A six sided die is being rolled 20 times. This die is weighted so that on average a 3 is rolled four out of every eleven times. Find the expected number times a 3 will be rolled А. 80/11 B. 5 C. 20/11 D. 20/3 E. 7

Using a z-table or calculator, we can find that the probability of getting a z-score less than -3.14 is approximately 0.0008 (rounded to four decimal places as requested).

Using the Empirical Rule and the concept of probability, I can help you find the requested probability. The Empirical Rule, also known as the 68-95-99.7 rule, states that for a normal distribution:

- Approximately 68% of the data falls within 1 standard deviation (SD) of the mean
- Approximately 95% of the data falls within 2 SDs of the mean
- Approximately 99.7% of the data falls within 3 SDs of the mean

You are asked to find the probability P(z < -3.14). Since -3.14 is slightly beyond -3 SDs from the mean, we know that less than 0.15% of the data falls in that area, as 99.7% of the data is within ±3 SDs.

However, to get a more precise probability, we need to use a standard normal (Z) table or calculator. When looking up z = -3.14, we find that the probability P(z < -3.14) is approximately 0.0008.

So, the probability you are looking for is 0.0008.

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Answer:

  10

Step-by-step explanation:

You want a number such that the square root of the sum of it and 8 is 3 times the square root of 2.

The relation in the problem statement is ...

  √(x +8) = 3√2

Squaring both sides, we have ...

  x +8 = 3²·2 = 18

  x = 10 . . . . . . . . . subtract 8

The number is 10.

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Answer:

1ab

Step-by-step explanation:

Hope this helps! Pls give brainliest!

Answer:

1ab or just ab

Step-by-step explanation:

All 3 parts of the equation have the variables ab at the end, meaning that the solution will also end with ab.

Let's first solve by doing the first property, subtraction:

3ab-9ab=-6ab

Now, we add that sum to 7ab:
-6ab+7ab=1ab

Depending on what they ask, you can either write 1ab or ab, they are the exact same thing.

Answer:

  A, B, E are irrational

Step-by-step explanation:

You want to know which expressions result in an irrational number from the given expressions involving rational and irrational numbers.

  M + N = √2 +√5 . . . . irrational

  MN = (√2)(√5) = 10 . . . . irrational

  S + T = 2 + 5 = 7 . . . . rational

  ST = 2·5 = 10 . . . . rational

  N + T = √5 + 5 . . . . irrational

  N² = (√5)(√5) = 5 . . . . rational

__

Additional comment

When in doubt, you can use your calculator to evaluate these expressions. If the decimal fraction uses all available digits, the number is likely irrational.

If the number cannot be expressed exactly without using symbols (√, ∛, π, e), then it is irrational. The attached calculator display shows this nicely.

Answer: x=-4

Step-by-step explanation:

i'm assuming that you meant 92-17x=24 instead of -24 because that gives the answer -4

the goal of these equations is to get all the x variables on one side and all of the constants on the other side.

92-17x=-24

92-17x -92 =24 -92

-17x=-68

divide both sides by -17

x = -4

To find the probability that a customer has to wait more than 4 minutes, we need to use the normal distribution and standard deviation.

If the manager knows the standard deviation, we can use it to calculate the z-score and find the probability using a standard normal distribution table. However, since the standard deviation is not given in this question, we will assume that the distribution of waiting times is approximately normal and use the empirical rule.
The empirical rule states that for a normal distribution, approximately 68% of the values lie within one standard deviation of the mean, approximately 95% lie within two standard deviations, and approximately 99.7% lie within three standard deviations.
Since the average time that customers wait is 3 minutes, and we want to find the probability that a customer waits more than 4 minutes, we need to calculate how many standard deviations away from the mean 4 minutes is.
z = (x - μ) / σ
where x = 4, μ = 3, and σ is the standard deviation. Since we don't know the value of σ, we can't calculate the z-score directly. However, we can make a reasonable assumption that the standard deviation is around 1 minute. This is based on the empirical rule which states that approximately 68% of the values lie within one standard deviation of the mean.
So, σ = 1 minute, and
z = (4 - 3) / 1 = 1
Now we can use a standard normal distribution table to find the probability of a z-score of 1 or greater. From the table, we can see that the probability of a z-score of 1 or greater is approximately 0.1587.
Therefore, the probability that a customer has to wait more than 4 minutes is approximately 0.1587 or 15.87%.

To find the probability that a customer at the fast-food restaurant has to wait more than 4 minutes, we'll use the exponential distribution.
1. First, let's find the rate parameter, which is the reciprocal of the average waiting time: λ = 1 / average waiting time. In this case, λ = 1 / 3 ≈ 0.3333.
2. Now, we'll use the cumulative distribution function (CDF) of the exponential distribution to find the probability of waiting less than or equal to 4 minutes: P(X ≤ 4) = 1 - e^(-λx) = 1 - e^(-0.3333 × 4) ≈ 0.7364.
3. To find the probability of waiting more than 4 minutes, subtract the CDF value from 1: P(X > 4) = 1 - P(X ≤ 4) = 1 - 0.7364 ≈ 0.2636.
So, the probability that a customer at the fast-food restaurant has to wait more than 4 minutes is approximately 0.2636 or 26.36%.

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The distance from the wall, that the ladder slipped during the day, would be 21 cm.

First, use the Pythagorean theorem to find the original height of the ladder from the wall:

50² + b² = 300²

2, 500 + b ² = 90, 000

b ² = 90, 000 - 2, 500

b = √ 87, 500

b = 295. 8 cm

We can then find the new distance from the wall to be :
= 50 + 70

= 120 cm

The new height of the ladder to show the slip would be:

120² + b² = 300²

14,400 + b ² = 90, 000

b ² = 90, 000 - 14, 400

b = √ 75, 600

b = 275 cm

The distance slipped is:

= 295. 8 - 275

= 21 cm

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The given problem is a hypothesis testing problem, specifically a one-sample proportion test.

The null hypothesis is that the proportion of stuffed animals sold is 0.7, and the alternative hypothesis is that it is greater than 0.7. The sample proportion is 400/500=0.8, and we need to test whether this result is statistically significant at a 1% level of significance. We assume a normal distribution for the sample proportion and use a one-tailed z-test to calculate the p-value and make a conclusion about the null hypothesis.

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The exact number of fractions equivalent to the given fraction is 8/10, 12/15 and 16/20, under the condition that the given fraction is 4/5.

In order to determine the equivalent fractions of 4/5, we are have to multiply the numerator and denominator by same numbers.

Then the exact numbers equivalent to the given fraction is

(4/5) × (2/2) = (4 × 2) / (5 × 2) = 8/10

(4/5) × (3/3) = (4 × 3) / (5 × 3) = 12/15

(4/5) × (4/4) = (4 × 4) / (5 × 4) = 16/20

Then, 8/10, 12/15, and 16/20 are equal to 4/5 when simplified, which means they are equivalent in nature.

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For part (a), we use the product rule and chain rule of differentiation:

y = x^2 sin(8x)

dy/dx = (2x sin(8x)) + (x^2 cos(8x) * 8)

dy/dx = 2x sin(8x) + 8x^2 cos(8x)

So, the differential of y = x^2 sin(8x) is dy = (2x sin(8x) + 8x^2 cos(8x)) dx.

For part (b), the differential is simply the derivative of y with respect to x, since y is not a function of x in this case:

y = 4+

dy/dx = 0

So, the differential of y = 4+ is dy = 0 dx.

To find the differential of each function, we will use the derivative rules. Let's solve each part step-by-step:

(a) y = x^2 sin(8x)

To find the differential (dy) of this function, we will need to find the derivative of y with respect to x (dy/dx). In this case, we will use the product rule, which states that if y = uv, where u and v are functions of x, then:

dy/dx = u(dv/dx) + v(du/dx)

Let u = x^2 and v = sin(8x).

Now, we need to find du/dx and dv/dx:

du/dx = 2x (by using the power rule)
dv/dx = 8*cos(8x) (by using the chain rule)

Now apply the product rule:

dy/dx = x^2 * 8*cos(8x) + sin(8x) * 2x
dy/dx = 8x^2*cos(8x) + 2x*sin(8x)

So, the differential of the function y = x^2*sin(8x) is dy/dx = 8x^2*cos(8x) + 2x*sin(8x).

(b) y = 4

To find the differential (dy) of this function, we will find the derivative of y with respect to x (dy/dx).

Since y is a constant function (it doesn't depend on x), its derivative is simply:

dy/dx = 0

So, the differential of the function y = 4 is dy/dx = 0.

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Euler's method is useful for providing an approximate solution to ODEs that may not have an easily obtainable closed-form solution for differential equations.

Euler's method is a numerical technique for solving first-order ordinary differential equations (ODEs) with an initial value. Here's a step-by-step explanation:

1. Start with a given initial value problem (IVP): dy/dx = f(x, y), with an initial condition y(x0) = y0.

2. Choose a step size, h, which represents the interval between consecutive points in your solution.

3. Apply Euler's method formula to find the approximate value of y at the next point: y1 = y0 + h * f(x0, y0).

4. Continue this process, using the previously calculated value as the new initial condition, to find the approximate solution at other points. For the nth point, use the formula: yn = yn-1 + h * f(xn-1, yn-1).

5. Compare your approximate solution to the exact solution, if available, to evaluate the accuracy of Euler's method.

Keep in mind that the accuracy of Euler's method depends on the step size, h. Smaller values of h will generally yield more accurate results, but require more calculations.

Euler's method is useful for providing an approximate solution to ODEs that may not have an easily obtainable closed-form solution. It's a simple and easy-to-understand method, which is why it's often covered in introductory differential equations courses, such as the one you mentioned.

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The circumference of a circle in terms of π with radius 31½ yards is 63π yards ( optionD)

The circumference is the perimeter of a circle or ellipse. This means that the circumference would be the arc length of the circle, as if it were opened up and straightened out to a line segment.

The circumference of a circle is expressed as;

C = 2πr

where r is the radius

r = 31 ½ = 63/2 yards

therefore C = 2 × 63/2 × π

C = 63π yards

Therefore the circumference of the circle in term of π with radius 31 ½ is 63π yards

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The discount percentage that has been offered to Sydney if after the discount she has to pay $20.79 for an item marked at $21 is 1%

Discount refers to a reduction in price offered on articles and items in order to increase sales. It is a marketing technique.

Listed price =$21

After discount price = $20.79

Discount offered = 21 - 20.79

= $0.21

Discount percentage = [tex]\frac{LP - DP}{LP}*100[/tex]

where LP is Listed Price

DP is Discount Price

Discount percent = [tex]\frac{21-20.79}{21}*100[/tex]

= [tex]\frac{0.21}{21}*100[/tex]

= 0.01 * 100

= 1%

Therefore, the discount she gets is equal to 1% after she uses her loyalty card at her local hardware store.

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Joe is about 10 times more likely to bowl at least three strikes out of four tries than to bowl zero strikes out of four tries.

To find the probability of Joe bowling at least three strikes out of four tries, we need to consider the different combinations of strikes and non-strikes he can get.

There are four possible outcomes:
- strike, strike, strike, non-strike
- strike, strike, non-strike, strike
- strike, non-strike, strike, strike
- non-strike, strike, strike, strike

The probability of getting a strike is 0.6, and the probability of not getting a strike (a non-strike) is 0.4. So for each outcome, we can calculate the probability as follows:

- Probability of strike, strike, strike, non-strike = 0.6 x 0.6 x 0.6 x 0.4 = 0.0864
- Probability of strike, strike, non-strike, strike = 0.6 x 0.6 x 0.4 x 0.6 = 0.0864
- Probability of strike, non-strike, strike, strike = 0.6 x 0.4 x 0.6 x 0.6 = 0.0864
- Probability of non-strike, strike, strike, strike = 0.4 x 0.6 x 0.6 x 0.6 = 0.0864

To find the probability of Joe bowling at least three strikes, we need to add up the probabilities of the last three outcomes, since they all have at least three strikes:

0.0864 + 0.0864 + 0.0864 = 0.2592

So the probability of Joe bowling at least three strikes out of four tries is 0.2592, or about 26% (rounded to the nearest whole number).

To find the probability of Joe bowling zero strikes, we can use the same approach:

- Probability of non-strike, non-strike, non-strike, non-strike = 0.4 x 0.4 x 0.4 x 0.4 = 0.0256

So the probability of Joe bowling zero strikes out of four tries is 0.0256, or about 3% (rounded to the nearest whole number).

To find how many times more likely it is for Joe to bowl at least three strikes than to bowl zero strikes, we can divide the probability of the first outcome by the probability of the second outcome:

0.2592 / 0.0256 = 10.125

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A: Liam is correct. The graph shows a positive correlation between ice cream sales and temperature. As the temperature increases, ice cream sales also increase.

B: Armonte is not correct. There are a few reasons why the graph represents a correlation and not causation:

Correlation does not imply causation. Just because two variables are correlated, it does not mean that one variable causes the other.

There could be other variables that are affecting both ice cream sales and temperature. For example, if the graph was plotted over a long period of time, there may be seasonal factors that affect both variables, such as summer months having higher temperatures and more ice cream sales.

The graph only shows a relationship between ice cream sales and temperature, but it does not prove causation. To establish causation, a controlled experiment would need to be conducted to show that changes in temperature cause changes in ice cream sales.

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The Surface Area of Cone is 124.344 cm².

We have,

Diameter= 11 cm

slant height = 7.2 cm

Radius = 5.5 cm

So, Surface Area of Cone

= πrl

= 3.14(5.5)(7.2)

= 124.344 cm²

Thus the Surface Area of Cone is 124.344 cm².

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Once you have followed these steps, you should be able to help the virologist conclusively decide what quantities a and b model by analyzing the given differential equations.

It seems that the specific functions a and b, as well as the differential equations, are not provided in your question. However, I can guide you on how to approach this problem using the given terms and general concepts.

A virologist studies the dynamics of infectious disease using mathematical models. The three quantities of interest are infected people (I), susceptible people (S), and immune people (R). Functions a and b will represent two of these three quantities. To determine which quantities a and b model, we can analyze the given differential equations and follow these steps:

Step 1: Identify the variables and their relationships
Look for the variables (S, I, and R) in the differential equations and analyze how they are related to each other. Determine if there are any rate constants or parameters that link the variables.

Step 2: Analyze the equations' behavior
Study the differential equations' behavior over time, considering different initial conditions. Observe if the equations exhibit any trends, such as an increase or decrease in the quantities.

Step 3: Compare the equations with known epidemic models
Compare the given differential equations with known epidemic models, such as the SIR model or the SEIR model. These models have well-defined equations that describe the rates of change for susceptible, infected, and immune individuals.

Step 4: Rule out alternatives
Based on your analysis, eliminate the alternatives that don't match the behavior exhibited by the differential equations. Ensure that your conclusion is supported by a logical argument.

Once you have followed these steps, you should be able to help the virologist conclusively decide what quantities a and b model by analyzing the given differential equations.

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Given that P(Xi > 0), we can infer that the probability of Xi being positive has implications on the convergence properties of the sequence and the limiting constant 'a'.

Based on the information given, we can say that the probability of xi being greater than zero is positive, i.e., p(xi > 0) > 0. This means that xi has a positive probability of taking values greater than zero.

Moreover, since the sequence of random variables converges in probability to a constant a, we can say that for any ε > 0,

lim P(|xi - a| > ε) = 0

This implies that as n approaches infinity, the probability that xi deviates from a by more than ε approaches zero.

Thus, we can conclude that the sequence of random variables xi is "almost surely" bounded away from zero as n approaches infinity, and the limit of the sequence is the constant a.
. Considering a sequence of random variables X1, X2, ..., Xn that converges in probability to a constant 'a', we can say that the probability of each Xi being greater than 0, denoted as P(Xi > 0), is relevant to understanding the limiting behavior of the sequence.

As the sequence converges in probability to 'a', it means that for any given ε > 0, the probability that the absolute difference between Xi and 'a' is greater than ε approaches 0 as n approaches infinity:

lim (n→∞) P(|Xi - a| > ε) = 0

Given that P(Xi > 0), we can infer that the probability of Xi being positive has implications on the convergence properties of the sequence and the limiting constant 'a'.

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Yes, the statement is true. This is a restatement of the definition of the limit of a function of two variables.

Formally, we say that the limit of f(x,y) as (x,y) approaches (a,b) is L if and only if for every number ε > 0, there exists a number δ > 0 such that if the distance between (x,y) and (a,b) is less than δ, then the distance between f(x,y) and L is less than ε. In symbols:

For every ε > 0, there exists a δ > 0 such that if 0 < sqrt((x-a)^2 + (y-b)^2) < δ, then |f(x,y) - L| < ε.

The condition that f(x,y) approaches L along every straight line through (a,b) is equivalent to saying that the limit of f(x,y) as (x,y) approaches (a,b) along any path is also L. This is a stronger condition than the usual definition of the limit, and implies that the limit exists and is equal to L.

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The base angles of the isosceles triangle is A = 50°

Given data ,

Let the isosceles triangle be represented as ΔABC

Now , the measure of ∠ABC = 80°

So , the measure of ∠ACB = ∠BAC = A°

And , In an isosceles triangle, the two equal sides are called legs, and the remaining side is called the base. The angle opposite the base is called the vertex angle

So , A° + A° + 80° = 180°

Subtracting 80 on both sides , we get

2A° = 100°

Divide by 2 on both sides , we get

A = 50°

Hence , each base angle measures 50°

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The solution to the exponential equation 64^a = 8^(a + 2) is given as follows:

a = 2.

The exponential equation in this problem is defined as follows:

64^a = 8^(a + 2)

64 is the second power of 8, hence:

64 = 8².

Applying the power of power rule, we have that:

64^a = 8^2a.

Hence:

8^2a = 8^(a + 2)

The exponential function is one to one, hence we can obtain the value of a as follows:

2a = a + 2

a = 2.

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Answer:

No solution

Step-by-step explanation:

How many solutions does 5 = -5 ?

5 ≠ -5

So, there is no solution

Step-by-step explanation:

b+g = 297 - eqn1

let the number of boys be b and the number of girls be g

(4/9)*b = (7/9)*g

cross multiply

4x9b = 7x9g

36b=63g - eqn2

from eqn 2

36b = 63g

we can divide both sides by 36 to make b the subject of formula

b=7/4 g

substitute b in eqn 1

b+g=297

7/4 g + g = 297

11/4 g = 297

11g = 297*4

11g=1188

g = 1188/11 = 108

since b+g=297

b+108=297

b=297-108=189

therefore the no of girls is 108 and of boys is 189

189-108 = 81 so there are 81 more boys than the girls

The perfect square trinomial for this problem would be 5(x - (7/5))^2.

The given quadratic equation is:

5x^2 - 14x + 8

To complete the square and find the perfect square trinomial, follow these steps:

1. Make sure the coefficient of x^2 is 1. Divide the entire equation by the coefficient of x^2 (in this case, 5):

  x^2 - (14/5)x + 8/5

2. Find the term to complete the square. Take half of the coefficient of the x term, square it, and add it to both sides:

  x^2 - (14/5)x + (14/10)^2 = -8/5 + (14/10)^2

3. Rewrite the left side of the equation as the perfect square trinomial:

  (x - 7/5)^2 = -8/5 + 49/25

Now, the perfect square trinomial for the given problem is (x - 7/5)^2.

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The measures of angles are m∠A = 80°, m∠B = 50°, and m∠C = 50°, concluding that the triangle is an isosceles triangle.

Based on the given information, we can start by using the fact that the angles in a triangle sum to 180 degrees. Let's label the unknown angles as m∠A, m∠B, and m∠C:

m∠A + m∠B + m∠C = 180

We also know that m∠1 = m∠2, which means that triangle ABD is similar to triangle CBD by the Angle-Angle (AA) similarity theorem. This implies that the ratios of corresponding sides in these triangles are equal:

AB/BD = BD/DC

Since BD = DC, we have AB = DC.

Therefore, triangle ABC is isosceles with AB = AC. This means that m∠B = m∠C.

Now let's use the given information that BD = DC and m∠BDC = 100° to find the measure of m∠B. We can draw the perpendicular bisector of BC to point D, which will bisect angle BDC into two equal angles of measure x degrees.

Since triangle BDC is isosceles, we know that:

m∠DBC = m∠DCB

= (180 - m∠BDC)/2

= 40°.

Therefore, m∠B = m∠DBC + m∠DCB = 40° + x.

Now we can use the fact that the angles in triangle ABC sum to 180 degrees to solve for m∠A:

m∠A + m∠B + m∠C = 180

m∠A + 2m∠B = 180 (since m∠B = m∠C)

m∠A + 2(40° + x) = 180 (since m∠B = 40° + x)

m∠A + 80° + 2x = 180

m∠A = 100° - 2x

We also know that m∠BDC = 100°, so m∠DBC = m∠DCB = (180 - m∠BDC)/2 = 40°. Therefore, we can write:

m∠A + m∠B + m∠C = 180

m∠A + 2m∠B = 180 (since m∠B = m∠C)

m∠A + 2(40° + x) = 180 (since m∠B = 40° + x)

m∠A + 80° + 2x = 180

m∠A = 100° - 2x

Now we can solve for x by using the fact that m∠A, m∠B, and m∠C must be positive:

m∠A > 0, m∠B > 0, m∠C > 0

100° - 2x > 0

x < 50°

Therefore, the possible values of x are 10°, 20°, 30°, 40°, and 49°. We can use these values to find the measures of m∠A, m∠B, and m∠C:

If x = 10°, then m∠A = 80°, m∠B = 50°, and m∠C = 50°.

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Since S is the average of the random sample, the expected value (E(S)) and variance (V(S)) are: E(S) = µ and V(S) = σ² / n

For W with v degrees of freedom, we know that E(W) = v and V(W) = 2v.

Now, let's consider the random sample X = (X1, X2, ..., Xn) from a normal distribution with mean y and variance o. The sample variance S^2 is defined as:

S^2 = (1/n-1) * sum(i=1 to n) (Xi - y)^2

where y is the sample mean.

Using properties of the normal distribution, we can derive that E(S^2) = o * (n-1)/n and V(S^2) = (2o^2 * (n-1)^2)/(n(n-2)).

To find E(S) and V(S), we take the square root of E(S^2) and V(S^2) respectively. Thus:

E(S) = sqrt(o * (n-1)/n)

V(S) = sqrt((2o^2 * (n-1)^2)/(n(n-2)))


First, let's discuss the chi-square distribution. If W has a chi-square distribution with v degrees of freedom, the expected value (E(W)) and variance (V(W)) are as follows:

E(W) = v
V(W) = 2v

Now let's consider the random sample from a normal distribution. If X, i = 1, 2,...,n is a random sample from a normal distribution with mean y (µ) and variance σ², we can find the sample mean (S) as:

S = (ΣX_i) / n

Since S is the average of the random sample, the expected value (E(S)) and variance (V(S)) are:
E(S) = µ and V(S) = σ² / n

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The value of x is -4

When an integer by itself , the product obtained is a perfect square. Examples of perfect squares are 25 from 5×5, 36 from 6×6

The square root of the perfect square will give the original number.

Solving 4(x+7)^2-49=-13

collecting like terms

4( x+7)^2 = -13+49

4(x+7)² = 36

divide both sides by 4

(x+7)² = 9

Square both sides

x+7 = √9

x+7 = 3

x = 3-7

x = -4

therefore the value of x is -4

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