Answer:
Weighted mean hourly charge = $168.28 (Approx)
Given:
Charge for research = $125 per hour
Charge for consultations = $80 per hour
Charge for writing a brief = $250 per hour
Research work = 12 hour
Consultations = 8 hour
Writing = 15 hour
Computation:
Total hours = 12 + 8 + 15 = 35 hours
Total charge for researching = $125 × 12 = $1,500
Total charge for consulting = $80 × 8 = $640
Total charge for writing = $250 × 15 = $3,750
Total charge = $5,890
Weighted mean hourly charge = 5890 / 35
Weighted mean hourly charge = $168.28 (Approx)
The answer is 70.......
Answer:
28% of 250 is 70
Step-by-step explanation:
If you turn 28% into a decimal it will turn into 0.28 so then multiply that by 250 and you'll get 70
The perimeter and area of the composite shape is:
Recall:
Area of a circle = πr²
Perimeter of circle = 2πr
Area of triangle = 1/2(bh)
The composite shape given is composed of a triangle and a semicircle.
Perimeter of the composite shape = Perimeter of semicircle + the length of the two sides of the triangle
Perimeter = 1/2(2 × 3.14 × 3) + 2(5) = 19.42 inches
Area of the composite shape = area of semicircle + area of triangle
Area = 1/2(3.14 × 3²) + 1/2(6 × 4)
Are = 14.13 + 12
Area of the composite shape = 26.13 square inches.
Therefore, the perimeter and area of the composite shape is:
Learn more about area and perimeter of composite shapes on:
Answer:
Step-by-step explanation:
The composite shape consists of a semi circle and a triangle. The formula for determining the perimeter of a semicircle is expressed as
Perimeter = 1/2 × 2πr = πr
Since radius, r = 3, then
Perimeter of semi circle = 3 × 3.14 = 9.42 inches
Perimeter of composite shape = 9.42 + 5 + 5 = 19.42 inches
Area of semi circle = 1/2 × πr²
Area of semicircle = 1/2 × 3.14 × 3² = 14.13 inches²
Area of triangle = 1/2 × base × height
Area of triangle = 1/2 × 6 × 4 = 12 inches²
Area of composite shape = 14.13 + 12 = 26.13 inches²
For a vending machine having Service time is 20 seconds per cup and customers arrive at a mean rate of 64 per hour, then average number of customers waiting in a line is 0.10
Number of customer in a queue means those who are waiting for a server.
Given the following information:
Mean arrival rate of customer, μ=64 customers per hour
Service time is 20 seconds per cup that is 1 customer per 20 seconds
λ=180 customers per hour
Average number of customers waiting in a line,
On substituting the values,
Thus, average number of customers waiting in a line is 0.10
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Complete question:
A vending machine dispenses hot chocolate or coffee. Service time is 20 seconds per cup and is constant. Customers arrive at a mean rate of 64 per hour, and this rate is Poisson-distributed. Determine the average number of customers waiting in line.
This problem engages queueing theory in mathematics, specifically it involves a vending machine with constant service time and Poisson-distributed customer arrival rate. The system is analyzed to be stable as the service rate surpasses the arrival rate.
This problem is a classic case of queueing theory in mathematics, particularly relevant in Probability and Statistics. Our case involves a vending machine that has a constant service time of 20 seconds per cup of hot chocolate or coffee. The mean customer arrival rate is presented as 64 per hour, described as being Poisson-distributed.
To start, consider the service rate. With the service time being a constant 20 seconds per cup, this translates to 3 cups being served per minute or 180 cups per hour. This value becomes our service rate µ. For the arrival rate or lambda (λ), the rate was given as 64 customers per hour.
In this particular queuing system, the service rate is higher than the arrival rate. This means that the system is stable, and queues are not expected to be overly long because customers are being served at a faster rate than they are arriving.
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B) cos(C)
C) sin(B)
D) sin(C)
Answer:
C).
Step-by-step explanation:
Since angles A and B are complementary, their cofunctions are equal. So, cos(A) = sin(B).
Answer:
Step-by-step explanation:
There are lots of ways we can think about the typical number of cavities.
The most patients had 0cavities.
If we split the cavities evenly, each patient would have 2 or 3 cavities.
If we put our dot plot on a balance scale, it would balance when the pivot was between 2 and 3 cavities.
The scale would tip if, for example, we put the pivot at 5 cavities.
There are 8 patients with 2 cavities each. About half of the rest of the patients have fewer than 2 cavities and about half have more than 2 cavities.
Of the choices, it is reasonable to say that a patient typically had about 2 cavities.
,
-Written in
The 'typical' number of cavities one patient had can be determined by finding the mode (most common number) in the data set, which should be represented in the dot plot. To do this, one would count the number of dots at each value on the dot plot. The value with the most dots would be the 'typical' number of cavities.
The question is asking for a 'typical' number of cavities one patient had out of Dr. Vance's 63 patients. In statistics, a typical, or 'common', value can be shown by calculating the mode, which is the number that appears most frequently in a data set.
Unfortunately, the dot plot is missing from the information provided. However, to find the mode (or typical value) using a dot plot, you would typically count how many dots are at each value on the plot. The value with the most dots (indicating the most patients with that number of cavities) is the mode. This would be the 'typical' number of cavities a patient of Dr. Vance had last month.
Let's create a hypothetical scenario. If your dot plot looked like this:
The mode would be 2 cavities because 24 patients had this amount, more than any other amount. Therefore, the 'typical' number of cavities one patient had would be 2.
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