Can anyone teach me how to do this?

Answer:

Step-by-step explanation:

hope this helps

The candy will be 2 feet in the air after approximately 0.19 seconds (to the nearest thousandth).

The answer closest to this value is option d, 0.625 seconds.

The equation to model the height of the candy thrown by Elmo is given by:

h = -16t^2 + 10t + 3

To find the time when the height of the candy is 2 feet,

We need to solve for t when h = 2:

2 = -16t^2 + 10t + 3

Expanding and rearranging the equation:

-16t^2 + 10t - (-1) = 0

Using the quadratic formula:

t = (-b ± √(b^2 - 4ac)) / 2a

Where a = -16, b = 10, and c = -1.

Plugging in the values:

t = (-10 ± √(10^2 - 4(-16)(-1))) / 2(-16)

t = (-10 ± √(100 + 64)) / (-32)

t = (-10 ± √(164)) / (-32)

t = (-10 ± 4) / (-32)

t = (-14 / -32) and (-6 / -32)

t = 14/32 and 6/32

The smaller value, 6/32, represents the time after which the candy will be 2 feet in the air.

Converting it to a decimal:

6/32 = 0.1875 seconds

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The quadratic inequality that represents the graphs is

The line in the graph is a solid line hence the equation will have a greater than or equal to or les than or equal to

For shading  above the curve the is greater than or equal to.

comparing with the equation

y = a(x - h)² + k

where

h  and k are the coordinates at the vertex

For a graph opening upward "a" is positive

The first option matches the conditions

y ≥ 2/3 (x + 3)² - 23

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b. Distribution B has a higher variance is an accurate statement regarding these two distributions.

Variance is a measure of the spread of a probability distribution. It tells us how far away from the mean values in the distribution are. The higher the variance, the more spread out the values are.

In this case, Distribution B has a higher variance than Distribution A. To calculate the variance of a distribution, we use the formula:

[tex]$$\sigma^2 = \sum_{i=1}^{n} (x_i - \mu)^2 \cdot P(x_i)$$[/tex]

Where [tex]$x_i$[/tex] is a possible value, [tex]$P(x_i)$[/tex] is the probability of that value, and [tex]$\mu$[/tex] is the mean of the distribution. If we use this formula to calculate the variance of each distribution, we'll find that the variance of Distribution B is larger than the variance of Distribution A.

This means that the values in Distribution B are more spread out and less consistent than the values in Distribution A, making Distribution B have a higher variance.

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Answer:

3.814697266x10

Step-by-step explanation:

Answer:

14:1:5

because of [tex]\frac{70}{5} =14\\\\\frac{5}{5}=1\\ \\\frac{25}{5}=5[/tex]

2^x · 3^y · 108 = 2^a · 3^b. The sum of a and b in terms of x and y is option C. x + y + 4

To solve for a and b, we need to determine what they equal in terms of x and y.

First, we can simplify the right side of the equation:

2^a · 3^b = 2^a · (3^2)^(b/2) = 2^a · (2^3)^(b/2) = 2^(a + 3b/2)

Next, we simplify the left side of the equation:

2^x · 3^y · 108 = 2^x · 3^y · (2^2 · 3^2) = 2^x · 3^y · (2^2)^(log3(108)/log3(2^2)) · 3^2 = 2^x · 3^(y + 2)

Comparing the two sides of the equation, we see that:

a + 3b/2 = x + (y + 2)

Solving for a and b, we get:

a = x + y

b = 2(y + 2)

So, the sum of a and b is:

a + b = x + y + 2(y + 2) = x + y + 2y + 4 = x + 3y + 4.

The answer is therefore C: x + y + 4.

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The increase in the minimum wage to $8.00 per hour could potentially lead to an increased demand for clothes due to higher purchasing power and potential shifts in consumer preferences.

We have,

Increasing the minimum wage to $8.00 per hour can have some impact on the demand for clothes.

Here are a few potential effects to consider:

Increased purchasing power:

When the minimum wage is increased, low-wage workers have more disposable income. This extra income can lead to increased consumer spending, including on clothing.

As a result, there could be a boost in the demand for clothes as more people can afford to purchase new clothing items.

A shift in consumer preferences:

With a higher minimum wage, individuals who previously had limited resources may now have the ability to choose higher-quality clothing or purchase from more expensive brands.

This shift in consumer preferences could lead to changes in the demand for different types of clothes and potentially result in an increase in demand for higher-end or premium clothing.

Price sensitivity:

While an increase in the minimum wage may provide workers with more spending power, some individuals may still be price-sensitive and prefer more affordable clothing options.

As a result, there may be continued demand for lower-priced clothing items or a preference for sales and discounts.

Employment and production costs:

An increase in the minimum wage could potentially lead to higher labor costs for clothing manufacturers and retailers.

To mitigate these increased costs, businesses may take steps such as adjusting their pricing strategies, implementing cost-saving measures, or exploring more efficient production methods.

These factors could impact the overall supply of clothes and potentially influence prices.

Thus,

The increase in the minimum wage to $8.00 per hour could potentially lead to an increased demand for clothes due to higher purchasing power and potential shifts in consumer preferences.

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so this how this problem is done hope you understood

Answer:

I think that b or c I believe

Measure of all the angles shown in diagram are, 124°.

Parallel lines are those lines that are equidistance from each other and never intersect each other.

We have to given that;

Angles shown in figure.

Now, By definition of alternate angles of parallel lines we get;

⇒ 10x + 14 = 15x - 41

Solve for x;

⇒ 14 + 41 = 15x - 10x

⇒ 55 = 5x

⇒ x = 55/5

⇒ x = 11

Thus, Measure of angles are,

⇒ 10x + 14 = 10 × 11 + 14

                 = 110 + 14

                 = 124

⇒ 15x - 41 = 15 × 11 - 41

                = 165 - 41

                = 124

Thus, Measure of all the angles shown in diagram are, 124°.

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If event a and event b cannot occur at the same time, then events a and b are said to be a. mutually exclusive.

Probability and Statistics are two basic concepts in the branch of Mathematics. Probability is all about the likelihood of an event, whereas statistics is more about how we handle various data using different techniques.

By using probability and statistics, you can process complex data in a way that is very easy to understand.

Probability is one of the topics that often comes up when discussing statistics. The reason is, this one theory is commonly used when trying to predict something.

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Answer:

Step-by-step explanation:

Thats true

Answer:

The simplified expression is 5x² + 2x - 4.

Step-by-step explanation:

Refer the table attached for the empirical formula calculations

What is the percentage?

It's the ratio of two integers stated as a fraction of a hundred parts. It is a metric for comparing two sets of data, and it is expressed as a percentage using the percent symbol.

calculate the percentages By the atoms' relative atomic mass, divide them. The values are obtained after division. The`1 ratio that results from dividing all of the values by the value that is the least will serve as the empirical formula.

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Cameron is left with 11/6 of a pan by using mathematical operation known as subtraction.

Given,

Total number of brownies = 2 pans

Cameron ate = 1/6 of a pan

In this question we will be using mathematical operation known as subtraction.

Subtraction is an arithmetic operation that involves finding the difference between two numbers. In other words, it is the process of removing a quantity from another. It is a fundamental mathematical concept that is widely used in everyday life, from calculating the change from a purchase to determining the difference between two quantities. Subtraction can be performed with whole numbers, decimals, fractions, and even with negative numbers. In all cases, the process of subtraction involves aligning the numbers to be subtracted, either vertically or horizontally, and then subtracting the smaller quantity from the larger one.

Brownies left = 2 pans - 1/6 of pan

                      = 12/6 -1/6

                      = 11/6 pan

Hence, she is left with 11/6 of a pan to eat.

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Many ways can 3 baseball players and 5 basketball players be selected from 12 baseball players and 12 basketball players are 173040 ways.

This is a combination problem, and we want to find the number of ways to choose 3 baseball players and 5 basketball players from a pool of 12 baseball players and 12 basketball players.

The formula for combinations is: C(n, k) = n! / (k! (n - k)!).

The total number of combinations is the product of the number of combinations for each group, so 220 * 792 = 173040.

Therefore, there are 173040 ways to choose 3 baseball players and 5 basketball players from a pool of 12 baseball players and 12 basketball players.

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Assuming 100 transactions, the investor will receive $1,000.

Explicación paso a paso:

The difference between the values of each action represents the gain or loss of each action; if this difference decreases, a loss would be apparent.

Gain = Increase in each action times the number of actions

Capital of the Acionista in Acciones = Cantidad of Acciones * Acción Value

If each share the investor purchased rises from $20 to $30

$30 - $20 = $10 profit per action

Assuming 100 transactions, the investor will receive $1,000.

100* $10 = $100

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The question is:

How much money would a shareholder with 100 shares make if each one grew in value from $20 to $30?

The expression for the electric field strength at 1/2 R is E = [tex]\frac{8 \times \pi\times k \times q \times r^2 }{(1/2R)^2}[/tex], and the expression for the electric field strength at 2R is E = [tex]\dfrac{ 2 \times \pi \times k \times q \times r^2 }{(2R)^2}[/tex]

A spherical shell in geometry is a three-dimensional version of an annulus. It is the area of a ball that lies between two concentric spheres with various radii.

(A) The equation E = k × q / r2 can be used to determine the electric field strength at a point P outside of a uniformly charged sphere, where k is the Coulomb constant, q is the charge, and r is the distance between the point P and the sphere's centre.

For a spherical shell of radius r carrying charge 2q, the total charge on the shell can be considered as 2 × 4 × π × r² × q, where q is the surface charge density on the shell.

The electric field strength at 1/2R can be calculated using this formula as follows:

E = [tex]\dfrac{k \times (2 \times 4 \times \pi \times (r^2) \times q)}{((1/2R)^2)}[/tex]

[tex]= \dfrac{8 \times \pi\times k \times q \times r^2 }{(1/2R)^2}[/tex]

(B) Similarly, the electric field strength at 2R can be calculated as:

E = [tex]\dfrac{k \times (2 \times 4 \times \pi \times (r^2) \times q)}{(2R)^2}[/tex]

[tex]= \dfrac{ 2 \times \pi \times k \times q \times r^2 }{(2R)^2}[/tex]

Hence, the expression for the electric field strength at 1/2 R is E = [tex]\frac{8 \times \pi\times k \times q \times r^2 }{(1/2R)^2}[/tex], and the expression for the electric field strength at 2R is E = [tex]\dfrac{ 2 \times \pi \times k \times q \times r^2 }{(2R)^2}[/tex]

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The required number of birdhouses can be made through the 13 feet of wood are 5 birdhouses.

The ratio can be defined as the proportion of the fraction of one quantity towards others. e.g.- water in milk.

Here,
A birdhouse consists of 2 1/2 feet of wood,
he has a total of 13 feet of wood.
Number of birdhouses
= ratio of wood total length / used to build one birdhouse
= 13 / [2 /1/2]
= 5.2
≈ 5

Thus,  the required number of birdhouses can be made through the 13 feet of wood are 5 birdhouses.

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The scatterplot that displays the line of best fit for the data would be the scatterplot that includes the calculated line of best fit plotted on the graph along with the data points.

A line of best fit, also known as a regression line, is a line that represents the relationship between two variables in a scatterplot. The line of best fit is used to describe the overall trend in the data and can be used to make predictions about one variable based on the values of the other variable.

The line of best fit in a scatterplot can be represented as a straight line, a polynomial, or another type of mathematical function, depending on the relationship between the variables. To find the line of best fit, the student would need to use statistical techniques such as linear regression or polynomial regression to calculate the equation of the line that best represents the data.

The line of best fit is then plotted on the scatterplot along with the data points, creating a visual representation of the relationship between the two variables. The line of best fit can be used to make predictions about one variable based on the values of the other variable, and to determine the strength and direction of the relationship between the two variables.

Thus, In conclusion, the scatterplot that displays the line of best fit for the data would be the scatterplot that includes the calculated line of best fit plotted on the graph along with the data points.

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The scatterplot that displays the line of best fit for the data is the scatterplot that includes the computed line of best fit drawn on the graph with the data points.

The scatterplot that includes the computed line of best fit shown on the graph with the data points is the scatterplot that displays the line of best fit for the data.

A line of best fit, also known as a regression line, is a line in a scatterplot that illustrates the connection between two variables. The line of best fit is used to depict the general trend in the data and may be used to forecast one variable based on the values of another.

Depending on the relationship between the variables, the line of best fit in a scatterplot can be depicted as a straight line, a polynomial, or another sort of mathematical function. The learner would need to apply statistical techniques such as linear regression or polynomial regression to derive the equation of the line that best represents the data in order to obtain the line of best fit.

The line of best fit is then drawn alongside the data points on the scatterplot, producing a visual depiction of the connection between the two variables. The line of best fit may be used to anticipate the value of one variable based on the value of another variable, as well as to identify the strength and direction

To summarize, the scatterplot that displays the line of best fit for the data is the scatterplot that includes the computed line of best fit drawn on the graph with the data points.

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The selling price of the 6 dining chairs is $3690

An equation is an expression showing the relationship between two or more numbers and variables. An equation can either be linear, quadratic, cubic and so on depending on the degree.

6 dining chairs together cost $1845.00. The chairs were sold to get a profit of 100%. Let x represent the selling price

The formula needed is:

Profit = [(selling price - cost price)/cost price] * 100%

Hence, substituting:

100% = [(x - 1845]/1845] * 100%

(x - 1845]/1845 = 1

x - 1845 = 1845

x = 3690

The selling price is $3690

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Answer:

Answer is (C) .....

Subtract 3 from both sides of the equation, and then divide both sides by 2.

Answer:

y ≤ 4

Step-by-step explanation:

The amount of work done by friction is 72 Joules (60 N x 1.2 m = 72 J).

The amount of work done by friction can be determined using the equation W = Fd, where W is work, F is force, and d is distance. In this case, the friction force is 60 N, and the distance is 1.2 m. Therefore, the amount of work done by friction is 72 Joules (60 N x 1.2 m = 72 J).

The amount of work done by friction can be thought of as the energy required to overcome the friction between the baseball player and the third base. The friction force acts in the opposite direction of the player's motion, opposing their forward momentum. As the player slides into third base, they must do work to overcome the friction force and move forward. The work done by friction is equal to the amount of energy that the player must expend to complete the motion.

In this case, the player must do 72 Joules of work to overcome the friction force and slide into third base. This is equal to the friction force (60 N) multiplied by the distance (1.2 m). As the player slides over the surface of the base, they must do this amount of work to complete the motion.

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Answer:

9.5

Step-by-step explanation:

She would need 9.5 yards of ribbon to make 19 bows, since 1/2 * 19 = 9.5

The Answer Is Underneath This Sentence.

Step-by-step explanation:

Its The First One.

The correct option is (C) The geom_jitter() function.

The jitter geom is a convenient shortcut for geom_point(position = "jitter"). It adds a small amount of random variation to the location of each point, and is a useful way of handling overplotting caused by discreteness in smaller datasets.

geom_jitter(mapping = NULL, data = NULL, stat = "identity",

 position = "jitter", ..., width = NULL, height = NULL, na.rm = FALSE,

 show.legend = NA, inherit.aes = TRUE)

Since we want points to be jittered and dodged, we can use geom_point with position_jitterdodge (). Make sure to specify the "group" variable: this graph specifies three potential grouping variables (cluster, region, cd_code), and position_jitterdodge can't tell which two to use unless specified.

The geom_jitter() function creates a scatterplot and then adds a small amount of random noise to each point in the plot to make the points easier to find.

Thus, the correct option is (C) The geom_jitter() function.

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The correct option is (C) The geom_jitter() function.

The jitter geom is a convenient shortcut for geom_point(position = "jitter"). It adds a small amount of random variation to the location of each point, and is a useful way of handling overplotting caused by discreteness in smaller datasets.

geom_jitter(mapping = NULL, data = NULL, stat = "identity",

position = "jitter", ..., width = NULL, height = NULL, na.rm = FALSE,

show.legend = NA, inherit.aes = TRUE)

Since we want points to be jittered and dodged, we can use geom_point with position_jitterdodge (). Make sure to specify the "group" variable: this graph specifies three potential grouping variables (cluster, region, cd_code), and position_jitterdodge can't tell which two to use unless specified.

The geom_jitter() function creates a scatterplot and then adds a small amount of random noise to each point in the plot to make the points easier to find.

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The sequence of transformations that will map polygon JKLM onto polygon YXWZ is given as follows:

A translation by <-6, -5>, then a rotation 90º counterclockwise about the origin, and a reflection across the y-axis.

The vertices of polygon JKLM are given as follows:

J(-4,1), K(0,0), L(2,2) and M(0,-6).

The equivalent vertices on polygon YXWZ are given as follows:

Y(6,2), X(5,6), W(7,8), Z(-1,6).

Hence the composite rule for the y-coordinate is given as follows:

x + 6.

Which means that at some point y = x, hence there was a 90º counterclockwise rotation.

The addition to 6 means that there was a translation adding/subtracting 6 to the x-coordinate, hence the last option is correct.

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The series of transformation that maps the polygon JKLM to the polygon YXWZ are;

A rotation 90° about the origin, then a reflection about the x-axis and a translation by (5, 6)

A transformation involves the change in the position, size, shape of orientation of a geometric figure.

The coordinates of the vertices of the polygon JKLM are; J(-4, 1), K(0, 0), L(2, 2), and M(0, -6)

The coordinates of the vertices of the polygon YXWZ are; Y(6, 2), X(5, 6), W(7, 8), and Z(-1, 6)

Point J in JKLM corresponds to point Y in YXWZ

A rotation of point J 90° clockwise produces the image, (1, 4)

A reflection of the point (1, 4) across the x-axis produces an image at the point (1, -4)

A translation (5, 6), produces the point (6, 2)

Therefore, the series of rigid transformations that maps the image YXWZ, from the preimage JKLM are;

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A 16-inch pizza might serve 10–12 people if you're providing a meal with sides and appetizers.

Therefore, the correct answer is serve.

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