find the value of the question mark

Answer:

Mr. A initially paid approximately N8000 for the land.

Step-by-step explanation:

Step 1: Let's assume Mr. A initially purchased the land for a certain amount, which we'll call "x" in currency units.

Step 2: Mr. A sold the land to Mr. B at a profit of 10%. This means Mr. A sold the land for 110% of the amount he paid (1 + 10/100 = 1.10). Therefore, Mr. A received 1.10x currency units from Mr. B.

Step 3: Mr. B sold the land to Mr. C at a gain of 5%. This means Mr. B sold the land for 105% of the amount he paid (1 + 5/100 = 1.05). Therefore, Mr. B received 1.05 * (1.10x) currency units from Mr. C.

Step 4: According to the given information, Mr. C paid N1240 more for the land than Mr. A paid. This means the difference between what Mr. C paid and what Mr. A paid is N1240. So we have the equation: 1.05 * (1.10x) - x = N1240

Step 5: Simplifying the equation: 1.155x - x = N1240

Step 6: Solving for x: 0.155x = N1240

x = N1240 / 0.155

x ≈ N8000

Therefore, in conclusion, Mr. A initially paid approximately N8000 for the land.

Answer:

15 cm

Step-by-step explanation:

6x5 divide by 2

Answer:

15 cm^2

Step-by-step explanation:

The impact propensity can be interpreted as the slope coefficient for the tax personal exemption (pe) or its first lag in

the regression equation.

To determine the impact propensity in the regression of the general fertility rate (GFR) on the tax personal exemption

(PE) and its first lag, you should follow these steps:

Estimate the regression model using the available data. The model should look like this:

GFR = β0 + β1 × PE + β2 × PE_lag + ε

Where GFR is the general fertility rate, PE is the tax personal exemption, PE_lag is the tax personal exemption's first

lag, and ε is the error term.

Obtain the estimated coefficients (β0, β1, and β2) from the fitted regression model.

These coefficients will help you determine the impact propensity.

Calculate the impact propensity. The impact propensity in this context refers to the change in the general fertility rate

resulting from a one-unit increase in the tax personal exemption, taking into account both its current and lagged

effects.

To find the impact propensity, sum the coefficients for the tax personal exemption and its first lag:

Impact propensity = β1 + β2

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Answer:

5

Step-by-step explanation:

the area of a parallelogram is represented in this formula:

\(A=bh\)

we can rearrange this to solve for \(b\)

\(\frac{A}{h} =b\)

\(\frac{20}{4} =5\)

Therefore \(b=5\)

Answer:

$5.10

Step-by-step explanation:

The owner buys 5 panes of glass for $12.75. So to find the cost of 1, we need to divide the total cost by the amount of planes. In this case, 12.75 divided by 5. This gives you $2.55 per plane. And since he is buying 2 more, we would multiply the cost of the plane (2.55) by the amount we are buying (2). So we do 2.55 X 2 and we get $5.10

Answer

The quadratic model for this data

n = -2t² + 24t + 10

Explanation

Quadratic functions are given as

y = ax² + bx + c

where y = n, t = x and a, b and c are constants.

n = at² + bt + c

when t = 1, n = 32

32 = a(1)² + b(1) + c

32 = a + b + c

when t = 3, n = 64

64 = a(3)² + b(3) + c

64 = 9a + 3b + c

when t = 4, n = 74

74 = a(4)² + b(4) + c

74 = 16a + 4b + c

Combining the three equations

a + b + c = 32

9a + 3b + c = 64

16a + 4b + c = 74

We can then solve this simultaneously and obtain that

a = -2

b = 24

z = 10

So, the quadratic model for this data

n = -2t² + 24t + 10

Hope this Helps!!!

Answer:

15+85+x =180

X=180-15-85

X=8O°

Step-by-step explanation:

The probability that one of the scores in the sample is less than 1484 is 0.2437 .

a)Given that mean u = 1403

standard deviation σ = 200

sample size n = 32

P(x>1484) = P(X-u/σ > 1484-1403/200)

                = P (z > 0.405)

P(x>1484) = 0.2437 .

hence the probability that one score is greater than 1484 is 0.405 .

b) Now we have to find the average of the scores of 48 samples.

P(x>1484)

= P(x-μ/ σ/√n> 1484-1403 /200/√48)

= P(z>2.805.)

Now we will use the normal distribution table to calculate the p value to be 0.002516.

p-value = 0.0025

Normal distributions are very crucial to statistics because not only they are commonly used in the natural and social sciences but also to describe real-valued random variables with uncertain distributions.

They are important in part because of the central limit theorem. This claim states that, in some cases, the average of many samples (observations) of a random process with infinite mean and variance is itself a random variable, whose distribution tends to become normal as the number of samples increases.

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Answer:

22.5

Step-by-step explanation:

first of all, the first sign in the designations of the triangles is not an A. it is the Greek Delta (capital) sign. standing for "triangle" due to its shape.

as the diagram shows (and the description says correctly), ADL and AKM are similar triangles.

that means they have the same angles.

and in order to keep the same angles even when the lengths of the sides are different, the relative relation of the side lengths must be the same for all sides.

that means, if one side changes by a factor f, then both other sides must change by the same factor.

so, by checking the change factor for AD (to AK), we can then determine the change of AL to AM. and then we simply subtract AL from AM and get LM.

the original AD = 14.

AK = AD + DK = 14 + 21 = 35

the change factor f is then AK/AD = 35/14 = 5/2

in other words AD grew by a factor of 5/2.

AM is then created by applying the same factor to AL.

=> AM = 15 * 5 / 2 = 75 / 2 = 37.5

=> LM = AM - AL = 37.5 - 15 = 22.5

Step-by-step explanation:

intindihin nyo na lang.

The correct answer is option b. The random variable in this experiment is the number of days out of 3 that Pete catches fish.

Pete's probability of catching fish on any given day is.8, and the number of days for which he is fishing is three. This experiment has no bearing on the number of fish in the water.

The mathematical discipline of the probability is concerned with numerical descriptions of the likelihood of an event or proposition being true. A number between 0 and 1 indicates the likelihood of an event, with 0 representing impossibility and 1 representing the certainty.

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Complete Question:

the probability pete will catch fish when he goes fishing is .8. pete is going fishing 3 days next week.

what is the random variable in this experiment?

a. the .8 probability of catching fish

b. the number of days out of 3 that peter catches fish

c. the 3 days

d. the number of fish in the body of water

Answer:

TR=3 units

Step-by-step explanation:

QT and QS=4

PS and PU=9

RU and TR are equal

All because tangents of a circle to a common point outside the circle are equal.

PR=12

RU=12-PU

RU=12-9

RU=3

TR=3 units

Answer:

where is the sequence?

#carryinlearning

Answer:

the simplified expression is: 6y-7x

Step-by-step explanation:

-y+7y= 6y

           -7x

           = 6y-7x

Answer:

C 20 miles per gallon.

Have a blessed day

Answer:

c c c c

Step-by-step explanation:

Answer: x=3 ; y=13

Step-by-step explanation:

1. isolate y from equation to substitute into the second equation

y= 16-x ---> (16-x) = 3x+4

2. move to one side and solve for x

4x=12 --> x=3

3. plug in x value to solve for y

3+y=16 or 3(3)+4

y=13

The center line, LCL, and UCL for the p chart that would be used for this processing step are 89%, 88.3%, and 89.7%, respectively.

The center line of a p chart is the average yield of good chips during a processing step, and is calculated as follows:

Centerline = average yield of good chips = 89%

The lower control limit (LCL) and upper control limit (UCL) for a p chart are calculated using the following equations:

LCL = average yield of good chips - 3 × standard deviation

UCL = average yield of good chips + 3 × standard deviation

To calculate the standard deviation, we need to know the number of chips per wafer (156 in this case). The standard deviation is calculated using the equation:

standard deviation = √(p × (1 - p) / n)

where p is the average yield of good chips (89% in this case), (1 - p) is the average yield of defective chips (11% in this case), and n is the number of chips per wafer (156 in this case).

Plugging the values for p, (1 - p), and n into the equation gives us:

standard deviation = √(0.89 × 0.11 / 156) = 0.0256

Substituting the standard deviation into the equations for the LCL and UCL gives us:

LCL = 89% - 3 × 0.0256 = 88.3%

UCL = 89% + 3 × 0.0256 = 89.7%

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The savings account paid a simple interest rate of 25.96%.

We can use the simple interest formula:

I = Prt

where I is the interest earned, P is the principal (initial amount deposited), r is the interest rate (in decimal form), and t is the time (in years).

The interest earned in 2 years is:

I = 759.60 - 500 = 259.60

Substituting the values into the formula, we get:

259.60 = 500 × r × 2

Simplifying and solving for r, we get:

r = 0.2596 or 25.96%

Therefore, the savings account paid a simple interest rate of 25.96%.

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mario has $759.60 in the bank after 2 years. assuming he made no additional deposits or withdrawls, what simple interest rate did the savings account pay? The initial amount deposited is $500

Answer: C.5

Step-by-step explanation:

The given statement is false because In programming, the break and continue statements serve different purposes and can be used independently or together within nested loops.

The break statement is used to exit the current loop prematurely. When encountered, it terminates the loop and continues with the next statement after the loop. This can be useful when a specific condition is met, and you want to stop the execution of the loop immediately.

The continue statement, on the other hand, is used to skip the current iteration of a loop and move on to the next iteration. It allows you to skip certain iterations based on a specific condition without terminating the entire loop.

Both break and continue statements can be used within nested loops. In such cases, the break statement will exit only the innermost loop it is placed in, while the continue statement will skip to the next iteration of the innermost loop.

By using break and continue strategically within nested loops, you can control the flow of execution based on specific conditions. This flexibility allows you to fine-tune the behavior of your program and optimize its efficiency.

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Note : This is a computer science question

Answer:

Line C

Step-by-step explanation:

The scatter plot follows line C the most.

Hope this helps! :)

Therefore, Pump B will have a longer average cycle time compared to Pump A.

To determine which pump will have a longer average cycle time, we need to calculate the cycle time for each pump based on the given information and compare the results. The cycle time for a single-server system can be calculated using Little's Law: Cycle Time = (1 / Arrival Rate) * (1 / (1 - Utilization))

Given:

Arrival Rate = 0.2 car per minute

Squared-Coefficient of Variation (CV^2) for Arrival Rate = 1

Utilization can be calculated as the product of the mean effective process time and the arrival rate:

Utilization = Mean Effective Process Time * Arrival Rate

For Pump A:

Mean Effective Process Time (A) = 4 minutes

Squared-Coefficient of Variation for Pump A = 0.5

Utilization (A) = 4 * 0.2 = 0.8

For Pump B:

Mean Effective Process Time (B) = 3 minutes

Squared-Coefficient of Variation for Pump B = 5

Utilization (B) = 3 * 0.2 = 0.6

Now, let's calculate the cycle time for each pump:

Cycle Time (A) = (1 / 0.2) * (1 / (1 - 0.8))

= 5 minutes

Cycle Time (B) = (1 / 0.2) * (1 / (1 - 0.6))

= 2.5 minutes

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Answer:

36/24 is greater than 9/6

Step-by-step explanation:

He told me my fish would die

The next day dead! (No, no!)

He told me I'd grow a gut!

And just like he said... (no, no!)

He said that all my hair would disappear, now look at my head (no, no! Hey!)

Your fate is sealed when your prophecy is read!

The ratios of the fraction \(\frac{9}{6}\) and \(\frac{36}{24}\) are compared and  \(\frac{9}{6}=\frac{36}{24}\).

Given data:

The first fraction is represented as p.

The value of \(p=\frac{9}{6}\).

The second fraction is represented as q.

The value of \(q=\frac{36}{24}\)

Now, multiplying the fraction p by \(\frac{4}{4}\) :

\(p=\frac{9}{6}*\frac{4}{4}\)

On simplifying the equation:

\(p=\frac{36}{24}\)

So, the value of p = q.

Hence, the ratios are similar.

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|A1 A2| = |B1∪B2| holds true since both sides of the equation evaluate to 0, given the empty intersection and equal cardinalities of the sets involved. To prove that |A1 A2| = |B1∪B2|, we need to show that the cardinality of the intersection of A1 and A2 is equal to the cardinality of the union of B1 and B2.

Let's start by considering the set A1 A2. This set represents the intersection of A1 and A2, meaning it contains all the elements that are common to both sets. Since we are given that A1∩A2 = Ø (i.e., the intersection is empty), it implies that A1 A2 is also an empty set.

On the other hand, we have B1∪B2, which represents the union of B1 and B2. The union of two sets includes all the elements that are present in either set or in both sets. Given that B1∩B2 = Ø (i.e., the intersection is empty), it implies that the union of B1 and B2 contains all the elements from both sets without any repetition.

Since A1 A2 is an empty set, it means that the cardinality of |A1 A2| is 0. Similarly, since the union of B1 and B2 contains all the elements from both sets, the cardinality of |B1∪B2| is equal to the sum of the cardinalities of B1 and B2.

Now, from the given information, we know that |A1| = |B1| and |A2| = |B2|. Since the cardinalities of A1 and B1 are equal and the cardinalities of A2 and B2 are equal, it follows that the sum of the cardinalities of A1 and A2 is equal to the sum of the cardinalities of B1 and B2.

Therefore, |A1 A2| = |B1∪B2| holds true since both sides of the equation evaluate to 0, given the empty intersection and equal cardinalities of the sets involved.

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