A is the answer to your question
Answer:
3xy - xz, or x(3y - z)
Step-by-step explanation:
2x(y-z)+x(y+z) becomes
2xy - 2xz)+ xy + xz)
combining the xy terms, we get 3xy;
combining the xz terms, we get -xz
Thus, the complete simplified expression is 3xy - xz, or x(3y - z)
Answer: k = 200/3
Step-by-step explanation:
If a variable, a varies directly with a variable, c, it means that as a increases, c increases and as a decreases, c decreases.
Also, If a variable, a varies inversely with a variable, b, it means that as a increases, b decreases and as a decreases, c increases.
The variable c varies directly with a and inversely with b. We would introduce a constant of variation, k. Therefore
a = kc/b
If c = 3/20 when a = 2 and b =5, then
2 = (k × 3/20)/5 = 3k/100
Cross multiplying, it becomes
3k = 100 × 2 = 200
k = 200/3
Answer:
14,130 cm³
Step-by-step explanation:
V = 4/3πr³
= 4/3 x 3.14 x 15 x 15 x 15
= 20 x 225 x 3.14
= 706.5 x 20
= 14,130 cm³
Answer:
The ratio level of measurement is most appropriate because the data can be ordered differences can be found and are meaningful, and there is a natural starting zero point.
That's the correct answer since our variable is numerical and have a natural starting point at 0 and the negative values not makes sense.
Step-by-step explanation:
The interval level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is no natural starting point.
Our variable is numerical but we have a starting point defined so it can't be an interval variable.
The nominal level of measurement is most appropriate because the data cannot be ordered.
False on this case the bolume can't be a nominal variable since we don't have a categorical variable.
The ordinal level of measurement is most appropriate because the data can be ordered, but differences (obtained by subtraction) cannot be found or are meaningless.
False we don't have ordered relationship among the variable’s observations
The ratio level of measurement is most appropriate because the data can be ordered differences can be found and are meaningful, and there is a natural starting zero point.
That's the correct answer since our variable is numerical and have a natural starting point at 0 and the negative values not makes sense.
