Answer:
m∠1 = 140°, m∠2 = 70°, m∠3 = 70/2 = 35°---------------------------
Each angle is the half the difference of intercepted arcs, calculated as below:
angle measure = (far arc - near arc) /2m∠1 = [(360 - 80) - 0] / 2 = 280 / 2 = 140m∠2 = (200 - 60) / 2 = 140 / 2 = 70m∠3 = [(360 - 145) - 145] / 2 = (360 - 290)/2 = 70 / 2 = 35Let y = f(x), where (x) = 4x2 + Bx Find the differential of the function dy -
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 =.
The population of weights of a particular fruit is normally distributed, with a mean of 598 grams and a standard deviation of 34 grams. If 26 fruits are picked at random, then 18% of the time, their mean weight will be greater than how many grams? Round your answer to the nearest gram.
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.
What is equation?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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Please Show Work! Thank youQuestion 7 (24 points) Find the indefinite integrals for the followings. as (t+ - ++)dt, (i) S x cos(x2)dx, ii (iii) ſ tan (3x), cos (t) (iv) S dt (Hint: use U-substitution) sin' (t) 2
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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Select the appropriate way to finish reporting the results in APA format based on the following scenario for each type of hypothesis test: College students at a local community college take an average of 3.3 years to complete an AA (only counting semesters when officially enrolled). A chancellor at a community college believes that the time to graduation could be high because of the large number of students who move out of their parents homes and move in with other students their age. He theorizes that students who move into their own apartments will party more, focus less on their studies, and have to spend more time earning money, which will make them take longer to graduate. To test his theory, the chancellor randomly selects 36 freshman who are planning to earn an AA and choosing to live in their own apartments while attending the college. The students in the sample took an average of 3.8 years to earn their AA (SS = 50.4). Is there sufficient evidence to indicate, at the 5% level of significance, that community college students who lived on their own took more time to earn an AA?
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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A numerical measure of linear association between two variables is the _____.
Select one:
a. z-score
b. correlation coefficient
c. variance
d. None of the answers is correct.
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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After 10 years $57,000 grows to $96,500 in an account withcontinuous compounding. How long will it take money to double inthis account? Report your answer to the nearest month.
It will take about 1.28 years (or 15 months) for the money to double in this account with continuous compounding.
After 10 years $57,000 grows to $96,500 in an account withcontinuous compounding. How long will it take money to double inthis account? Report your answer to the nearest month.
We can use the continuous compounding formula to solve this problem:
A = Pe^(rt)
where:
A = the amount after time t
P = the initial amount (principal)
r = the annual interest rate (as a decimal)
t = time (in years)
We are given that P = $57,000, A = $96,500, and the interest is compounded continuously. Therefore, we can solve for t:
ln(A/P) = rt
ln(96,500/57,000) = rt
0.54077 = rt
To find the time it takes for the money to double, we need to find the value of t when A = 2P (i.e., $114,000). Therefore, we can set up the following equation:
ln(2) = rt
ln(2) = 0.54077*t
t = ln(2)/0.54077
t ≈ 1.28 years
Therefore, it will take about 1.28 years (or 15 months) for the money to double in this account with continuous compounding.
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The following results are from a statistics package in which all of the values and given. Is there a significant effect from the interaction? Should you test to see if there is a significant effect due to either A or B? If the answer is yes, is there a significant effect due to either A or B?ince P-0.3958 for the interaction, you reject the null hypothesis that there is no effect due to the interaction. It is appropriate to see if there is a significant effect due to either A or B. The P-value for Bis P=0.0001, which rejects the null hypothesis that there is no effect due to B. The means for B are not all the same. Since P -0.3958 for the interaction, you reject the null hypothesis that there is no effect due to the interaction. No, it is not appropriate to see if there is a significant effect due to either A or B. Since P-0.3958 for the interaction, you fail to reject the null hypothesis that there is no effect due to the interaction. It is not appropriate to see if there is a significant effect due to either A or B. Since P-0.3958 for the interaction, you fail to reject the null hypothesis that there is no effect due to the interaction. Yes, it is appropriate to see if there is a significant effect due to either A or B. The P-value for B is P=0.0001, which rejects the null hypothesis that there is no effect due to B. The means for B are not all the same
Yes, it is appropriate to see if there is a significant effect due to either A or B. The P-value for B is P=0.0001, which rejects the null hypothesis that there is no effect due to B. (option d).
In this scenario, the question is whether there is a significant effect from the interaction of two variables, A and B, and whether there is a significant effect due to either A or B individually. The results show that the P-value for the interaction is 0.3958, which means we fail to reject the null hypothesis that there is no effect due to the interaction.
It is important to note that even though we reject the null hypothesis for B, we cannot conclude that there is a significant effect due to A, as we have not conducted a separate hypothesis test for A.
However, in scenario (d), we are told that it is appropriate to test for a significant effect due to either A or B, as we have significant evidence of an effect due to B. In this case, we can conduct a separate hypothesis test for A to determine whether there is a significant effect due to A as well.
Hence the correct option is (d).
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Gerald graphs the function f(x) = (x – 3)2 – 1. Which statements are true about the graph? Select three options.
The domain is {x| x ≥ 3}.
The range is {y| y ≥ –1}.
The function decreases over the interval (–∞, 3).
The axis of symmetry is x = –1.
The vertex is (3, –1).
Answer:
The range is {y| y ≥ –1}.The function decreases over the interval (–∞, 3).The vertex is (3, –1).Step-by-step explanation:
You want to find the true statements describing the graph of f(x) = (x -3)² -1.
Vertex formThe 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.
The range is {y| y ≥ –1}.The function decreases over the interval (–∞, 3).The vertex is (3, –1).∫cos^6 x dx Remember the formula for the cube of a sum: (A + B)^3 = A^3 = A^3 + 3A^2 b + 3AB^2 = B^3. Then work term-by-term, thinking about each integral separately, and put the answer together at the end.
∫[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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A third-grade class begins working on a mathematics project at 9:50 a.m. and stops working on the project at 11:10 a.m. How many minutes did the class work on the project? A. 80 minutes B. 20 minutes C. 60 minutes D. 100 minutes
Find the area under the split-domain function from X = -2 to X = 3 2 5-x (x <0) f(x) = 5 (x2o)
Total area 59 square units.
To find the area under the split-domain function from x=-2 to x=3, we need to integrate each piece of the function separately over the given interval.
For x < 0, we have f(x) = 2x + 5. We can integrate this as follows:
∫(from -2 to 0) (2x + 5) dx = [x^2 + 5x] (from -2 to 0) = (0^2 + 5(0)) - (-2^2 + 5(-2)) = 4 + 10 = 14.
For x ≥ 0, we have[tex]f(x) = 5x^2[/tex] We can integrate this as follows:
∫(from 0 to 3) (5x^2) dx [tex]= [5/3 x^3][/tex] (from 0 to 3)
[tex]= 5/3 (3^3 - 0^3)[/tex]
= 45
Therefore, the total area under the function from x=-2 to x=3 is the sum of the areas of the two pieces
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A population of Australian Koala bears has a mean height of 21 inches and a standard deviation of 4.5 inches. You plan to choose a sample of 64 bears at random. What is the probability of a sample mean between 21 and 22.
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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1. 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, what is the probability that the person never uses Firefox?
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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For the Curve f(x) = -x} + 2x2 + 5x + 6, determine the point(s) of inflection, and determine the interval(s), where it is concaved up and where it is concaved down. [4 Marks]
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? __
Solve the given equation for x. Round your answer to the nearest thousandths. 5 = 31n x - In x X=
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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Express the limit as an integral. n lim § 176x732 – 2(x; 33)ax over [0, 4) ())] n00 i = 1 dx
The limit is expressed as the integral from 0 to 4 of [(176x/3)² - 2(x/3)³]dx using the definition of a Riemann sum.
To express the given limit as an integral, we can use the definition of a Riemann sum
[tex]\lim_{n \to \infty}[/tex] ∑ i=1 to n [(176i/n)^2 - 2((i/3)^³) * (4/n)] * (4/n)
This can be simplified as
[tex]\lim_{n \to \infty}[/tex] [(4/n) * ((176/3)² + (172/3)² + ... + (8/3)²) - (32/n) * ((1/3)³ + (2/3)³ + ... + (n/3)³)]
Taking the limit as n approaches infinity, this becomes:
∫₀⁴ [(176x/3)² - 2(x/3)³] dx
Therefore, the given limit can be expressed as the integral from 0 to 4 of [(176x/3)² - 2(x/3)³] dx.
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(1 point) If x = 16 cose and y = 16 sin e, find the total length of the curve swept out by the point (x, y) as a ranges from 0 to 2n. Answer:
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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Parker has 12 blue marbles. Richard has 34
of the number of blue marbles that Parker has.
Part A
Explain how you know that Parker has more blue marbles than Richard without completing the multiplication.
Enter equal to, greater than, or less than in each box.
Multiplying a whole number by a fraction
1 results in a product that is
the original whole number.
Part B
How many blue marbles does Richard have? Enter your answer in the box.
blue marbles
Answer:
Part A:
The comparison is "greater than".
Explanation: Since Richard has only a fraction (specifically, 34/1) of the number of blue marbles that Parker has, multiplying a whole number (Parker's marbles) by a fraction (34/1) results in a product that is less than the original whole number (Parker's marbles). Therefore, Parker must have more blue marbles than Richard.
Part B:
To determine how many blue marbles Richard has, we can multiply the number of blue marbles Parker has by the fraction representing the fraction of blue marbles Richard has compared to Parker, which is 34/1.
Richard has 12 (Parker's marbles) multiplied by 34/1 (the fraction representing the fraction of blue marbles Richard has compared to Parker):
Richard has 12 * 34/1 = 408 blue marbles.
Step-by-step explanation:
in the answer
State the coordinates of the intercepts, stationary points, and the inflection point of p(x) = x (x² - 1)² . x NOTE: Enter the exact answers.Number of x-intercepts: y-intercept:
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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Grades on a very large statistics course have historically been awarded according to the following distribution D С Р HD 0.15 Z or Fail 0.05 0.20 0.30 0.30 What is the probability that a student scores higher than a Credit (C)? 0.15 0.35 0.20 O 0.65
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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Consider the partial differential equation for heat in a one-dimensional rod with temperature u(x, t): au ди at =k ar2 Assume initial condition: u(x,0) = f(x) = and boundary conditions: u(0,t) = 18 u(4,t) =0 Determine the steady state temperature distribution: u(x) =_______________
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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An electrical firm manufactures a certain type of light bulb that has a mean light of 1,850 hours and a standard deviation of 190 hours. Find the probability that a random sample of 100 bulbs will have an average life of more than 1,870 hours.
The probability that a random sample of 100 bulbs will have an average life of more than 1,870 hours is approximately 14.69%
To find the probability that a random sample of 100 bulbs will have an average life of more than 1,870 hours, we need to use the mean, standard deviation, and sample size provided.
First, we need to find the standard error (SE) for the sample:
SE = (standard deviation) / √(sample size) = 190 / √100 = 19 hours
Next, we need to find the z-score for the given average life (1,870 hours):
z = (sample mean - population mean) / SE = (1870 - 1850) / 19 ≈ 1.05
Finally, we use a z-table to find the probability associated with this z-score. For a z-score of 1.05, the probability is 0.8531, which represents the area to the left of the z-score. However, we need the probability to the right (more than 1,870 hours), so we subtract this value from 1:
Probability = 1 - 0.8531 ≈ 0.1469
Thus, the probability that a random sample of 100 bulbs will have an average life of more than 1,870 hours is approximately 14.69%.
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Evaluate 54 + c2 when c = 7
Answer:
68
Step-by-step explanation:
54 + c2
substitute c = 7 in the equation
54 +(7)2
54+14
=68
Consider the following. Demand Function: p=700−3x
Quantity Demanded: x=15
a) Find the price elasticity of demand for the demand function at the indicated x-value.
b)Is the demand elastic, inelastic, or of unit elasticity at the indicated x-value?
c)graph the revenue function.
d)Identify the intervals of elasticity and inelasticity.
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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create two probabilities for this data to show the focused deterrence worked in your city STEP 2: Review the data A Envision you are a police chief of a large city and are interested in seeing if the focused deterrence strategies you have employed in your city are working to reduce crime. Crime data is finally in and is displayed in the table below. Crime Was Reduced Crime Was Not Reduced TOTAL Neighborhood Received Focused Deterrence 75 15 90 Neighborhood Did Not Receive Focused Deterrence 5 25 30 TOTAL 80 40 120
the focused deterrence strategies employed in the city are working to reduce crime.
To create probabilities to show the focused deterrence worked in the city, we can calculate the conditional probabilities of crime reduction given the neighborhood received focused deterrence and crime reduction given the neighborhood did not receive focused deterrence.
Let A be the event that the neighborhood received focused deterrence, and B be the event that crime was reduced. Then, the probabilities we can calculate are:
P(B|A) = 75/90 = 0.8333
P(B|A') = 5/30 = 0.1667
Where A' is the complement event of A (the neighborhood did not receive focused deterrence).
These probabilities show that crime reduction is much more likely when the neighborhood received focused deterrence, indicating that the focused deterrence strategies employed in the city are working to reduce crime.
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Critical values for quick reference during this activity
Confidence level Critical value
0.90 z* = 1.645
0.95 z* = 1.960
0.99 z* = 2.576
Jump to level 1 A poll for a statewide election has a margin of error of 3.34 percentage points. 3 How many voters should be sampled for a 90% confidence interval? Round up to the nearest whole number Ex: 1234 voters 4
We get that 636 voters should be sampled for a 90% confidence interval.
What is the central limit theorem?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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Yobel is a supply chain management company in Peru. They manufacture on-site products for large international companies such as Revlon, Kodak, Ivory, etc. These companies have specific quality criteria that they expect to be maintained even if the product is not manufactured or sold in the United States. Suppose you're put in charge of quality control for Revlon lipstick. The specified "failure rate" or proportion of flawed lipsticks, as specified by Revlon is 0.05. This sort of relationship is normally the case when a company outsources some of its production.
(a) What is the probability in a sample of 100 lipsticks that the proportion that are flawed is more than 0.054?
(b) What is the probability in a sample of 100 lipsticks that the proportion that are flawed is less than 0.0542?
(c) What is the probability in a sample of 100 lipsticks that the proportion that are flawed is between 0.048 and 0.0522?
a. The probability in a sample of 100 lipsticks that the proportion that are flawed is more than 0.054 is 0.3372.
b. Therefore, the probability in a sample of 100 lipsticks that the proportion that are flawed is less than 0.0542 is 0.6409.
c. The probability in a sample of 100 lipsticks that the proportion that are flawed is between 0.048 and 0.0522 is 0.3182.
To solve this problem, we can use the normal distribution since the sample size is large enough (n=100) and the proportion of flawed lipsticks (p=0.05) is not too small or too large.
(a) Let X be the number of flawed lipsticks in a sample of 100.
Then X follows a binomial distribution with n=100 and p=0.05.
We can use the normal approximation to the binomial distribution with mean np=5 and variance np(1-p)=4.75.
Let Z be the standard normal random variable, then
P(X > 0.054*100) = P(X > 5.4)
[tex]= P((X - 5)/\sqrt{(4.75) } > (5.4 - 5)/\sqrt{(4.75)} )[/tex]
= P(Z > 0.42)
= 1 - P(Z ≤ 0.42)
= 1 - 0.6628
= 0.3372.
(b) Using the same approach as in part (a), we have
P(X < 0.0542*100) = P(X < 5.42)
[tex]= P((X - 5)/\sqrt{(4.75)} < (5.42 - 5)/\sqrt{(4.75)} )[/tex]
= P(Z < 0.362)
= 0.6409.
(c) Using the same approach as in part (a), we have
P(0.048100 < X < 0.0522100) = P(4.8 < X < 5.22)
[tex]= P((4.8 - 5)/\sqrt{(4.75)} < (X - 5)/\sqrt{(4.75)} < (5.22 - 5)/\sqrt{(4.75)} )[/tex]
= P(-0.63 < Z < 0.21)
= P(Z < 0.21) - P(Z < -0.63)
= 0.5832 - 0.2650
= 0.3182.
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It took Caleb 5/6 of an hour to complete his math homework it took Seth 9/10 as much time to complete his math homework as it took Caleb who spent more time to complete their homework
If Caleb take 5/6 of hour and Seth took 9/10 of Caleb's time , then we can say that Caleb spent more time to complete the math homework.
The time taken by Caleb to complete his math's homework is = (5/6) of hour,
So, the Caleb's-time will be = (5/6)×60 = 50 minutes,
We also know that, Seth took (9/10) of Caleb's time, which means:
⇒ Seth's-Time is = (9/10) × 50 = 45 minutes.
On observing time taken by both Caleb and Seth,
We see that Caleb's time is greater than Seth's Time ,
Therefore, Caleb take more-time to complete the home work.
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A high school teacher has designed a new course intended to help students prepare for the mathematics section of the SAT. A sample of n = 20 students is recruited to for the course and, at the end of the year, each student takes the SAT. The average score for this sample is M = 562. For the general population, scores on the SAT are standardized to form a normal distribution with μ = 500 and σ = 100.
a. Can the teacher conclude that students who take the course score significantly higher than the general population? Use a one-tailed test with α = .01.
b. Compute Cohen’s d to estimate the size of the effect.
c. Write a sentence demonstrating how the results of the hypothesis test and the measure of effect size would appear in a research report.
Since the calculated z-score (6.7) is greater than the critical z-score (2.33), the null hypothesis can be rejected, and it can be concluded that students who take the course score significantly higher than the general population.
The formula for Cohen’s d is (562-500)/100 = 0.62.
The effect size, estimated using Cohen’s d, was moderate (d = 0.62)."
a. To determine whether students who take the course score significantly higher than the general population, a one-tailed hypothesis test can be used with α = .01. The null hypothesis is that there is no difference between the sample mean and the population mean, and the alternative hypothesis is that the sample mean is significantly higher than the population mean. Using the formula for a z-score, the calculated z-score is (562-500)/(100/sqrt(20)) = 6.7. The critical z-score at α = .01 for a one-tailed test is 2.33.
b. Cohen’s d can be used to estimate the size of the effect of taking the course on SAT scores. Cohen’s d is calculated by taking the difference between the sample mean and the population mean, and dividing it by the standard deviation of the population. In this case, the formula for Cohen’s d is (562-500)/100 = 0.62. This indicates a medium effect size according to Cohen's guidelines.
c. In a research report, the results of the hypothesis test and the measure of effect size would be reported. For example, "The results of the one-tailed hypothesis test showed that students who took the course scored significantly higher on the SAT than the general population (z = 6.7, p < .01).
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If m2QPS (15x+8) and mZR = (10x-3)°, find mZR.
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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