Answer:
$26.25
Step-by-step explanation:
We know that I = Prt where I = Interest, P = Principal, r = rate (as a decimal) and t = time (in years). Therefore:
I = 750 * 0.035 * 1 = $26.25
Answer:
decimal form: 0.0357
fraction form: 375/10000
Step-by-step explanation:
For the answer to the question above, asking to g<span>raph the six terms of a finite series where a1 = 5 and r = 1.25.
I'll provide the answer with the solutions below.
</span>a1 = 5
<span>a2 = 5*r = 5*(5/4) = 25/4 </span>
<span>a3 = 5*r² = 5*(5/4)² = 125/16 </span>
<span>a4 = 5*r³ = 5*(5/4)³ = 625/256 </span>
<span>a5 = 5*r⁴ = 5*(5/4)⁴ = 3125/1024
</span>I hope this helps
Answer:
Distance between the points Q and R is 1 unit while the distance between the points R and S is 3 units
Step-by-step explanation:
Here, we want to use the absolute value of the coordinates to find the distances.
Since we are using absolute values, the negative points becomes positive;
Thus;
Q = (4,2)
R = (3,2)
S = (3,5)
Mathematically, the distance between two points in the Cartesian plane can be calculated using the formula;
D = √(x2-x1)^2 + (y2-y1)^2
The distance QR is thus;
D = √(3-4)^2 + (2-2)^2
D = √(-1)^2 + 0
D = √1 = 1 unit
The distance RS is thus;
D = √(3-3)^2 + (5-2)^2
D = √(0) + (9)
D = √9 = 3 units
Answer:
a) 0.5233 = 52.33% probability of picking someone who has the disease.
b) 0.9091 = 90.91% probability of picking someone who tests negative, given that he/she did not have the disease
Step-by-step explanation:
A probability is the number of desired outcomes divided by the number of total outcomes.
a) What is the probability of picking someone who has the disease.
132 + 25 = 157 people have the disease
132 + 25 + 13 + 130 = 300 people total
157/300 = 0.5233
0.5233 = 52.33% probability of picking someone who has the disease.
b) What is the probability of picking someone who tests negative, given that he/she did not have the disease?
143 people did not have the disease.
130 tested negative. So
130/143 = 0.9091
0.9091 = 90.91% probability of picking someone who tests negative, given that he/she did not have the disease
