Answer:
Step-by-step explanation:
we know that
The formula to calculate the depreciated value is equal to
where
V is the depreciated value
P is the original value
r is the rate of depreciation in decimal
x is Number of Time Periods
in this problem we have
substitute in the formula
Answer:
5.75x10^11
Step-by-step explanation:
quotient of 2,300 and (0.4x10^-8) is
2,300 ÷ (0.4x10^-8)
2300 = 2.3x10^3
We now have
2.3x10^3 / 0.4x10^-8
= (2.3/0.4) x ( 10^(3 - (-8))
= 5.75 x (10^(3+8))
= 5.75 x (10^11)
= 5.75x10^11
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Answer: 
Step-by-step explanation:
<h3>
The missing question is: "What is the Functions formula A(t)=?"</h3><h2 />
The equation of the line in Slope-Intercept form is:
Where "m" is the slope and "b" is the y-intercept.
According to the data given in the exercise, you know that:
- 
represents the area to paint the Hiros' romm as a function of time.
- The rate he painted the room was 8 square meters per hour.
- The area left to paint after 3 hours was 28 m².
Therefore, based on this, you can idenfity that:
1. The slope of the line is:
2. One of the point on the line is:
So you must substitute the slope and the coordinates of that point into and then solve for "b" in order to find its value:
Therefore, you can determine that the function is:
For a set population, does a parameter ever change?
Answer: For a set population, a parameter never change.
Because while computing the parameter each and every unit of the population is studied. Therefore, we can not expect a parameter to vary.
If there are three different samples of the same size from a set population, is it possible to get three different values for the same statistic?
Answer: Data from samples may vary from sample to sample, and so corresponding sample statistic may vary from sample to sample.
Because while calculating the sample statistic, we consider only the part of population. Every time we draw a sample from population, there is every possibility of getting different sample. Therefore, data from samples may vary from sample to sample and corresponding sample statistic may vary from sample to sample.
