1) Find g (4) by substituting 4 in place of x in g (x).
g(4) = 4^3 = 64
2) Substitute 64 in place of the x in f(x)
f(64) = 2(64) + 5
= 128 + 5
= 133
Answer:
View graph
Step-by-step explanation:
The closest by default to 1100 cubic inches is taking two side and two front covers and that would give you 1080.12 cubic inches since two of the covers you must subtract 3 cm per side and side which would add 6 cm in total so outside would be 35 cm and indoor 29 cm
. According the graph
29*50*3= 4350 * 2 lid = 8700 cm3
30*50*3= 4500*2 lid = 9000 cm3
So 8700+9000 = 17700 cm3 to inches 3 = 1080.12 cm3
Answer:
18,432 pi cubic ft
Step-by-step explanation:
This problem can be solved using formula to find circumference and volume of sphere
for any sphere with radius r
circumference of sphere is 2* pi * r
volume of sphere is found by using formula 4/3*(pi*r^2)
Given circumference of sphere is 48 pi ft
therefore
2* pi * r = 48 pi ft
r = 48 pi ft/ 2* pi = 24 ft
substituting the value of r is formula of volume of sphere we have
volume of sphere is = 4/3*(pi*24^3) = 18,432 pi cubic ft
Answer:
bc= 6
Step-by-step explanation:
since the triangles are similar, the sides are in a ratio
xz/ac = 20/4 (5:1)
yx/ba = 15/3 (5:1)
yz/bc = 5:1 = 30/6
The plot that organizes the data into 4 groups of equal sizes is box and whisker plot.
The image below shows a box and whisker plot. Following are the elements of box and whisker plot:
Minimum = This is the smallest value of the data set
Q1 = First (Lower) Quartile of the data set. 25% of the data values lie below this point
Q2 = Second Quartile or Median. This is the central value so 50% of the data values lie below this point
Q3 = Third (Upper) Quartile of the data set. 75% of the data values lie below this point.
Maximum = This is the maximum value of the data set.
Based on box and whisker plot we can compare two or more sets of data by comparing the spread of the data. We can also directly observe from the box and whisker plot if the data is uniform, normal or skewed. Using box and whisker plot we can also visualize any outliers that may be in the data.