Answer: 9
Step-by-step explanation: You have to use PEMDAS for this equation. First, E for Exponent. 2 to the 3rd power is 8. Then, M for Multiply. 4 times 2 is 8. You then add the two 8’s together. Finally, S for Subtract. 16-7 is 9
This looks like "half" a property. I'm assuming you mean something that looks like this:
IF a + b = a + c, THEN b = c. In the expression in your problem, the role of a is being played by 7. The role of b is played by (4 + 6), and the role of c is played by n.
The conclusion would be that 4 + 6 = n.
But you asked about what the property is called. The likely name is the subtraction property of equality. How did we go from a + b = a + c to the conclusion b = c? We subtracted a from both sides of the equation.
Answer:
-- x intercept
-- y intercept
Step-by-step explanation:
Given
Required
Determine the x and y intercept
For x intercept.
Set
So, we have:
Collect Like Terms
Make x the subject
Hence, the x intercept is:
For the y intercept;
Set
So, we have:
Hence, the y intercept is:
Answer:
1184
Step-by-step explanation:
Given :
No. of parts made by machine A in 10 minutes = 7
No. of parts made by machine A in 10*6 minutes (1 hour) = 7 * 6 = 42 parts
No. of parts made by machine A in 12 hours as
required in problem = 42 * 12 = 504
______________________________________________________
No. of parts made by machine B in 15 minutes = 17
No. of parts made by machine A in 15*4 =60 minutes (1 hour) = 17 * 4= 68 parts
No. of parts made by machine B in 10 hours as
required in problem = 68 * 10 = 680
______________________________________________________
There fore total no. of parts made by
machine A and machine B on Monday = 680 + 504 = 1184 (Answer)
<span>Because a mean is an average, the means of each of the samples of 40 college presidents' incomes will have less of a skew than the actual income distribution in dollars of all of them. That is because outliers, like a president who is paid $2 million a year, will be averaged in with many others who are paid less. The shape of the curve of the means will depend upon how many different samples of 40 presidents are included, with the shape becoming more bell-like (normal distribution) the more random samples are included. Another consideration is how often the outliers are included and how big the income skew is that you start with. For example, if 2 college presidents are earning $2 million a year and the other 4,198 are earning $200,000 or less then the shape of your curve will depend greatly upon the number of times those two high earners are randomly selected and factored into the mean.</span>