Where the variance is 0.32, the mean is 0.40, and there are provided sets of probabilities, the standard deviation will be 0.566.
<h3>What is standard deviation?</h3>
The average degree of variability in your dataset is represented by the standard deviation. It reveals the average deviation of each statistic from the mean. In general, values with a high standard deviation are spread out from the mean, whereas those with a low standard deviation are grouped together close to the mean.
Here,
mean=0.4
variance=(Xn-mean)².P(x)n
=(0-0.4)²*(0.64)+(1-0.4)²*(0.32)+(2-0.4)²*0.04
variance=0.32
Standard deviation=√(variance)
=√0.32
=0.566
The standard deviation will be 0.566 where variance in 0.32 and mean is 0.40 and given sets of probability.
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Answer:
Neal
Step-by-step explanation:
13.01 < 13.89
Answer:
14/3
Step-by-step explanation:
2*7=14
put 14 over 3
Answer:
ans=(-2,2)
Step-by-step explanation:
let the end point of circle diameter (-1,5) and (3,-1) be (x1,y1) and (x2,y2) respectively
using mid point formula
(x,y)=(-1,5)/2+(-3,-1)/2 [center point is equal to mid point of diameter)
= (-1+(-3))/2+(5-1)/2
=(-2,2)
center coordinate of circle=(-2,2)
Using the formula
A = Pe^kt
Where A is the ending amount of population, P is the population k is a constant and 't' is time.
A = 0.39, t= 12 and p= 0.29
0.39= 0.29e^12k
1.34 = e^12k
ln1.34 = 12k
ln1.34/12 = k
K= 0.02
No the graph does not support his claim as k should be equal to 0.5