Answer:
You have to use the formula for compound interest which is: A=P(1+r/n)^nt
The Givens info is:
A=?
P=1000
r= 6% = 0.06 (convert into decimal)
n=12(# of interest periods: since it is monthly n=12)
t=10
Now your formula should look like this:
A= 1000*(1+(0.06/12))^12*10
A=1000*(1.005)^120
A=1000*(1.819396734)
A=$1819.40
Step-by-step explanation:
Answer:
value of x = 8
Step-by-step explanation:
if the given lines are parallel, then the shown pair of angles are corresponding angles,
and we know that the the pair of corresponding angles are equal so,
=》16x - 8 = 120
=》16x = 128
=》x = 128 ÷ 16
=》x = 8
Answer:
3 cups
Step-by-step explanation:
Assumptions: How much sugar does cost sprinkle on the brownies. Cost meant Cody
Given data:
Total of 4 cups
3/4 is sprinkled onto a plate of brownies
The rest onto a plate of lemon cookies
<em>Sugar sprinkled on brownies </em>= (3/4) * 4
<em>Sugar sprinkled on brownies</em> = 3 cups.
Answer:
predictive value of a positive test = 18.18%
predictive value of a negative test = 94.03%
Step-by-step explanation:
Sensitivity = 60% = 0.6
Specificity = 70% = 0.7
Let True Positive = TP
True Negative = TN
False Negative = FN


Prevalence = 10% = 0.1
Three hundred people are screened, 
Total number of people having the disease, 


But TP = 1.5 FN
30 = 1.5 FN + FN
30 = 2.5 FN
FN = 30/2.5
FN = 12
TP = 1.5 FN = 1.5 * 12
TP = 18

81 + TN = 270
TN = 189
To calculate the Predictive value of positive test (PPT)

To calculate the Predictive value of negative test (PNT)
