6 The probabilities of both questions are a.1/20, and b.9/20.
(a) To find the probability that both David and Mary hit the target, we can use the formula for independent events: P(A and B) = P(A) x P(B).
So, P(David hits the target) = 1/5, and P(Mary hits the target) = 1/4.
Therefore, P(both hit the target) = (1/5) x (1/4) = 1/20.
(b) To find the probability that the target will be hit at least once, we can use the formula P(A or B) = P(A) + P(B) - P(A and B).
So, P(David hits the target) = 1/5, and P(Mary hits the target) = 1/4.
Therefore, P(at least one hits the target) = P(David hits the target) + P(Mary hits the target) - P(both hit the target) = (1/5) + (1/4) - (1/20) = 9/20.
7. The probabilities of both questions are a.0.0625, and b.0.0588.
(a) If the first card is replaced, the probability of drawing a Heart on the first card is 13/52 (since there are 13 Hearts in a deck of 52 cards). After the first card is drawn and replaced, there are still 52 cards in the deck, with 13 of them being Hearts.
So, the probability of drawing a Heart on the second card is also 13/52.
Therefore, the probability of drawing two Hearts with replacement is (13/52) x (13/52) = 169/2704, which simplifies to 0.0625 (correct to 4 decimal places).
(b) If the first card is not replaced, the probability of drawing a Heart on the first card is 13/52 (since there are 13 Hearts in a deck of 52 cards). After the first card is drawn and not replaced, there are now only 51 cards left in the deck, with 12 of them being Hearts.
So, the probability of drawing a Heart on the second card is 12/51.
Therefore, the probability of drawing two Hearts without replacement is (13/52) x (12/51) = 156/2652, which simplifies to 0.0588 (correct to 4 decimal places).
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16 Suppose f e L1(R). (a) For t E R, define ft: R+R by ft(x) = f(x – t). Prove that lim||f – ft||1 = 0
t->0 (b) For t > 0, define ft: R → R by ft(x) = f(tx). Prove that lim||f - ft||1 = 0
t->1
If we choose ε > 0, we can find a δ such that ||f – ft||1 < ε for all t with 0 < |t - 1| < δ, and we have shown that lim||f - ft||1 = 0 as t -> 1.
(a) To prove that lim||f – ft||1 = 0 as t -> 0, we need to show that for any ε > 0, there exists a δ > 0 such that ||f – ft||1 < ε for all t with 0 < |t| < δ.
We have:
||f – ft||1 = ∫|f(x) – f(x – t)| dx
By the continuity of f, we know that for any ε > 0, there exists a δ > 0 such that |f(x) – f(x – t)| < ε whenever |t| < δ. Therefore:
||f – ft||1 = ∫|f(x) – f(x – t)| dx < ε∫dx = ε
This holds for all t with 0 < |t| < δ, so we have shown that lim||f – ft||1 = 0 as t -> 0.
(b) To prove that lim||f - ft||1 = 0 as t -> 1, we need to show that for any ε > 0, there exists a δ > 0 such that ||f – ft||1 < ε for all t with 0 < |t - 1| < δ.
We have:
||f – ft||1 = ∫|f(x) – f(tx)| dx
Using the change of variables y = tx, we can write this as:
||f – ft||1 = (1/t)∫|f(y/t) – f(y)| dy
Since f is integrable, it is also bounded. Let M be a bound on |f|. Then we have:
||f – ft||1 ≤ (1/t)∫|f(y/t) – f(y)| dy ≤ (1/t)∫M|y/t – y| dy = M|1 – t|
This holds for all t with 0 < |t - 1| < δ, where δ = ε/2M. Therefore, if we choose ε > 0, we can find a δ such that ||f – ft||1 < ε for all t with 0 < |t - 1| < δ, and we have shown that lim||f - ft||1 = 0 as t -> 1.
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QUESTION 4 RPM Choose one. 1 point My fan rotates at 143 RPM (Revolutions per minute), and it has been on for 87 seconds. How many times has it rotated? 143 O 87 230 O 207 6032 O 12441 1.64 A sword does 14 points of damage each second. An axe does 25 points of damage every 3 seconds. Which weapon will do more damage over the course of a minute? O Axe O Both are equal O Sword O Neither QUESTION 9 Probability Choose one. 1 point What is the percent probability of rolling a six on a single six sided die? For this, the spreadsheet should be displaying whole numbers. O 0.6 O 50% O 17% O 83% O 100%
The times it rotates is given by 207 rotations, the weapon that will do the more damage is sword and percent probability of rolling a six on a single six sided die is 17%.
Probability refers to potential. A random event's occurrence is the subject of this area of mathematics. The range of the value is 0 to 1. Mathematics has included probability to forecast the likelihood of certain events. The degree to which something is likely to happen is basically what probability means. You will understand the potential outcomes for a random experiment using this fundamental theory of probability, which is also applied to the probability distribution.
a) Number of rotation in 1min = 143
No of rotation in 60 seconds = 143
No. of rotation in 1 seconds = 143/60
number of rotation in 87 seconds = 143/60 x 87 = 207 rotations.
b) Sword damage 14 in 1 seconds
Axe damage is 25 in 3 seconds
so in 1 seconds it is 25/3
Sword damage in 1 min = 14 x 60 = 840 units
Axe damage in 1 min = 25/3 x 60 = 500 units
Swords will do more damage in 1 min .
c) Probability = No of favorable outcome / Total number of outcome x 100
= Total outcomes = {1, 2, 3, 4, 5, 6}
= 1/6 = 100
= 17%.
Therefore, percent probability is 17%.
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Simplify the expression (5 3/2*2 -1/2)^2
Answer:
Sure, I can help you with that! First, let's simplify the expression inside the parentheses:
5 3/2 * 2 - 1/2 = 5 * 3 - 1/2 = 14.5
Now we can substitute this value back into the original expression and simplify:
(14.5)^2 = 210.25
Therefore, the simplified expression is 210.25.
Step-by-step explanation:
Mr. Turner has two Algebra 1 classes. With one class, he lectured and the students took notes. In the other class, the students worked in small groups to solve math problems. After the first test, Mr. Turner recorded the student grades to determine if his different styles of teaching might have impacted student learning.
Class 1: 80, 81, 81, 75, 70, 72, 74, 76, 77, 77, 77, 79, 84, 88, 90, 86, 80, 80, 78, 82
Class 2: 70, 90, 88, 89, 86, 86, 86, 86, 84, 82, 77, 79, 84, 84, 84, 86, 87, 88, 88, 88
1. Analyze his student grades by filling in the table below. Which class do you think was the lecture and which was the small group? Why?
2. Draw histograms OR box plots to easily compare the shapes of the distributions.
3. Which measure of center and spread is more appropriate to use? Explain.
Answer:
1. Based on the grades, it is likely that Class 1 was the lecture class and Class 2 was the small group class. This is because the grades in Class 1 have a wider range (70-90) and a larger variance, while the grades in Class 2 are more tightly clustered together (82-90) and have a smaller variance.
2. Histograms or box plots could be drawn to compare the shapes of the distributions, but we cannot do this through text.
3. The most appropriate measure of center for these data sets is the mean, since the distributions are approximately symmetric. The most appropriate measure of spread for these data sets is the standard deviation, since the distributions are not strongly skewed and there are no extreme outliers.
Step-by-step explanation:
The correct values are,
Q1 Q2 IQR Mean Median MAD
Class 1 76.25 81.75 5.5 79.35 79.50 3.12
Class 2 84 88 4 84.60 86 3.85
What is mean by Subtraction?Subtraction in mathematics means that is taking something away from a group or number of objects. When you subtract, what is left in the group becomes less.
Now, The first step is to arrange the grades in the classes in ascending order.
Class 1: 70, 72, 74, 75, 76, 77, 77,77, 78, 79, 80, 80, 80, 81, 81, 82, 84, 86, 88, 90
Class 2: 70, 77, 79, 82, 84, 84, 84, 84, 86, 86, 86, 86, 86, 87, 88, 88, 88, 88, 89, 90
Hence, We get;
Q1 for class 1= 1/4(n + 1) = 21/4 = 5.25 = 76.25
Q2 for class 2 = 1/4(n + 1) = 5.25 = 84
Q3 for class 1= 3/4(n + 1) = 15.75 = 81.75
Q3 for class 2 = 3/4(n + 1) = 15.75 = 88
And,
IQR for class 1 = Q3 - Q1 = 81.75 - 76.25 = 5.50
IQR for class 2 = Q3 - Q1 = 88 - 84 = 4
Mean for class 1 = sum of grades / total number of grades = 1587 / 20 = 79.35
Mean for class 2 = sum of grades / total number of grades= 1692 / 20 = 84.6
Median for class 1 = (n + 1) / 2 = 21/2 = 10.5 = 79.50
Median for class 1 = (n + 1) / 2 = 21/2 = 10.5 = 86
Since, We know that;
MAD = 1/n ∑ l x - m(x) l
Where: n = number of observations
x = number in the data set
m = mean
Hence,
Mean absolute deviation for class 1 = 62. 3/ 20 = 3.12
Mean absolute deviation for class 2. = 77/ 20 = 3.85
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b. what information does the short-run supply curve convey? when used in conjunction with the average-variable-cost curve, what does the supply curve tell a firm about its profits? (2 points)
The short-run supply curve shows the quantity of output a firm is willing to supply at different market prices in the short run. It is typically upward sloping, meaning that as the price of the product increases, the firm is willing to produce and supply more units. This is because higher prices will allow the firm to cover its variable costs and potentially earn a profit.
When used in conjunction with the average variable cost (AVC) curve, the supply curve can give a firm valuable information about its profits. The AVC curve represents the average variable cost per unit of output, which includes the costs that vary with the level of production (such as labor and materials).
If the market price is above the AVC curve, the firm is covering all of its variable costs and may earn a profit. If the market price is below the AVC curve but still above the average total cost (ATC) curve, the firm is not covering all of its costs but is still producing because it is covering its variable costs. If the market price falls below the ATC curve, the firm is not covering all of its costs and is likely to shut down production in the short run.
Therefore, the supply curve in conjunction with the AVC curve allows a firm to determine whether it should produce and supply output in the short run based on the prevailing market price. If the market price is high enough to cover variable costs and potentially earn a profit, the firm will continue to produce. However, if the market price falls below the AVC curve, the firm will likely reduce or cease production to minimize losses.
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The sandbox was a foot tall, but the sand only was only filled up 3/4ths of the way. How many cubic feet of sand is there in the box?
The sandbox's 3/4ths fraction is full, the volume of sand can be found by multiplying the volume of the entire sandbox (0.33 ft³) by 3/4, which gives us 0.2475 ft³ of sand.
The area given (64 cm²) is the base of the sandbox, we can find the height of the sandbox in cm using the formula for the area of a rectangle: A = l × w.
Since the area is 64 cm², and we know that the sandbox has a rectangular base, we can assume the length and width are equal and each measure 8 cm.
Next, we need to convert the height of the sandbox from cm to feet. One foot is equal to 30.48 cm, so the sandbox is 0.33 feet tall (approximately). Since the sandbox is 3/4ths full, the volume of sand can be found by multiplying the volume of the entire sandbox (0.33 ft³) by 3/4, which gives us 0.2475 ft³ of sand.
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The sandbox was a foot tall, but the sand only was only filled up 3/4ths of the way with an area of 64 cm². How many cubic feet of sand are there in the box?
2. determine the shape factor, f12 , for the rectangles shown. (a) (10 points) perpendicular rectangle without common edge. (b) (10 points) parallel rectangles of unequal areas.
The final value is 0.67
(a) For a perpendicular rectangle without a common edge, the shape factor can be calculated using the formula:
f12 = min(w1, w2) / (h1 + h2)
where w1 and w2 are the widths of the rectangles and h1 and h2 are the heights.
In this case, the minimum width is 2 units, and the sum of the heights is 5 + 3 = 8 units. Therefore,
f12 = 2 / 8 = 0.25
(b) For parallel rectangles of unequal areas, the shape factor can be calculated using the formula:
f12 = (A2 / A1) * (h1 / h2)
where A1 and A2 are the areas of the rectangles and h1 and h2 are the heights.
In this case, the area of rectangle 1 is 24 square units (4 x 6) and the area of rectangle 2 is 16 square units (4 x 4). The heights are the same at 4 units. Therefore,
f12 = (16 / 24) * (4 / 4) = 0.67
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A particular fruit's weights are normally distributed, with a mean of 692 grams and a standard deviation of 23 grams. If you pick 12 fruit at random, what is the probability that their mean weight will be between 681 grams and 682 grams.
The probability that the mean weight of 12 fruit will be between 681 and 682 grams is 0.0184.
We can solve this problem by using the central limit theorem, which tells us that the distribution of sample means will be approximately normal if the sample size is sufficiently large.
First, we need to calculate the standard error of the mean:
standard error of the mean = standard deviation / sqrt(sample size)
= 23 / sqrt(12)
= 6.639
Next, we can standardize the sample mean using the formula:
z = (x - mu) / (standard error of the mean)
where x is the sample mean, mu is the population mean, and the standard error of the mean is calculated above.
z1 = (681 - 692) / 6.639 = -1.656
z2 = (682 - 692) / 6.639 = -1.506
Using a standard normal distribution table or calculator, we can find the probabilities corresponding to these z-scores:
P(z < -1.656) = 0.0484
P(z < -1.506) = 0.0668
The probability of the sample mean being between 681 and 682 grams is the difference between these probabilities:
P(-1.656 < z < -1.506) = P(z < -1.506) - P(z < -1.656)
= 0.0668 - 0.0484
= 0.0184
Therefore, the probability that the mean weight of 12 fruit will be between 681 and 682 grams is 0.0184.
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2/5 + 6/7 in the simplest form
Answer:
44/35
Step-by-step explanation:
this answer cannot be further simplified*
Which expressions have a value greater than 1? Choose all the correct answers.
Answer:
A, C, E
Step-by-step explanation:
To determine which expressions have a value greater than 1, evaluate the expressions following the order of operations (PEMDAS) and remembering the following:
The quotient of two negative numbers is always positive.The product of two negative numbers is always positive.The product of a negative and positive number is always negative.Expression A[tex]\;\;\;\:-\frac{1}{3} \div (-2)+4\\\\= -\frac{1}{3} \cdot \left(-\frac{1}{2}\right)+4\\\\=\frac{(-1) \cdot (-1)}{3 \cdot 2}+4\\\\= \frac{1}{6}+4\\\\= 4\frac{1}{6}[/tex]
Expression B[tex]\;\;\;-\frac{1}{3} \cdot (-2)-4\\\\= \frac{2}{3} -4\\\\= \frac{2}{3} -\frac{12}{3}\\\\= \frac{2-12}{3}\\\\= -\frac{10}{3}\\\\=-3\frac{1}{3}[/tex]
Expression C[tex]\;\;\:\:-\frac{1}{3} \cdot (-2-4)\\\\= -\frac{1}{3} \cdot (-6)\\\\=\frac{(-1)\cdot (-6)}3{}\\\\= \frac{6}{3} \\\\= 2[/tex]
Expression D[tex]\;\;\:\:-\frac{1}{3} \cdot (-2)(-4)\\\\= -\frac{1}{3} \cdot (8)\\\\=\frac{(-1) \cdot 8}{3}\\\\= -\frac{8}{3} \\\\= -2\frac{2}{3}[/tex]
Expression E[tex]\;\;\:\:-\frac{1}{3} + (-2)-(-4)\\\\= -\frac{1}{3} -2+ 4\\\\= -2\frac{1}{3} + 4\\\\=4 -2\frac{1}{3}\\\\= 1\frac{2}{3}[/tex]
Therefore, the expressions that have a value greater than 1 are:
A, C and E.A teacher asked Dwayne to find the values of x and y in the triangles shown. The teacher provided the following information about the triangles: • Triangle ABC is similar to triangle PQR. • In triangle ABC, cos(C) = 0.92. Dwayne claims that the value of x can be determined but the information provided is find the value of y.
Which statement about Dwayne's claim is accurate?
A.) His claim is correct because cos(C) = x/20 and 0.92 can be substituted for cos(C), but the cosine of
angle R is not given for triangle PQR.
B.) His claim is incorrect because cos(C) = 20/x, 0.92 can be substituted for cos(C), and since the triangles are similar, this ratio will be the same as y/45.
C.) His claim is incorrect because cos(C) = 20,0.92 can be substituted for cos(C), and since the triangles are similar, this ratio will be the same as 45/y.
A teacher asked Dwayne to find the values of x and y in the triangles shown. The teacher provided the following information about the triangles. Triangle ABC is similar to triangle PQR. In triangle ABC, cos(C) = 0.92. Dwayne claims that the value of x can be determined.
Hence, the correct option is A.
Since triangles ABC and PQR are similar, their corresponding angles are congruent and their corresponding sides are proportional. Therefore, we can set up the following proportion we get
AB/BC = PQ/QR
We can also use the cosine law to relate the angle C in triangle ABC to the length of side AB and BC.
cos(C) = ([tex]AB^2 + BC^2 - AC^2[/tex])/(2AB*BC)
We are given that cos(C) = 0.92, and we know that AC = 20, AB = x, and BC = y, so we can substitute these values into the cosine law we get
0.92 = ([tex]x^2 + y^2[/tex] - 400)/(2xy)
Simplifying this equation, we get
([tex]x^2 + y^2[/tex] - 400) = 1.84xy
We can also use the given information to relate x and y we get
cos(R) = y/45
However, we cannot use this equation to solve for y because we do not know the value of cos(R).
Therefore, Dwayne is correct in claiming that we can determine the value of x using the cosine law, but we cannot determine the value of y with the information provided. His claim is correct because cos(C) = x/20 and 0.92 can be substituted for cos(C), but the cosine of angle R is not given for triangle PQR.
Hence, the correct option is A.
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right triangles, find the exact values of x and y.
Step-by-step explanation:
the main triangle is an isoceles triangle (both legs are equally long). that means that the height y bergen the 2 legs splits the baseline in half.
therefore,
x = 10/2 = 5
Pythagoras gives us y.
c² = a² + b²
c being the Hypotenuse (the side opposite of the 90° angle). in our case 10.
a and b are the legs. in our case x and y.
10² = 5² + y²
100 = 25 + y²
75 = y²
y = sqrt(75) = 8.660254038...
find the range of this set of data
Answer:
24 is the answer
Step-by-step explanation:
add the numbers and divide them by 7
21+35+19+17+25+30+21/7168/724 is the answerOn a popular app, users rate hair salons as 1, 2, 3, 4, or 5 stars. Suppose a rating is randomly selected from all the ratings on the app, Let X be the number of stars of the selected rating. Here is the probability distribution of X. Value x of X 1 2 3 4 5 PIX-x) 0.25 0.19 0.09 0.21 0.26 For parts (a) and (b) below, find the probability that the randomly selected hair salon rating has the described number of stars. (a) At most 2:0 5 ? (b) More than 3: D
The probability of a randomly selected hair salon rating having at most 2 stars is 0.44,
The probability of having more than 3 stars is 0.47.
We have,
(a) To find the probability that the randomly selected hair salon rating has at most 2 stars, we need to add the probabilities for 1-star and 2-star ratings.
Based on the provided probability distribution,
P(X=1) = 0.25 and P(X=2) = 0.19.
The probability of a rating having at most 2 stars.
P(X ≤ 2) = P(X=1) + P(X=2)
= 0.25 + 0.19
= 0.44
(b)
To find the probability that the randomly selected hair salon rating has more than 3 stars, we need to add the probabilities for 4-star and 5-star ratings.
Based on the provided probability distribution, P(X=4) = 0.21 and P(X=5) = 0.26.
The probability of a rating having more than 3 stars.
P(X > 3) = P(X=4) + P(X=5)
= 0.21 + 0.26
= 0.47
Thus,
The probability of a randomly selected hair salon rating having at most 2 stars is 0.44, and the probability of having more than 3 stars is 0.47.
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An HR administrator wishes to know the proportion of employees that are currently using a very costly benefit to determine if it is still considered valuable by the staff. If the administrator has no preliminary notion of the proportion of employees using the benefit, how big a sample must she collect to be accurate within 0.09 at the 95% level of confidence?
Standard Normal Distribution Table
Round up to the next whole number
The HR administrator must collect a sample size of 108 employees to be accurate within 0.09 at the 95% confidence interval.
To determine the necessary sample size, we need to use the formula:
[tex]n = \frac{(z^2 )(p) (1-p)}{E^2}[/tex]
Where:
- n = sample size
- z = the z-score for the desired level of confidence (in this case, 1.96 for 95%)
- p = the estimated proportion of employees using the benefit (since we have no preliminary notion, we will use 0.5 as the most conservative estimate)
- E = the desired margin of error (0.09)
Plugging in these values, we get:
[tex]n = \frac{(1.96^2 )(0.5) (1-0.5)}{0.09^2}[/tex]
n = 107.92 = 108
We round up to the next whole number since we can't have a fraction of a person in our sample.
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What proportion can be used to find 65% of 200
the answer to your question is 130
Use the change of variables u=x2,v=y3,w=z�=�2,�=�3,�=� to find the volume of the solid enclosed by the ellipsoid x24+y29+z2=1�24+�29+�2=1 above the xy−��− plane
Answer: When we use the change of variables u=x2,v=y3,w=z�=�2,�=�3,�=� to find the volume of the solid enclosed by the ellipsoid x24+y29+z2=1�24+�29+�2=1 above the xy−��− plane, we are essentially transforming the original equation of the ellipsoid into a new equation that is easier to work with.
Step-by-step explanation:
The new equation becomes u/4+v/9+w/1=1. We can now use this equation to find the volume of the solid by integrating over the region in uvw-space that corresponds to the region in xyz-space above the xy−��− plane. This region is a solid bounded by a plane, two planes perpendicular to the uvw-axes, and the surface of the ellipsoid. To integrate over this region, we can use triple integrals in uvw-space.
The triple integral would have limits of integration of 0 to 1 for u, 0 to (1-4u/9) for v, and 0 to sqrt(1-4u/9-v) for w. Integrating this triple integral would give us the volume of the solid enclosed by the ellipsoid above the xy−��− plane. In summary, the change of variables transforms the original equation into a simpler equation that can be used to set up a triple integral to find the volume of the solid. The region of integration in uvw-space corresponds to the region in xyz-space above the xy−��− plane, and we can use triple integrals to integrate over this region and find the volume.
Using the change of variables u = x^2, v = y^3, w = z, we can rewrite the equation for the ellipsoid as u/24 + v/29 + w^2 = 1. We want to find the volume of the solid enclosed by this ellipsoid above the xy-plane, which means we're looking for the region where w ≥ 0.
To do this, we will set up a triple integral over the given region using the Jacobian determinant to transform from (x, y, z) coordinates to (u, v, w) coordinates. The Jacobian determinant is given by:
J = |(∂(x,y,z)/∂(u,v,w))| = |(∂x/∂u, ∂x/∂v, ∂x/∂w; ∂y/∂u, ∂y/∂v, ∂y/∂w; ∂z/∂u, ∂z/∂v, ∂z/∂w)|
Computing the partial derivatives, we get J = |(1/2, 0, 0; 0, 1/3, 0; 0, 0, 1)| = 1/6.
Now, we can set up the triple integral:
Volume = ∫∫∫(u, v, w) dudvdw
The limits of integration for u will be 0 to 24, for v will be 0 to 29, and for w will be 0 to 1.
Volume = (1/6) ∫(0 to 24) ∫(0 to 29) ∫(0 to 1) dudvdw
Calculating this triple integral, we find the volume of the solid enclosed by the ellipsoid above the xy-plane:
Volume ≈ 58.8 cubic units.
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what is the average rate of change of f(x)=3x^2-4 between x=2 and x=4?
The value of the average rate of change is,
⇒ f ' (x) = 14
We have to given that;
The function is,
⇒ f (x) = 3x² - 4
Now, We can formulate;
The value of the average rate of change as;
⇒ f ' (x) = f (4) - f (2) / (4 - 2)
⇒ f ' (x) = (3 × 4² - 4) - (3 × 2² - 4) / 2
⇒ f ' (x) = 44 - 16 / 2
⇒ f ' (x) = 28/2
⇒ f ' (x) = 14
Thus., The value of the average rate of change is,
⇒ f ' (x) = 14
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What is -047619047619 as a fraction
Which number is NOT written in scientific notation?
The notation of number 25.67 x [tex]10^{-2[/tex] is not written in the scientific notation.
Scientific notation is a way of writing very large or very small numbers using powers of 10. It has the form [tex]a X 10^n[/tex], where a is a number between 1 and 10 (or sometimes between -1 and -10), and n is an integer.
As mentioned earlier, scientific notation has the form [tex]a X 10^n[/tex], where a is a number between 1 and 10 (or sometimes between -1 and -10), and n is an integer. But is should be reduced to one decimal number.
Thus, 25.67 x [tex]10^{-2[/tex] is not written in scientific notation.
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A shelf and brackets are shown below. The shelf is perpendicular to the wall.
What angle(x), in degrees, does the bracket make with the wall?
show all work
The bracket makes an angle of approximately 51.48° degrees with the wall.
First, we can use the Pythagorean theorem to find the distance between the end of the bracket and the wall:
[tex]d = \sqrt{((3.2 ft)^2 - (2.5 ft)^2) }[/tex]≈ 1.99 ft
Now we can use the definition of the tangent function to find the angle x:
tan(x) = opposite / adjacent = 2.5 ft / 1.99 ft
Taking the arctangent of both sides, we get:
x = tan⁻¹(2.5 ft / 1.99 ft) ≈ 51.48°
Therefore, the bracket makes an angle of approximately 51.48° degrees with the wall.
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The school nurse at West Side Elementary School weighs all of the 230 children by the end of September. She finds that the students" weights are normally distributed with mean 98 and standard deviation 16. After compiling all the data, she realizes that the scale was incorrect--it was reading two pounds over the actual weight. She adjusts the records for all 230 children. What is the correct mean?
The correct mean adjusts in the records for all 230 children is 96 pounds
The given issue includes finding the right cruel weight of the 230 children after adjusting for the scale blunder. The first mean weight is given as 98 pounds, but we got to alter for the scale blunder of 2 pounds that the scale was perusing over the genuine weight.
To correct the scale mistake, we ought to subtract 2 pounds from each child's recorded weight. This will shift the complete conveyance of weights by 2 pounds to the cleared out, so the unused cruel weight will be lower than the first cruel weight.
The first cruel weight is given as 98 pounds, but we got to alter for the scale blunder:
Rectified mean weight = Original cruel weight - Scale blunder
Rectified mean weight = 98 - 2
Rectified mean weight = 96 pounds
Subsequently, the proper cruel weight of the children after altering the scale blunder is 96 pounds. This implies that on normal, the children weighed 96 pounds rather than 98 pounds as initially recorded.
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The relationship between training costs (x) and productivity () is given by the following formula, y -3x + 2x2 + 27. a. Will Nonlinear Solver be guaranteed to identify the level of training that maximizes productivity? Ο Nο Yes b. If training is set to 5, what will be the resulting level of productivity? (Round your answer to the nearest whole number.) Level of productivity
a. Yes. Nonlinear Solver will be guaranteed to identify the level of training that maximizes productivity b. If training is set to 5, the resulting level of productivity is 62.
a. Yes, Nonlinear Solver will be guaranteed to identify the level of training that maximizes productivity.
This is because the formula given is a quadratic equation with a positive coefficient for the x-squared term (2x2), indicating a concave upward curve. The maximum point of a concave upward curve is always at the vertex, which can be found using the Nonlinear Solver.
b. If training is set to 5, the resulting level of productivity can be found by substituting x=5 into the equation:
y = -3x + 2x^2 + 27
y = -3(5) + 2(5)^2 + 27
y = -15 + 50 + 27
y = 62
Therefore, the resulting level of productivity when training is set to 5 is 62 (rounded to the nearest whole number).
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If the price charged for a candy bar is p(x) cents, then x thousand candy bars will be sold in a certain city, where p(x)=151-x/10. a. Find an expression for the total revenue from the sale of x thousand candy bars. b. Find the value of x that leads to maximum revenue. c. Find the maximum revenue.
Answer:
(a) The total revenue from the sale of x thousand candy bars is equal to the product of the price charged for a candy bar and the number of candy bars sold. If p(x) is the price charged for a candy bar in cents, then the revenue R(x) in dollars is given by:
R(x) = (p(x) * 1000x) / 100
R(x) = (151 - x/10) * 100x
R(x) = 15100x - 1000x^2
Therefore, the expression for the total revenue from the sale of x thousand candy bars is R(x) = 15100x - 1000x^2 dollars.
(b) To find the value of x that leads to maximum revenue, we need to find the value of x for which R(x) is maximum. We can do this by finding the derivative of R(x) with respect to x, setting it equal to zero, and solving for x. So:
R'(x) = 15100 - 2000x
Setting R'(x) equal to zero, we get:
15100 - 2000x = 0
Solving for x, we get:
x = 7.55
Therefore, the value of x that leads to maximum revenue is 7.55 thousand candy bars.
(c) To find the maximum revenue, we substitute x = 7.55 into the expression for R(x):
R(7.55) = 15100(7.55) - 1000(7.55)^2
R(7.55) = $57042.50
Therefore, the maximum revenue is $57,042.50 when 7.55 thousand candy bars are sold.
Step-by-step explanation:
The maximum revenue from the sale of candy bars in the city is $84,375. a. The expression for total revenue from the sale of x thousand candy bars can be found by multiplying the price per candy bar by the number of candy bars sold:
Total revenue = p(x) * x
Substituting the given equation for p(x), we get:
Total revenue = (151 - x/10) * x
b. To find the value of x that leads to maximum revenue, we need to take the derivative of the revenue function and set it equal to zero:
d/dx (151x - x^2/10) = 0
Simplifying and solving for x, we get:
x = 750
c. To find the maximum revenue, we substitute the value of x obtained in part (b) into the revenue function:
Total revenue = (151 - 750/10) * 750 = $84,375
Therefore, the maximum revenue from the sale of candy bars in the city is $84,375.
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What is the probability that a random
point on AK will be on CH?
-10
B
C D E
-8 -6
-4 -2
F G H I I J
K
+++
0 2 4 6 8
P=[?]
10
Enter
The probability that a random point on AK will be on CH is 1/2
What is probability?A probability is a number that reflects the chance or likelihood that a particular event will occur. The certainty of an event is 1 and it is equal to 100% in percentage.
probability = sample space /total outcome
The total outcome is the range of AK.
range = highest - lowest
= 10-(-10) = 10+10 = 20
sample space of CH = 4-(-6)
= 4+6 = 10
Therefore probability that a random point on AK will be on CH is 10/20
= 1/2
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The probability of spinning a blue colour on a spinner is 0.4 Find the probability of not spinning a blue colour.
Answer:
0.6
Step-by-step explanation:
WE KNOW THAT
P(E)+P(F)=1
P(E)=0.4
NOW
P(E)+P(F)=1
0.4+P(F)=1
P(F)=0.6
HENCE THE PROBABILITY OF NOT SPINNING A BLUE COLOUR IS 0.6
Probability of not spinning a blue colour is 0.6
We know that sum of all Probability is 1,
So the probability of not spinning a blue is = 1 - Probability of spinning a blue colour.
Putting values we get, = 1 - 0.4 = 0.6
Hence the probability of not spinning a blue colour is 0.6
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8
6
15
B
10
Volume =
Surface Area =
Answer:
I assume you trying to find a surface area (tell me if I'm wrong. okay?
Step-by-step explanation:
V = (1/2)bhL
where b is the base of the triangle, h is the height of the triangle, and L is the length of the prism.
The formula for the surface area of a triangular prism is:
SA = bh + 2(L + b)s
where b and h are the same as above, L is the length of the prism, and s is the slant height of the triangle.
To use these formulas, we need to identify the values of b, h, L, and s from the given dimensions. The base of the triangle is 8 units, the height of the triangle is 6 units, and the length of the prism is 15 units. The slant height of the triangle can be found using the Pythagorean theorem:
s^2 = b^2 + h^2 s^2 = 8^2 + 6^2 s^2 = 64 + 36 s^2 = 100 s = sqrt(100) s = 10
Now we can plug these values into the formulas and simplify:
V = (1/2)bhL V = (1/2)(8)(6)(15) V = (1/2)(720) V = 360
SA = bh + 2(L + b)s SA = (8)(6) + 2(15 + 8)(10) SA = 48 + 2(23)(10) SA = 48 + 460 SA = 508
Therefore, the volume of the triangular prism is 360 cubic units and the surface area is 508 square units.
[tex]f(x)=\frac{x^{2} }{x+1}[/tex]
Find the derivative of [tex]f(x)[/tex] by using first principles.
Step-by-step explanation:
which of the principles and the question is not clear i saw something different before i clicked on it
Answer:
[tex] \dfrac{x^2 + 2x}{(x + 1)^2} [/tex]
Step-by-step explanation:
[tex] f(x) = \dfrac{x^2}{x + 1} [/tex]
[tex] \dfrac{d}{dx} \dfrac{x^2}{x + 1} = [/tex]
[tex] = \dfrac{d}{dx} [(x^2)(x + 1)^{-1}] [/tex]
[tex]= (x^2)(-1)(x + 1)^{-2} + (x + 1)^{-1}(2x)[/tex]
[tex] = \dfrac{-x^2}{(x + 1)^{2}} + \dfrac{2x}{x + 1} [/tex]
[tex] = \dfrac{-x^2}{(x + 1)^{2}} + \dfrac{2x^2 + 2x}{(x + 1)^2} [/tex]
[tex] = \dfrac{x^2 + 2x}{(x + 1)^2} [/tex]
A population of 80 rats is tested for 4 genetic mutations after exposure to some chemicals: mutation A, mutation B, mutation C, and mutation D. 43 rats tested positive for mutation A. 37 rats tested positive for mutation B. 39 rats tested positive for mutation C. 35 rats tested positive for mutation D. One rat tested positive for all four mutations, 5 rats tested positive for mutations A, B, and C. 4 rats tested positive for mutations A, B, and D. 6 rats tested positive for mutations A, C, and D. 3 rats tested positive for mutations B, Cand D. 64 rats tested positive for mutations A or B. 63 rats tested positive for mutations A or C.59 rats tested positive for mutations A or D. 58 rats tested positive for mutations B or C. 59 rats tested positive for mutations B or D. 60 tested positive for mutations Cor D. 8 rats did not show any evidence of genetic mutation What is the probability that if 5 rats are selected at random, 3 will have exactly 2 genetic mutations? Round your answer to five decimal places.
Answer:
To solve this problem, we need to use the concept of hypergeometric distribution, which gives the probability of selecting a certain number of objects with a specific characteristic from a population of known size without replacement. We will use the formula:
P(X = k) = [ C(M, k) * C(N - M, n - k) ] / C(N, n)
where:
P(X = k) is the probability of selecting k objects with the desired characteristic;
C(M, k) is the number of ways to select k objects with the desired characteristic from a population of M objects;
C(N - M, n - k) is the number of ways to select n - k objects without the desired characteristic from a population of N - M objects;
C(N, n) is the total number of ways to select n objects from a population of N objects.
In our case, we want to select 5 rats out of a population of 80, and we want exactly 3 of them to have 2 genetic mutations. We can calculate this probability as follows:
P(3 rats have exactly 2 mutations) = [ C(12, 3) * C(68, 2) ] / C(80, 5)
where:
M is the number of rats that have exactly 2 mutations, which is the sum of the rats that have mutations AB, AC, AD, BC, BD, and CD, or M = 5 + 6 + 4 + 3 + 3 + 1 = 22;
N - M is the number of rats that do not have exactly 2 mutations, which is the remaining population of 80 - 22 = 58 rats;
n is the number of rats we want to select, which is 5.
We can simplify this expression as follows:
P(3 rats have exactly 2 mutations) = [ C(12, 3) * C(68, 2) ] / C(80, 5)
= [ (12! / (3! * 9!)) * (68! / (2! * 66!)) ] / (80! / (5! * 75!))
= 0.03617
Therefore, the probability that if 5 rats are selected at random, 3 will have exactly 2 genetic mutations is 0.03617 (rounded to five decimal places).
8. Based on data from the National Health Board, weights of men are normally distributed with a mean of 178 lbs, and a standard deviation of 26 lbs. Find the probability that 20 randomly selected men will have a mean weight between 170 and 185. [3]
The probability that the mean weight of 20 randomly selected men is between 170 and 185 lbs is approximately 0.7189 or approximately 72%.
To solve this problem, we need to use the formula for the sampling distribution of the mean, which states that the mean of a sample of size n drawn from a population with mean μ and standard deviation σ is normally distributed with a mean of μ and a standard deviation of σ/sqrt(n).
In this case, we have a population of men with a mean weight of 178 lbs and a standard deviation of 26 lbs. We want to know the probability that 20 randomly selected men will have a mean weight between 170 and 185 lbs.
First, we need to calculate the standard deviation of the sampling distribution of the mean. Since we are taking a sample of size 20, the standard deviation of the sampling distribution is:
σ/sqrt(n) = 26/sqrt(20) = 5.82
Next, we need to standardize the interval between 170 and 185 lbs using the formula:
z = (x - μ) / (σ/sqrt(n))
For x = 170 lbs:
z = (170 - 178) / 5.82 = -1.37
For x = 185 lbs:
z = (185 - 178) / 5.82 = 1.20
Now we can use a standard normal distribution table (or a calculator) to find the probability of the interval between -1.37 and 1.20:
P(-1.37 < z < 1.20) = 0.8042 - 0.0853 = 0.7189
Therefore, the probability that 20 randomly selected men will have a mean weight between 170 and 185 lbs is 0.7189 or approximately 72%.
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