A three-column table is given.


Part 8 B D
Part 10 15 45
Whole A C 81


What is the value of C in the table?
18
27
24
71

Answer: To find the mean of the data set, you need to calculate the sum of the products of each length and its corresponding frequency, and then divide that sum by the total number of roses.

Using the data set given, the sum of the products is:

(2 * 22) + (4 * 23) + (5 * 24) + (3 * 25) + (1 * 26) = 221

The total number of roses is:

2 + 4 + 5 + 3 + 1 = 15

Therefore, the mean length of the roses is:

221 / 15 = 14.73 ≈ 24 cm

So, the answer is 24 cm.

Step-by-step explanation:

Answer:

24 but the test is wrong

Step-by-step explanation:

Soooo i dont know what the answer in the test is but the answer is 24. If you add them all up, 22 23 24 25 26, you get 120 which you then divide by  5. I dont know what the test wants u to answer tho.

Answer:

3000

Step-by-step explanation:

you would multiply 500 times 60 because there are 60 minutes per hour

The inverse function is R(L) = (360 - L)/15. It will take 8 weeks to pay loan if student owes $240 and 24 weeks to pay off the whole loan.

A. Let's start by defining the function L(w) as the amount owed w weeks after the student borrows the money. The student borrowed $360 and agreed to pay $15 per week, so the amount owed after w weeks can be calculated as:

L(w) = $360 - $15w

B. To find the inverse of function L, we need to switch the roles of the input and output variables. Let's call the inverse function R, where R(L) is the number of weeks it takes to pay off the loan if the amount owed is L. We can solve the equation from part A for w:

L(w) = $360 - $15w

$15w = $360 - L

w = (360 - L)/15

Therefore, the inverse function R(L) is:

R(L) = (360 - L)/15

This function tells us how many weeks it will take to pay off the loan for a given amount owed. For example, if the student owes $240, we can plug that into the inverse function to find out how many weeks it will take to pay off the loan:

R($240) = (360 - 240)/15 = 8

So it will take 8 weeks to pay off the loan if the student owes $240.

C. To find out how many weeks it will take to pay off the loan, we need to find the value of w when L(w) = 0 (i.e., when the loan is fully paid off). We can set L(w) = 0 and solve for w:

L(w) = $360 - $15w = 0

$15w = $360

w = 24

So it will take 24 weeks to pay off the loan.

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SSS, or Side-Side-Side Similarity, is what makes these two triangles alike.

A right triangle's hypotenuse is its longest side, its "opposite" side was the one that faces a specific angle, and its "adjacent" side is the one that faces the angle in question. To define the edges of right triangles, we use specific terminology.

A triangle represents a closed, three-sided object in two dimensions. The various kinds of circles go by various titles. Three different kinds of triangles—scalene, isosceles, and equilateral—are distinguished by the lengths of their sides.

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Option C is the correct answer.

When x=-20, the argument of the logarithm is 5x=-100, which is negative. Therefore, the logarithm is not defined and -20 is not a solution to the equation.

No, -20 is not a valid solution to the equation -6 + 2log(-5x) = -2.
To verify, substitute -20 for x in the original equation:

-6 + 2log(-5(-20)) = -2
-6 + 2log(100) = -2
-6 + 4 = -2
This is not a true statement, so -20 is not a valid solution.
Furthermore, note that the argument of the logarithm in the original equation must be positive. Thus, we need to ensure that -5x > 0, which means x < 0.

To solve the equation, we can start by isolating the logarithmic term:

-6 + 2log(-5x) = -2
2log(-5x) = 4
log(-5x) = 2

Now we can exponentiate both sides using the definition of logarithms:

-5x = [tex]10^2[/tex]
-5x = 100
x = -20

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A dummy variable is used as an independent variable in a regression model when the variable involved is nominal.

What is a dummy variable?A dummy variable, also known as an indicator variable, is a binary variable (having only two possible values). It is used to distinguish between groups or categories. It is used to investigate the effect of the predictor on the response in regression analysis.

In a regression model, a dummy variable is used as an independent variable when the variable involved is nominal. In regression analysis, the independent variable is the variable that is being tested to determine if it has a relationship with the dependent variable (the outcome variable).

The independent variable is also referred to as the predictor variable, while the dependent variable is referred to as the response variable.  

Thus, the answer is: the variable involved is nominal

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The doctor goes home at 5 pm if all patients are finished before 5 pm.

The possible values of t are from 0 to 300.

Let t be the time exceeding 5 pm in minutes.

Therefore, we have to find the expected time for the doctor to go home after the last patient has been served, or at 5 pm if all patients are finished before 5 pm.

We will determine its pmf as well.

Expected time that the doctor will go home

The doctor goes home at 5 pm if all patients are finished before 5 pm.

Let the doctor takes x amount of time to see the patients in hours.

Then the total time taken to see n patients will be xn.

If the doctor sees n patients in the first x hours and leaves the remaining patients, then the time will be (n-x) hours.

The total time that the doctor will go home will be given as:

{(n-x)x} + (n-x) if (n-x) > 0

Otherwise, the doctor will go home at 5 pm.

The pmf of t

To find the possible values of t, we need to find the minimum and maximum value of x.

{(n-x)x} + (n-x) if (n-x) > 0 will be greater than 0 when x is less than n/2.

Therefore, the possible values of t are from 0 to 300.

We know that t is defined as the time exceeding 5 pm in minutes.

pmf of t is given as :

P(t = 0) = P(all patients are done before 5 pm) = 1/32

P(t = i) = P(last patient finishes at 5pm + i minutes) = 31/32 × (1/300) for i = 1, 2, 3, ..., 299.

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This histogram shows that the majority of the data falls between 20 and 80, with a peak around 30-35. However, it is possible that a different bin width or starting point could reveal other interesting features of the data set.

To create a histogram, you need to divide the data into intervals, also known as bins, and then count the number of data points that fall into each bin. The goal is to choose a bin width that will clearly show the distribution of the data. One common rule of thumb for choosing the bin width is to use the square root of the number of data points. In this case, the square root of 11 is approximately 3.32, so we might start by using a bin width of 4. To choose the first interval, we need to decide where to start the first bin. One approach is to start at the minimum value of the data set and then create bins of equal width that extend to the right. Another approach is to use a "nice" number, such as a multiple of the bin width, as the starting point.

  7 20

  | ||

30-| ||

  | ||

25-| ||

  | ||

20-| ||

  | ||

15-| ||

  | ||

10-| ||

  | ||

5-|_||__

   5  9

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Step-by-step explanation:

3x²+9x-30=0

-(9)+\-√(9)²-4(3)(-30)

=_________________

2(3)

=. x=2. or. X=-5

The student's original statement has an issue in the way the "not" operator is used. The "not" operator (!) is negating the entire expression, including the variable 'x', rather than just the inequality. This leads to incorrect evaluation.

To correctly determine if x is not greater than 20, you should use the "less than or equal to" (<=) operator instead. Here is the corrected statement:

if (x <= 20)

This statement will be true if x is less than or equal to 20, which is the intended condition.

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The conical mound of soil therefore contains 254.34 cubic meters of substance.

How much a receptacle contains can be determined by looking at its volume. Volume is calculated as follows: volume = length x breadth x height.

The following is the algorithm for a cone's volume:

V = (1/3)πr²ⁿ

where,

Substituting the given values, we get:

V = (1/3) x 3.14 x 9²*³

V = 254.34 cubic meters

Therefore, there are 254.34 cubic meters of material in the conical pile of dirt.

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Based on the attached figure, the volume of the composite figure is 408 cm³

A composite figure is a three-dimensional shape that is made up of two or more simpler shapes.

To find the volume of a composite figure, you need to break it down into its simpler shapes and then use the appropriate formulas to calculate the volume of each individual shape

The volume of the composite figure is:

Volume = area of base * height

Substituting:

Base area = (14 * 3) + (1/2)(5 + (14-6))(7 - 3) = 68 cm²; height = 6 cm

So, we have

Volume = area of base * height = 68 cm² * 6 cm = 408 cm³

This means that

The volume is 408 cm³

Hence, the volume is 408 cm³

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Let's assume that Gabriella traveled $x$ hours at 30 mph and $y$ hours at 10 mph. We know that the total trip took 8 hours, so we can write an equation based on the time:

$$x+y=8$$

We also know that the distance traveled going to the restaurant is the same as the distance traveled coming back home. Let's call this distance $d$. We can use the formula $d=rt$ to express this relationship:

$$30x=10y$$

Now we have two equations with two unknowns:

$$\begin{aligned} x+y&=8 \ 30x&=10y \end{aligned}$$

We can solve for $x$ and $y$ by using substitution. Solving the second equation for $y$, we get:

$$y=3x$$

Substituting this expression for $y$ in the first equation, we get:

$$\begin{aligned} x+3x&=8 \ 4x&=8 \ x&=2 \end{aligned}$$

Therefore, Gabriella traveled 2 hours at 30 mph and 6 hours at 10 mph.

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The R. Davis children are preparing for a relay event in which they will compete in a 1/3 mile relay race. The opening round of the competition will include three kids who will compete in the race.

This means that in the relay event, each kid will have to run 1/9th of a mile. Students will need to improve on their speed, endurance, and coordination in order to prepare for the race. They must be able to effortlessly deliver the baton from one runner to another, maintain their speed throughout the race, and push themselves to the maximum. In addition to physical preparation, students must improve their mental focus and motivation. They will do so.  need to stay positive and motivated throughout the race, and work as a team to achieve their goals.

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What is the scenario for R. Davis students in the relay tournament? How many students will run in the first round of the tournament, and what is the distance they will cover?

Answer:

Karen needed to put 5 gallons 3 quarts of gas into her boat on Monday and twice as much on Saturday. To convert 5 gallons 3 quarts to gallons, we can add the number of quarts to the number of gallons and convert the total to gallons. Therefore, 5 gallons 3 quarts is equal to 5 + 3/4 = 5.75 gallons. Twice as much is 2 x 5.75 = 11.5 gallons. Therefore, Karen needed a total of 5.75 + 11.5 = 17.25 gallons of gas for both days. Since she had an 18-gallon jug of gas available, she had enough gas for both days.

Answer: Elise ran faster.

Step-by-step explanation:

Elise 2 mi in 15 min

Tengan 3 km in 15 min

We need to covert the miles (mi) or kilometers (km) so that they are both the same. You should know that 1 mi = 1.6 km. After you convert the measurements, you can compare. Since they both are measured in minutes, you don't have to worry about that, but if they aren't you should convert it one or the other, so that they are the same.

2 mi = 3.2 km (Elise)

3 km (Tengan)

Elise is 0.2 faster than Tengan.

Answer:

Elise ran faster

Step-by-step explanation:

Elise ran faster because 3 kilometers is equal to 1.86 miles. 2 miles is equal to 3.22 kilometers.

The given interval suggests that the mean number of porcupine teeth marks on all wooden blocks treated with the repellent is less than 6 since the upper limit of the interval is 5.8. This claim falls within the given interval and is supported by the data. Therefore, we can say that the mean number of porcupine teeth marks on all wooden blocks treated with the repellent is less than 6 based on the 95 percent confidence interval (4.9,5.8).

In the given scenario, a sample of 20 wooden blocks treated with a liquid repellent designed to reduce damage caused by porcupines were left outside in an area where porcupines are known to live. After some time, the blocks were inspected for the number of porcupine teeth marks visible. The data collected was then used to create the 95 percent confidence interval (4.9,5.8).

The 95 percent confidence interval can be defined as a range of values that we can be 95 percent confident the true population parameter falls within. In this case, the true population parameters is the mean number of porcupine teeth marks on all wooden blocks treated with the repellent.

From the given interval, we can conclude that we are 95 percent confident that the true mean number of porcupine teeth marks on all wooden blocks treated with the repellent is between 4.9 and 5.8.

Therefore, any claim that falls within this interval is supported by the data.

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Out of a random sample of 1,000 Dutchmen, we would expect around 63 to be taller than 188 cm. This can be determined by using the standard normal distribution and probability, expecting the 159 Dutchmen to be taller than 188 cm

The standard normal distribution is a normal distribution with a mean of 0 and a standard deviation of 1. A normal distribution is a bell-shaped curve that is symmetrical around the mean. A normal distribution is used to model various natural phenomena.

Probability is the likelihood or chance of an event occurring. Probability is usually expressed as a fraction, decimal, or percentage. Probability is used in many fields such as mathematics, physics, statistics, and finance.

The given problem can be solved by converting 188 cm to a z-score and then finding the probability using a standard normal distribution table.

The z-score formula is given by:

z = (x - μ) / σwhere x = 188, μ = the mean height of Dutch men, and σ = the standard deviation of height for Dutchmen.

Let's assume that the mean height of Dutchmen is 180 cm and the standard deviation is 8 cm.

z = (188 - 180) / 8

z = 1

Therefore, the z-score for a height of 188 cm is 1.

Using a standard normal distribution table, we can find the probability of a man being taller than 188 cm as approximately 0.1587.

Therefore, in a random sample of 1,000 Dutchmen, we would expect approximately 0.1587 x 1,000 = 158.7 men to be taller than 188 cm. Rounded to the nearest integer, we would expect 159 Dutchmen to be taller than 188 cm.

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At Game 7, the attendance for the basketball team had declined by 5% x 6 games = 30% and This means that the attendance at Game 7 was 23,500 x (1 - 0.3) = 16,450 people.

The attendance for a basketball team declined at a rate of 5% per game throughout a losing season. This means that for every game, the attendance dropped by 5% in comparison to the attendance of the game before it.

15 games were played in the season and 23,500 people were at the first game. To calculate the attendance at Game 7, we first need to calculate the total amount that the attendance had declined by by the 7th game.

This can be done by multiplying the rate of decline (5%) by the number of games that had passed (6 games). This gives us a total decline of 30%. We then need to calculate the attendance at Game 7 by subtracting the total decline from the initial attendance.

This can be done by multiplying the initial attendance (23,500) by (1 - 0.3), which gives us 16,450 people. Therefore, the attendance at Game 7 was 16,450 people.

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Depending on whether the attendance increases or decreases by 10% in 2022, the effect on attendance at the beginning of 2022 will be an increase of 13.3% or a decrease of 7.3%, respectively, compared to the baseline of 100 patients in 2020.

To calculate the effect of the increase and decrease percentages on hospital attendance at the beginning of the year 2022, we need to consider the starting attendance level in 2020 as the baseline.

Let's assume that the hospital attendance in 2020 was 100 patients.

Due to the pandemic, the hospital attendance decreased by 12%, which means that the hospital attendance in 2020 was (100 - 12) = 88 patients.

In 2021, the attendance increased by 15%, which means that the hospital attendance in 2021 was (88 + 15) = 103 patients.

Now, to calculate the effect of the increase/decrease percentage on attendance at the beginning of 2022, we need to consider two scenarios:

If the attendance increases by 10% in 2022:

The attendance at the beginning of 2022 will be (103 + 10% of 103) = 113.3 patients. The increase from the baseline will be[tex]\frac{(113.3 - 100)}{100} = 13.3[/tex] %.

If the attendance decreases by 10% in 2022:

The attendance at the beginning of 2022 will be (103 - 10% of 103) = 92.7 patients. The decrease from the baseline will be [tex]\frac{(100 - 92.7)}{100} = 7.3[/tex] %.

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We know that m∠1 and m∠2 are positive angles that add up to 17 degrees, so the only possible pair of values is: m∠1 = 35°, m∠2 = 30° that is option 2.

A triangle is a polygon with three sides and three angles. It is a two-dimensional shape with three straight sides that intersect at three vertices. The sum of the interior angles of a triangle is always 180 degrees. Triangles can be classified based on the lengths of their sides and the measures of their angles. Some common types of triangles include equilateral triangles, isosceles triangles, scalene triangles, acute triangles, obtuse triangles, and right triangles.

Here,

Using vertically opposite angle, x + x + 115° + 115° = 360°

2x + 230° = 360°

2x + 230° = 360°

2x = 360 - 230

2x = 130

x = 130/2

x = 65°

Then, lets solve for angle 1 using angle sum property:

∠1 + 65° + 80° = 180°

∠1 + 145° = 180°

∠1 = 180° - 145°

∠1 = 35°

Again, lets solve for angle 2 using angle sum property:

∠2 + 65° + 85° = 180°

∠2 + 150° = 180°

∠2 = 180° - 150°

∠2 = 30°

Therefore, the answer is:

m∠1 = 35°, m∠2 = 30° (option 2)

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As per the median, the set of data that fulfilling Marjane's requirement is 24, 25, 25, 25, 26, 26 (option c).

In statistics, data is a collection of numbers or values that represent a particular phenomenon. One way to measure central tendency, or the typical or representative value of the data, is through the median and the mode.

The median is the middle value when the data is arranged in numerical order, and the mode is the value that appears most frequently.

The third set of data is 24, 25, 25, 25, 26, 26.

The median is the middle value, which is also (25+25)/2 = 25.

The mode is the value that appears most frequently, which is 25.

Therefore, the mode and median are the same, fulfilling Marjane's requirement.

Therefore, the correct option is (c).

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The total surface area of the rectangular prism is 25.92 square units.

Remember that the area of a rectangular prism whose dimensions are A, B, and C is equal to the sum of the areas of each of the faces, we can write this as:

total area = 2*[ A*B + B*C + C*A]

In this case we can write the dimensions as:

A = 2.7 units.

B = 1.8 units.

C = 1.8 units.

Then the total surface area of this prism is:

total area = 2*[  2.7 units*1.8 units.  +  2.7 units*1.8 units + 1.8 units*1.8 units]

total area = 2*[ 12.96 square units] = 25.92 square units.

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Complete question:

"Find the area of a prism whose dimensions are 2.7 by 1.8 by 1.8"

The triangle has sides; a = 11.3 ft, b = 9.03 ft, and c = 12.9 ft. 1

Angles of approximately A = 59°, B = 51°, and C = 70°

Triangle is a shape of three line segments these segments have three points which crosses it.

The Law of Cosines states that;

c² = a² + b² - 2ab Cos(C)

put values;

12.9² = 11.3² + b² - 2(11.3)(b) Cos(C)

166.41 = 127.69 + b² - 22.6b Cos(C)

b² - 22.6b Cos(C) - 38.72 = 0

We know the quadratic formula, solve it for value of b:

b = [-22.6 Cos(C) ± [tex]\sqrt{(22.6Cos(C))^2 - 4*1*(-38.72)))[/tex]] / (2×1)

b = -11.3 Cos(C) ± [tex]\frac{\sqrt{510.76 Cos^2(C) + 154.88}}{2}[/tex]

To solve for the angles A and C, we can use the Law of Sines, which states that for any triangle with sides of lengths a, b, and c, and its opposite angles which are A, B, and C, So the equation is:

sin(A)/a = sin(B)/b = sin(C)/c

We know that c = 12.9 ft and a = 11.3 ft, and we have just found b, so we can use the Law of Sines to solve for the angles A and C.

sin(A)/11.3 = sin(C)/12.9

sin(A) = (11.3/12.9)sin(C)

sin(A) = 0.875969

A = [tex]Sin^{-1}(0.875969)[/tex]

A ≈ 59° (rounded to the nearest minute)

Now we can use the fact that the sum of the angles in a triangle is 180° to solve for C:

C = 180° - A - B

C = 180° - 59° - [tex]Sin^{-1}[/tex]([22.6cos(C) ± [tex]\sqrt{(511.56 - 154.88 Cos^2(C)) }[/tex]] / 2)

We can use a numerical solver to find the value of C that satisfies this equation. One possible value for C is:

C ≈ 70° (rounded to the nearest minute)

Finally, we can use the Law of Sines again to find the other angle B:

Sin(B)/b = sin(C)/c

Sin(B) = (b/12.9)sin(C)

Sin(B) = (b/12.9)sin(70°)

B = [tex]Sin^{-1}[/tex]((b/12.9)sin(70°))

By putting the value of b,

B ≈ 51° (rounded to the nearest minute)

Therefore, the triangle has sides of lengths 11.3 ft, approximately 9.03 ft, and 12.9 ft, and angles of approximately 59°, 51°, and 70°.

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The adaptive-response-rate single exponential smoothing model is best applied to time series data that are non stationary and seasonal which means option D is the right answer.

The adaptive response rate single exponential smoothing model is used to demonstrate the changes in the forecasting data and the fluctuation in data values with respect to time which are smoothened by a coefficient. The larger the coefficient, the greater the smoothing effect.

This kind of model is ineffective for stationary time series as it takes into account the smoothing of the information. Adaptive smoothing is computationally difficult. Exponential smoothing produces accurate forecasts. The forecast shows projected demand and actual demand.

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Answer:

  about 0.40

Step-by-step explanation:

You have ...

and you want to know the probability a turbine is faulty if it fails the test.

The probability a turbine will fail the test is the sum of the probabilities a good turbine will fail, and that a bad turbine will fail.

  p(good & fail) = p(good)×p(good fails) = 0.98×(1 -0.97) = 0.0294

  p(bad & fail) = p(bad fails)×p(bad) = (1 -0.01)×(1 -0.98) = 0.0198

Then the probability a tested turbine will fail is ...

  p(fail) = p(good & fail) +p(bad & fail) = 0.0294 +0.0198 = 0.0492

The probability that a turbine is faulty given that it failed the test is ...

  p(bad | failed) = p(bad & fail)/p(fail) = 0.0198/0.0492 ≈ 0.4024

The probability a turbine is faulty if it fails the test is about 0.40.

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