Answer:
the answer is, Y= -27/64
x = 15
since the figures are similar then the ratios of corresponding sides are equal
= ( cross- multiply )
8x = 6 × 20 = 120 ( divide both sides by 8 )
x = 15
dosage, o?
Question: The number of milligrams of a certain medicine a veterinarian gives to a dog varies directly with the weight of the dog. If the veterinarian gives a 30-pound dog 3/5 milligram of the medicine, which equation relates the weight,w, and the dosage, d?
Answer: d= 1/50w
Explanation: I took the test in Edgenuity.
Hope this helps!
Answer:
The answer is
Step-by-step explanation:
we know that
A quotient is the division of two numbers
In the expression divided by n
the numerator is equal to
the denominator is equal to
so
the quotient is equal to
The complete expression divided by n plus is equal to
The work done to lift the coal is 6.8*10^5 ft-lb
Data;
Let the distance (ft) below top of the shaft be represented by x
The weight of the coal to be lifted from mine = 500lb
The work done to lift the coal is
Taking the summation limit
we can take the integration of both sides where x will the range from 0 to 400.
From the calculations above, the work done is 6.8*10^5 ft-lb
Learn more on work done on a lift here;
Answer:
8.2 *10^5 ft lb
Step-by-step explanation:
Wcoal = 800*500 = 400000 = 4*10^5 ft lb
Using a right Riemann sum
The width of the entireregion to be estimated = 400 - 0 = 400
Considering 8 equal subdivisions, then the width of each rectangular division is 400/8 = 50
F(x) = 6(400-y)
Wrope = 50(2100) + 50(1800) + 50(1500) + 50(1200) + 50(900) + 50(600)
+ 50(300) + 50(0) = 420000 = 4.2 * 10^5 ft lb
Note: Riemann sum is an approximation, so may not give a accurate value
work done = Wcoal + Wrope= 4*10^5+ 4.2 * 10^5 = 8.2 *10^5 ft lb
Answer:
$37.8125
Step-by-step explanation:
$2.75 x 12.5 = 34.375
34.375 x 10% = 3.4375
$34.375 + 3.4375 = 37.8125
Answer:
z-score for 11 minutes of advertising time is
Step-by-step explanation:
Z-scores measure the distance of any data point from the mean in units of standard deviations and are useful because they allow us to compare the relative positions of data values in different samples.
The z-score for any single data value can be found by the formula:
From the information given we know:
So