Answer:
True
Step-by-step explanation:
Meters, centimeters, inches, miles, etc. are units of length.
Using the relation between standard deviation and variance it is concluded that the standard deviation for the population for the given variance is 7.1
<h3>What is the relation between standard deviation and sample variance? </h3>
In statistics, the two most crucial metrics are variance and standard deviation. While the variance is a measurement of how data points vary from the mean, standard deviation is a measure of the distribution of statistical data.
The square root of the variance yields the standard deviation, i.e.
Standard deviation = 
Given that sample, the variance is 49.7 and we have to calculate the standard deviation.
Standard deviation (σ) =
= 
= 7.0498
=7.1
Hence, the standard deviation for the population for the given variance is 7.1
To know more about the relation between standard deviation and variance, visit:
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-8x - 8.
16x - 24 x = -8x
-12 + 4 = 8
Answer:
12%
Step-by-step explanation:
Percentage increase of something is often represented in a formula of a format like this:
X=Ar^t
Where X represents the total amount after t years.
A or 87000 in this case represents the starting value, which is this case is the starting population of the town. r or 1.12 represents the percentage increase, if it increases by 12% than the next year has 1.12 times as many people as the previous year so this is represented by 1.12 rather than say 0.12 which would indicate a 88% decrease instead. t is the time, no. of years in this case, that has elapsed since 1996.
This formula basically means that a town population of 87000 increases by 12% for every year of time that elapses.
Hope this helped!