Can someone plz help me if u understand plz I beg u and care to explain if wanted

Answer:

A) $50

Step-by-step explanation:

Answer:

+$50

Step-by-step explanation:

Day #0 = $30

Day #10 = $80

80 - 30 = 50

:P

Answer:

r = 6

Step-by-step explanation:

According to the question,

4(r + 4) = 10r - 20

4r + 16 = 10r - 20

16 + 20 = 10r - 4r

6r = 36

r = 36 / 6

r = 6

The function value for f(x) depends on the value of x. The function value of f(x) can be determined as follows:

- For x < -1, f(x) = -2x - 2.

- For x ≥ 1, [tex]f(x) = x^2 + 2x - 1[/tex].

The function value for f(x) depends on the value of x. If x is less than -1, then the function f(x) can be calculated as -2x - 2. On the other hand, if x is greater than or equal to 1, then f(x) can be determined as [tex]x^2 + 2x - 1[/tex].

To summarize, the function f(x) is defined differently based on the value of x. For x values less than -1, f(x) equals -2x - 2. For x values greater than or equal to 1, f(x) is given by  [tex]x^2 + 2x - 1[/tex]

In the first paragraph,  provided a brief summary of the function value based on the given conditions. In the second paragraph, explained how the function f(x) is defined for different ranges of x.

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Answer:

C would be your answer!

Step-by-step explanation:

The correlation coefficient between X and Y for the given moments is equal to (b + c) / √(b²(1 + 2c) + 2bc²).

Y = a + bX+cX²

To find the correlation coefficient between two random variables X and Y,

Calculate their covariance and standard deviations.

Find the covariance between X and Y.

The covariance between X and Y is ,

cov(X, Y) = E[(X - E[X])(Y - E[Y])]

To calculate this, find the expected values E[X] and E[Y].

Since we are given the first four moments of X,

Use them to find the mean (E[X]) and the variance (Var[X]) of X,

E[X]

= μ

= 1

Var[X]

= E[X²] - (E[X])²

= 2 - 1²

= 2 - 1

= 1

Now let us find E[Y],

E[Y] = E[a + bX + cX²]

= a + bE[X] + cE[X²]

To calculate E[X²], use the second moment of X,

E[X²] = 2

Substituting these values, we have,

E[Y] = a + b(1) + c(2)

Now calculate the covariance,

cov(X, Y)

= E[(X - E[X])(Y - E[Y])]

= E[X·Y - X·E[Y] - E[X]·Y + E[X]·E[Y]]

= E[X·Y] - E[X]·E[Y] - E[X]·E[Y] + E[X]·E[Y]

= E[X·Y] - E[X]·E[Y]

The second moment of XY,

E[XY]

= E[(a + bX + cX²)X]

= E[aX + bX² + cX³]

= aE[X] + bE[X²] + cE[X³]

To calculate E[X³], use the third moment of X,

E[X³] = 3

Substituting these values, we have,

E[XY]

= aE[X] + bE[X²] + cE[X³]

= a(1) + b(2) + c(3)

= a + 2b + 3c

Finally, substitute the expressions for E[XY] and E[X]·E[Y] back into the covariance formula to obtain,

cov(X, Y)

= E[XY] - E[X]·E[Y]

= (a + 2b + 3c) - (1)(a + b(1) + c(2))

= a + 2b + 3c - a - b - 2c

= b + c

Next, calculate the standard deviations of X and Y.

The standard deviation of X is the square root of the variance,

σ(X)

= √Var[X]

= √1

= 1

The standard deviation of Y can be calculated as follows,

Var[Y]

= Var[a + bX + cX²]

= Var[bX + cX²]

= b²Var[X] + c²Var[X²] + 2bcCov[X, X²]

Var[X] and Var[X²] from the given moments,

Var[X] = 1

Var[X²]

= E[X⁴] - (E[X²])²

= 4 - 2²

= 4 - 4

= 0

Substituting these values, we have,

Var[Y]

= b²Var[X] + c²Var[X²] + 2bcCov[X, X²]

= b²(1) + c²(0) + 2bcCov[X, X²]

= b² + 2bcCov[X, X²]

Since Cov[X, X²] = b + c, substitute this back into the equation,

Var[Y]

= b² + 2bc(b + c)

= b² + 2b²c + 2bc²

= b²(1 + 2c) + 2bc²

The standard deviation of Y is the square root of the variance,

σ(Y)

= √Var[Y]

= √(b²(1 + 2c) + 2bc²)

Finally, calculate the correlation coefficient,

p(X, Y)

= cov(X, Y) / (σ(X) · σ(Y))

= (b + c) / (1 · √(b²(1 + 2c) + 2bc²))

= (b + c) / √(b²(1 + 2c) + 2bc²)

Therefore, the correlation coefficient between X and Y is given by (b + c) / √(b²(1 + 2c) + 2bc²).

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Answer:

636372

Step-by-step explanation:

the answer is 636372

Answer:

Well 3^17-3^15+3^13 equals 116,385,579

Now divide that by 73

So 116,385,579 ÷ 73

That equals 1,594,323

Hope this helps

Answer: 3^13*73

Step-by-step explanation:

3^17-3^15+3^13 So you factor out 3^13

=3^13(3^4-3^2+1)

3^4-3^2+1=73

3^13*73

The correct answer is option (b): [tex]e^16 - 68/3[/tex]. The approximate value of this expression is [tex]e^16 - 68/3[/tex].

To reverse the order of integration, we need to change the order of integration and rewrite the limits of integration accordingly.

The given integral is:

∫₀¹₄ ᵧ ∫⁴ x⁴e^(x²ʸ) dx dy

To reverse the order of integration, we integrate with respect to y first. The limits of integration for y are 0 to 14ᵧ. The limits of integration for x will depend on the value of y.

∫₀¹₄ ᵧ ∫⁴ x⁴e^(x²ʸ) dx dy

Let's integrate with respect to x first:

∫⁴ x⁴e^(x²ʸ) dx = [1/5 x⁵e^(x²ʸ)]⁴₀

Now we can rewrite the integral with reversed order of integration:

∫₀¹₄ dy ∫⁴₀ x⁴e^(x²ʸ) dx

Plugging in the limits of integration for x:

∫₀¹₄ dy [1/5 x⁵e^(x²ʸ)]⁴₀

Now we can evaluate the integral:

∫₀¹₄ dy [1/5 (⁴)⁵e^(⁴²ʸ) - 1/5 (⁰)⁵e^(⁰²ʸ)]

Simplifying:

∫₀¹₄ dy [1/5 (1024e^(16ʸ) - 1)]

Now integrate with respect to y:

[1/5 (1024e^(16ʸ) - 1)]¹₄

Plugging in the limits of integration for y:

[1/5 (1024e^(1614) - 1)] - [1/5 (1024e^(160) - 1)]

Simplifying:

[1/5 (1024e^(224) - 1)] - [1/5 (1024e^(0) - 1)]

[1/5 (1024e^(224) - 1)] - [1/5 (1024 - 1)]

[1/5 (1024e^(224) - 1)] - [1/5 (1023)]

[1/5 (1024e^(224) - 1)] - [204.6]

To evaluate the expression, we need the actual numerical value for e^(224). Using a calculator, we find that e^(224) is an extremely large number. Therefore, we can approximate it as e^(224) ≈ 2.4858 x 10^97.

Plugging in the value:

[1/5 (1024 x (2.4858 x 10^97) - 1)] - [204.6]

Simplifying the expression:

[2.4858 x 10^97 - 1] / 5 - 204.6

The approximate value of this expression is:

e^16 - 68/3

Therefore, the correct answer is option (b): e^16 - 68/3.

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Answer:

375

Step-by-step explanation:

500-125(25% of 500)=375

The number of options for a, b, and c that fulfill the system and produce the stated solution is unlimited.

To determine the coefficients a, b, and c such that the system of equations satisfies the given solution x = 1, y = -1, and z = 2, we can substitute these values into the equations and solve for a, b, and c.

Substituting x = 1, y = -1, and z = 2 into the first equation:

a(1) + b(-1) - 3(2) = -1

a - b - 6 = -1

Substituting x = 1, y = -1, and z = 2 into the second equation:

a(1) + 3(-1) - c(2) - 3 = 0

a - 3 - 2c - 3 = 0

a - 2c = 6

Now we have a system of two equations with two unknowns:

a - b - 6 = -1

a - 2c = 6

We can solve this system using standard techniques such as substitution or elimination.

From the first equation, we have a = b - 5. Substituting this into the second equation, we get:

(b - 5) - 2c = 6

b - 2c = 11

So we have the system:

a = b - 5

b - 2c = 11

The values of a, b, and c can be chosen arbitrarily as long as they satisfy these equations. For example, we can choose a = 0, b = 6, and c = -2, which satisfies the system of equations. However, there are infinitely many possible choices for a, b, and c that would yield the given solution.

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Answer:336cm cube

Step-by-step explanation:

12x4x7 i think im  justlearning this to

Answer: 5 1/2 (5.5)

Step-by-step explanation:

add 4 2/3 to 5/6

Answer:

201.06in²

plz mark me as brainliest

Answer:

105

Step-by-step explanation:

(-20+5)(58-65)

(-15)(-7)

105

Answer: X=8 Y=138

Step-by-step explanation:

Answer: x=2 and y=12

Step-by-step explanation:

Answer:

c

Step-by-step explanation:

a.0.05 ≤ P (χ²(17) <  (18 - 1)35.05/σ²M < χ²(0.95)(17))0.05 ≤ P (χ²(17) <  577.57/σ²M < χ²(0.95)(17))0.05 ≤ P (χ²(17) <  577.57/σ²M < 28.412)The above inequality represents the 90%

b. 0.05 ≤ P (χ²(7) <  (8 - 1)18.40/σ²F < χ²(0.95)(7))0.05 ≤ P (χ²(7) <  122.18/σ²F < χ²(0.95)(7))0.05 ≤ P (χ²(7) <  122.18/σ²F < 14.067)

The above inequality represents the 90% confidence interval estimate for sigma2F.

a. 90% confidence interval estimate for sigma2M:We are given that the sample variance is s²M=35.05 and a sample of 18 male students was asked how much they spent on textbooks. We are also given that the amount spent on textbooks is normally distributed for both the populations of male students.

Using the Chi-Square distribution, we have:  (n - 1)s²M/σ²M follows a Chi-Square distribution with n - 1 degrees of freedom.

Then,  (n - 1)s²M/σ²M ~ χ²(n - 1)For a 90% confidence interval estimate, we can write: 0.05 ≤ P (χ²(17) <  (n - 1)s²M/σ²M < χ²(0.95)(17))

Using the table of chi-square values with (n - 1) degrees of freedom, we have:χ²(0.05)(17) =  8.567χ²(0.95)(17) =  28.412

Substituting the values, we have:0.05 ≤ P (χ²(17) <  (18 - 1)35.05/σ²M < χ²(0.95)(17))0.05 ≤ P (χ²(17) <  577.57/σ²M < χ²(0.95)(17))0.05 ≤ P (χ²(17) <  577.57/σ²M < 28.412)The above inequality represents the 90%

b. confidence interval estimate for sigma2M.b. 90% con? dence interval estimate for sigma2F:Using the same concept as above, we can write: 0.05 ≤ P (χ²(7) <  (n - 1)s²F/σ²F < χ²(0.95)(7))

Using the table of chi-square values with (n - 1) degrees of freedom, we have:χ²(0.05)(7) =  3.357χ²(0.95)(7) =  14.067

Substituting the values, we have:0.05 ≤ P (χ²(7) <  (8 - 1)18.40/σ²F < χ²(0.95)(7))0.05 ≤ P (χ²(7) <  122.18/σ²F < χ²(0.95)(7))0.05 ≤ P (χ²(7) <  122.18/σ²F < 14.067)

The above inequality represents the 90% confidence interval estimate for sigma2F.

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To calculate a 90% confidence interval estimate for σ2M, the population variance of the amount spent on textbooks by male students, we use the formula below:

[tex]$$\chi_{0.05,17}^2 <\frac{(n - 1)s^2}{\sigma^2} < \chi_{0.95,17}^2$$[/tex]

where n = 18, s2M = 35.05, df = n - 1 = 17, and χα2,

df is the critical value from the chi-squared distribution with df degrees of freedom.

We know that:

[tex]$$\chi_{0.05,17}^2 = 8.909$$[/tex]

and

[tex]$$\chi_{0.95,17}^2 = 31.410$$[/tex]

Substituting these values, we have:

[tex]$$8.909 < \frac{(18-1)(35.05)}{\sigma^2} < 31.410$$[/tex]

Solving for σ2, we have:

[tex]$$\frac{(18-1)(35.05)}{31.410} < \sigma^2 < \frac{(18-1)(35.05)}{8.909}$$[/tex]

Hence, a 90% confidence interval estimate for σ2M is:

[tex]$$(48.704, 194.154)$$b.[/tex]

To calculate a 90% confidence interval estimate for σ2F, the population variance of the amount spent on textbooks by female students, we use the formula below:

[tex]$$\chi_{0.05,7}^2 <\frac{(n - 1)s^2}{\sigma^2} < \chi_{0.95,7}^2$$[/tex]

where n = 8, s2F = 18.40, df = n - 1 = 7, and χα2,

df is the critical value from the chi-squared distribution with df degrees of freedom.

We know that:

[tex]$$\chi_{0.05,7}^2 = 14.067$$[/tex] and

[tex]$$\chi_{0.95,7}^2 = 2.998$$[/tex]

Substituting these values, we have:

[tex]$$14.067 < \frac{(8-1)(18.40)}{\sigma^2} < 2.998$$[/tex]

Solving for σ2, we have:

[tex]$$\frac{(8-1)(18.40)}{2.998} < \sigma^2 < \frac{(8-1)(18.40)}{14.067}$$[/tex]

Hence, a 90% confidence interval estimate for σ2F is:

[tex]$$(7.176, 23.622)$$[/tex]

Therefore, the 90% confidence interval estimate for σ2M,

the population variance of the amount spent on textbooks by male students, is (48.704, 194.154), while the 90% confidence interval estimate for σ2F,

the population variance of the amount spent on textbooks by female students, is (7.176, 23.622).

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Answer:

$13.04

Step-by-step explanation:

First, multiply 16.89 by 1.2, 0.6, and 1.0725. You should get a weird number on your calculator saying 13.042458, but just round 2 to the 4 ( 4 stays the same) and remove all the other numbers to get $13.04

Answer:

523 inches

Step-by-step explanation:

got it right on edg

Answer:

Step-by-step explanation:

There is really only one solution which is the third choice. When you are dealing with the equation in the form of y = mx + b, the b stands for the y-intercept. So, your y-intercept equals -1. When you are finding the x-intercept you can just substitute y for 0(the definition of x-intercept is where the graph crosses the x-axis, meaning y needs to be equal to 0) and you get that x equals 1/5.

1.  the upper weight limit the kayak needs to support for the company to meet their claim is 270 pounds (rounded off to nearest pound).

2. the probability that a randomly selected rider falls into the weight range of 135-210 pounds is 0.6245 or approximately 62.45%.

3. It is important for Rogue River Kayaks to consistently look to the National Transportation and Safety Board (NTSB) to update the distribution of weights in the United States because the company needs to ensure that their kayaks can accommodate the maximum number of people possible.

As the distribution of weights in the population changes, the company needs to adjust the design of their kayaks to meet the needs of their customers.

By staying up-to-date with the latest data provided by NTSB, Rogue River Kayaks can ensure that their products remain competitive and continue to meet the needs of their customers.

1. We know that the weights of men in the United States are normally distributed with a mean (μ) of 188.6 pounds and a standard deviation (σ) of 38.9 pounds.

Using Excel, we can use the formula NORM.

INV to find the upper weight limit for the kayak to support if Rogue River Kayaks claims that they can fit 99% of men in their Boulder Buster Kayak.

The formula for NORM.

INV is =NORM.INV(probability,mean,standard deviation)

Where probability = 0.99, mean = 188.6, standard deviation = 38.9.

Thus, =NORM.INV(0.99,188.6,38.9)
= 269.60

Therefore, the upper weight limit the kayak needs to support for the company to meet their claim is 270 pounds (rounded off to the nearest pound).

2. To find the probability that a randomly selected rider falls into the ideal weight range for kayakers in the Boulder Buster, we need to find the z-scores for the given weight range and then use the standard normal distribution table.

The z-score formula is:

z = (x - μ) / σ

where x is the weight, μ is the mean and σ is the standard deviation.

For the lower weight limit of 135 pounds, the z-score is z = (135 - 188.6) / 38.9 = -1.382

For the upper weight limit of 210 pounds, the z-score is z = (210 - 188.6) / 38.9 = 0.551

Using the standard normal distribution table, we can find the probability that a z-score falls between -1.382 and 0.551.

The probability is

P(z < 0.551) - P(z < -1.382)

= 0.7088 - 0.0843

= 0.6245

Therefore, the probability that a randomly selected rider falls into the weight range of 135-210 pounds is 0.6245 or approximately 62.45%.

3. It is important for Rogue River Kayaks to consistently look to the National Transportation and Safety Board (NTSB) to update the distribution of weights in the United States because the company needs to ensure that their kayaks can accommodate the maximum number of people possible.

As the distribution of weights in the population changes, the company needs to adjust the design of their kayaks to meet the needs of their customers.

By staying up-to-date with the latest data provided by NTSB, Rogue River Kayaks can ensure that their products remain competitive and continue to meet the needs of their customers.

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Answer:

Mean = 62

Step-by-step explanation:

X = mean ± sd

82 = mean + 2(s.d) - - (1)

32 = mean - 3sd ___(2)

82 = mean + 2sd

82 - 32= 2sd + 3sd

50 = 5sd

sd = 50/5

sd = 10

From (2):

32 = mean - 3sd

32 = mean - 3(10)

32 = mean - 30

32 + 30 = mean

62 = mean

Given function is: f(x)= 9xTo find the values of the given function at the indicated values: Round off the answer to 3 decimal places.1. f(1/2).

f(1/2):

Plug x = 1/2 into the function:

f(1/2) = 9(1/2)

Simplifying, we find that f(1/2) = 4.5.

Similarly, for the remaining parts,

Substitute x = 1/2 in the given function. f(1/2) = 9 (1/2) = 4.5002. f(√6).

Substitute x = √6 in the given function. f(√6) = 9 √6 = 27.7123. f(-2). Substitute x = -2 in the given function. f(-2) = 9 (-2) = -18.0004. f(0.4).

Substitute x = 0.4 in the given function. f(0.4) = 9 (0.4) = 3.600. The required values of the given function are: f(1/2) = 4.500f(√6) = 27.712f(-2) = -18.000f(0.4) = 3.600.

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The statement "W is a subspace of M2x2" is true because W satisfies the three conditions for being a subspace.

To determine whether W is a subspace of M2x2, we need to verify three conditions:

W is non-empty: Since W is defined as the set of all 2x2 matrices with a fixed entry of 5, it contains at least one matrix (such as [[5, 5], [5, 5]]).

W is closed under addition: For any two matrices A and B in W, their sum A + B will also have the fixed entry of 5 in the corresponding position. Therefore, the sum of any two matrices in W will still be in W.

W is closed under scalar multiplication: For any matrix A in W and any scalar c, the scalar multiple cA will also have the fixed entry of 5 in the corresponding position. Hence, the scalar multiple of any matrix in W will still be in W.

Since W satisfies all three conditions, it is indeed a subspace of M2x2.

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a. In this case, since f(t) = 5, L{5} = ∫[0 to ∞] 5 * e^(-st) dt. b. the antiderivative simplifies to ∫(5 * e^(-st)) dt = (5/s) * e^(-st). c. the Laplace transform simplifies to (5/s) * (0 - 1).

A) To set up an integral for finding the Laplace transform of f(t) = 5, we can use the definition of the Laplace transform. The Laplace transform of a function f(t) is given by the integral:

L{f(t)} = ∫[0 to ∞] f(t) * e^(-st) dt

where s is the complex frequency parameter. In this case, since f(t) = 5, we have:

L{5} = ∫[0 to ∞] 5 * e^(-st) dt

B) To find the antiderivative corresponding to the previous part, we can integrate the function 5 * e^(-st) with respect to t. The antiderivative, or indefinite integral, of 5 * e^(-st) dt is:

∫(5 * e^(-st)) dt = (5/s) * e^(-st) + C

where C is the constant of integration. Since we are given that the constant term is 0, the antiderivative simplifies to:

∫(5 * e^(-st)) dt = (5/s) * e^(-st)

C) To evaluate the Laplace transform of f(t) = 5, we need to compute the integral from 0 to ∞. Plugging in the antiderivative from part B, we have:

L{f(t)} = ∫[0 to ∞] 5 * e^(-st) dt = lim[T→∞] [(5/s) * e^(-sT) - (5/s) * e^(-s(0))]

As T approaches infinity, the term e^(-sT) goes to 0, since the exponential function decays as the exponent becomes more negative. Therefore, the Laplace transform simplifies to:

L{5} = lim[T→∞] [(5/s) * e^(-sT) - (5/s) * e^(0)]

= (5/s) * (0 - 1)

Simplifying further, we find:

L{5} = -5/s

D) The Laplace transform L{f(t)} = -5/s exists for values of s where the integral converges. The Laplace transform is defined for a certain range of complex numbers, which forms the domain of the Laplace transform. In this case, the Laplace transform of f(t) = 5 exists for all complex numbers s except for s = 0. Therefore, the domain of f(s) is the set of all complex numbers except for s = 0.

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Answer:

28yd^2

Step-by-step explanation:

the answer is 28 yards squared bud :)

Answer:

The length of [tex]\overline{JO}[/tex] is 48.

Step-by-step explanation:

A square is a quadrilateral whose four sides have the same length and four internal angles have the same measure. The sum of measures of internal angles in quadrilaterals equals 360°. Let [tex]m\,\angle BOJ = 4\cdot x -6[/tex] and [tex]BO = 2\cdot x - 8[/tex], the value of [tex]x[/tex] is:

[tex]4\cdot (4\cdot x - 6) = 360^{\circ}[/tex]

[tex]16\cdot x -24 = 360^{\circ}[/tex]

[tex]16\cdot x = 384^{\circ}[/tex]

[tex]x = 24[/tex]

And the length of [tex]JO[/tex] is:

[tex]JO = BO = 2\cdot x - 8[/tex]

[tex]JO = 40[/tex]

The length of [tex]\overline{JO}[/tex] is 48.

The expression to evaluate is arccos([tex]\sqrt(3)[/tex]/2) - arcsin(1/2). The exact angle in radians in the interval [0, π] for this expression is π/6.

To evaluate the given expression, we start by calculating the values inside the trigonometric functions. The square root of 3 divided by 2 is equal to 0.866, and 1 divided by 2 is equal to 0.5. The arccos function gives us the angle whose cosine is equal to the input. In this case, the cosine of the angle we are looking for is[tex]\sqrt(3)[/tex]/2. Using the unit circle, we find that this angle is π/6 radians. Next, we calculate the arcsin of 1/2, which gives us the angle whose sine is equal to the input. This angle is π/6 radians as well. Finally, we subtract the two angles to get our result: π/6 - π/6 = 0. Therefore, the exact angle in radians in the interval [0, π] for the given expression is π/6.

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