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yangyang718
25.11.2019 •
Mathematics
Acalculator weighs 5 ounces. do 11 calculators weigh more than 4 pounds
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Ответ:
Thanks for using !
Yes
Step-by-step explanation:
So one calculator weighs 5 ounces. So if we have 11 we sould times 5 x 11 to equal 55. After, we calculate how many ounces 4 pounds is. If one ounce to a pound is 16 we do 16 x 4 that would equal 64. That is above 55 ounces.
Not what you're looking for? Reply to this question for help. If not, if you have time please hit the thanks. If you think this can help others you can always hit the Brainlist button, none of the things above are needed. :)
Take care, Eric
Ответ:
a) What is the probability that the duration of a particular rainfall event at this location is at least 2 hours?
We want this probability"
At most 3 hours?
b) What is the probability that rainfall duration exceeds the mean value by more than 2 standard deviations?
What is the probability that it is less than the mean value by more than one standard deviation?
Step-by-step explanation:
Previous concepts
The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:
The cumulative distribution for this function is given by:
We know the value for the mean on this case we have that :
Solution to the problem
Part a
What is the probability that the duration of a particular rainfall event at this location is at least 2 hours?
We want this probability"
At most 3 hours?
Part b
What is the probability that rainfall duration exceeds the mean value by more than 2 standard deviations?
The variance for the esponential distribution is given by:![Var(X) =\frac{1}{\lambda^2}](/tpl/images/0512/0749/9af6b.png)
And the deviation would be:
And the mean is given by![Mean = 2.725](/tpl/images/0512/0749/f2555.png)
Two deviations correspond to 5.540, so we want this probability:
What is the probability that it is less than the mean value by more than one standard deviation?
For this case we want this probablity: