A lamp shade has a radius of 9 inches. What is the circumference of the top of the shade? Use 3.14 to approximate pi. Round your
2 answers:
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The first thing we need to do is find the rate of parts for 15 minutes.
So, we divide 114 parts per 6 minutes and get 19 parts per minute
Then we multiply this rate per minute by 15 minutes
The answer is 285
Attached Work Below:
Question is Incomplete;Complete question is given below;
Brian's gross earnings for the week of July 8, 2019, are $1227.38. His deductions comprise 23% of his total compensation.
What is his net pay?
Enter the answer to the nearest hundredth, such as $1234.56.
Answer:
Brian's Net pay is $945.08.
Step-by-step explanation:
Given:
Gross earnings for the week = $1227.38
Deductions = 23%
We need to find the net pay.
Solution:
First we will find the amount deducted.
amount deducted is equal to Deductions on Gross pay.
framing in equation form we get;
amount deducted =
Now we can say that;
Net pay is equal to Gross earnings minus amount deducted in tax.
framing in equation form we get;
Net pay =
Rounding to nearest hundred we get;
Net pay = $945.08
Hence Brian's Net pay is $945.08.
The given angles are 95° and 135, and the value of x is 40.
<h3>What is the angle sum property?</h3>The angle sum property of a triangle states that the sum of the interior angles of a triangle is 180 degrees.
The given angles are 95° and 135.
Let's consider the adjacent angle of 135 to be z.
So, as we can see that both angles make a linear pair.
z + 135 = 180
z = 180 - 135
z = 45
Let's consider the interior angle to be y.
then,
y = 95 ( vertically opposite angle)
Now, The angle sum property
x + y + z = 180
x = 180 - 95 + 45
x = 40
Thus, the value of x is 40.
Learn more about the triangles;
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Answer:
The standard deviation will be: 2.1
Step-by-step explanation:
We know that standard deviation is basically the square root of variance.
Using the formula to calculate the standard deviation
As
- The variance = s² = 4.4
so the standard deviation can be calculated as:
standard deviation
Therefore, the standard deviation will be: 2.1