Answer:
It will take Carrie 8 months to pay off the loan
Step-by-step explanation:
Step 1: Determine the expression for total amount to be paid
T=m×n
where;
T=total amount to be payed
m=total payments per month
n=number of payments to be made
In our case;
T= $960
m= $120
n=unknown
replacing;
960=120×n
120 n=960
n=960/120
n=8 months
It will take Carrie 8 months to pay off the loan
Answer:
x^ (5/3) y ^ 1/3
Step-by-step explanation:
Rewriting as exponents
(x^5y) ^ 1/3
We know that a^ b^c = a^(b*c)
x^ (5/3) y ^ 1/3
Answer:
4
Step-by-step explanation:
Hope this helps!
Answer:
a). -5.7 meters or 5.7 meters below sea level
b). When we combine the two depths we sum them since they are an increment in the same direction and we sum them from the seal level, our first reference point.
Step-by-step explanation:
a). Final depth=Initial depth+deeper increment=(-1.5)+(-4.2)=-5.7
Initial depth=-1.5 represented by a negative number since she is below sea level, meaning her reference point(point 0) is the sea level. The more she moves below the sea level the deeper she goes and the more her depth becomes negative
Deeper increment=-4.1, she further moves deeper from her initial depth(-1.5) by a value of -4.1. In order to find her final depth, we have to sum all the depths she covered from her first reference point which is the see level.
The expression is;
Final depth=Initial depth+deeper increment=(-1.5)+(-4.2)=-5.7 meters
Her final depth=-5.7 meters
b). When we combine the two depths we sum them since they are an increment in the same direction and we sum them from the seal level, our first reference point.
Answer:
The probability that a student earns a grade of A is 1/7.
Let E be an event and S be the sample space. The probability of E, denoted by P(E) could be computed as:
P(E) = n(E) / n(S)
As the total number of students = n(S) = 35
Students getting the grade A = n(E) = 5
So, the probability that a student earns a grade of A:
P(E) = n(E) / n(S)
= 5/35
= 1/7
Hence, the probability that a student earns a grade of A is 1/7.
Keywords: probability, sample space, event
