Joey, Keith, and Eli have a combined height of 7 meters. If Joey is 1 2/5 meters tall and Eli is 2 7/10 meters tall, how tall is Keith?

Answer:

The cost price of each shirt is $8.

They mark up the shirts 25%, which means they increase the price by (25/100) * $8 = $2.

So, the selling price of each shirt becomes $8 + $2 = $10.

At the end of the year, they sell the shirts for 25% off, which means they reduce the price by (25/100) * $10 = $2.50.

Therefore, the selling price of each shirt after the discount becomes $10 - $2.50 = $7.50.

The profit made on each shirt sold at the end of the year is the difference between the selling price and the cost price, which is $7.50 - $8 = -$0.50.

Since the profit is negative, it means that the Spirit Club is making a loss of $0.50 on each shirt sold at the end of the year.

Answer:

2/9

Step-by-step explanation:

First off, a positive + and a negative - equals to a negative

So it will be 5/9-1/3.

We have to have a common denominator.

The common denominator is 9.

1x1=3

3x3=9

5/9-3/9=2/9

Answer:

I don't know if I'm correct but I got 0.27

Answer:0.013

Step-by-step explanation:

Answer:

Step-by-step explanation:

1. cannot be determined. We don't have all the numbers so you can't find the mean (average).

2. True. The median is the line in the middle of the box. The median for movie 1 is greater than 600 and the median for movie 2 is less than 600.

3. True. Interquartile range is the biggest number of the box minus the smallest number of the box. Movie 1 is approximately 200 and movie 2 is approximately 70.

4. True. Q3 is the last line of the box.

Answer:

85 km

Step-by-step explanation:

Answer:

The answer is B. I believe :)

Step-by-step explanation:

Hope this helped!

Answer:

d.) \((-2,1,2,5)\)

Step-by-step explanation:

For (x,y), x is the independent variable, and the value of y depends on x. This also means that x would be the input, and y would be the output. Record all of the points on the graph, and then note all the y values:

\(points:(-2,5)(-1,1)(2,-2)(5,2)\\\\y-values:-2,1,2,5\)

The correct answer is d.

:Done

Step-by-step explanation:

Since the polygon has four vertices (D,E,F and G), it is a quadrilateral (4 vertices).

Answer:quadrilateral

Step-by-step explanation:

It has four points, so it has four sides which makes it a quadrilateral.

Answer:

\(\frac{2}{15}\)

Step-by-step explanation:

Substitute the values for a and c into the expression

- 2c + a

= - 2× \(\frac{3}{10}\) + \(\frac{11}{15}\)

= - \(\frac{3}{5}\) + \(\frac{11}{15}\)

= - \(\frac{3(3)}{5(3)}\) + \(\frac{11}{15}\)

= - \(\frac{9}{15}\) + \(\frac{11}{15}\)

= \(\frac{2}{15}\)

The determinant of the given matrix using expansion by cofactors is -29640.  In expansion by cofactors, the determinant of an n x n matrix can be computed by expanding along any row or column.

Let's expand along the first row of the given matrix.

The cofactor of each element in the first row is found by taking the determinant of the submatrix formed by excluding the row and column of that element, and multiplying it by the sign \((-1)^{(i+j)\), where i and j are the row and column indices of the element.

For example, the cofactor of the element w is determined by taking the determinant of the submatrix:

10 -18 32

32 22 -35

The determinant of this 2 x 2 submatrix is (10 * (-35)) - (32 * 22) = -1050 - 704 = -1754. Multiplying this by the sign (-1)^(1+1) = 1 gives us the cofactor of w as -1754.

Repeating this process for each element in the first row, we have:

Cofactor of w = -1754

Cofactor of x = -2684

Cofactor of y = -1020

Cofactor of z = -2182

Finally, we calculate the determinant by multiplying each element in the first row by its corresponding cofactor and summing them up:

w * (-1754) + x * (-2684) + y * (-1020) + z * (-2182) = -29640

Therefore, the determinant of the given matrix using expansion by cofactors is -29640.

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Answer:

Step-by-step explanation:

The scale factor is 2

The most appropriate outcome for a patient with a nursing diagnosis of Constipation related to slowed gastrointestinal motility secondary to pain medications would be: a. Patient will have one soft, formed bowel movement by end of shift.

The outcome of "Patient will have one soft, formed bowel movement by the end of the shift" is the most appropriate for a patient with the nursing diagnosis of Constipation related to slowed gastrointestinal motility secondary to pain medications.

This outcome is specific and directly addresses the issue of constipation. It sets a clear goal for the patient to achieve a single bowel movement that is soft and formed, indicating improved bowel function. By specifying "by the end of the shift," it provides a time frame for assessing the outcome and allows for evaluation of the patient's progress.

The outcome focuses on the desired result, which is to alleviate constipation and improve gastrointestinal motility. It takes into consideration the impact of pain medications, which can contribute to slowed bowel movements. By aiming for a soft and formed bowel movement, it indicates the goal of promoting regular and healthy bowel function for the patient.

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Answer:

Step-by-step explanation:

Note that the expression is the difference of squares.

36 -  9m² = 6² - (3m)²

6² - (3m)² = (6 + 3m) (6 - 3m)

Answer:

9(2+m)(2-m)

Step-by-step explanation:

If you decide to conduct research to look for associations among variables, you are likely to find either no association or some association.

When conducting research to explore associations among variables, the outcome can vary. You may encounter situations where there is no significant association between the variables being studied. This means that the variables are independent of each other, and their values do not vary systematically or predictably in relation to one another.

On the other hand, you may also discover that there is some association between the variables. This indicates that there is a relationship or connection between the variables, and changes in one variable are related to changes in another variable.

It is important to note that the strength and nature of the associations can vary. Associations can be strong or weak, positive or negative, linear or nonlinear, depending on the specific research question and the variables under investigation.

When conducting research to explore associations among variables, it is likely that you will find either no association or some association. The specific outcome will depend on the nature of the variables and the analysis conducted. It is essential to interpret the results carefully and consider the context and limitations of the study when drawing conclusions about the associations observed.

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The union and intersection of n sets that are all subsets of the universal set u can be found using bit strings.

Bit strings are a way of representing sets as strings of binary digits. To represent a set, each element is assigned a digit of 0 or 1. A 1 indicates that the element is in the set, while a 0 indicates that the element is not in the set.

The union of the sets is found by combining the bit strings and setting any digit that is 1 in any of the sets to a 1. The intersection is found by comparing the bit strings and setting any digit that is 1 in all of the sets to a 1.

By using bit strings, we can quickly and accurately find the union and intersection of n sets that are all subsets of the universal set u.

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Answer: 1380

Step-by-step explanation:

We have been given that population density is the number of people per unit of area.

Therefore, the population of the region would be 1380 people.

\( \sqrt{ - 75s} \\ \\ \\ s = - 3 \\ \\ \\ \sqrt{ - 75 \times - 3 } \\ \\ \\ \sqrt{225} = 15 \: ans\)

Answer:

h = 16

Step-by-step explanation:

By applying the Pythagorean Theorem, the slant height is given by the formula:

\(\sqrt{r^2+h^2}\)

34 = \(\sqrt{30^2 + h^2}\)

\(34^2 = 30^2 + h^2\)

\(1156 = 900 + h^2\)

\(256 = h^2\)

\(h = \sqrt{256}\)

\(h = 16\)

Answer:

The difference is meaningful because the means are separated by about 3 MADs.

If you have applied for two jobs a and b and the probability that you get an offer for the job a is 0.25 and the probability of being offered job b is 0.20, then the probability that you will be offered both jobs is 0.05.

Probability is a term used in mathematics that is concerned with the numerical illustration of the possibility of an event to take place. Its value is between 0 and 1 where 0 illustrates the impossibility of the event to take place while 1 illustrates the certainty of an event to take place.

As the probability of both the jobs are not dependent on each other, the probability that both jobs will be offered can be calculated by the formula;

P(A∩B) = P(A) × P(B)

Here, P(A∩B) represents the probability of both the events to take place together

As P(A) is equal to 0.25

P(B) is equal to 0.20

P(A∩B) = (0.25)(0.20)

P(A∩B) = 0.05

Therefore, 0.05 is the probability that both jobs will be offered.

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Answer:

Step-by-step explanation: go to the x axis that goes left to right and go to the #4 and then go down 3

Answer:

a = 27

perimeter = 3a

= 3 * 27

= 81

Answer: ^3(2+)^4)

Step-by-step explanation: (5^=+6)+9(=)7+3^

i want a brainliest

Answer:

2

Step-by-step explanation:

a(x) = x^3 – 4x – 3

a(0) = 0 - 0 -3

a(0) = -3

a(x) = l –2x - 5|

a(0) = | 0 - 5 |

a(0) = 5

therefore a(0) = -3 + 5 = 2

The percentage of total deliveries made by Aldo is 60%.

A percentage is a number or ratio expressed as a fractin of 100. It is often denoted using a percent "%" sign.

It is given that,

Total number of deliveries to be made = 30

Deliveries made so far = 18

Now, for the percentage of his total deliveries we need to divide deliveries made so far with the total deliveries,multiplied by 100%.

⇒ Percentage of his total deliveries = Deliveries made so far/Total number of deliveries

⇒ Percentage of his total deliveries = 18/30*100%

⇒ Percentage of his total deliveries = 60%

Hence,the percentage of total deliveries made by Aldo is 60%.

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The z-score when x = 89 is approximately 2.632. This means that 89 is 2.632 standard deviations to the right of the mean.

To find the z-score when x = 89, we can use the formula:

z = (x - μ) / σ

where x is the value (89 in this case), μ is the mean (64 in this case), and σ is the standard deviation (9.5 in this case).

Substituting the given values:

z = (89 - 64) / 9.5

z ≈ 2.632

So, the z-score when x = 89 is approximately 2.632. This means that 89 is 2.632 standard deviations to the right of the mean.

Please note that the mean is 64, as stated in the problem.

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The correct option is (b) sample size.

In the formula for calculating the standard deviation, the letter n represent  sample size.

What is standard deviation?

Standard deviation is a statistical standard measure in finance that, when applied to an investment's annual rate of return, sheds light on its historical volatility.

Some key features regarding the standard deviation are-

A square root of a value deduced from correlating data points to a population's collective mean is used to calculate standard deviation. The formula is:

Standard Deviation = \(\sqrt{\frac{summation n to i=1 (x_{i}-bar x )}{n-1} }\)

Where,

\(x_{i}\)= value of the i th point the the given data set.

\(barx\)= mean value

n = total number of data points.

Thus, the standard deviation, on the other hand, determines all ambiguity as risk, even when it is in the investor's favor, like above-average returns.

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We want to find the probability that the sample mean cholesterol value falls within certain ranges. Specifically, we want to find the probability that the sample mean cholesterol value is between 145 and 165 (part a) and between 140 and 170 (part b).

The probability that the sample mean cholesterol value is between 145 and 165 can be found using the central limit theorem (CLT). Since the sample size is large (n = 16), the sample mean cholesterol value will be approximately normally distributed, regardless of the underlying population distribution. We can assume that the sample mean cholesterol value follows a normal distribution with mean μ and standard deviation σ/sqrt(n), where μ is the population mean cholesterol value and σ is the population standard deviation.

Using this assumption, we can calculate the z-score for each end of the interval:

z1 = (145 - μ) / (σ / sqrt(n))

z2 = (165 - μ) / (σ / sqrt(n))

Then, we can use a standard normal distribution table or a calculator to find the probability that the sample mean cholesterol value falls between these z-scores:

P(145 < x^- < 165) = P(z1 < Z < z2)

where Z is a standard normal random variable.

Similarly, to find the probability that the sample mean cholesterol value is between 140 and 170 (part b), we can calculate the corresponding z-scores and use the same formula.

In both cases, the assumption of normality may not be appropriate if the population distribution is strongly skewed or has heavy tails. In such cases, non-parametric methods or bootstrapping may be more appropriate.

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Answer:

48

Step-by-step explanation: