Which ordered pair represents the point labeled as I?

The x-axis starts at negative 2, with tick marks every one-fourth unit up to positive 2. The y-axis starts at negative 2, with tick marks every one-fourth unit up to positive 2. The point G is to the left one and one-fourth units and down one-half unit from the origin. The point H is to the left one-half unit and up one and one-fourth units from the origin. The point I is to the right three-fourths unit and up three-fourths unit from the origin. The point J is down one and one-fourth units from the origin.

negative one and one-fourth, negative one-half
negative one-half, one and one-fourth
three-fourths, three-fourths
0, negative one and one-fourth

The accumulated interest the investor should expect at the end of 6 years is $1,755.00.

To solve the problem, we can use the following steps:

Determine the difference in mass between the two bags with different numbers of guavas:

Mass of bag with 68 guavas = 7.55 kg Mass of bag with 62 guavas = 6.95 kg Difference in mass = 7.55 kg - 6.95 kg = 0.6 kg

Determine the mass of the 6 extra guavas:

Mass of 6 guavas = ? We can assume that the mass of each guava is roughly the same, so the mass of 6 guavas is proportional to the difference in mass between the two bags:

Difference in mass = 0.6 kg Mass of 6 guavas / 6 = 0.6 kg / 6 Mass of 6 guavas = 0.1 kg

Subtract the mass of the 6 extra guavas from the mass difference to get the mass of the bag:

Mass of bag with no guavas = ? Mass of bag with 68 guavas - mass of bag with 62 guavas = Mass of 6 extra guavas + Mass of bag with no guavas 0.6 kg - 0.1 kg = Mass of bag with no guavas Mass of bag with no guavas = 0.5 kg

Convert the mass of the bag from kilograms to grams:

Mass of bag with no guavas = 0.5 kg = 500 g

Therefore, the mass of the bag when it is empty is 500 grams.

The probability of the ball falling into red slots 12 or fewer times in 23 rolls is approximately 0.3486.

A. Using the binomial probability formula, we can determine the likelihood that the ball will land in the green slots two or more times out of 23 rolls:

[tex]P(X > = 2) = 0 - 1 - P(X = 0)[/tex]

where P(X): likelihood that X will occur and X is the number of times the ball has fallen into the green slots.

The chances of the ball landing in a green slot on one roll are 2/38, whereas the chances of it not landing there are 36/38. This allows us to compute:

[tex]P(X = 0) = (36/38)^(23) = 0.288359853[/tex]

[tex]P(X = 1) = 23 * (2/38) * (36/38)^(22) = 0.357973143[/tex]

With the binomial probability formula substituted, we obtain:

[tex]P(X > = 2) = 1 - 0.288359853 - 0.357973143 = 0.353666004[/tex]

As a result, there is a roughly 0.3537 percent chance that the ball will land in the green slots two or more times during the course of 23 rolls.

B. The likelihood that the ball will not land in any green slots after 23 rolls is:

[tex]P(not green) = (36/38)23, or 0.288359853[/tex]

Hence, there is a roughly 0.2884 percent chance that the ball won't land in any green slots after 23 rolls.

B. Using the binomial probability formula, we can determine the likelihood that the ball will land in the black slots 14 or more times:

[tex]P(X > = 14) = 1 - P(X < = 13)[/tex]

where P(X): likelihood that X will occur and X is the number of times the ball has fallen into the black slots.

The odds of the ball not falling into a black slot in one roll are 20/38, while the odds of the ball going into a black slot are 18/38. This allows us to compute:

[tex]P(X = 13) = sum of (23 pick I (18/38)*i* (20/38)*(23-i) from i=0 to 13 = 0.829288657[/tex]

With the binomial probability formula substituted, we will get:

[tex]P(X > = 14) = 1 - 0.829288657 = 0.170711343[/tex]

The likelihood of the ball landing in the black slots 14 or more times during the course of 23 rolls is therefore roughly 0.1707.

D. Using the binomial probability formula once more, we can determine the likelihood of the ball landing in the red slots 12 or fewer times:

[tex]P(X = 12) = sum of (23 pick I from i=0 to 12 * (18/38) * I * (20/38) * (23-i) = 0.348609995[/tex]

The likelihood that the ball will land in a red slot 12 or fewer times in 23 rolls is therefore roughly 0.3486.

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In the scenario where a nutritionist selected a random sample of adults and asked them about their eating and exercise habits, the data show that people who eat organic fruits and vegetables are more likely to exercise regularly than those who do not eat organic fruits and vegetables, this scenario describes an observational study.

What is an observational study?Observational study, also known as non-experimental research, is a type of research design where researchers observe the behavior of a particular group of individuals without influencing it in any way. A researcher is not allowed to interfere with or manipulate any variables.

He just observes the environment and the behavior of the individuals under study. This is why observational studies are sometimes also referred to as naturalistic observations.

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Answer: I'm not sure what birdhouse you're talking about, but I'll tell you the average amount of wood that would be needed to build a birdhouse.

Many cavity-nesting birds will add their own nest material, but the woodpeckers, waterfowl and owls prefer nest boxes with 2-3 inches of dry sawdust or woodchips in the bottom.

For the given linear equation, the solution is (3,3) i.e. B.

What is a linear equation, exactly?

A linear equation is a mathematical equation in which the highest power of the variable(s) is one. In other words, it is an equation of the form:

y = mx + b

where y and x are variables, m is the slope or gradient of the line, and b is the y-intercept (the point at which the line intersects the y-axis). The slope represents the rate of change of the line, or how steep it is, and the y-intercept represents the value of y when x is zero.

Now,

We can solve this problem by plugging in the x and y values of each ordered pair and seeing if they make the equation true.

Let's start with option A, which is (2,4):

-3x+5y = 2x+3y (original equation)

-3(2) + 5(4) = 2(2) + 3(4) (substituting x=2 and y=4)

-6 + 20 = 4 + 12

14 = 16

The left side of the equation is not equal to the right side, so (2,4) is not a solution.

Now let's move on to option B, which is (3,3):

-3x+5y = 2x+3y (original equation)

-3(3) + 5(3) = 2(3) + 3(3) (substituting x=3 and y=3)

-9 + 15 = 6

6 = 6

The left side of the equation is equal to the right side, so (3,3) is a solution.

Therefore, the answer is option B, which is "Only (3,3)".

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Answer:

the GCF is 5y and the factored form is 5y(2y^4 + 6y^2 - 3).

Step-by-step explanation:

The greatest common factor (GCF) of the terms 10y^5, 30y^3, and -15y is 5y.

To factor out the GCF, we can divide each term by 5y:

10y^5 / (5y) = 2y^4

30y^3 / (5y) = 6y^2

-15y / (5y) = -3

So we have:

10y^5 + 30y^3 - 15y = 5y(2y^4 + 6y^2 - 3)

Therefore, the GCF is 5y and the factored form is 5y(2y^4 + 6y^2 - 3).

Answer: GCF=5

Factored form= 5y(2y^4+6y^2-3

Step-by-step explanation:

Answer:

1,200

Step-by-step explanation:

The formula for Simple Interest is I=prt p=principal r=rate expressed as decimal t=time in years

I=1,000*0.05*4

0.05 because 5% in decimal form it’s 0.05

4 because 48months dived by 12= 4 years

200=1,000*0.05*4 The interest is 200 but they are asking for the total value so then you add the amount you initiated with 1,000+200=1,200

Answer:

-720

Step-by-step explanation:

Simplify the two negatives with positive:

120 * 6 * -1

Multiply 6 and -1 with -6:

120 * -6

= -720

Using the scatter plot, we can see that the scatter plot has a cluster, and the variables are related. As x increases, y increases.

The scatter plot is reportedly one of the statistical graphs' most useful discoveries. John Frederick W. Herschel, an English scientist, initially proposed the scatter plot in 1833. Herschel used it to look at the orbits of the double stars. He plotted the direction of the double star with relation to the measurement year. The scatter plot was used to interpret the key link between the two measurements. The scatter plot continues to rule in both business and science, despite the widespread use of bar charts and line plots. The relationship between the points on a scale can be easily understood by merely glancing at them.

Here in the graph shown,

Two clusters can be seen in the scatterplot, and their variables are related. Y increases, but the growth is gradual, as x increases in the bottom one. As x rises in the top cluster, y rises as well, but more quickly.

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The relationship between variables, and any patterns or trends in the scatterplot, researchers and analysts can gain a deeper understanding of the data they are working with.

A scatterplot is a graphical representation of a set of data points, where each point represents an observation or measurement of two variables. Scatterplots are commonly used to visualize the relationship between two variables. The scatterplot can reveal whether there is a correlation or relationship between the two variables.

When examining a scatterplot, there are a few key things to look for. One important aspect is the presence of a cluster. If there is a cluster of points in the scatterplot, it may indicate that there is a group of observations that share similar characteristics.

Additionally, it is important to determine whether the variables on the scatterplot are related or not. If the variables are not related, there will be no discernible pattern in the scatterplot. However, if the variables are related, there will be a pattern or trend visible in the scatterplot.

In cases where there is a positive correlation, as x increases, y increases as well. This is seen as a positive slope or trend line in the scatterplot. It is important to note that correlation does not necessarily imply causation, and further analysis may be required to understand the underlying factors influencing the relationship between the two variables.

Overall, scatterplots are a powerful tool for visualizing and analyzing data, and can provide valuable insights into the relationship between two variables. By understanding the presence of clusters,

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In order to obtain a 96.5% confidence interval of width of at most 0.16 for the probability of flipping a head in a coin flipping experiment, the coin needs to be flipped 533 times.

How to calculate the number of times we have to flip a coin?

We can use the formula:

n = ((Z_α/2) / E)²

Where, n is the number of times we need to flip a coin,

Z_α/2 is the Z-score at the α/2 level of significance for the normal distribution, and E is the desired margin of error or the maximum allowable deviation from the population proportion.

In this problem, the margin of error is 0.16, and the confidence level is 96.5%.

The α value is 1 - 0.965 = 0.035.

We need to find the Z-score corresponding to α/2 = 0.0175 using a standard normal distribution table.

Z_0.0175 = -1.96n = ((-1.96) / 0.16)²n ≈ 533

Therefore, the coin needs to be flipped 533 times to obtain a 96.5% confidence interval of width of at most 0.16 for the probability of flipping a head.

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The true statements about the inequality are

n > -24.

The circle is open.

The arrow points right.

To solve for n in the inequality -2/3n < 16, we need to isolate the variable n on one side of the inequality.

First, we can multiply both sides by -3/2 to get rid of the fraction:

(-3/2) * (-2/3n) > (-3/2) * 16

n > -24

Therefore, the solution for n in the inequality -2/3n < 16 is n > -24.

The circle is open means that the inequality sign is either less than or greater than

Having greater that means it points to the right

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We can use a proportion to estimate the number of students who could be expected to bring their lunch:

9 out of 15 students brought their lunch from home.

Let x be the number of students in the school who bring their lunch from home.

So we can set up the proportion:

9/15 = x/500

We can solve for x by cross-multiplying:

9 * 500 = 15x

x = (9 * 500) / 15

x = 300

Therefore, we can expect that 300 out of 500 students in the school bring their lunch from home.

Answer:

Step-by-step explanation:

two circles: 2(πr²)

1 rectangle:Lw

3.14(7)(7)

3.14(49)

2(153.86)=307.72

307.72(14)

4308.08

The equatiοn |x - 5| = 0 means the distance between x and 5 is zerο, which implies that x = 5. And since x is less than οr equal tο 5, the sοlutiοn set is x = {5}.

An absοlute value equatiοn is an equatiοn that cοntains an absοlute value expressiοn. An absοlute value expressiοn is the distance οf a number frοm zerο οn a number line, and it is represented by twο vertical bars enclοsing the number, like |x|.

The equatiοn in the fοrm οf |x - b| = c that has the sοlutiοn set x ≤ 5 is:

|x - 5| = 0

Tο see why, cοnsider that |x - 5| is the distance between x and 5 οn the number line.

Hence, the equatiοn |x - 5| = 0 means the distance between x and 5 is zerο, which implies that x = 5. And since x is less than οr equal tο 5, the sοlutiοn set is x = {5}.

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On solving the provided question we can say that Therefore, the percent decrease in video games sales in consoles is approximately 10.43%.

Percentage is a way of expressing a number as a fraction of 100. It is often denoted using the percent symbol (%). For example, if a student scores 80 out of 100 in a test, the percentage score is calculated as (80/100) x 100, which is equal to 80%. This means the student scored 80% of the total marks available in the test. Percentages are commonly used to express rates of change, proportions, and percentages of a whole, and they are used in many fields, such as finance, science, and statistics.

$1,150 million - $1,030 million = $120 million

$120 million ÷ $1,150 million = 0.1043

0.1043 x 100% = 10.43%

Therefore, the percent decrease in video games sales in consoles is approximately 10.43%.

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Answer:

72 i think

Step-by-step explanation:

i think your supposed to multiply 9 and 8 because count the sides on the shaded part ir

ts 8

There were 7 number of pieces that were in the puzzle that took the child 30 seconds to complete,that can be found using the data given & the coordinates on the graph (7,30) which indicates the number of pieces as 7 and time as 30 sec.

What is data?

Data is the collected information that can be arranged and used for analysing or interpretation. The collected data is also called as raw data, which further needs to be arranged. The data can be represented visually, in tabular form , grouped or ungrouped form. Pictographs, bargraphs, box-whisker plot, line plot, histogram, pie chart are the visual representations.

Here given that the data is arranged in the form of graph containing x-axis & y-axis. Data collected/arranged represents the number of pieces contained in the puzzle & the time taken to solve it.

X-axis represents the number of pieces in the puzzle & Y-axis represents the time taken to complete that.

The points plotted on graph are:

(4,15): Number of pieces=4

         Time taken to complete=15 seconds

(5,15):Number of pieces=5

         Time taken to complete=15 seconds

(7,30): Number of pieces=7

         Time taken to complete=30 seconds

(8,25): Number of pieces=8

         Time taken to complete=25 seconds

(12,40): Number of pieces=12

         Time taken to complete=40 seconds

∴The puzzle that was completed by child in 30 seconds contained 7 pieces.

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Refer to the attachment for the graph.

The required solution of the linear programming problem for the given objective function and subject to constraints are,

Linear programming problem is Maximize 15x1 + 2x2

Subject to:

7x1 + x2 < 23

3x1 - x2 < 5

x1, x2 > 0

Objective function value for rounding up fraction 1/2 solution is 53

Objective function value for rounding up all fraction solution is 23.

Optimal objective function value 53 is lower than optimal value 95.5.

Optimal objective function value is always less than or equal to the LP's optimal objective function value as ILP problem is a more constrained version.

To solve the problem as an LP,

we can ignore the integer constraints

And solve the problem as a continuous linear program.

The problem can be written as,

Maximize 15x1 + 2x2

Subject to:

7x1 + x2 < 23

3x1 - x2 < 5

x1, x2 > 0

Rounding up fractions greater than or equal to 1/2,

The following feasible solution is,

x1 = 3, x2 = 4

The objective function value for this solution is 53.

However, this is not the optimal integer solution since both x1 and x2 are not integers.

Rounding down all fractions, we get the following feasible solution,

x1 = 1, x2 = 4

The objective function value for this solution is 23, which is less than the LP's optimal objective function value of 95.5.

This is not the optimal integer solution either.

Optimal objective function value for the ILP is lower than that for the optimal LP, solve the ILP problem.

In any one constraints

When x1 = 0 ⇒ x2 = 23

x2 = 0 ⇒ x1 = 3.3

Optimal value is ,

15(3.3) + 2(23)

= 49.5 + 46

= 95.5

Optimal objective function value is lower than optimal value.

The optimal objective function value for the ILP problem is always less than or equal to the corresponding LP's optimal objective function value .

Because the ILP problem is a more constrained version of the linear programming problem.

The ILP problem restricts the variables to be integers, which reduces the feasible region and makes the problem more difficult to solve.

The optimal objective function values for the LP and ILP problems are equal.

If the LP problem has an optimal solution that satisfies the integer constraints.

In general, the optimal objective function value of the MILP problem can be better or worse than that of the LP or ILP problem.

It depends on the specific problem instance.

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The above question is incomplete, the complete question is :

Given the following all-integer linear program:

Max 15x1 + 2x2

s. t.

7x1 + x2 < 23

3x1 - x2 < 5

x1, x2 > 0 and integer

a. solve the problem as an lp, ignoring the integer constraints.

b. what solution is obtained by rounding up fractions greater than or equal to 1/2? is this the optimal integer solution?

c. what solution is obtained by rounding down all fractions? is this the optimal integer solution? explain.

d. show that the optimal objective function value for the ilp (integer linear programming) is lower than that for the optimal lp.

e. why is the optimal objective function value for the ilp problem always less than or equal to the corresponding lp's optimal objective function value? when would they be equal? comment on the optimal objective function of the milp (mixed-integer linear programming) compared to the corresponding lp and ilp.

The required Perimeter and area of the shape is 27.42 units and 64.26 sq units.

The circumference of a shape is its perimeter. How is a perimeter calculated? The border can be found by including the lengths of each side of a shape.

We have given a shape which made up of two circle and rectangle

diameter of circle = 12 - 6 = 6

then radius = 3 units

Perimeter = 3+3+3+3+3+3+π(3)

= 18 + 3.14(3)

= 18 + 9.42

= 27.42 units

and

Area = area of rectangle + area of two half circles

= 12(3) + π(3)²

= 36 + 28.26

= 64.26 sq units.

Thus, required Perimeter and area of the shape is 27.42 units and 64.26 sq units.

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The probability of getting P(sum > 9) when a cube is rolled twice is 6/36.

Mathematical study of random occurrences and their results is the subject of probability theory. It entails analysing and quantifying risk, chance, and uncertainty. For modelling and studying complex systems and events in disciplines like physics, engineering, economics, and finance, probability theory offers a framework. Concepts like random variables, probability distributions, expected values, variance, and covariance are all part of the theory. In many aspects of daily life, including forecasting weather patterns, data analysis for scientific study, and calculating the likelihood of certain outcomes in games of chance, probability theory is applied.

The total number of outcomes for a 6 sided cube rolled twice is 6 x 6 = 36.

For a sum greater than 9 the possibilities are:

(4, 6), (5, 5), (5, 6), (6, 4), (6, 5), (6, 6) = 6 possibilities.

Thus,

P(sum > 9) = 6 / 36.

Hence, the probability of getting P(sum > 9) when a cube is rolled twice is 6/36.

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A(n) asymptote is a line that a graphed curve gets closer to but never touches as the value of a variable gets extremely small or extremely large. Asymptotes can be horizontal, vertical, or slanted, and they are often used to describe the behavior of functions or graphs as they approach certain limits or values.

Answer:

A(n) asymptote is a line that a graphed curve gets closer to but never touches as the value of a variable gets extremely small or extremely large. Asymptotes can be horizontal, vertical, or slanted, and they are often used to describe the behavior of functions or graphs as they approach certain limits or values.

Total 6-digit numbers that can be made from 1 to 9 will be 60480 and without repetition will be 84. The numbers that have at least one digit repeated will be 60396.

There are 9 digits from 1 to 9. If the digits are not repeated, the combination is called simple combination and is calculated using the formula

 C(n, r) = n!/ r!(n-r)!

Here n= 9 and r = 6

 C(9, 6) = 9!/6!(9-6)! = 9!/ (6! × 3!) = 84

So without repeating the digits there are 84  six digit numbers using 1 to 9.

Total numbers that can be made with or without repetition of digits is calculated by using permutations. The formula is

P( n, r) = n!/(n-r)!

           = 9!/(9-6)! = 60480

So total number without repetition = 84

Number with or without repetition = 60480

So the total numbers that have at least one digit repeated will be = 60480 - 84 = 60396

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The solution set for x + 10 ≥ 14 is x ≥ 4, and it can be represented as graph as a shaded region to the right of x = 4 on a number line.

The inequality [tex]x + 10 \geq 14[/tex] can be solved algebraically as follows:

[tex]x + 10 \geq 14[/tex]

Subtracting 10 from both sides, we get:

[tex]x \geq 4[/tex]

This means that any value of x that is greater than or equal to 4 will satisfy the inequality. To graph the solution, we can draw a number line and shade in all the values of x that satisfy the inequality. Since x is greater than or equal to 4, we can represent the solution set as follows:

────●────●────●────●────●───> x

0 1 2 3 4

The dot at x = 4 indicates that 4 is included in the solution set (since the inequality is "greater than or equal to"), and the shaded region to the right of the dot represents all values of x that are greater than 4 and satisfy the inequality.

Therefore, the solution set for [tex]x + 10 > = 14[/tex] is[tex]x \geq 4[/tex], and it can be represented as graph as a shaded region to the right of x = 4 on a number line.

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a) Yes. (b)           G        Y        R

   G  [0.60     0.00     0.40]

   Y  [1.00     0.00     0.00]

   R  [0.30     0.20     0.50]

(c) P(G, G, G, G) = 0.216. P(G, G, G, Y)= 0.144. P(G, G, G, R) = 0.120. P(G, G, Y, R) = 0.000. P(G, Y, R, R) = 0.000. P(Y, R, R, R) = 0.000

(a) Yes, this situation represents a Markov chain because the probabilities of moving to the next state (traffic light) depend only on the current state (traffic light) and not on any previous states.

(b) The transition probability matrix is:

         G        Y        R

   G  [0.60     0.00     0.40]

   Y  [1.00     0.00     0.00]

   R  [0.30     0.20     0.50]

where G represents green, Y represents yellow, and R represents red. The transition diagram can be drawn with arrows between states labeled with the transition probabilities.

(c) There are two classes: {G, Y} and {R}, where {G, Y} is a transient class and {R} is an absorbing class.

(d) Starting with the first light being green, the probabilities after three more lights are:

P(G, G, G, G) = 0.60 * 0.60 * 0.60 = 0.216

P(G, G, G, Y) = 0.60 * 0.60 * 0.40 = 0.144

P(G, G, G, R) = 0.60 * 0.40 * 0.50 = 0.120

P(G, G, Y, R) = 0.60 * 0.00 * 0.50 = 0.000

P(G, Y, R, R) = 0.00 * 0.50 * 0.30 = 0.000

P(Y, R, R, R) = 0.00 * 0.50 * 0.50 = 0.000

The interpretation of these probabilities is, for example, that the probability of passing through four consecutive green lights is 0.216, and the probability of passing through three consecutive green lights followed by a yellow light is 0.144.

(e) Let p_G, p_Y, and p_R be the proportions of green, yellow, and red lights, respectively. Then we have the system of equations:

0.60 p_G + 0.00 p_Y + 0.40 p_R = p_G

1.00 p_Y + 0.00 p_Y + 0.00 p_R = p_Y

0.30 p_G + 0.20 p_Y + 0.50 p_R = p_R

p_G + p_Y + p_R = 1

Solving this system of equations, we get:

p_G = 0.44

p_Y = 0.14

p_R = 0.42

Therefore, approximately 44% of the street lights are green, 14% are yellow, and 42% are red.

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Lilly needs 686 dark power crystals to raise 6174 zombies.

To solve this problem, we need to determine how many dark power crystals are needed to raise a specific number of zombies. We know that each crystal can raise 9 zombies. So, to determine the number of crystals needed to raise a given number of zombies, we simply divide that number by 9.

In this case, we want to know how many crystals Lilly needs to raise 6174 zombies. So we divide 6174 by 9

= 6174 / 9

Divide the numbers

= 686

This means that Lilly needs 686 dark power crystals to raise 6174 zombie

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The given question is incomplete, the complete question is:

Lilly is using dark power crystals to raise an army of zombies.each crystal can raise 9 zombies. how many crystal does Lily need to raise 6174 zombies​

Answer:

x= -48

Step-by-step explanation:

Answer (Please mark as brainliest):

x^2 - 9

Step-by-step explanation:

To distribute (x+3) (x-3), we use the FOIL method:

(x+3)(x-3) = x(x) + x(-3) + 3(x) + 3(-3)

= x^2 - 3x + 3x - 9

= x^2 - 9

The standard form of a quadratic equation is ax^2 + bx + c = 0, where a, b, and c are constants and a is not equal to 0.

In this case, the equation is already in standard form since there is only one term with x^2 and no x or constant terms:

x^2 - 9

The y-intercept (b) represents the starting cost of the smoothie (when no fruits are added), which is $3 in this case.

An algebraic expression is a mathematical phrase that can contain variables, constants, and operators (such as addition, subtraction, multiplication, and division) that are used to represent quantities and their relationships.

The equation y = 3 + 1.5x represents the relationship between the total cost of a fruit smoothie (y) and the number of fruits added to it (x).

The slope of this line is not 3, as your friend suggests. The slope of the line is actually 1.5, which represents the cost per fruit added.

To see this, we can rewrite the equation in slope-intercept form, y = mx + b, where m is the slope and b is the y-intercept:

y = 1.5x + 3

In this form, we can clearly see that the slope (m) is 1.5, not 3. The slope represents the rate of change of the y variable (cost) with respect to the x variable (number of fruits added), which is $1.50 per fruit.

Therefore, The y-intercept represents the starting cost of the smoothie (when no fruits are added), which is $3 in this case.

To learn more about Algebraic expression from given link.

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Complete question:

A snack hut is selling fruit smoothies at the beach. the cost of a smoothie is 3 dollars and an additional 1.50 for each fruit you add. your friend writes the equation y=3+1.5x and says the slope of the line that represents this relationship is 3. What does the y-intercept represent here.