Variance to be zero: only one condition that ll the values or measurements of variable must be same.
variance = summation of (x - a)²
where is x is each data value in the collection
a is average of all data in the collection.
Summation of squares is zero implies that each square is zero.
each x -a must be 0.
Answer:
d. S.D= 7.3
Step-by-step explanation:
x f f(x) x² f(x²)
75 2 150 5625 11250
80 3 240 6400 19200
85 2 170 7225 14450
90 2 180 8100 16200
95 0 0 9025 0
100 1 100 10000 10000
Sum f= 10 fx= 840 f(x²) = 71,100
Standard Deviation = √Sum fx² - (Sum f(x))²/sum f/ f
S.D= √71,100- (840)²/10/10
S.D= √71,100- 70560/10
S.D= √540/10
S.D= √54
S.D= 7.348 ≅7.3
Answer:
9
Step-by-step explanation:
i hope this is helpful........
Since the value is between <span>80% and 95%, so the greatest percent error she could have is (95% - 80%) / 2 = 7.5%
proof
if we take for example 94.9% (the nearest value to 95%), 100% - 94.9% = 5, 4% this is thepossible value of the greatest percent error
if we take for example 80.001 (nearest value to 80%) the greatest error will be 20%, but she got a grade 95% (20% is impossible)
the greatest percent error is </span><span> (95% - 80%) / 2 = 7.5%</span><span>
</span>
We may be thinking about either of these choices depending on whether we are talking about immigration or emigration.
This is further explained below.
<h3>What is a differential equation?</h3>
Generally, The rates of births and deaths will be represented accordingly by the superscripts 
and 
.
The model transforms into the following when subjected to the circumstances outlined in the problem:
In conclusion, You need to submit model 1 in order to get more information.
In the event that the proportionality assumptions about birth and death be loosened up, the model that is necessary for issue 1 would become the following:
Depending on whether we are discussing immigration or emigration, we may be contemplating either of these options.
Read more about differential equation
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