3 = 20x-6

20x-15x = 3+6

5x = 9

x = 9/5

So, required angle R = 10x + 3 = 10×(9/5)+3 = 21

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A survey was recently conducted in which 650 BU students were asked about their web browser preferences. Of all the students asked, 461 said that they sometimes use Firefox. 72 of the students said that they never use Chrome or Firefox. 12 of the Firefox users stated that they never use Chrome. Given that a person uses Chrome, 20.67% is the probability that the person never uses Firefox.

To find the probability that a person never uses Firefox given they use Chrome, we first need to determine the number of students who use Chrome and then find the number of those students who never use Firefox. Let's follow these steps:
1. Find the total number of students who never use Chrome or Firefox: 72 students
2. Find the total number of students who use Firefox: 461 students
3. Of these Firefox users, find the number who never use Chrome: 12 students
4. Since there are 650 students in total, find the number of students who use Chrome: 650 - 72 (students who never use either browser) - 12 (Firefox users who never use Chrome) = 566 students
5. Subtract the number of Firefox users from the total number of students to find the number of students who never use Firefox: 650 - 461 = 189 students
6. Now, find the number of Chrome users who never use Firefox: 189 - 72 (students who never use either browser) = 117 students
7. Finally, calculate the probability of a Chrome user never using Firefox: divide the number of Chrome users who never use Firefox (117) by the total number of Chrome users (566): 117 / 566 ≈ 0.2067
Therefore, the probability that a person never uses Firefox given that they use Chrome is approximately 0.2067 or 20.67%.

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The equation has a double root at x = 2, this means the tangent line intersects the curve only at P(2, 10).

Therefore, Q does not exist in this case.

To find the coordinates of Q, we need to determine the equation of the tangent line at point P(2, 10) and then find the point where this tangent line intersects the curve [tex]y = x^2 + 3x[/tex]  again.
Differentiate y with respect to x to find the slope of the tangent line.
[tex]y = x^2 + 3x[/tex]
dy/dx = 2x + 3
Find the slope of the tangent line at P(2, 10).
dy/dx at P = 2(2) + 3 = 7
Use the point-slope form to find the equation of the tangent line.
y - y1 = m(x - x1)
y - 10 = 7(x - 2)
Simplify the equation.
y - 10 = 7x - 14
y = 7x - 4
Find the intersection between the tangent line and the curve by setting the equations equal.
[tex]x^2 + 3x = 7x - 4[/tex]
Solve for x.
[tex]x^2 - 4x + 4 = 0[/tex]
(x - 2)(x - 2) = 0
We already know P(2, 10) is one of the intersection points.

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The differential of the given function when y = f(x) and f(x) = 4x² + 8x is given by dy = (8x + 8)dx.

Function is equal to,

y = f(x)

And f(x) = 4x² + 8x

The differential of the function y = f(x) = 4x² + 8x,

Take the derivative of y with respect to x, which is equal to,

dy/dx = 8x + 8

This gives us the rate of change of y with respect to x.

The differential of y by multiplying both sides by dx ,

dy = (8x + 8)dx

Therefore, the differential of the function y = 4x² + 8x is equal to

dy = (8x + 8)dx

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The above question is incomplete, the complete question is:

Let y = f(x), where f(x) = 4x² + 8x .Find the differential of the function dy =.

Answer:

The volume of the 2 and 1/4 box is 729/64 cubic inches.

Step-by-step explanation:

Volume of a Box

What is the volume of a 2 and 1/4 box

To calculate the volume of a box, you need to multiply its length, width, and height together. If the box has dimensions of 2 and 1/4, we need to convert the mixed number to an improper fraction.

2 and 1/4 = 9/4

Let's assume that the dimensions of the box are in inches. So, if the length of the box is 2 and 1/4 inches, its length in inches would be 9/4 inches.

Similarly, let's assume that the width and height of the box are also 2 and 1/4 inches, which means their measurements in inches would also be 9/4 inches.

Now we can calculate the volume of the box as:

Volume = Length x Width x Height

Volume = (9/4) x (9/4) x (9/4)

Volume = 729/64 cubic inches

Answer:

Step-by-step explanation:

You want to find the true statements describing the graph of f(x) = (x -3)² -1.

The function is written in vertex form:

  f(x) = a(x -h)² +k . . . . . . . vertex (h, k)

Comparing to this form, we see the vertex is

  (h, k) = (3, -1)

The value of "a" is 1, so the graph opens upward. This means it is decreasing for x-values less than 3, It also means the range is upward from -1.

A z-test was conducted to determine if community college students who lived on their own took more time to earn an AA. The results showed that the sample of 36 students who lived on their own took an average of 3.8 years (SD = 0.453) to earn their AA, which was significantly longer than the population mean of 3.3 years, z = 2.58, p = 0.005 (one-tailed). Therefore, there is sufficient evidence to support the chancellor's theory that students who live on their own take longer to graduate.

For this scenario, the appropriate way to finish reporting the results in APA format depends on the type of hypothesis test used.
If a one-sample t-test was used to test the hypothesis, the appropriate way to finish reporting the results in APA format would be:
A one-sample t-test was conducted to determine if community college students who lived on their own took more time to earn an AA. The results showed that the sample of 36 students who lived on their own took an average of 3.8 years (SD = 0.453) to earn their AA, which was significantly longer than the population mean of 3.3 years,

t(35) = 3.26, p = 0.002 (one-tailed).

Therefore, there is sufficient evidence to support the chancellor's theory that students who live on their own take longer to graduate.
If a z-test was used to test the hypothesis, the appropriate way to finish reporting the results in APA format would be:
A z-test was conducted to determine if community college students who lived on their own took more time to earn an AA. The results showed that the sample of 36 students who lived on their own took an average of 3.8 years (SD = 0.453) to earn their AA,

which was significantly longer than

the population mean of 3.3 years,

z = 2.58, p = 0.005 (one-tailed).

Therefore, there is sufficient evidence to support the chancellor's theory that students who live on their own take longer to graduate.

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The area of the trapezoid is 3.2 m².

A trapezoid is a quadrilateral  that has exactly one pair of parallel sides. Therefore, let's find the area of the trapezoid as follows:

area of the trapezoid = 1 / 2 (a + b)h

where

Therefore,

a = 1.2 m

b = 2.8 m

sin 45 = h / 2.3

cross multiply

h = 2.3 sin 45

h = 2.3 × 0.70710678118

h = 1.62634559673

h = 1.6

Therefore,

area of the trapezoid = 1 / 2 (a + b)h

area of the trapezoid = 1 / 2 (1.2 + 2.8)1.6

area of the trapezoid = 1 / 2 (4.0)1.6

area of the trapezoid = 3.2 m²

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Answer:

68

Step-by-step explanation:

54 + c2

substitute c = 7 in the equation

54 +(7)2

54+14

=68

The steady state temperature distribution is:

u(x) = -4.5x + 18

Now, For determine the steady state temperature distribution u(x), we can start by assuming that the temperature of the rod is not changing with time, that is,

⇒ au/dt = 0.

This implies that the left-hand side of the partial differential equation simplifies to 0.

Hence, We can then rearrange the equation and integrate twice to obtain:

u(x) = C₁ x + C₂

where C₁ and C₂ are constants of integration.

Thus, To determine these constants, we can use the boundary conditions:

u(0,t) = 18

C₂ = 18

And, u(4,t) = 0

C₁ = (4) + 18 = 0,

C₁ = -4.5

Therefore, the steady state temperature distribution is:

u(x) = -4.5x + 18

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We get that 636 voters should be sampled for a 90% confidence interval.

The Central Limit Theorem is a cornerstone of statistics, and it states that regardless of the population's underlying distribution, as sample size grows, the distribution of sample means of independent variables with similar distributions approaches a normal distribution. In other words, the Central Limit Theorem offers a method for approximating population behavior by examining sample behavior.

This theorem is significant because it enables statisticians to draw conclusions about a population from a sample, despite the fact that the population's distribution may be obscure or intricate.

The sample size for the distribution is given by:

[tex]n = (z* / E)^2 * p * (1 - p)[/tex]

Now, substituting the values we have:

[tex]n = (1.645 / 0.0334)^2 * 0.5 * (1 - 0.5) = 635.84[/tex]

Hence, We get that 636 voters should be sampled for a 90% confidence interval.

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The x-coordinate of the point of inflection is 9/4.

The interval on the left of the inflection point is 9/4 and on the function is concave down at (-∞, 9/4).

The interval on the right of the inflection point is 9/4 and on the function is concave up at (9/4, ∞).

In the given question we have to determine the intervals on which the given function is concave up or down and find the point of inflection.

The given function is:

f(x) = x(x−4√x)

Firstly finding the first and second derivatives.

f(x) = x^2−4x^{3/2}

f'(x) = 2x−4*3/2*x^{1/2}

f'(x) = 2x−6x^{1/2}

f''(x) = 2−6*(1/2)*x^{−1/2}

f''(x) = 2−3x^{−1/2}

Now finding the inflection point by equating the second derivative equal to zero.

f''(x) = 0

2−3x^{−1/2} = 0

After solving

x = 9/4

For left half of the number line of 9/4, f''(x)<0. So, the function is concave down in (-∞, 9/4).

For left right of the number line of 9/4, f''(x)>0. So, the function is concave up in (9/4, ∞).

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complete question:

Determine the intervals on which the given function is concave up or down and find the point of inflection. Let f(x) = x(x−4√x)

The x-coordinate of the point of inflection is: ____

The interval on the left of the inflection point is: ____ , and on this interval f is: __ concave up? or down? __

The interval on the right is: ____ , and on this interval f is: __ concave up? or down? __

The price elasticity of demand at x=15 is -1.5, indicating elastic demand. The revenue function is R(x) = x(700 - 3x), with elastic intervals (0, 116.67) and inelastic intervals (116.67, ∞).

To find the price elasticity of demand, we first need to compute the derivative of the demand function with respect to x (p'(x)). The demand function is p = 700 - 3x, so p'(x) = -3.

Now, we can compute the price elasticity of demand (E) using the formula: E = (p'(x) * x) / p(x). At x=15, we have p(15) = 700 - 3(15) = 655. Plugging the values into the formula, we get E = (-3 * 15) / 655 = -1.5.

Since E < -1, the demand is elastic at x=15.

For the revenue function, we use R(x) = x * p(x), which gives R(x) = x(700 - 3x). To find the intervals of elasticity and inelasticity, we set |E| = 1 and solve for x: |-3x/ (700-3x)| = 1. Solving for x, we find x ≈ 116.67. Hence, the intervals are elastic for (0, 116.67) and inelastic for (116.67, ∞).

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The probability that a student scores higher than a Credit (C) in this large statistics course can be calculated by adding the probabilities of getting a Distinction (D) or High Distinction (HD): P(D) + P(HD) = 0.15 + 0.35 = 0.50

In the given distribution for the large statistics course, the probabilities for each grade category are as follows:

- Fail (Z): 0.15
- D: 0.05
- C: 0.20
- P: 0.30
- HD: 0.30

To find the probability that a student scores higher than a Credit (C), you need to add the probabilities of the categories above C, which are D and HD.

Probability (Score > C) = Probability (D) + Probability (HD) = 0.05 + 0.30 = 0.35

Therefore, the probability that a student scores higher than a Credit (C) is 0.35.

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