Simplest way to do this:
number of books= 120
percentage represented by 120= 100%
increase current percent by 55%= 155%
: . 55% increase = original number of books * (155%)
= 120 * (155/100)
= 186
Answer:
3rd jump
Step-by-step explanation:
The distance jumped is given in the table attached. to get the jump that do not round up to 4.7 meters, we round each of the jump to one decimal place and then select the jump that does not round up to 4.7 meters.
Therefore rounding off gives:
1st jump: 4.746 meters = 4.7 meters to one decimal place
2nd jump: 4.680 meters = 4.7 meters to one decimal place
3rd jump: 4.647 meters = 4.6 meters to one decimal place (does not round to 4.7 meters)
4th jump = 4.733 meters = 4.7 meters to one decimal place
Step One
Find the area of the base
A = s * s
s = 755.5 feet
Area = 755.5^2
Area = 570780.25 square feet.
Step two
Multiply the volume by 3
V = 1/3 B * h
3*V = B * h
V = 85600000
85600000 * 3 = B * h
256800000 = B * h
Step Three
Divide by B
B = 570780.25
256800000 = 570780.25 * h
256800000 / 570780.25 = h
449.91 feet = h
Answer:
9
Step-by-step explanation:
Given data
Ride ticket= $2
Admission= $7
Amount= $25
We want to find the greatest number of rides
let the number of rides be x
The expression to describe how she spends the amount is given as
y=7+2x
for y= 25, let us find x
25= 7+2x
25-7= 2x
18=3x
x= 18/2
x= 9
Hence the number of rides is 9
Answer:
See the explantion below
Step-by-step explanation:
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
Assuming the X follows a normal distribution
We know that the margin of error for a confidence interval is given by:
(1)
If we see the formula (1) at the same confidence level, for example 95% and with the same sample size the margin of error just depends of the deviation. If the population deviation for population A is higher than the population deviation for B then A will have more margin of error than B.
On the other case if the deviation for population A is lower than the deviation for population B, then we will have less margin of error for population A than population B.
And the other possible case if both population have the same deviation, then both have equal margin of error.