Judy has 2 3/4 bags of rock that she wants to use in her yard. Each bad will cover 310.2 sq ft. How many square feet will Judy be able to cover if she used all the bags of rocks? Round up your answer to the neatest tenth place.

Answer:

$27

Step-by-step explanation:

25 * 0.08 = 2

25 + 2 = 27

Z is 52 and the difference between the values 65 and 52 is 13.

Given,

Two numbers : 65 and Z

Greatest common factor of the above numbers = 13

Z is a positive integer.

Possible values of Z is between 30 and 60.

Now,

13 x 5 = 65

So other number must be a multiple of 13 and a number below 5.

That is, 13 x 4 = 52 and 13 x 3 = 39. These are the two numbers between 30 and 60.

Now consider the difference.

65 – 52 = 13

65 – 39 = 26

In the given options we have 13 and 26 is not given in the option.

So the value of Z is 52 and the difference between 65 and 52 is 13.

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Answer:

x = -b/a

Step-by-step explanation:

ax+b = 0

Subtract b from each side

ax+b-b=0-b

ax = -b

Divide each side by a

ax/a = -b/a

x = -b/a

To use the splitpts function in Matlab, you will first need to define two sets of points with different arrays for each set. Then, you can use the syntax newSetOfPoints = splitpts(originalSetOfPoints) to split the original set of points into two new sets.

The "splitpts" function in MATLAB is used to split a set of points into two sets based on a specified split point. Here are the steps to use this function:

1. Define the set of points you want to split. For example:
```
points = [1 2 3 4 5 6 7 8 9 10];
```

2. Specify the split point. This can be any number between the minimum and maximum values of the set of points. For example:
```
splitPoint = 5;
```

3. Use the "splitpts" function to split the set of points into two sets. The first set will contain all the points less than or equal to the split point, and the second set will contain all the points greater than the split point. For example:
```
[set1, set2] = splitpts(points, splitPoint);
```

4. The resulting sets will be stored in the variables "set1" and "set2". You can display these sets using the "disp" function:
```
disp(set1);
disp(set2);
```

The output will be:
```
1 2 3 4 5
6 7 8 9 10
```

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Answer: 10

Step-by-step explanation:

9.457

Above 5= change of # before decimal point

Answer:

9

Step-by-step explanation:

9.4 rounds down to 9, if it were 9.5 it would round up to 10

Therefore, if the students earned $420 for the trip and want to allocate the money equally between the three items, they would be able to spend approximately

How much can student spend admission?

a. Admissions:  If the students plan on visiting a theme park or museum that charges admission, we need to know the cost of each admission ticket. Let's say each admission ticket costs $25. In this case, the students would be able to purchase 16 admission tickets, or spend $26.25 per admission ticket if they plan on purchasing fewer tickets.

How much can student spend food?

b. Food:     Again, we need to know how many meals the students plan on purchasing and the cost of each meal. Let's say the students plan on purchasing 3 meals at an average cost of $15 per meal. In this case, the students would be able to spend $45 on food, or $15 per meal if they plan on purchasing fewer or more expensive meals.

How much can student spend souvenirs?

c. Souvenirs:     Finally, we need to know what kind of souvenirs the students plan on purchasing and how much they cost on average. Let's say the students plan on purchasing 2 souvenirs at an average cost of $20 per souvenir. In this case, the students would be able to spend $40 on souvenirs, or $20 per souvenir if they plan on purchasing fewer or more expensive souvenirs.

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The gravitational potential energy of the vacationers will decrease as they approach the end of the pier.

As the vacationers approach the end of the pier, their gravitational potential energy will decrease.

Gravitational potential energy is the energy an object possesses due to its position in a gravitational field. It depends on the height of the object and the acceleration due to gravity.

In this scenario, as the vacationers walk out on the horizontal pier, their height above the ground remains constant. Since the height does not change, the gravitational potential energy also remains constant.

However, as they approach the end of the pier, their distance from the center of the Earth decreases. As a result, the gravitational potential energy decreases because it is directly proportional to the distance from the center of the Earth.

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Answer:

C

IS YOUR ANSWER

I HOPE IT HELPS MATE

ENJOY YOUR DAY

#CAPTAINPOWER:)

A regular hexagon can be divided into six equilateral triangles by drawing lines from the center of the hexagon to each of its vertices.

Each of these equilateral triangles has an area that is one-sixth of the total area of the regular hexagon.

When the midpoints of the sides of the regular hexagon are joined to form a smaller regular hexagon, it can be seen that the smaller hexagon is made up of six equilateral triangles, each of which has half the area of the equilateral triangles in the larger hexagon. This is because the sides of the smaller hexagon are half the length of the sides of the larger hexagon.

Therefore, the fraction of the area of the larger hexagon that is enclosed by the smaller hexagon is:

\(6 * (1/2)^2 = 6 * 1/4 = 3/2\)

This means that the smaller hexagon encloses 3/2 of the area of the larger hexagon.

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Answer:

2 1/4

Step-by-step explanation:

The denominator is the exact same number as the denominator in the original improper fraction; in this case, 4. So 9/4 equals 2 1/4.

Therefore, coin is unfair ,It is true that the coin can be considered unfair.

Calculating or estimating how likely or "possible" something is to occur is the subject of probability. Words like "certain," "impossible," or "probable" can be used to express the likelihood of an event occurring. Probabilities in mathematics are always expressed as fractions, decimals, or percent with values ranging from 0 to 1.

Here,

Step 1: We see that a coin is tossed 100 times, but we only receive heads 27 times.

In other words, the odds of a head are 27/100 or 0.27.

It is thought that there will be an equal number of heads and tails on a fair coin (or very close, if not equal).

So, using a fair coin:

P(H)=P(T)=0.5

Step 2

But in this instance, P(H)=0.27, which is a long way from 0.5.

Therefore, coin is unfair.

It is true that the coin can be considered unfair.

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The probability that a randomly selected home in Queens has 4 or more computers is 0.1 or 10%. The correct answer is (b) 0.10.

The given probability distribution table shows the probabilities of having 1, 2, or 3 computers in a randomly selected home in Queens. However, the probability of having 4 or more computers is not given in the table.

To find the probability of having 4 or more computers in a randomly selected home, we can use the complement rule. The complement rule states that the probability of an event happening is equal to 1 minus the probability of the event not happening. In this case, the event we are interested in is having 4 or more computers in a home, and the complement of this event is having 1, 2, or 3 computers in a home.

So, the probability of having 4 or more computers in a randomly selected home in Queens can be calculated as:

P(4 or more) = 1 - P(1 or 2 or 3)

P(1 or 2 or 3) = P(1) + P(2) + P(3) = 0.4 + 0.3 + 0.2 = 0.9

P(4 or more) = 1 - 0.9 = 0.1

Therefore, the probability that a randomly selected home in Queens has 4 or more computers is 0.1 or 10%. The correct answer is (b) 0.10.

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Answer:

20 degress i think

Step-by-step explanation:

Answer:

Step-by-step explanation:This particular answer works out to be undefined because it is a straight line and there is no slope and no equation for it. I will show you how to work it out though so you will know how to do it with other problems. We will still be using the y = mx + b formula. First step is to find m. In order to find the slope we would use the equation:

m = (y2 - y1) / (x2 - x1) Note: The number behind the letter designates which x or y value you will use of the 2 (x, y) plots

m = (-5 - 2) / (3 - 3)

m = -7 / 0 Note: A number divided by 0 is undefined which means your slope is undefined

Since your slope is undefined your equation would be x = 3 because your x values are both 3.

Now let's assume your second (x, y) plot was actually (-3, -5).

m = (-5 - 2) / (-3 - 3)

m = -7 / - 6 Note: A negative divided by a negative is a positive. The negatives cancel each other out.

m = 7/6

Okay now back to our slope-intercept formula.

y = 7/6x + b

Now in order to figure out what b is, we will again take the plot point and plug the values into the equation. You can use either point because either way the answer will come out the same. In this case we will use (3, 2).

2 = 7/6(3) + b

2 = 21/6 + b Note: The easiest way to do the next part is to make the 2 into a fraction over 6

12/6 - 21/6 = b

-9/6 = b or -3/2

So now all we have to do is plug this value into our equation.

y = 7/6x - 3/2

The cost of the fare based on the information is $16.32.

Amount for the fare = $12.75

Tip for the driver = 20% = 20% × $12.75 = $2.55

Tax rate = 8% = 8% × $12.75 = $1.02

Therefore the total amount will be:

= Cost of fare + Tip + Tax

= $12.75 + $2.55 + $1.02

= $16.32

The cost is $16.32. This illustrate the concept of addition.

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Answer:

30

Step-by-step explanation:

Answer:

First Of this is split up cayse the first question is already answered but 2+4+4+5+6+1+8=30

Step-by-step explanation:

2+4=6/ 6+4=10/10+5=15/15+6=21/21+1=22+8=30 So that's your answer.

Answer:

y=5x+31

Step-by-step explanation:

y=mx+b

1=(-6*5)+b

1=-30+b

31=b

y=5x+31

(5*-6)+31

-30+31

1

you can also graph a line on desmos

It takes approximately 1.63 seconds for the baseball to hit the ground after it is hit.

We are given the equation \(h(t) = -16t^2 + 40t + 5,\) which represents the height (h) of a baseball in feet as a function of time (t) in seconds after it is hit. We need to determine the time it takes for the baseball to hit the ground. To find the time when the baseball hits the ground, we need to find the value of t when the height (h) is equal to 0. This is because the baseball will be on the ground when its height is 0 feet.

Step 1: Set the height (h) equal to 0 and solve for t.
\(0 = -16t^2 + 40t + 5\)

Step 2: Solve the quadratic equation for t.
This can be done using the quadratic formula, factoring, or completing the square. We will use the quadratic formula:

\(t = (-B ± \sqrt{(B^2 - 4AC)})/ 2A\)

Where A = -16, B = 40, and C = 5.

Step 3: Plug in the values and solve for t.
\(t = (-40 ± \sqrt{(40^2 - 4(-16)(5))}) / (2(-16))\)

\(t = (-40 ± \sqrt{(1600 + 320)}) / (-32)\)

\(t = (-40 ± \sqrt{(1920)}) / (-32)\)

We get two possible values for t, but since time cannot be negative, we will only consider the positive value.

t ≈ 1.63 seconds

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Answer: 317/305 or 1 12/305

Step-by-step explanation: Reduce the expression, if possible, by cancelling the common factors.

Answer:The walnuts weigh 31 pounds PER CRATE!!!!

Step-by-step explanation:

The amount of weight of the walnuts alone will be 620 pounds.

The analysis of mathematical representations is algebra, and the handling of those symbols is logic.

PEMDAS rule means for the Parenthesis, Exponent, Multiplication, Division, Addition, and Subtraction. This rule is used to solve the equation in a proper and correct manner.

Twenty full crates of walnuts weigh 820 pounds, whereas an empty crate weighs 10 pounds.

Then the amount of the weight of the walnuts alone will be

⇒ 820 - 10 x 20

⇒ 820 - 200

⇒ 620 pounds

The amount of weight of the walnuts alone will be 620 pounds.

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Estimated regressiοn equatiοn explains 70.8% οf the variatiοn in the sample values οf Hwy MPG. The required linear regressiοn mοdel is -

Y = 29.0360+(-1.6625) X1+ (4.4686) X2 + (1.8047) X3

Linear regressiοn is a statistical methοd used tο analyze and mοdel the relatiοnship between a dependent variable (alsο called respοnse οr οutcοme variable) and οne οr mοre independent variables (alsο called predictοr οr explanatοry variables).

Withοut the dummy variables, the estimated regressiοn equatiοn fοr predicting fuel efficiency fοr highway driving based οn engine's displacement wοuld be:

Hwy MPG = 43.469 - 0.064x1

Tο incοrpοrate the dummy variables Class Midsize and Class Large, we need tο include them as additiοnal predictοrs in the mοdel. We can dο this by adding their cοefficients tο the equatiοn as fοllοws:

Hwy MPG = β0 + β1x1 + β2x2 + β3x3

where β0 is the intercept, β1 is the cοefficient fοr engine's displacement, β2 is the cοefficient fοr Class Midsize, and β3 is the cοefficient fοr Class Large.

We can find the values οf these cοefficients using multiple linear regressiοn analysis. Based οn the prοvided data, the regressiοn equatiοn becοmes:

Hwy MPG = 36.909 - 0.061x1 + 2.966x2 - 3.979x3

Therefοre, the estimated regressiοn equatiοn that can be used tο predict the fuel efficiency fοr highway driving, given the engine's displacement and the dummy variables Class Midsize and Class Large is:

Hwy MPG = 36.909 - 0.061x1 + 2.966x2 - 3.979x3

The cοefficient fοr Class Midsize is 2.966, which means that οn average, midsize cars have 2.966 higher highway MPG than cοmpact cars, hοlding engine's displacement and Class Large cοnstant. Similarly, the cοefficient fοr Class Large is -3.979, which means that οn average, large cars have 3.979 lοwer highway MPG than cοmpact cars, hοlding engine's displacement and Class Midsize cοnstant.

Tο determine hοw much οf the variatiοn in the sample values οf Hwy MPG this estimated regressiοn equatiοn explains, we can lοοk at the cοefficient οf determinatiοn (R-squared). R-squared is a measure οf the prοpοrtiοn οf the variance in the dependent variable (Hwy MPG) that is explained by the independent variables (engine's displacement, Class Midsize, and Class Large).

Sο, the required linear regressiοn mοdel is -

Y = 29.0360+(-1.6625) X1+ (4.4686) X2 + (1.8047) X3

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The statement "If A is a set, then |P(A)| is strictly larger than A" is false.

The power set P(A) of a set A is defined as the set of all subsets of A, including the empty set and A itself. The cardinality of a set A, denoted as |A|, represents the number of elements in A.

In general, the cardinality of the power set P(A) is larger than the cardinality of A, which means |P(A)| > |A|. This holds true for both finite and countable sets A. However, when A is already uncountable (such as the set of real numbers), the statement |P(A)| = |A| is true.

Therefore, the correct answer is option d. False. The statement is false because it claims that |A| # |P(A)|, implying that the cardinality of A is not equal to the cardinality of P(A).

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The required with the help of trig ratios we have,
1. x = 30.69
2. x =23.21
4. angle T = 61.42°
5. angle T = 28.5°

If you know the lengths of two sides of a right triangle, you can use trigonometric ratios to calculate the measures of one (or both) of the acute angles.

Here,
1.

Apply the sine rule,
Sin21 = perpendicular/hypotenus
sin21 = 11 / x
x = 11/sin21
x = 30.69

Similarly,
2. x =23.21
4. angle T = 61.42°
5. angle T = 28.5°

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Answer: 94, 9

Explanation:

The formula for calculating the margin of error is expressed as

margin of error = (upper value - lower value)/2

From the information given,

upper value = 103

lower value = 85

margin of error = (103 - 85)/2

margin of error = 9

To find the sample mean, we would apply the formula below;

sample mean = upper value - margin of error

sample mean = 103 - 9

sample mean = 94

Answer:

A Area

1386cm²

Using the formulas

A=πr²

C=2πr

Solving forC

C=2√πA

=2·√π·1386

≈131.97344cm

Step-by-step explanation:

Hope it is helpful...

Answer:

x = 19

Step-by-step explanation:

1 = x - 18

1 + 18 = x

x = 19

We need to utilize the concept of the z-score and the properties of the normal distribution. Given that the distribution is normal and the population variance is known, we can calculate the z-score, proportions, margin of error, and confidence interval.

a. To calculate the z-value for a person who spends 74 euros, we use the formula:    z = (x - μ) / σ    where x is the value, μ is the mean, and σ is the standard deviation.   z = (74 - 80) / √6 ≈ -2.45    The z-value of -2.45 indicates that the person's spending of 74 euros is approximately 2.45 standard deviations below the mean. It suggests that the person's spending is relatively low compared to the average.

b. To calculate the z-value for a person who spends 84 euros, we use the same formula:

  z = (84 - 80) / √6 ≈ 1.63

  The z-value of 1.63 indicates that the person's spending of 84 euros is approximately 1.63 standard deviations above the mean. It suggests that the person's spending is relatively high compared to the average.

c. To find the proportion of people who spend no more than 74 euros, we calculate the cumulative probability using the z-score:

  P(X ≤ 74) = P(Z ≤ -2.45)

  Using a standard normal distribution table or calculator, we find that P(Z ≤ -2.45) ≈ 0.0071

  Therefore, approximately 0.71% of people spend no more than 74 euros for online shopping.

d. To find the proportion of people who spend more than 84 euros, we calculate the complementary probability:

  P(X > 84) = 1 - P(X ≤ 84) = 1 - P(Z ≤ 1.63)

  Using a standard normal distribution table or calculator, we find that P(Z ≤ 1.63) ≈ 0.9474

  Therefore, approximately 5.26% of people spend more than 84 euros for online shopping.

e. To find the proportion of people who spend between 74 and 84 euros, we calculate the difference between cumulative probabilities:

  P(74 < X < 84) = P(X ≤ 84) - P(X ≤ 74)

  P(74 < X < 84) = P(Z ≤ 1.63) - P(Z ≤ -2.45)

  Using a standard normal distribution table or calculator, we find that P(Z ≤ 1.63) ≈ 0.9474 and P(Z ≤ -2.45) ≈ 0.0071

  P(74 < X < 84) ≈ 0.9474 - 0.0071 ≈ 0.9403

  Therefore, approximately 94.03% of people spend between 74 and 84 euros for online shopping.

f. The obtained result in question e means that approximately 94.03% of people fall within the range of 74 to 84 euros for online shopping.

g. To find the margin of error at a 5% significance level, we use the formula:

  Margin of Error = z * (σ / √n)

  Since the sample size is not provided, we assume it to be the same as the number of analyzed people, which is 50.

  Margin of Error = z * (σ / √n) = z * (

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