A pizza owner asked 50 customers to taste a new type of topping and found that 40 people liked its taste Which of these is an example of descriptive statistics?
A. 80% of the people in the city where the pizza shop is located like the taste of the pizza topping
B. 80% of all the pizza shop's customers like the taste of the pizza topping,
C. 80% of all people like the taste of the pizza topping,
D. 80% of the surveyed customers like the taste of the pizza topping.

The program area that is NOT included in the Sigma Phi Delta Efficiency Contest is D. Fraternal Events.

The Efficiency Contest is focused on improving chapter operation through the program areas of Brotherhood Development, Academic Achievement, Pledge Education, Chapter Operations, and Community Service.

The other options (A. Brotherhood Development, B. Academic Achievement, C. Pledge Education, and E. Chapter Operations) are all part of the Efficiency Contest's program areas.

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Answer:

The answer is m = 2 .

Step-by-step explanation:

14 - 3m = 4m

14 = 4m + 3m

14 = 7m

14/7 = m

2 = m

m = 2

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Answer:

 43.3.

Step-by-step explanation:

· The area is approximately 43.3. The precise answer is 25 × √3. To get this answer, recall the formula for the area of an equilateral triangle of side a reads area = a2 …

The probability of observing 13 or more successes out of 15 trials, assuming no difference in preference between Simply Significant and Starbucks coffee, is 0.9437.

Assuming a null hypothesis that there is no difference in preference between Simply Significant and Starbucks coffee, the number of successes (preferred Simply Significant coffee) out of 15 trials follows a binomial distribution with parameters n=15 and p=0.5 (under the null hypothesis).

To calculate the probability of observing 13 or more successes, we can use the cumulative distribution function (CDF) of the binomial distribution:

P(X ≥ 13) = 1 - P(X < 13)

Using a binomial calculator or statistical software, we can find:

P(X < 13) = 0.0563

Therefore,

P(X ≥ 13) = 1 - P(X < 13) = 1 - 0.0563 = 0.9437

So the probability of observing 13 or more successes out of 15 trials, assuming no difference in preference between Simply Significant and Starbucks coffee, is 0.9437.

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P(T > k | S10 = s, T2 > k) = P(T > k | S2 ≤ s) * P(T2 > k | S1 ≤ s, S2 ≤ s).

Note that P(T2 > k | S1 ≤ s, S2 ≤ s) = (1 - P(S1+S2 > s))^(

Here is an answer to your second question:

We are given that Xn, n > 1 are i.i.d. random variables with P(X = 2) = 1/8, P(X = -1) = 1/2, P(X = 0) = 1/8, P(X = 1) = 1/4. We define Sn = Σi=1n 2^-i Xi, with S0 = 0. We also define T as the first index n for which Sn > 10.

To find the expected value of T, we can use the definition of conditional expectation:

E[T] = E[E[T | S10 = s]]

Given S10 = s, we want to find the expected value of T. Note that T depends only on the values of Sn for n ≤ T. Therefore, given S10 = s, we can condition on the values of S1, S2, ..., S9, and compute the conditional probability distribution of T.

Let Tj be the first index at which Sj > s for j = 1, 2, ..., 9. Note that T1 = 1 and Tj is a function of X1, X2, ..., Xj, for j = 2, 3, ..., 9. Also note that T is the minimum of T1, T2, ..., T9.

To compute the conditional probability distribution of T given S10 = s, we can use the following observations:

If Tj > T for some j, then Sn ≤ s for all n ≤ Tj. Therefore, we have P(T > k | Tj > k) = P(T > k | Sj ≤ s) for all k > j.

If Tj ≤ T for all j, then Sn > s for all n ≤ T. Therefore, we have P(T > k | Tj > k for some j) = P(T > k | Sn > s) for all k.

Using these observations, we can compute the conditional probability distribution of T given S10 = s as follows:

If T1 > T, then T > Tj for all j, and we have

P(T > k | T1 > k) = P(T > k | S1 ≤ s) for all k > 1.

Therefore, by the law of total probability,

P(T > k | S10 = s, T1 > k) = P(T > k | S1 ≤ s) * P(T1 > k | S1 ≤ s).

Note that P(T1 > k | S1 ≤ s) = (1 - P(S1 > s))^(k-1) * P(S1 > s), since T1 is a geometric random variable with parameter P(S1 > s).

If T1 ≤ T and T2 > T, then T > Tj for j = 2, 3, ..., 9, and we have

P(T > k | T2 > k) = P(T > k | S2 ≤ s) for all k > 2.

Therefore,

P(T > k | S10 = s, T2 > k) = P(T > k | S2 ≤ s) * P(T2 > k | S1 ≤ s, S2 ≤ s).

Note that P(T2 > k | S1 ≤ s, S2 ≤ s) = (1 - P(S1+S2 > s))^(

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Hi! I'd be happy to help you with two examples of multigrid methods for linear systems.

1. Geometric Multigrid Method (GMG): This is a numerical method that efficiently solves linear systems arising from the discretization of partial differential equations (PDEs). It employs a hierarchy of grids and combines coarse-grid correction with fine-grid relaxation to accelerate convergence.

2. Algebraic Multigrid Method (AMG): This is another approach to solve large linear systems, particularly those originating from PDE discretizations. Unlike GMG, AMG does not require any geometric information. It automatically generates a hierarchy of coarser grids by analyzing the structure of the given linear system, making it suitable for unstructured grids or problems without an evident geometric background.

Both methods are effective in solving linear systems with high efficiency and have various applications in areas like computational fluid dynamics, structural mechanics, and image processing.

Two examples of multigrid methods for the linear system are the geometric multigrid method and the algebraic multigrid method.

1. Geometric Multigrid Method (GMG): This is a numerical method that efficiently solves linear systems arising from the discretization of partial differential equations. It employs a hierarchy of grids and combines coarse-grid correction with fine-grid relaxation to accelerate convergence.

2. Algebraic Multigrid Method (AMG): This is another approach to solving large linear systems, particularly those originating from PDE discretizations. Unlike GMG, AMG does not require any geometric information. It automatically generates a hierarchy of coarser grids by analyzing the structure of the given linear system, making it suitable for unstructured grids or problems without an evident geometric background.

Both methods are effective in solving linear systems with high efficiency and have various applications in areas like computational fluid dynamics, structural mechanics, and image processing.

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P = $1250 (rounded to the nearest cent). The principal was $1250.

What is algebra?

Algebra is a branch of mathematics that deals with mathematical operations and symbols used to represent numbers and quantities in equations and formulas. It involves the study of variables, expressions, equations, and functions.

We can use the simple interest formula to solve this problem:

I = Prt

where I is the interest earned, P is the principal, r is the annual interest rate (as a decimal), and t is the time in years.

Since the interest is simple, we can calculate the interest earned over 8 months as:

I = Pr(8/12)

where 8/12 represents 8 months as a fraction of a year.

We are given that the interest rate is 6%/year, so r = 0.06. We are also given that the total amount after 8 months is $1300, so we can set up an equation to solve for P:

P + I = $1300

Substituting in the values we have:

P + P0.06(8/12) = $1300

Simplifying:

P*(1 + 0.06*(8/12)) = $1300

P*(1 + 0.04) = $1300

P*1.04 = $1300

P = $1300/1.04

P = $1250 (rounded to the nearest cent)

Therefore, the principal was $1250.

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To provide a 95% confidence interval with a margin of error of 0.05, a sample size of 307 should be taken.

To determine the sample size needed for a 95% confidence interval with a margin of error of 0.05, given the planning value for the population proportion p* = 0.27, we can follow these steps:

1. Identify the desired confidence level (z-score): Since we are looking for a 95% confidence interval, we can use the z-score for 95%, which is 1.96.

2. Determine the planning value (p*): In this case, p* = 0.27.

3. Calculate q* (1 - p*): q* = 1 - 0.27 = 0.73.

4. Identify the margin of error (E): E = 0.05.

5. Use the formula for sample size (n): n = (z^2 * p * q) / E^2, where z = z-score, p = p*, q = q*, and E = margin of error.

6. Plug in the values: n = (1.96^2 * 0.27 * 0.73) / 0.05^2.

7. Calculate the result: n ≈ 306.44.

8. Round up to the nearest whole number: n = 307.

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With a 10% margin of error in either direction, the price range for replacing the hot water boiler is $7,470 to $9,130.

To provide a margin of error of 10% in each direction, we need to calculate the high and low range by adding and subtracting 10% of the current cost from the current cost itself.

To calculate the high range, we can add 10% of the current cost to the current cost:

High range = $8,300 + (10% of $8,300)

High range = $8,300 + $830

High range = $9,130

To calculate the low range, we can subtract 10% of the current cost from the current cost:

Low range = $8,300 - (10% of $8,300)

Low range = $8,300 - $830

Low range = $7,470

Therefore, the price range for replacing the hot water boiler with a margin of error of 10% in each direction is between $7,470 and $9,130.

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If the  teacher explained that you can estimate how far away a lightning strike is by counting the number of seconds.

A linear function is used to calculate how far away lightning is depending on how long it takes to hear thunder.

The function is represented by the equation:

Distance = Time × Speed

Where:

Distance is measured in miles

Speed is measured in miles per second =  1 mile per 5 seconds

Time is measured in seconds as the duration of the thunderclap.

The equation is

Distance  = (1/5) x time

Therefore the equation for the function is g(x) = 1/5x.

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4b^2 - 4ac < 0

b^2 - ac < 0

This is the condition for a hyperbola.

The previous problem, which is not included in the question, likely involves finding the eigenvalues of the matrix associated with the quadratic form given by the equation ax^2 + 2bxy + cy^2 = 1. Once we have the eigenvalues, we can determine the type of conic section represented by the equation.

Let λ1 and λ2 be the eigenvalues of the matrix associated with the quadratic form. Then we have the following cases:

λ1 and λ2 are both positive: In this case, the matrix is positive definite and the conic section is an ellipse.

λ1 and λ2 are both negative: In this case, the matrix is negative definite and the conic section is an ellipse.

λ1 and λ2 are both zero: In this case, the matrix is degenerate and the conic section is a pair of intersecting lines.

λ1 and λ2 have opposite signs: In this case, the matrix is indefinite and the conic section is a hyperbola.

Now, let's consider the discriminant of the quadratic form:

b^2 - 4ac

If this quantity is positive, then the eigenvalues have opposite signs and the conic section is a hyperbola. If it is negative, then the eigenvalues have the same sign and the conic section is an ellipse. If it is zero, then the conic section is a pair of intersecting lines.

So, for the equation ax^2 + 2bxy + cy^2 = 1, we have:

b^2 - 4ac = 4b^2 - 4ac

If this quantity is positive, then we have:

4b^2 - 4ac > 0

b^2 - ac > 0

This is the condition for an ellipse.

If this quantity is negative, then we have:

4b^2 - 4ac < 0

b^2 - ac < 0

This is the condition for a hyperbola.

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The sample space for rolling a fair seven - sided die is A. S = {1, 2, 3, 4, 5, 6, 7}.

To identify all probable results within a random experiment, we use a sample space. Rolling a seven-sided dice is one such experiment, which would entail as its possible outcomes the characters 1 through 7 representing each face of the die.

Claiming 8, an impossible outcome in this scenario, invalidates Option 2. Meanwhile, Option 3 lays emphasis on only a single feasible result among the seven possible outcomes realized from rolling a seven-sided die, and subsequently falls short of providing a complete list. Precisely put, when you roll the said dice, there will exist seven credible outcomes rather than one singular possibility.

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The 3 year CLV of a current print edition customer is $22,560, taking into consideration those that will choose print only (24 month) and those that choose to add the digital edition (who then drop the print after 16 months).

To calculate the 3 year CLV of a current print edition customer, we need to consider two scenarios: those who choose print only and those who add the digital edition.

For those who choose print only, the CLV is calculated as follows:
CLV = (monthly rate - variable cost) x average lifespan x retention rate
CLV = ($27 - $16) x 24 months x 1
CLV = $264

For those who add the digital edition, the CLV is calculated as follows:
CLV = (monthly rate - variable cost) x average lifespan x retention rate
CLV = ($16 - $0) x 16 months x 0.5
CLV = $128

To calculate the total CLV, we need to take into account the 30% of print edition subscribers who also order the website subscription. Assuming a total of 100 print edition subscribers, 30 of them will also order the website subscription.

Total CLV = (print only CLV x 70) + (digital edition CLV x 30)
Total CLV = ($264 x 70) + ($128 x 30)
Total CLV = $18,720 + $3,840
Total CLV = $22,560

Therefore, we can state that the 3 year CLV of a current print edition customer is $22,560, taking into consideration those that will choose print only (24 month) and those that choose to add the digital edition (who then drop the print after 16 months).

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For two Vertical angles say Angle 1 and angle 2, with measure expression of angle 1 = 7x+20 and angle 2 = 9x-14, the measure of angle 2 is equals to 139°.

Vertical angles are pair angles formed two lines meet each other at a point. Vertically opposite angles is another name of vertical angles because the angles are opposite to each other. They are always equal. In above figure 1° and 2° are vertical angles. We have, a pair of vertically opposite angles, angle 1 and angle 2. The measure of angle 1 = 7x + 20.

The measure of angle 2 = 9x - 14. We have to determine measure of angle 2. Vertical angles are always equal, so measure of angle 1 = measure of angle 2

=> [tex]7x + 20 = 9x - 14[/tex].

Solve the expression, 9x - 7x = 20 + 14

=> 2x = 34

=> x = 17

So, measure of angle 2 = 9x - 14 = 9 × 17 - 14 = 153 - 14 = 139°

Measure of angle 1 = 139°. hence, required measure of angle is 139°.

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The derivative of y with respect to t is simply 1.

To eliminate the parameter t and express y in terms of x, we can solve for t in terms of x from the second equation:

x = 3t - 1

3t = x + 1

t = (x + 1)/3

Substituting this expression for t into the first equation, we get:

y = (x + 1)/3

Now we can differentiate y with respect to t and use the chain rule:

dy/dt = dy/dx * dx/dt

Since y is now expressed as a function of x, we can differentiate it with respect to x:

dy/dx = 1/3

And from the second equation, we have:

dx/dt = 3

Therefore:

dy/dt = (dy/dx) * (dx/dt) = (1/3) * 3 = 1

So the derivative of y with respect to t is simply 1.

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f(0)(-1) = 2

f(1)(-1) = 4

f(2)(-1) = 6

First, let's find the first three derivatives of f(x):

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

f'(x) = 6x + 2

f''(x) = 6

Now, we can use the formula for the degree 2 Taylor polynomial at x = a = -1:

p2(x) = f(a) + f'(a)(x-a) + f''(a)(x-a)^2/2

Plugging in a = -1 and the derivatives we found above, we get:

p2(x) = f(-1) + f'(-1)(x+1) + f''(-1)(x+1)^2/2

p2(x) = (3(-1)^2 + 2(-1) + 2) + (6(-1) + 2)(x+1) + 6(x+1)^2/2

p2(x) = 3 - 4(x+1) + 3(x+1)^2

Therefore, the degree 2 Taylor polynomial of f(x) at x = -1 is p2(x) = 3 - 4(x+1) + 3(x+1)^2.

To find the desired derivatives at x = -1:

f(0)(-1) = 2

f(1)(-1) = 4

f(2)(-1) = 6

Therefore, the degree 2 Taylor polynomial of f(x) at x = -1 is:

p2(x) = 3 - 4(x+1) + 3(x+1)^2

And the derivatives at x = -1 are:

f(0)(-1) = 2

f(1)(-1) = 4

f(2)(-1) = 6

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The intervals over which  it is increasing or decreasing is:

Increasing on: ([tex]-\infty[/tex], -1)

Decreasing on: (-1, [tex]\infty[/tex])

The definitions for increasing and decreasing intervals are given below.

The function is :

[tex]f(x)=-x^2-2x+3[/tex]

We have to find the interval of function is decrease/increase .

Now, We have to first differentiate with respect to x , then:

f'(x) = - 2x + 2

This derivative is never 0 for real x.

In order to determine the intervals over which  it is increasing or decreasing.

Increasing on: ([tex]-\infty[/tex], -1)

Decreasing on: (-1, [tex]\infty[/tex])

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The perimeter of the rectangle after dilation is 704 units.

Given that,

A rectangle with a perimeter of 16 units is dilated by a scale factor of 44.

Original perimeter = 16 units

Scale factor = 44

The formula to find the perimeter of a rectangle is,

Perimeter = 2(l + w), where l is the length and w is the width.

Let original perimeter = 2(l + w) = 16 units

When the rectangle is dilated each dimension increase to 44.

l becomes 44l and w becomes 44w.

So perimeter becomes,

New Perimeter = 2 (44l + 44w)

                         = 2 × 44 (l + w)

                         = 44 × [2(l + w)]

                         = 44 × 16

                         = 704 units

Hence the perimeter of the rectangle is 704 units.

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To determine if the claim that the average cost of a hotel room in New York is $168 per night is true, a hypothesis test can be performed using the sample mean of 25 hotels that was found to be $172.50 and a standard deviation of $15.40.

The null hypothesis for this test is that the population means is equal to $168 per night, while the alternative hypothesis is that the population mean is not equal to $168 per night. A significance level, such as 0.05, can be chosen to determine the threshold for rejecting the null hypothesis.

Using a t-test with a sample size of 25 and a known standard deviation, the test statistic can be calculated as (172.50 - 168) / (15.40 / sqrt(25)) = 1.55. The degree of freedom for this test is 24.

Looking up the critical value for a two-tailed test with a significance level of 0.05 and 24 degrees of freedom gives a value of 2.064. Since the absolute value of the test statistic is less than the critical value, we fail to reject the null hypothesis.

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Answer: 80 times total (40 times landed on heads for each coin)

The integral solution is: ∫[tex](1/(7\sqrt{(16 - x^2)))} dx = (1/112) arcsin(x/4) + C.[/tex]

To evaluate the integral ∫[tex](1/(7\sqrt{(16 - x^2)))} dx[/tex] using the substitution x = 4 sin(θ), we can start by finding dx/dθ:

dx/dθ = 4 cos(θ)

∫[tex](1/(7\sqrt{(16 - x^2)))} dx[/tex]= ∫[tex](1/(7\sqrt{(16 - 16sin^2}[/tex](θ)))) ([tex]4cos[/tex](θ)) dθ

Simplifying the denominator, we get:

∫[tex](1/(7[/tex][tex]\sqrt{(16 - 16sin^2}[/tex](θ)))) [tex](4cos[/tex](θ)) dθ = ∫[tex](1/(28cos[/tex](θ))) dθ

Now we can use the trigonometric identity cos^2(θ) = 1 - sin^2(θ) to rewrite the denominator:

∫[tex](1/(28cos[/tex](θ))) dθ = ∫[tex](1/(28[/tex]√[tex](1 - sin^2[/tex](θ)))) dθ

dx = 4 cos(θ) dθ

∫[tex](1/(28√(1 - sin^2[/tex](θ)))) dθ = ∫[tex](1/(28√(1 - (x/4)^2))) (1/4) dx[/tex]

This is the form of the integral that we can evaluate using the substitution [tex]u = x/4[/tex] and the formula for the integral of [tex]1/[/tex] √[tex](1 - u^2)[/tex], which is arcsin(u) + C.

Substituting [tex]u = x/4[/tex] and simplifying, we get:

[tex](1/112)∫(1/√(1 - (x/4)^2)) dx = (1/112) arcsin(x/4) + C[/tex]

Therefore, the solution is:

[tex]∫(1/(7√(16 - x^2))) dx = (1/112) arcsin(x/4) + C[/tex]

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Since the x-intercepts are the points where the fruit or vegetable hits the ground, their y-coordinates are 0. We can find the x-coordinate of the second x-intercept by using the fact that the path of the fruit or vegetable is a parabolic curve.

If we assume that the launch point of the fruit or vegetable is at (a, b), where a is the horizontal distance it travels and b is the initial height, then the equation of the parabolic path can be written as:

y = ax^2 + bx

To find the second x-intercept, we need to solve for x when y = 0. Thus, we have:

0 = ax^2 + bx

Factoring out x, we get:

0 = x(ax + b)

Since the x-coordinate of the first x-intercept is 0, we know that a is not equal to 0. Therefore, the only way for the equation to be true is if x = 0 or ax + b = 0. We already know that x = 0 corresponds to the first x-intercept, so we solve ax + b = 0 for x:

ax + b = 0

x = -b/a

Therefore, the x-coordinate of the second x-intercept is -b/a.

The initial height b is not given in the problem, so we cannot determine the exact coordinates of the second x-intercept.

The range of the exponential function f(x) = -3^x - 1 is given as follows:

the set of real numbers less than -1.

The function in this problem is given as follows:

f(x) = -3^x - 1.

-3^x is a reflection over the x-axis of 3^x, hence the range is composed by negative numbers, and the subtraction by 1 means that y = -1 is the horizontal asymptote, hence the range of the function is defined as follows:

the set of real numbers less than -1.

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To find the number that exceeds its square by the greatest amount, we can use these terms: "number" and "square."

Let "n" represent the number.
The square of the number is "n^2."

We are looking for the greatest difference between the number and its square, which can be represented as:

Difference (D) = n - n^2

To find the number that maximizes this difference, we can use calculus to find the critical points (where the derivative is zero or undefined). However, since you asked not to solve it, I'll provide the necessary equations for solving:

1. D = n - n^2
2. Find the derivative of D with respect to n: dD/dn

By following these steps, you can solve for the number that exceeds its square by the greatest amount.

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The alternative hypothesis is that it is more than 3 grams.

H0: σ ≤ 3

Ha: σ > 3

The null hypothesis (H0) is typically a statement of no effect or no difference, while the alternative hypothesis (Ha) is a statement of the effect or difference that we are trying to detect.

In this case, the null hypothesis is that the standard deviation of the weights of the bags of potato chips is no more than 3 grams, while the alternative hypothesis is that it is more than 3 grams.

H0: σ ≤ 3

Ha: σ > 3

where σ is the population standard deviation.

Step 2 of 3: Determine the appropriate test statistic and critical value(s) for the test.

Since the sample size is greater than 30 and the population standard deviation is unknown, we can use a t-test with (n-1) degrees of freedom. The test statistic is:

t = (s / sqrt(n-1)) / (σ0 / sqrt(n-1))

where s is the sample standard deviation, n is the sample size, and σ0 is the null hypothesis value of the population standard deviation (which is 3 grams in this case).

Under the null hypothesis, the test statistic follows a t-distribution with (n-1) degrees of freedom. To find the critical value(s) for the test at the 0.025 level of significance with 20 degrees of freedom, we need to look up the t-value that has 0.025 probability in the upper tail of the t-distribution with 20 degrees of freedom:

tα = t(0.025,20) ≈ 2.093

Step 3 of 3: Calculate the test statistic and make a decision.

Plugging in the values from the problem, we get:

t =[tex]\frac{(\frac{4.1 }{\sqrt{(21-1)} } )}{\frac{3}{\sqrt{(21-1)} } }[/tex]  ≈ 3.16

The calculated t-value is greater than the critical value, which means that we reject the null hypothesis at the 0.025 level of significance.

In other words, the evidence supports the claim that the standard deviation of the weights of the bags of potato chips is more than 3 grams, and thus the bags do not pass inspection.

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Values of a and b do the function f(x) = ax/(b + x²) have a critical point at x = 2 and x = -2 are A = 1, b = 4. The correct answer is option e. We need to find the first derivative of the function and set it equal to zero at x = 2 and x = -2.

The primary subordinate of f(x) is:

f'(x) = a(b - x²)/((b + x²)²)

Setting f'(2) = 0, we get:  a(b - 4)/((b + 4)²) =

Since a cannot be zero, we must have: b = 4

Setting f'(-2) = 0, we get: a(b - 4)/((b + 4)²) =

Since a cannot be zero, we must have: b = 4

Hence, as it were conceivable esteem for a and b could be a = 1 and b = 4.

We are able to check that this choice of a and b works by computing the moment subsidiary of f(x) and confirming that it is negative at x = 2 and x = -2, which would affirm that we have found a local maximum and a neighborhood least, separately. The moment subordinate of f(x) is:

f''(x) = 2ax(b - 3x²)/((b + x²)³)

f''(2) = -16/27 <

f''(-2) = -16/27 <

Subsequently, the proper reply is e. A = 1, b = 4.

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The total cost of tuition, books, and fees for this student when attending college for four years will be $64651

Assuming that the annual increase of $750 per year is compounded each year

we can use the formula for the future value of an annuity to calculate the total cost of tuition, books, and fees for the four years:

[tex]FV = PMT \frac{((1 + r)^n - 1)}{r}[/tex]

In this case, PMT = $15,000, r = 750/15000 = 0.05, and n = 4.

Plugging in these values, we get:

Total cost or FV = $15,000 x ((1 + 0.05)⁴ - 1) / 0.05

FV = $15,000 x(1.2155)-1)/0.05

FV = $15,000 x 0.2155/0.05

FV = $15,000 x4.31

FV = $64651

Hence, the total cost of tuition, books, and fees for this student when attending college for four years will be $64651

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The correct option is the last one:

The theoretical probability, P(brown), is 25%, and the experimental probability is 32.5%.

The theoretical probability is given by.

P  = 100%(number of brown marbles)/(total number)

Then we will get:

P  = 100%*10/40 = 25%

The experimental probability is given by the quotient between the number of times that a brown marble was pulled (13) and the total number of trials, here we have:

E = 100%*13/40

E = 32.5%

So we can see that the experimental probability is larger, and the correct option is the last one.

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Answer:

D

Step-by-step explanation:

Answer:

[tex]x = 32.637075718 cm^2[/tex]

Step-by-step explanation:

[tex]cos(40\textdegree) = \frac{25}{x}\\\\x = 25/cos(40\textdegree)\\x = 32.637075718 cm^2[/tex]