Answer:
volume= 56.55 yds
Step-by-step explanation:
If you're looking for the volume, the formula is
.
Diameter is two times the radius (radius is half of the diameter) so the radius of the cylinder would be 1.5 yds.
After you've gotten that information, plug those values into the formula.

Solve 1.5^2 first. Then multiply that value by pi. Then multiply that value by the height which is 8yds.
Volume=56.55yds rounded to the nearest hunderedth.
Answer:
Im not so sure about what your asking, but I'm assuming that your asking about the lengths of the circle. The 6 inches would be the diameter and the 3 inches would be the radius and the 3.14 would be the circumference.
Step-by-step explanation:
I hope this helps, if it doesn't then just message me and ill be more than happy to help :)
Answer:
(0,4)
Y =2.5X +4
Step-by-step explanation:
Answer:
No solution
Step-by-step explanation:
Note how "2x" shows up in both equations. This suggests doing a substitution to solve the system.
Focus first on the first equation. Solving 2x - y = 7 for 2x, we get:
2x = y + 7.
Next, we substitute y + 7 for 2x in the second equation:
y = (y + 7) + 3.
Simplifying this produces:
0 = 10
This is not true and can never be true. Thus, this system has no solution.
Answer:
Mean and IQR
Step-by-step explanation:
The measure of centre gives the central or the measure which gives the best mid term of a distribution. Based in the details of the box plot, the median is the value which divides the box in the box plot.
For company A:
Range = 25 to 80 with a median value at 30 ; this means the median does not give a good centre measure of the distribution ad it is very close to the minimum value. This goes for the Company B plot too; with values ranging from (35 to 90) and the median designated at 40.
Hence, the mean will be the best measure of centre rather Than the median in this case.
For the variability, the interquartile range would best suit the distribution. With the lower quartile and upper quartile both having reasonable width to the minimum and maximum value of the distribution.