the value of c that makes the function f(x, y) = ce^−2x−3y a joint probability density function over the given range is:
[tex]c = -6 / (e^−5-1)[/tex]
To determine the value of c that makes the function f(x, y) = [tex]ce^−2x−3y[/tex] a joint probability density function over the range 0 ≤ x ≤ 1 and 0 ≤ y ≤ 1, we need to make sure that the function integrates to 1 over this range. This is because the total probability over the entire range should equal 1.
Step 1: Set up the double integral
To ensure that the function integrates to 1, we can set up a double integral over the given range:
∫∫ f(x, y) dx dy = 1
Step 2: Plug in the function and limits
Now we can plug in the function and the limits for x and y:
∫₀¹ ∫₀¹ ce^−2x−3y dx dy = 1
Step 3: Integrate with respect to x
Integrate the function with respect to x:
∫₀¹ [(-c/2)e^−2x−3y]₀¹ dy = 1
Evaluate the integral at the limits:
∫₀¹ [-c/2(e^−2−3y - e^−3y)] dy = 1
Step 4: Integrate with respect to y
Now integrate with respect to y:
[-c/6(e^−5 - 1)]₀¹ = 1
Evaluate the integral at the limits:
- c/6(e^−5 - 1) = 1
Step 5: Solve for c
Finally, solve for c:
c = -6 / (e^−5 - 1)
So, the value of c that makes the function f(x, y) = ce^−2x−3y a joint probability density function over the given range is:
c = -6 / (e^−5 - 1)
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Use the summation formulas to rewrite the expression without the summation notation.
∑nj=1 3j+2/n2
S(n)= Use the result to find the sums for n = 10, 100, 1000, and 10,000.
The closed-form expression for the given summation is (3n^2 + 7n) / (2n^2). Using this formula, the sums for n = 10, 100, 1000, and 10,000 are 37/20, 307/200, 3007/2000, and 30007/20000, respectively.
The given expression can be rewritten using the summation formulas as
∑nj=1 3j+2/n2 = (3(1)+2)/n2 + (3(2)+2)/n2 + ... + (3(n)+2)/n2
Let's simplify this expression by factoring out the common term of 1/n2
= (3/n2)(1 + 2 + ... + n) + (2/n2)(1 + 1 + ... + 1)
= (3/n2)(n(n+1)/2) + (2/n2)(n)
= (3n(n+1) + 4n) / (2n2)
= (3n^2 + 7n) / (2n^2)
Therefore, we have the closed-form expression for S(n) as
S(n) = (3n^2 + 7n) / (2n^2)
Using this formula, we can find the sums for n = 10, 100, 1000, and 10,000
S(10) = (3(10^2) + 7(10)) / (2(10^2)) = 37/20
S(100) = (3(100^2) + 7(100)) / (2(100^2)) = 307/200
S(1000) = (3(1000^2) + 7(1000)) / (2(1000^2)) = 3007/2000
S(10000) = (3(10000^2) + 7(10000)) / (2(10000^2)) = 30007/20000
Therefore, the sums for n = 10, 100, 1000, and 10,000 are 37/20, 307/200, 3007/2000, and 30007/20000, respectively.
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(1 point) find the pdf of = when and have the joint pdf ,
f(x)={ 1/900 0≤x,y≤3
0, otherwise.
To find the PDF of Z = X + Y when X and Y have the given joint PDF, f(x,y) = 1/900 for 0≤x,y≤3, and 0 otherwise.
Step 1: Identify the range of Z. Since X and Y range from 0 to 3, the minimum value for Z is 0 (when X = 0 and Y = 0) and the maximum value for Z is 6 (when X = 3 and Y = 3).
Step 2: Find the marginal PDFs of X and Y. Since X and Y are uniformly distributed, we have f_X(x) = 1/3 for 0≤x≤3 and f_Y(y) = 1/3 for 0≤y≤3.
Step 3: Compute the convolution of the marginal PDFs.
To find the PDF of Z = X + Y, we need to compute the convolution of f_X(x) and f_Y(y): f_Z(z) = ∫ f_X(x) * f_Y(z-x) dx
Now, let's compute the convolution for different ranges of Z:
a) 0≤z≤3: f_Z(z) = ∫(1/3)(1/3) dx from x=0 to x=z f_Z(z) = (1/9)[x] from 0 to z f_Z(z) = z/9
b) 3
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find the area and perimeter of the following figures (use X=3.142) and show ur working
a) 4cm
b)6cm
c)3.5cm
The area of the composite shape is 40.57 square m and the perimeter is 34.57 meters
Calculating the areas and the perimeterThe surface area of composite shapes can be found by breaking the composite shape down into simpler shapes and then finding the surface area of each individual shape.
Here, we have
Area = Area of rectangle + circle
So, we have
Area = 4 * 7 + 22/7 * (4/2)^2
Area = 40.57 square m
So, the area is 40.57 square m
For the perimeter, we have
Perimeter = 2 * (4 + 7) + 2 * 22/7 * (4/2)
Perimeter = 34.57
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Determine the differential of arc length for the curve C parametrized by:
r(t)= (e^t^2, ln(t+1))
The differential of arc length for the curve C parametrized by r(t) is given by:
ds = sqrt((dx/dt)² + (dy/dt)²) dt
where x = [tex]e^t[/tex]² and y = ln(t+1).
Taking the derivatives, we get:
dx/dt = 2t ([tex]e^t[/tex])²
dy/dt = 1/(t+1)
Substituting into the formula, we get:
ds = sqrt((2t [tex]e^t[/tex]²)² + (1/(t+1))²) dt
Simplifying, we get:
ds = sqrt(4t²e²t² + 1/(t+1)²) dt
Therefore, the differential of arc length for the curve C parametrized by r(t) is:
ds = sqrt(4t²e²t² + 1/(t+1)²) dt.
This formula allows us to calculate the length of the curve C between two points on the curve by integrating the differential of arc length between the corresponding values of t.
The formula shows that the length of the curve increases as t increases, with the rate of increase depending on the values of t and e.
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helpppp please with answer and explanation thank you!!!!
Answer:
Step-by-step explanation:
For a sample of n = 36 scores, what is the value of the population standard deviation (σ) necessary to produce each of the following standard error values?
σM= 12 points:
σ =
σM = 3 points:
σ =
σM= 2 points:
σ =
The value of the population standard deviation necessary to produce a standard error of 3 points is 18 points. The value of the population standard deviation necessary to produce a standard error of 12 points is 72 points. The value of the population standard deviation necessary to produce a standard error of 2 points is 12 points.
To calculate the value of the population standard deviation (σ) necessary to produce each of the following standard error values for a sample of n = 36 scores, we can use the formula:
σM = σ / √n
where σM is the standard error of the mean, σ is the population standard deviation, and n is the sample size.
1. If σM = 12 points, then:
12 = σ / √36
12 = σ / 6
σ = 12 x 6
σ = 72 points
Therefore, the value of the population standard deviation necessary to produce a standard error of 12 points is 72 points.
2. If σM = 3 points, then:
3 = σ / √36
3 = σ / 6
σ = 3 x 6
σ = 18 points
Therefore, the value of the population standard deviation necessary to produce a standard error of 3 points is 18 points.
3. If σM = 2 points, then:
2 = σ / √36
2 = σ / 6
σ = 2 x 6
σ = 12 points
Therefore, the value of the population standard deviation necessary to produce a standard error of 2 points is 12 points.
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a person scores x = 65 on an exam. which set of parameters would give this person the worst grade on the exam relative to others?a. µ = 60 and σ = 5b. µ = 70 and σ = 10c. µ = 70 and σ = 5d. µ = 60 and σ = 10
The set of parameters that would give this person the worst grade on the exam relative to others is µ = 70 and σ = 5. This can be found using z-score. The correct option is option c).
To determine which set of parameters would give this person the worst grade on the exam relative to others, we need to find the z-score for the score of 65 under each set of parameters and see which one is the lowest. The z-score is a measure of how many standard deviations a particular value is from the mean.
The formula for calculating the z-score is:
z = (x - µ) / σ
where x is the score, µ is the mean, and σ is the standard deviation.
a. µ = 60 and σ = 5
z = (65 - 60) / 5 = 1
b. µ = 70 and σ = 10
z = (65 - 70) / 10 = -0.5
c. µ = 70 and σ = 5
z = (65 - 70) / 5 = -1
d. µ = 60 and σ = 10
z = (65 - 60) / 10 = 0.5
The lowest z-score is -1, which corresponds to option c. This means that most people scored higher than 65, and those who scored lower did so by a smaller margin.
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The difference of the square of a number and 36 is equal to 5 times that number.Find the positive solution.
Answer:
[tex] {x}^{2} - 36 = 5x[/tex]
[tex] {x}^{2} - 5x - 36 = 0[/tex]
[tex](x - 9)(x + 4) = 0[/tex]
[tex]x = 9[/tex]
Evaluate ∭bzex ydv where b is the box determined by 0≤x≤4, 0≤y≤3, and 0≤z≤3. The value is ?
The value of the triple integral ∭bzex ydv over the box b determined by 0≤x≤4, 0≤y≤3, and 0≤z≤3 is [tex]27e^{12} - 36.[/tex]
What is integration?
Integration is a fundamental concept in calculus that involves finding the integral of a function.
To evaluate the triple integral ∭bzex ydv over the box b determined by 0≤x≤4, 0≤y≤3, and 0≤z≤3, we integrate with respect to z, y, and then x.
∭bzex ydv = [tex]\int\limits^3_0 \int\limits^3_0\int\limits^4_0 bzex y\ dx\ dy\ dz[/tex]
Integrating with respect to x, we get:
[tex]\int\limits^4_0 bzex\ y\ dx\ = bzex\ y\ |^4_0 = bze 4^y - bz[/tex]
Substituting this result into the triple integral, we get:
∭bzex ydv = [tex]\int\limits^3_0 \int\limits^3_0(bze 4^y - bz) dy dz[/tex]
Integrating with respect to y, we get:
[tex]\int\limits^3_0 (bze4^y - bz) dy = (1/4)bze4^y - bzy|_0^3 = (1/4)bz(e^{12} - 1) - 3bz[/tex]
Substituting this result into the triple integral, we get:
∭bzex ydv = [tex](1/4)bz(e^{12} - 1) - 3bz) \int\limits^3_0 dz[/tex]
Integrating with respect to z, we get:
[tex]\int\limits^3_0 (1/4)bz(e^{12} - 1) - 3bz) dz = (9/4)bz(e ^{12} - 1) - 9bz[/tex]
Substituting this result into the triple integral, we get:
∭bzex ydv =[tex](9/4)bz(e^{12} - 1) - 9bz)[/tex]
Now, substituting the limits of integration, we get:
∭bzex ydv = [tex](9/4)(4)(e_{-1} ^{12} - 1) - 9(4) = 27e^{12} - 36[/tex]
Therefore, the value of the triple integral ∭bzex ydv over the box b determined by 0≤x≤4, 0≤y≤3, and 0≤z≤3 is [tex]27e^{12} - 36.[/tex]
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determine if each of the following functions is o(x2). answer y for yes and n for no. 1. f(x)=17x 11 2. f(x)=x2 1000 3. f(x)=x42 4. f(x)=⌊x⌋⋅⌈x⌉ 5. f(x)=log(2x) 6. f(x)=xlog(x) 7.
f(x) = sqrt(x^2 + x)
Yes, f(x) is O(x^2) because sqrt(x^2 + x) is dominated by x when x is sufficiently large.
f(x) = 17x^(11)
Yes, f(x) is O(x^2) because 17x^11 is dominated by x^2 when x is sufficiently large.
f(x) = x^(2/1000)
Yes, f(x) is O(x^2) because x^(2/1000) is dominated by x^2 when x is sufficiently large.
f(x) = x^42
Yes, f(x) is O(x^2) because x^42 is dominated by x^2 when x is sufficiently large.
f(x) = ⌊x⌋⋅⌈x⌉
Yes, f(x) is O(x^2) because ⌊x⌋⋅⌈x⌉ is bounded above by x^2 when x is sufficiently large.
f(x) = log(2x)
No, f(x) is not O(x^2) because log(2x) grows much more slowly than x^2 when x is sufficiently large.
f(x) = xlog(x)
No, f(x) is not O(x^2) because xlog(x) grows much more slowly than x^2 when x is sufficiently large.
f(x) = sqrt(x^2 + x)
Yes, f(x) is O(x^2) because sqrt(x^2 + x) is dominated by x when x is sufficiently large.
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a class of 5n students, with 3n boys and 2n girls, wants to select n students to write a report. how many ways are there to select the n students, so that at least one girl is selected?
To solve this problem, we can use the principle of inclusion-exclusion.
First, let's find the total number of ways to select n students from a class of 5n:
Total ways = (5n choose n) = (5n)! / (n!*(5n-n)!) = (5n)! / (n!*(4n)!)
if h(x) = 6 5f(x) , where f(5) = 6 and f '(5) = 4, find h'(5). h'(5) =
If h(x) = 6 5f(x) , where f(5) = 6 and f '(5) = 4, then h'(5). h'(5) =20
To find h'(5) given h(x) = 6 + 5f(x), f(5) = 6, and f'(5) = 4, follow these steps:
1. Differentiate h(x) with respect to x: h'(x) = 0 + 5f'(x) (since the derivative of a constant is 0, and we use the chain rule for the second term).
2. Now, h'(x) = 5f'(x).
3. Plug in the given values: h'(5) = 5f'(5).
4. Since f'(5) = 4, substitute this value: h'(5) = 5 * 4.
5. Compute the result: h'(5) = 20.
So, h'(5) = 20.
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You are skiing on a mountain. Find the distance X from you to the base of the mountain. Round to the nearest foot.
Using a trigonometric relation we can see that the value of x is 3,549.3 ft
How to find the value of x?We can see that we have a right triangle, where x is the hypotenuse.
We know one angle of the triangle and the opposite cathetus of said angle.
Then we need to use the trigonometric relation:
sin(a) = (opposite cathetus)/hypotenuse.
Replacing the things that we know we will get.
sin(25°) = 1500ft/x
Solving that for x we will get:
x = 1500ft/sin(25°)
x = 3,549.3 ft
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Given that a random variable x, the number of successes, follows a Poisson process, then the probability of success for any two intervals of the same size.
A) is the same. B) are complementary.
C) are reciprocals. D) none of these
a random variable x, the number of successes, follows a Poisson process, then the probability of success for any two intervals of the same size.
A) is the same
The correct answer is A) is the same.
Probability is a way to gauge how likely something is to happen. Many things are difficult to forecast with absolute confidence. Using it, we can only make predictions about the likelihood of an event happening, or how likely it is. The probability can be between 0 and 1.
In a Poisson process, the probability of success within a certain time interval is determined only by the length of the interval and the rate of success. Therefore, any two intervals of the same size will have the same probability of success, regardless of when the intervals occur.
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true or false: an example of continuous data would be the numbers on baseball player jerseys.
The statement " An example of continuous data would be the numbers on baseball player jerseys" is false because the numbers on baseball player jerseys represent a finite set of distinct values, which makes them an example of discrete data, not continuous data.
Continuous data is data that can take on any value within a range or interval. This means that the data can be measured and expressed as a decimal or a fraction, and there are an infinite number of possible values within the range. For example, the height of a person can be any value between 5 feet and 6 feet, including all the possible fractions or decimals in between.
On the other hand, discrete data is data that can only take on certain distinct values. These values cannot be measured or expressed as a decimal or a fraction. Examples of discrete data include the number of children in a family, the number of students in a classroom, or the number of books on a shelf.
In the case of baseball player jerseys, the numbers are assigned to players based on a finite set of integers (typically 0 to 99), and there are no fractional or decimal values in between. Therefore, the numbers on baseball player jerseys are an example of discrete data, not continuous data.
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In an article in the Journal of Management, Joseph Martocchio studied and estimated the costs of employee absences. Based on a sample of 176 blue-collar workers, Martocchio estimated that the mean amount of paid time lost during a three-month period was 1. 3 days per employee with a standard deviation of 1. 4 days. Martocchio also estimated that the mean amount of unpaid time lost during a three-month period was 1. 1 day per employee with a standard deviation of 1. 6 days.
Suppose we randomly select a sample of 100 blue-collar workers. Based on Martocchio
The probability that the average amount of paid time lost during a three-month period for the 100 blue-collar workers will exceed 1.5 days is 0.0228.
Since the sample size n = 100 is sufficient, we can apply the central limit theorem to roughly approximate the distribution of the sample mean.
Let X represent the total paid time a single blue-collar worker missed during a three-month period. Given that the population mean is 1.3 days and the population standard deviation is 1.0 days, X N(1.3, 1.02) follows.
Let Y be the sample mean of X for a sample of 100 blue-collar workers selected at random. So, according to the central limit theorem, Y = N(1.3, 1.02/100).
We are looking for P(Y > 1.5). By standardized Y, we obtain:
Z is defined as (Y - ) / (n /√(n)) = (1.5 - 1.3) / (1.0 / √(100)). = 2
The probability of the event that average amount of the paid time loss is 0.0288.
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Complete question - In an article in the Journal of Management, Joseph Martocchio studied and estimated the costs of employee absences. Based on a sample of 176 blue-collar workers, Martocchio estimated that the mean amount of paid time lost during a three-month period was 1.3 days per employee with a standard deviation of 1.0 days. Martocchio also estimated that the mean amount of unpaid time lost during a three-monthperiod was 1.4 day per employee with a standard deviation of 1.2 days.
Suppose we randomly select a sample of 100 blue-collar workers. Based on Martocchio's estimates:
(a)What is the probability that the average amount of paid time lost during a three-month period for the 100 blue-collar workers will exceed 1.5 days?
You can afford monthly deposits of $ 140 into an account that pays 3.0% compounded monthly. How long will it be until you have $10,000 to buy a boat?
Type the number of months: nothing
(Round to the next-higher month if not exact.)
It will take approximately 67 months to have $10,000 to buy a boat with monthly deposits of $140 at a 3% monthly compounded interest rate.
To determine how long it will take to save $10,000 with monthly deposits of $140 at a 3.0% interest rate compounded monthly, we'll use the future value of a series formula:
FV = P * (((1 + r)^n - 1) / r)
Where:
FV = future value of the series ($10,000)
P = monthly deposit ($140)
r = interest rate per period (0.03 / 12)
n = number of periods (number of months)
Rearrange the formula to solve for n:
n = ln((FV * r / P) + 1) / ln(1 + r)
Plug in the values:
n = ln((10,000 * (0.03 / 12) / 140) + 1) / ln(1 + (0.03 / 12))
n ≈ 62.1
Since we need to round up to the next whole month, it will take approximately 63 months to save $10,000 to buy the boat.
It will take approximately 67 months to have $10,000 to buy a boat. Using the formula for compound interest, we can calculate the future value of monthly deposits of $140 at a rate of 3% compounded monthly:
FV = PMT * ((1 + r)^n - 1) / r
Where:
PMT = $140 (monthly deposit)
r = 0.03/12 (monthly interest rate)
n = number of months
We want to find the value of n that gives us a future value of $10,000:
$10,000 = $140 * ((1 + 0.03/12)^n - 1) / (0.03/12)
Simplifying and solving for n, we get:
n = log(1 + ($10,000 * 0.03/12 / $140)) / log(1 + 0.03/12)
n ≈ 66.8
Since we can't have fractional months, we round up to the next higher month:
n ≈ 67
Therefore, it will take approximately 67 months to have $10,000 to buy a boat with monthly deposits of $140 at a 3% monthly compounded interest rate.
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A movie theater wanted to determine the average rate that their diet soda is purchased. An employee gathered data on the amount of diet soda remaining in the machine, y, for several hours after the machine is filled, x. The following scatter plot and line of fit was created to display the data.
scatter plot titled soda machine with the x axis labeled time in hours and the y axis labeled amount of diet soda in fluid ounces, with points at 1 comma 32, 1 comma 40, 2 comma 35, 3 comma 20, 3 comma 32, 4 comma 20, 5 comma 15, 5 comma 25, 6 comma 10, 6 comma 22, 7 comma 12, and 8 comma 0, with a line passing through the coordinates 2 comma 32.1 and 7 comma 9.45
Find the y-intercept of the line of fit and explain its meaning in the context of the data.
The y-intercept is 41.16. The machine starts with 41.16 ounces of diet soda.
The y-intercept is 41.16. The machine loses about 41.16 fluid ounces of diet soda each hour.
The y-intercept is −4.5. The machine starts with 4.5 ounces of diet soda.
The y-intercept is −4.5. The machine loses about 4.5 fluid ounces of diet soda each hour.
Answer:
Step-by-step explanation:
The y-intercept of the line of fit is 41.16, which means that when the machine is first filled, it starts with approximately 41.16 fluid ounces of diet soda.
In the context of the data, the y-intercept represents the initial amount of diet soda in the machine before any soda is purchased. This information can be useful for determining how much soda is being purchased by customers over time, as it provides a baseline for comparison.
Therefore, the correct answer is: The y-intercept is 41.16. The machine starts with 41.16 ounces of diet soda.
Answer:
y-intercept is 41.16. The machine starts with 41.16 ounces of diet soda.
Step-by-step explanation:
Solve the expression (one-half x 8 + 6) ÷ 5 using the order of operations. help me please
Answer:
2
Step-by-step explanation:
(½ × 8 + 6) ÷ 5
Order of operations: BODMAS - (Brackets, Orders, Division, Multiplication, Addition, Subtraction)
So Brackets first, and within the bracket we do mulplication first, then addition.
(4 + 6) ÷ 5
10 ÷ 5
Division is left so obviously
Ans : 2
for each step, choose the reason that best justifies it. (PLEASE HURRY!)
Answer:
simplifying
Step-by-step explanation:
convert the equation to polar form. (use variables r and as needed.) x = 4
The polar form of the equation x = 4 is r = 4 / cos(θ).
To convert the equation x = 4 to polar form:
To convert the equation x = 4 to polar form using variables r and θ (theta),
Follow these steps:
Step 1: Recall the polar to rectangular coordinate conversion formulas:
x = r * cos(θ)
y = r * sin(θ)
Step 2: Replace x in the given equation with the corresponding polar conversion formula:
r * cos(θ) = 4
Step 3: Solve for r:
r = 4 / cos(θ)
So, the polar form of the equation x = 4 is r = 4 / cos(θ).
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halp me this question test
Answer:
answer is (-2,5)
Step-by-step explanation:
gonna make 2 by 5 into Percent
x=0.4y-4
3x-9y=-51
step 2 Add 3 into first column and make it negative
-3x=-1.2y+12
then move y to other side
-3x+1.2y=12
3x-9y=-51
-7.8y=-39
y=5
U got y now
add it into y in first column
x= 2/5(5)-4
then it be 2-4= -2
x=-2
+) Replace x = (2/5)y - 4 into 3x - 9y = -51
[tex] 3 \times ( \frac{2}{5} y - 4) - 9y = - 51 \\ [/tex]
[tex] \frac{6}{5} y - 12 - 9y = - 51[/tex]
[tex]\frac{6}{5} y - 9y = - 51 + 12 = - 39[/tex]
[tex] \frac{ - 39}{5} y = - 39[/tex]
[tex]y = (- 39) \div \frac{( - 39)}{5} = ( - 39) \times \frac{5}{( - 39)} [/tex]
[tex]y = 5[/tex]
[tex]x = \frac{2}{5} y - 4 = \frac{2}{5} \times 5 - 4 = 2 - 4 [/tex]
[tex]x = - 2[/tex]
Ans: (x;y) = (-2;5)
Ok done. Thank to me >:33
Use a maclaurin series in this table to obtain the maclaurin series for the given function. f(x) = 6e^x e^4xsigma^infinity_n=0 (___________)
[tex]6 + 36x + 72x^2 + 96x^3[/tex] / 3! + ... this is the Maclaurin series for f(x). Note that since e^x has a well-known Maclaurin series, we were able to simplify the original expression before finding the series.
The problem asks us to find the Maclaurin series for the function:
[tex]f(x) = 6e^x e^4x[/tex] sigma^infinity_n=0 (1^n / n!)
To do this, we first need to recognize that the expression inside the sigma notation is actually the Maclaurin series for e^x:
sigma^infinity_n=0 (1^n / n!) = e^x
We can substitute this expression into the original function to get:
[tex]f(x) = 6e^x e^4x e^x[/tex]
Now we can simplify this expression using the laws of exponents:
[tex]f(x) = 6e^x * e^(4x) * e^x[/tex]
f(x) = 6e^(6x)
Now we need to express this function as a Maclaurin series. We can start by writing out the first few terms of the series:
[tex]f(x) = 6e^(6x)[/tex]
[tex]= 6(1 + 6x + (6x)^2 / 2! + (6x)^3 / 3! + ...)[/tex]
[tex]= 6 + 36x + 72x^2 + 96x^3 / 3! + ...[/tex]
This is the Maclaurin series for f(x). Note that since e^x has a well-known Maclaurin series, we were able to simplify the original expression before finding the series.
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To determine how 5:00 P.M. is expressed in military time, add ____
to 0500
Worth 100 points so easy.
What is the vertex of the parabola?
f(x) = 2x² + 16x + 30
x=
y=
Answer:
vertex = (- 4, - 2 )
Step-by-step explanation:
given a parabola in standard form
f(x) = ax² + bx + c ( a ≠ 0 )
then the x- coordinate of the vertex is
[tex]x_{vertex}[/tex] = - [tex]\frac{b}{2a}[/tex]
f(x) = 2x² + 16x + 30 ← is in standard form
with a = 2 , b = 16 , then
[tex]x_{vertex}[/tex] = - [tex]\frac{16}{2(2)}[/tex] = - [tex]\frac{16}{4}[/tex] = - 4
substitute x = - 4 into f(x) for corresponding y- coordinate
f(- 4) = 2(- 4)² + 16(- 4) + 30
= 2(16) - 64 + 30
= 32 - 34
= - 2
vertex = (- 4, - 2 ) or x = - 4 , y = - 2
suppose f is continuous on [4,8] and differentiable on (4,8). if f(4)=−6 and f′(x)≤10 for all x∈(4,8), what is the largest possible value of f(8)?
The largest possible value of f(8) is 14.
How to find the largest possible value of a function?Since f is continuous on [4,8] and differentiable on (4,8), we can apply the Mean Value Theorem (MVT) on the interval [4,8]. The MVT states that there exists a c in (4,8) such that
f(8) - f(4) = f'(c)(8-4)
or equivalently,
f(8) = f(4) + f'(c)(8-4).
Since f(4) = -6 and f'(x) ≤ 10 for all x in (4,8), we have
f(8) = -6 + f'(c)(8-4) ≤ -6 + 10(8-4) = 14.
Therefore, the largest possible value of f(8) is 14. This maximum value can be achieved by a function that is increasing at the maximum rate of 10 on the interval (4,8) and passes through the point (4,-6).
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help me please i really need it
The image of triangle EFG after rotation 90 degrees countercloeckwise is shown below.
We know that when we rotate a point P(x, y) 90 degrees counterclockwise about the origin then the coordinates of point after rotation becomes (-y, x)
Here the coordinates of the triangle EFG are:
E(4, -8)
F(4, -1)
G(3, -9)
We need to rotate triangle EFG 90 degrees counterclockwise.
With the help of above statement the coordinates of rotated triangle would be,
E'(8, 4)
F'(1, 4)
G'(9,3)
The transformed triangle is shown below.
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our Editon
A Convert the following.
3.4 km to meters
Answer:
3400
Step-by-step explanation:
3.4 x 1000 =3400
to go from km a big unit to meters a smaller unit, you multiply by 1000
6 Janelle prepara ponche de frutas mezclando los ingredientes que se indican a continuación. 5 pintas de jugo de naranja • 6 tazas de jugo de uva • 8 tazas de jugo de manzana ¿Cuántos cuartos de galón de ponche de frutas prepara Janelle? A 3 B 6 C 24 D 96
Doing some changes of units, we can see that the total volume is V = 1.5 gal
How many gallons of fruit punch Janelle makes?We know that the recipe that Janelle follows is the following one:
5 pints of orange juice.6 cups of grape juice.8 cups of apple juice.So we need to do some changes of units, we know that:
1 pint = 0.125 gal
Then:
5 pints = 5*(0.125 gal) = 0.625 gal
Then for the orange juice we have:
1 cup = 0.0625 gal
Then for the 14 cups of apple and grape juice we have:
14*(0.0625 gal) = 0.875 gal
Adding that we have the total volume:
0.625 gal + 0.875 gal = 1.5 gal
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which is not a likely task of descriptive statistics? multiple choice summarizing a sample making visual displays of data estimating unknown parameters
Out of the given options, the task that is not a likely task of descriptive statistics is "estimating unknown parameters."
Descriptive statistics is a branch of statistics that deals with the collection, analysis, and interpretation of data. It involves summarizing and presenting data in a meaningful way using measures of central tendency, variability, and other statistical tools.
This task is usually carried out in inferential statistics, which involves drawing conclusions about a population based on a sample.
Descriptive statistics, on the other hand, is focused on describing and summarizing the characteristics of a sample or population, rather than making inferences about it.
Therefore, while summarizing a sample, making visual displays of data, and presenting measures of central tendency and variability are all common tasks in descriptive statistics, estimating unknown parameters is not typically a part of descriptive statistics.
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