Why should be subtracted from (3/4 + 1/3 + 2/5) to get 1/2 ?

Formulating with the value of Sine and sides of a triangle we can find the distance between Pablo's head and the kite (perpendicularly above) to be 58.6 feet ( approximated to the nearest tenth).

It is given that Pablo is flying a kite with a string PK that is 129 feet long.

The string is inclined at an angle of elevation, O of 27 degrees.

Say, ∠POQ = 27°

From the diagram we can say that PK is the hypotenuse of an triangle formed namely POQ.

Say the distance between Pablo's head and the kite (perpendicularly above) be x (in feet).

We can find the value of x by application of sine as,

Sin Ф = Perpendicular / Hypotenuse

⇒ Sin 27° = x / 129

The value of Sin 27° is 0.454 ( approximated to 3 decimal places ).

⇒ 0.454 = x / 129

⇒ x = (0.454) ( 129)

⇒ x = 58.566

⇒ x = 58.6 ( approximated to the nearest tenth) in feet

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Equivalent ways for chi-square statistic: statistically significant relationship between the variables, reject null hypothesis, suggesting that the relationship in the population is not due to chance, The probability of observing the data by chance is 5% or less, supporting the presence of a relationship in the population.

If the p-value is 0.05 or less and the chi-square statistic is at least 3.84, it can be concluded that there is a significant relationship in the population. Another way to state this result is that the null hypothesis (that there is no relationship) can be rejected at a significance level of 0.05.

Based on your question, you would like to know equivalent ways to state the result when the chi-square statistic is at least 3.84 and the p-value is 0.05 or less. Here's my answer:

When the chi-square statistic is at least 3.84 and the p-value is 0.05 or less, we can conclude that the relationship in the population is real. Equivalent ways to state this result are:

1. There is a statistically significant relationship between the variables in the population.
2. We reject the null hypothesis, suggesting that the relationship in the population is not due to chance.
3. The probability of observing the data by chance is 5% or less, supporting the presence of a relationship in the population.

I hope this helps! Let me know if you need any further clarification.

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The probability that a randomly selected year of rain in Sydney, Australia has a yearly rainfall of 192.3 mm or more is approximately 0.2119, rounded to four decimal places.

To find the probability that a randomly selected year of rain in Sydney, Australia has a yearly rainfall of 192.3 mm or more, we need to standardize the value using the formula:
z = (x - μ) / σ
where x is the rainfall value we're interested in, μ is the mean rainfall, and σ is the standard deviation.
Plugging in the values, we get:
z = (192.3 - 137) / 69
z = 0.8043
Now we need to find the area under the standard normal distribution curve to the right of this z-score. Using a standard normal table or calculator, we find this to be 0.2119.

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Using the given information, we can list out all the possible pairs of candies:
AA, AB, AC, AD, BC, BD, CC, CO, DA, DC, DO, OB, OC
Therefore, the sample space for this experiment is {AA, AB, AC, AD, BC, BD, CC, CO, DA, DC, DO, OB, OC}.

I understand that you would like to know the sample space for getting two random candies at the same time from a candy machine with four types of candies: Apple (A), Blackberry (B), Cherry (C), and Double mint (D).
The sample space for this experiment is the set of all possible outcomes, which in this case is the set of all possible pairs of candies that can be obtained from the machine.
To determine the sample space, we need to list all possible combinations of two candies. Here they are:

1. AA
2. AB
3. AC
4. AD
5. BA
6. BB
7. BC
8. BD
9. CA
10. CB
11. CC
12. CD
13. DA
14. DB
15. DC
16. DD

The sample space for this experiment consists of 16 possible outcomes.

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The list can be shuffled as follows:

Two-dimensional (2D) shapes are shapes that have only the dimensions of width and length but lack depth or height.

Some examples of two-dimensional (2D) shapes are given below:

Due to their lack of depth, 2D shapes are flat and cannot be held in the hand.

Three-dimensional (3D) shapes are shapes that have the dimensions of width, length, and depth or height.

Some examples of three-dimensional (3D) shapes are given below:

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The number of popcorns that were sold at the concession stand, given the amount made, was 88 popcorns.

To find the number of popcorns that were sold, two equations are needed to show the relationship between the popcorn and nachos sold.

The equations assume x is popcorns and y is nachos:

x + y = 172

1.10 x + 2.35 y = 294.20

Using substitution:

y = 172 - x

Solve the second equation:

1. 10 x + 2. 35 ( 172 - x ) = 294. 20

1.10 x + 404. 20 - 2.35 x = 294. 20

- 1.25 x = - 110

x = 88

In conclusion, 88 popcorns were sold.

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The full question is:
At a concession stand, popcorn costs $1.10 and nachos cost $2.35. One

day, the receipts for a total of 172 popcorn and nachos were $294.20.

How many popcorns were sold?

Answer:

Step-by-step explanation:

10 20 30 40

The vector  is parallel to the plane the vector <3, -1, 2> is not orthogonal to the normal vector of the plane 6x - 2y + 4z = 1

To determine if the vector <3, -1, 2> is parallel to the plane 6x - 2y + 4z = 1, we need to check if the vector is orthogonal (perpendicular) to the normal vector of the plane.

Find the normal vector of the plane.
The normal vector of a plane is given by the coefficients of x, y, and z in the equation of the plane. In this case, the normal vector is <6, -2, 4>.

Check if the given vector is orthogonal to the normal vector.
Two vectors are orthogonal if their dot product is equal to 0. Let's compute the dot product between the given vector <3, -1, 2> and the normal vector <6, -2, 4>:

Dot product = (3 * 6) + (-1 * -2) + (2 * 4) = 18 + 2 + 8 = 28

Since the dot product is not equal to 0 (28 ≠ 0), the given vector <3, -1, 2> is not orthogonal to the normal vector of the plane.

The vector <3, -1, 2> is not orthogonal to the normal vector of the plane 6x - 2y + 4z = 1, which means it is parallel to the plane.

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The volume of the piñata is 3.375 cubic feet.

Now, To find the volume of the piñata, we need to calculate the volume of a cube.

Hence, We can do this by multiplying the length of one edge by itself three times.

In this case, each edge of the piñata is 1.5 feet long,

so we can write;

Volume of piñata = (1.5 feet) x (1.5 feet) x (1.5 feet)

Simplifying this expression, we get:

Volume of piñata = 3.375 cubic feet

Therefore, the volume of the piñata is 3.375 cubic feet.

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There are 12 possible outcomes when choosing a card at random from the bag.

When dealing with probability problems, it is important to understand the concept of possible outcomes. Possible outcomes are the number of different outcomes that can occur when an experiment is performed. In this case, the experiment is choosing a card at random from a bag that contains 12 cards.

Each card in the bag is uniquely numbered, and there are four cards of each color (red, white, and black), so there are 3 groups of four cards each. When we choose a card at random from the bag, there are 12 possible cards we could choose, each with a unique number and color.

The number of possible outcomes is the total number of cards in the bag, which is:

4 red cards + 4 white cards + 4 black cards = 12 cards

Therefore, there are 12 possible outcomes when choosing a card at random from the bag.

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The complete question is given below.

A bag contains four red cards numbered 1 through 4, four white cards numbered 1through 4, and four black cards numbered 1 through 4. You choose a card at random. What is the number of possible outcomes

To find the equation of the tangent line to the curve y = 5ex cos(x) at the point (0, 5), we need to find the slope of the tangent line at that point.

First, we find the derivative of y with respect to x:

dy/dx = 5ex (-sin(x)) + 5ex cos(x)

Next, we evaluate the derivative at x = 0:

dy/dx |x=0 = 5e0 (-sin(0)) + 5e0 cos(0) = 5

So the slope of the tangent line at (0, 5) is 5.

Now we use the point-slope form of the equation of a line to find the equation of the tangent line:

y - y1 = m(x - x1)

where m is the slope of the line and (x1, y1) is the given point.

Plugging in the values we have:

y - 5 = 5(x - 0)

Simplifying, we get:

y = 5x + 5

So the equation of the tangent line to the curve y = 5ex cos(x) at the point (0, 5) is y = 5x + 5.

Step 1: Find the derivative of the function y.
Given function y = 5e^x cos(x), we will differentiate it with respect to x using the product rule.

Product rule: (uv)' = u'v + uv'
Let u = 5e^x and v = cos(x).

Step 2: Find u' and v'.
u' = d(5e^x)/dx = 5e^x
v' = d(cos(x))/dx = -sin(x)

Step 3: Apply the product rule.
y' = u'v + uv'
y' = (5e^x)(cos(x)) + (5e^x)(-sin(x))
y' = 5e^x(cos(x) - sin(x))

Step 4: Find the slope of the tangent line at the given point (0, 5).
Substitute x = 0 in the derived equation.
y'(0) = 5e^0(cos(0) - sin(0)) = 5(1)(1 - 0) = 5

Step 5: Use the point-slope form to find the equation of the tangent line.
Point-slope form: y - y1 = m(x - x1)
Given point: (0, 5) => x1 = 0 and y1 = 5
Slope (m) = 5

Step 6: Plug the values into the point-slope form.
y - 5 = 5(x - 0)
y - 5 = 5x

Step 7: Rewrite the equation in slope-intercept form (y = mx + b).
y = 5x + 5

The equation of the tangent line to the curve y = 5e^x cos(x) at the point (0, 5) is y = 5x + 5.

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The probability that the defective product came from the plant C is 0.4412 or 44.12%

This was solved using Bayes Theorem.

Bayes Theorem is expressed as:

P (C |D) = P(D | C) x P(C)/P(D)

P (C |D) = Probability that the devective product is ffom Plant C

P (D| C) = probablity that a product from Plant C is devective

This is given as 1-0.85

= 0.15


P(C) = Probability a product is from Plant C= 0.5

P(D) = probability a product is defective


P (D  = P (D |  A) x P(A) +   P( D |B) * P (B ) + P(D |C) x P (C)

So we say

P(D|A) = 1  -0.75 =  0.25
P(A)  =  0.35
P( D|B) = 1-0.95 = 0.05; and
P(B)  = 0.15

Next we say based on the ab ove that:

P(D) =  0.25 x0.35  + 0.05 x0.15  + o.15 x  0.5

P D)= 0.17


So puting this into the Bayes Formula:

P (C|D) = 0.15 x 0.5/0.17

P (C|D = 0.44117647058
P (C|D) [tex]\approx[/tex] 0.4412


Thus, the probability that the defective product came from plact C is 44.12%

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Full Question:

Although part of your question is missing, you might be referring to this full question:

A certain firm has plants A, B, and C producing respectively 35%, 15%, and 50%, of the total output. The probabilities of a nondefective product are, respectively, 0.75, 0.95, and 0.85. A customer receives a defective product. What is the probability that it came from plant C?

Answer: y = |x|

Explanation :

It doesn't seem to be moved in translated in any way. The normal equation for this graph is y = |x|

Answer:

B. Teresa's work is correct, and it shows that matrix multiplication is NOT commutative.

Answer: This question is asking for your answer, so it is asking for a possibility of what the person responds with.

Step-by-step explanation:

Here is an example:

The school takes a survey on what snacks they should add

Sample:

I think that they should add healthier snacks like carrots.

The pair with different expressive power is deterministic push-down automata (DPDA) and non-deterministic push-down automata (NPDA), making the correct answer choice 'b only'.

Both DFA and NFA have the same expressive power, as they recognize the same class of languages, known as regular languages. It is possible to convert an NFA to an equivalent DFA using the powerset construction method, and both models can simulate each other effectively.

On the other hand, DPDA and NPDA have different expressive power because they recognize different classes of languages. DPDAs can recognize a subset of context-free languages called deterministic context-free languages, while NPDAs can recognize the entire class of context-free languages. There are certain context-free languages that NPDAs can recognize but DPDAs cannot, such as the classic example of a language consisting of balanced parentheses. This difference in expressive power shows that DPDAs and NPDAs are not equivalent in terms of their capabilities.

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The expression can be written as s = 12k.

Given that s varies directly with p,

Therefore,

s ∝ p

Let k be the proportionality constant,

s = kp

Now,

When, s = 36, p = 3

So,

36 = 3k

k = 12

therefore,

s = 12k

Hence, the expression can be written as s = 12k.

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Answer:

The answer to your problem is, Between 1 3/8 kg and 2 1/16 kg of nails

Step-by-step explanation:

2 3/4 kg as an improper fraction is 11/4 kg

1/2 of 11/4 = 1/2 x 11/4

= 11/8

= 1 3/8 kg

3/4 of 11/4 = 33/16

= 2 1/16 kg

1 3/8 kg and 2 1/16 kg of nails

Thus the answer to your problem is, Between 1 3/8 kg and 2 1/16 kg of nails

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

Given that,

A fair seven sided die is rolled.

We have to find the sample space of the rolling.

A sample space is a set of all the possible outcomes in a random experiment. It is usually denoted by the letter, S.

The subset of the sample space are events.

The die has the numbers marked from 1 to 7.

So when we roll the die,

The possible numbers are 1, 2, 3, 4, 5, 6, 7

Sample space = {1, 2, 3, 4, 5, 6, 7}

Hence the sample space is {1, 2, 3, 4, 5, 6, 7}.

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The empirical rule states that approximately 68% of the data falls within one standard deviation of the mean, approximately 95% falls within two standard deviations of the mean, and approximately 99.7% falls within three standard deviations of the mean.

So, if we want to find the approximate probability that a randomly selected x-value from the distribution is in a given interval, we need to determine how many standard deviations away from the mean the interval is and then use the empirical rule.

For example, let's say we want to find the approximate probability that a randomly selected x-value from the distribution is between 31 and 47.

First, we need to determine how many standard deviations away from the mean 31 and 47 are.

To do this, we can calculate the z-scores for each value using the formula:

z = (x - mean) / standard deviation

For x = 31:

z = (31 - 39) / 4 = -2

For x = 47:

z = (47 - 39) / 4 = 2

So, the interval from 31 to 47 is two standard deviations away from the mean.

Using the empirical rule, we know that approximately 95% of the data falls within two standard deviations of the mean. Therefore, the approximate probability that a randomly selected x-value from the distribution is between 31 and 47 is approximately 95%.

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Given that a student is a graduate student, the likelihood that they are a science major is roughly 0.72.

To calculate the probability of a student being a science major given they are a graduate student using the formula:

P(graduate) = (Number of graduate students) / (Total number of students) = 261 / 1073

P(science and graduate) = 188 / 1073

P(science graduate) = (P(science and graduate)) / P(graduate) = (188 / 1073) / (261 / 1073) = 188 / 261 ≈ 0.72

Therefore, the probability a student is a science major, given they are a graduate student is approximately 0.72.

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Answer:

South Africa = 32

England = 35

Step-by-step explanation:

Half time: South Africa gets 20 points. Which scored 5/8 of the total points.
Total points = 20 divided by 5/8 = 20 x 8/5 = 32.

England get 7 points at halftime in second half. England scored 4/5 of the total. England get 1 - 4/5 = 1/5 of total points at one half.

Total Points = 7 divided by 1/5 = 7x5 =35

hope this helps

The correct expansion of (3x – 2)(2[tex]x^2[/tex] + 5) is 3x • 2[tex]x^2[/tex] + 3x • 5 + (–2) • 2[tex]x^2[/tex] + (–2) • 5. Thus, option A is the right answer to the given question.

To expand an expression of multiplication of two variables to two variables is done as follows:

1. We take the first term of the first expression which in this case is 3x

2. We multiply it by the first term of the second expression. In this case, we get 3x • 2[tex]x^2[/tex].

3. Subsequently we multiply the first term with further terms and add them. In the given case, the expression we get is 3x • 2[tex]x^2[/tex] + 3x • 5

4. Then we take the second term of the first expression and repeat the above steps and add it to the existing equation.

We get x • 2[tex]x^2[/tex] + 3x • 5 + (–2) • 2[tex]x^2[/tex] + (–2) • 5 as the answer.

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The expression which represents the total cost of the tickets is given by the relation A = 3 x 12 + 7 x 10

Given data ,

Adult tickets: $10 per ticket

Children’s tickets: $8 per ticket

Service fee: $2 per ticket

Cost to mail the tickets: $10 for the entire order

The total number of adult tickets = 3

So , the cost of adult tickets = $ 30

The total number of children's ticket = 6

So , the cost of children's ticket = $ 48

And , the service fee of 9 tickets = $ 18

Now , the cost per order of tickets = $ 10

And the total cost = 30 + 48 + 18 + 10

A = $ 106

Now , the expression is A = 3 x 12 + 7 x 10

On simplifying , we get

A = 36 + 70 = 106

Hence , the expression is A = 3 x 12 + 7 x 10

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The hotel will cost $1,320 for 15 people for eight days.

Six people staying for 12 days is a total of 6 x 12 = 72 person-days. The cost of the hotel for this period is $792, so the cost per person per day is:

792 / 72 = $11 per person per day

It should be noted thatin order ro calculate the cost for 15 people staying for eight days, we need to first calculate the total person-days for this group:

15 x 8 = 120 person-days

120 person-days x $11 per person per day = $1,320

Therefore, the hotel will cost $1,320 for 15 people for eight days.

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six people can live in a hotel for 12 days for $792. How much will the hotel cost for 15 people for eight days?

The volume of the solid is 243/2 cubic units. To find the volume of the solid, we need to integrate the function z = 9 - y - x^2 over the bounded region in the first octant.

The region is bounded by the coordinate planes, so we have the limits of integration as follows:

0 ≤ x ≤ √9-y
0 ≤ y ≤ 9

The solid is bounded, so the integral will give us a finite volume:

V = ∫∫z dA, where the double integral is taken over the bounded region.

V = ∫[0,√9-y]∫[0,9] (9-y-x^2) dx dy

We can simplify the integrand by integrating with respect to x first:

V = ∫[0,9] ∫[0,√9-y] (9-y-x^2) dx dy
V = ∫[0,9] (9y - y^2 - 3(9-y)^2/2) dy
V = ∫[0,9] (-3y^2 + 54y - 243/2) dy
V = [-y^3/3 + 27y^2 - 243/2 y] [0,9]
V = 243/2

Therefore, the volume of the solid is 243/2 cubic units.

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The mean is calculated by adding up all the numbers in the data set and dividing by the total number of values. In this case, the sum of the numbers is 105 and there are 16 values, so the mean is 6.56 cups of coffee per week on average.

To find the median, we need to arrange the numbers in order from smallest to largest. The ordered list is: 1, 1, 2, 2, 3, 4, 5, 5, 6, 6, 7, 8, 8, 9, 9, 36. The median is the middle value, which is 6.

In this case, the median is a better measure of central tendency because the data set includes an outlier value of 36 cups per week. This single value skews the mean and makes it less representative of the majority of employees' coffee consumption. The median, on the other hand, is not affected by outliers and represents the middle value in the data set, which is more reflective of the typical coffee consumption for this office.

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b)There are 0.10608 experimental outcomes that result in exactly one defect being found.

c) The probabilities of finding no defects, exactly one defect, and two defects are:

P (no defects) = 0.8836
P (1 defect) = 0.10608
P (2 defects) = 0.0036

b. To find the number of experimental outcomes that result in exactly one defect being found:

We can use the binomial distribution formula. The formula is:

[tex]P(x) = (n choose x) * p^x * (1-p)^(n-x)[/tex]
where:
- P(x) is the probability of finding exactly x defects
- n is the total number of parts we select (in this case, n = 2)
- p is the probability of finding a defect in one part (in this case, p = 0.06)
- (n choose x) is the binomial coefficient, which represents the number of ways to choose x items out of n.

So for exactly one defect, we have:

[tex]P(1) = (2 choose 1) * 0.06^1 * (1-0.06)^(2-1) = 2 * 0.06 * 0.94 = 0.10608[/tex]
Therefore, there are 0.10608 experimental outcomes that result in exactly one defect being found.

c. To compute the probabilities associated with finding no defects, exactly one defect, and two defects:

We can use the same binomial distribution formula with different values of x:

- P(no defects): x = 0

[tex]P(0) = (2 choose 0) * 0.06^0 * (1-0.06)^(2-0) = 1 * 1 * 0.8836 = 0.8836[/tex]

Therefore, the probability of finding no defects is 0.8836.

- P(1 defect): we already calculated this in part b.

P(1) = 0.10608

Therefore, the probability of finding exactly one defect is 0.10608.

- P(2 defects): x = 2

[tex]P(2) = (2 choose 2) * 0.06^2 * (1-0.06)^(2-2) = 1 * 0.0036 * 1 = 0.0036[/tex]

Therefore, the probability of finding two defects is 0.0036.

In summary, the probabilities of finding no defects, exactly one defect, and two defects are:

P (no defects) = 0.8836
P (1 defect) = 0.10608
P (2 defects) = 0.0036

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