A. True if im wrong sorry hope this helped tho :p
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.
To know more about standard deviation,
brainly.com/question/13905583
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Let's compare!
Taylor ran 57 + 48 mins total. Sum would be 105 mins.
Mark ran 62 + 53 mins total. Sum would be 115 mins.
Clearly, the two sums are different when we compare them using subtraction.
115 - 105 = 10. Mark ran 10 mins longer than Taylor.
150% of the number 24 is 36.
Answer:
I am so not good at math at all