A=3,500×(1+0.0485÷4)^(4×11)
A=5,947.99
6000=3500(1+0.0485/4)^4t
Solve for t to know the time needed to reach 6000
Time=11.2
So the time needed is 11 years and 2 months
Answer:
228 cubic centimeters
Step-by-step explanation:
Find the volume for the blue box: 8 x 1 x 6 = 48
Find the volume of the orange box: 6 x 6 x 5 = 180
48 + 180 = 228
a right angle is 90°, or 1/4 of a circle.
3/5 * 1/4 = 3/20
radian measure is the length of the circumference of this part of the circle.
a full circumference of a circle would be 2*pi*r, also expressed as 2 rad * r
now let's multiply the full thing with the 3/20 from earlier to just get the desired fraction:
6/20 rad * r
<u>= 3/10 rad * r</u>
of course a solution in cm or inch still depends on the radius here, wich could be just plugged in at will
Answer:
- a. 552 square inches
- b. 835.7 square inches
- c. 1256.6 square inches
- d. 4584 square inches
- e. 432 cubic inches
- f. 1847.3 cubic inches
- g. 4188.8 cubic inches
- h. 9179.3 cubic inches
Step-by-step explanation:
a-c. The area formulas for these figures are ...
rectangular prism: A = 2(lw +h(l+w))
cylinder: A = 2πr(r +h)
sphere: A = 4πr^2
d. The total will be the sum of products: area of each pillow times the number of that type
__
e-g. The volume formulas for these figures are ...
rectangular prism: V = lwh
cylinder: V = πr^2h
sphere: V = (4π/3)r^3
h. As with area, the total volume is the sum of products: volume of each pillow times the number of that type.
Answer:
The correct option is C) large sample size (n) with small variance.
Step-by-step explanation:
Consider the provided information.
It is given that the other factors are held constant, and we want the narrowest confidence interval for a population mean.
Confidence interval for a population mean is directly proportional to variance and inversely proportional to the sample size.
If we increase the variance, CI will increase. But we want the narrowest CI, so variance should be small.
As CI is inversely proportional to sample size, therefore if we increase the sample size CI will decrease.
Hence, the correct option is C) large sample size (n) with small variance.
